diff --git a/CHANGELOG.md b/CHANGELOG.md index 9f47a56cc..58671a6bb 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -2,7 +2,17 @@ Changelog ========= New Features -- Add ``from_input_file`` method to ``Equilibrium`` class to generate an ``Equilibrium`` object with boundary, profiles, resolution and flux specified in a given DESC or VMEC input file +- Adds ``from_input_file`` method to ``Equilibrium`` class to generate an ``Equilibrium`` object with boundary, profiles, resolution and flux specified in a given DESC or VMEC input file +- Adds function ``solve_regularized_surface_current`` to ``desc.magnetic_fields`` module that implements the REGCOIL algorithm (Landreman, (2017)) for surface current normal field optimization + * Can specify the tuple ``current_helicity=(M_coil, N_coil)`` to determine if resulting contours correspond to helical topology (both ``(M_coil, N_coil)`` not equal to 0), modular (``N_coil`` equal to 0 and ``M_coil`` nonzero) or windowpane/saddle (``M_coil`` and ``N_coil`` both zero) + * ``M_coil`` is the number of poloidal transits a coil makes before returning to itself, while ``N_coil`` is the number of toroidal transits a coil makes before returning to itself (this is sort of like the QS ``helicity``) + * if multiple values of the regularization parameter are input, will return a family of surface current fields (as a list) corresponding to the solution at each regularization value +- Adds method ``to_CoilSet`` to ``FourierCurrentPotentialField`` which implements a coil cutting algorithm to discretize the surface current into coils + * works for both modular and helical coils +- Adds a new objective ``SurfaceCurrentRegularization`` (which minimizes ``w*|K|``, the regularization term from surface current in the REGCOIL algorithm, with `w` being the objective weight which act as the regularization parameter) + * use of both this and the ``QuadraticFlux`` objective allows for REGCOIL solutions to be obtained through the optimization framework, and combined with other objectives as well. +- Changes local area weighting of Bn in QuadraticFlux objective to be the square root of the local area element (Note that any existing optimizations using this objective may need different weights to achieve the same result now.) +- Adds a new tutorial showing how to use``REGCOIL`` features. Bug Fixes diff --git a/desc/compute/_surface.py b/desc/compute/_surface.py index 8ee685c2b..7ed57bf84 100644 --- a/desc/compute/_surface.py +++ b/desc/compute/_surface.py @@ -382,8 +382,8 @@ def _Phi_z_FourierCurrentPotentialField(params, transforms, profiles, data, **kw units_long="Amperes", description="Surface current potential", dim=1, - params=["params"], - transforms={"grid": [], "potential": []}, + params=[], + transforms={"grid": [], "potential": [], "params": []}, profiles=[], coordinates="tz", data=[], @@ -393,7 +393,7 @@ def _Phi_CurrentPotentialField(params, transforms, profiles, data, **kwargs): data["Phi"] = transforms["potential"]( transforms["grid"].nodes[:, 1], transforms["grid"].nodes[:, 2], - **params["params"] + **transforms["params"] ) return data @@ -405,8 +405,8 @@ def _Phi_CurrentPotentialField(params, transforms, profiles, data, **kwargs): units_long="Amperes", description="Surface current potential, poloidal derivative", dim=1, - params=["params"], - transforms={"grid": [], "potential_dtheta": []}, + params=[], + transforms={"grid": [], "potential_dtheta": [], "params": []}, profiles=[], coordinates="tz", data=[], @@ -416,7 +416,7 @@ def _Phi_t_CurrentPotentialField(params, transforms, profiles, data, **kwargs): data["Phi_t"] = transforms["potential_dtheta"]( transforms["grid"].nodes[:, 1], transforms["grid"].nodes[:, 2], - **params["params"] + **transforms["params"] ) return data @@ -428,8 +428,8 @@ def _Phi_t_CurrentPotentialField(params, transforms, profiles, data, **kwargs): units_long="Amperes", description="Surface current potential, toroidal derivative", dim=1, - params=["params"], - transforms={"grid": [], "potential_dzeta": []}, + params=[], + transforms={"grid": [], "potential_dzeta": [], "params": []}, profiles=[], coordinates="tz", data=[], @@ -439,11 +439,55 @@ def _Phi_z_CurrentPotentialField(params, transforms, profiles, data, **kwargs): data["Phi_z"] = transforms["potential_dzeta"]( transforms["grid"].nodes[:, 1], transforms["grid"].nodes[:, 2], - **params["params"] + **transforms["params"] ) return data +@register_compute_fun( + name="K^theta", + label="K^{\\theta}", + units="A/m^2", + units_long="Amperes per square meter", + description="Contravariant poloidal component of surface current density", + dim=1, + params=[], + transforms={}, + profiles=[], + coordinates="tz", + data=["Phi_z", "|e_theta x e_zeta|"], + parameterization=[ + "desc.magnetic_fields._current_potential.CurrentPotentialField", + "desc.magnetic_fields._current_potential.FourierCurrentPotentialField", + ], +) +def _K_sup_theta_CurrentPotentialField(params, transforms, profiles, data, **kwargs): + data["K^theta"] = -data["Phi_z"] * (1 / data["|e_theta x e_zeta|"]) + return data + + +@register_compute_fun( + name="K^zeta", + label="K^{\\zeta}", + units="A/m^2", + units_long="Amperes per square meter", + description="Contravariant toroidal component of surface current density", + dim=1, + params=[], + transforms={}, + profiles=[], + coordinates="tz", + data=["Phi_t", "|e_theta x e_zeta|"], + parameterization=[ + "desc.magnetic_fields._current_potential.CurrentPotentialField", + "desc.magnetic_fields._current_potential.FourierCurrentPotentialField", + ], +) +def _K_sup_zeta_CurrentPotentialField(params, transforms, profiles, data, **kwargs): + data["K^zeta"] = data["Phi_t"] * (1 / data["|e_theta x e_zeta|"]) + return data + + @register_compute_fun( name="K", label="\\mathbf{K}", @@ -456,16 +500,16 @@ def _Phi_z_CurrentPotentialField(params, transforms, profiles, data, **kwargs): transforms={}, profiles=[], coordinates="tz", - data=["Phi_t", "Phi_z", "e_theta", "e_zeta", "|e_theta x e_zeta|"], + data=["K^theta", "K^zeta", "e_theta", "e_zeta"], parameterization=[ "desc.magnetic_fields._current_potential.CurrentPotentialField", "desc.magnetic_fields._current_potential.FourierCurrentPotentialField", ], ) def _K_CurrentPotentialField(params, transforms, profiles, data, **kwargs): - data["K"] = ( - data["Phi_t"] * (1 / data["|e_theta x e_zeta|"]) * data["e_zeta"].T - ).T - (data["Phi_z"] * (1 / data["|e_theta x e_zeta|"]) * data["e_theta"].T).T + data["K"] = (data["K^zeta"] * data["e_zeta"].T).T + ( + data["K^theta"] * data["e_theta"].T + ).T return data diff --git a/desc/magnetic_fields/__init__.py b/desc/magnetic_fields/__init__.py index 173b04e7e..49115a2a3 100644 --- a/desc/magnetic_fields/__init__.py +++ b/desc/magnetic_fields/__init__.py @@ -15,5 +15,9 @@ field_line_integrate, read_BNORM_file, ) -from ._current_potential import CurrentPotentialField, FourierCurrentPotentialField +from ._current_potential import ( + CurrentPotentialField, + FourierCurrentPotentialField, + solve_regularized_surface_current, +) from ._dommaschk import DommaschkPotentialField, dommaschk_potential diff --git a/desc/magnetic_fields/_core.py b/desc/magnetic_fields/_core.py index 507262d7f..29299d7a1 100644 --- a/desc/magnetic_fields/_core.py +++ b/desc/magnetic_fields/_core.py @@ -319,9 +319,11 @@ def compute_Bnormal( Returns ------- Bnorm : ndarray - The normal magnetic field to the surface given, of size grid.num_nodes. + The normal magnetic field to the surface given, as an array of + size ``grid.num_nodes``. coords: ndarray - the locations (in specified basis) at which the Bnormal was calculated + the locations (in specified basis) at which the Bnormal was calculated, + given as a ``(grid.num_nodes , 3)`` shaped array. """ calc_Bplasma = False diff --git a/desc/magnetic_fields/_current_potential.py b/desc/magnetic_fields/_current_potential.py index a8759155e..5ba132013 100644 --- a/desc/magnetic_fields/_current_potential.py +++ b/desc/magnetic_fields/_current_potential.py @@ -1,15 +1,31 @@ """Magnetic field due to sheet current on a winding surface.""" +import warnings + +import matplotlib.pyplot as plt import numpy as np +import skimage.measure +from scipy.constants import mu_0 -from desc.backend import fori_loop, jnp +from desc.backend import cho_factor, cho_solve, fori_loop, jnp from desc.basis import DoubleFourierSeries from desc.compute import rpz2xyz, rpz2xyz_vec, xyz2rpz_vec from desc.compute.utils import _compute as compute_fun +from desc.derivatives import Derivative from desc.geometry import FourierRZToroidalSurface -from desc.grid import LinearGrid -from desc.optimizable import Optimizable, optimizable_parameter -from desc.utils import copy_coeffs, errorif, setdefault, warnif +from desc.grid import Grid, LinearGrid +from desc.integrals import compute_B_plasma +from desc.optimizable import optimizable_parameter +from desc.utils import ( + Timer, + check_posint, + copy_coeffs, + dot, + errorif, + safediv, + setdefault, + warnif, +) from ._core import ( _MagneticField, @@ -35,7 +51,8 @@ class CurrentPotentialField(_MagneticField, FourierRZToroidalSurface): potential : callable function to compute the current potential. Should have a signature of the form potential(theta,zeta,**params) -> ndarray. - theta,zeta are poloidal and toroidal angles on the surface + theta,zeta are poloidal and toroidal angles on the surface. + Assumed to have units of Amperes. potential_dtheta: callable function to compute the theta derivative of the current potential potential_dzeta: callable @@ -113,6 +130,7 @@ def __init__( check_orientation=check_orientation, ) + # TODO: make this an optimizable parameter so the potential may be optimized @property def params(self): """Dict of parameters to pass to potential function and its derivatives.""" @@ -342,9 +360,7 @@ def from_surface( ) -class FourierCurrentPotentialField( - _MagneticField, FourierRZToroidalSurface, Optimizable -): +class FourierCurrentPotentialField(_MagneticField, FourierRZToroidalSurface): """Magnetic field due to a surface current potential on a toroidal surface. Surface current K is assumed given by @@ -360,22 +376,23 @@ class FourierCurrentPotentialField( and is given as a secular linear term in theta/zeta and a double Fourier series in theta/zeta. - This function then uses biot-savart to find the B field from this current + This class then uses biot-savart to find the B field from this current density K on the surface. Parameters ---------- Phi_mn : ndarray Fourier coefficients of the double FourierSeries part of the current potential. + Has units of Amperes. modes_Phi : array-like, shape(k,2) Poloidal and Toroidal mode numbers corresponding to passed-in Phi_mn coefficients. I : float Net current linking the plasma and the surface toroidally - Denoted I in the algorithm + Denoted I in the algorithm, has units of Amperes. G : float Net current linking the plasma and the surface poloidally - Denoted G in the algorithm + Denoted G in the algorithm, has units of Amperes. NOTE: a negative G will tend to produce a positive toroidal magnetic field B in DESC, as in DESC the poloidal angle is taken to be positive and increasing when going in the clockwise direction, which with the @@ -744,6 +761,184 @@ def from_surface( check_orientation=False, ) + def to_CoilSet( # noqa: C901 - FIXME: simplify this + self, + num_coils, + step=1, + spline_method="cubic", + show_plots=False, + npts=128, + stell_sym=False, + plot_kwargs={"figsize": (8, 6)}, + ): + """Find helical or modular coils from this surface current potential. + + Surface current K is assumed given by + + K = n x ∇ Φ + + Φ(θ,ζ) = Φₛᵥ(θ,ζ) + Gζ/2π + Iθ/2π + + where n is the winding surface unit normal, Φ is the current potential + function, which is a function of theta and zeta, and is given as a + secular linear term in theta (I) and zeta (G) and a double Fourier + series in theta/zeta. + + NOTE: The function is not jit/AD compatible + + Parameters + ---------- + num_coils : int, optional + Number of coils to discretize the surface current with. + If the coils are modular (i.e. I=0), then this is the number of + coils per field period. If the coils are stellarator-symmetric, then this + is the number of coils per half field-period. The coils returned always + have a coil which passes through the theta=0 zeta=0 point of the surface. + step : int, optional + Amount of points to skip by when saving the coil geometry spline + by default 1, meaning that every point will be saved + if higher, less points will be saved e.g. 3 saves every 3rd point + spline_method : str, optional + method of fitting to use for the spline, by default ``"cubic"`` + see ``SplineXYZCoil`` for more info + show_plots : bool, optional, + whether to show plots of the contours chosen for coils, by default False + npts : int, optional + Number of zeta points over one field period to use to discretize the surface + when finding constant current potential contours. + stell_sym : bool + whether the coils are stellarator-symmetric or not. Defaults to False. Only + matters for modular coils (currently) + plot_kwargs : dict + dict of kwargs to use when plotting the contour plots if ``show_plots=True`` + ``figsize`` is used for the figure size, and the rest are passed to + ``plt.contourf`` + + Returns + ------- + coils : CoilSet + DESC `CoilSet` of `SplineXYZCoil` coils that are a discretization of + the surface current on the given winding surface. + + """ + check_posint(num_coils, "num_coils", False) + check_posint(step, "step", False) + check_posint(npts, "npts", False) + nfp = self.Phi_basis.NFP + + net_toroidal_current = self.I + net_poloidal_current = self.G + helicity = safediv( + net_poloidal_current, net_toroidal_current * nfp, threshold=1e-8 + ) + coil_type = "modular" if jnp.isclose(helicity, 0) else "helical" + # determine current per coil + if coil_type == "helical": + # helical coils + coil_current = jnp.abs(net_toroidal_current) / num_coils + else: # modular coils + coil_current = net_poloidal_current / num_coils / nfp + if stell_sym: # num_coils is num coils per half period, so + # need to account for the extra factor of 2 + coil_current = coil_current / 2 + assert not jnp.isclose(net_toroidal_current, 0) or not jnp.isclose( + net_poloidal_current, 0 + ), ( + "Detected both net toroidal and poloidal current are both zero, " + "this function cannot find windowpane coils" + ) + + contour_theta, contour_zeta = _find_current_potential_contours( + self, + num_coils, + npts, + show_plots, + stell_sym, + net_poloidal_current, + net_toroidal_current, + helicity, + plot_kwargs=plot_kwargs, + ) + + ################################################################ + # Find the XYZ points in real space of the coil contours + ################################################################ + + contour_X, contour_Y, contour_Z = _find_XYZ_points( + contour_theta, + contour_zeta, + self, + ) + ################################################################ + # Create CoilSet object + ################################################################ + # local imports to avoid circular imports + from desc.coils import CoilSet, SplineXYZCoil + + coils = [] + for j in range(num_coils): + if coil_type == "helical": + # helical coils + # make sure that the sign of the coil current is correct + # by dotting K with the vector along the contour + # TODO: probably could use helicity sign and just check the slope of + # the contours to see which way they are going, but this is easy for + # now and not too expensive + contour_vector = jnp.array( + [ + contour_X[j][1] - contour_X[j][0], + contour_Y[j][1] - contour_Y[j][0], + contour_Z[j][1] - contour_Z[j][0], + ] + ) + K = self.compute( + "K", + grid=Grid( + jnp.array([[0, contour_theta[j][0], contour_zeta[j][0]]]) + ), + basis="xyz", + )["K"] + current_sign = jnp.sign(jnp.dot(contour_vector, K[0, :])) + thisCurrent = current_sign * jnp.abs(coil_current) + else: + # modular coils + # make sure that the sign of the coil current is correct + # don't need to dot with K here because we know the direction + # based off the direction of the theta contour and sign of G + # (extra negative sign because a positive G -> negative toroidal B + # but we always have a right-handed coord system, and so current flowing + # in positive poloidal direction creates a positive toroidal B) + # for modular coils, easiest way to check contour direction is to see + # direction of the contour thetas + sign_of_theta_contours = jnp.sign( + contour_theta[0][-1] - contour_theta[0][0] + ) + current_sign = -sign_of_theta_contours * jnp.sign(net_poloidal_current) + thisCurrent = jnp.abs(coil_current) * current_sign + coil = SplineXYZCoil( + thisCurrent, + jnp.append(contour_X[j][0::step], contour_X[j][0]), + jnp.append(contour_Y[j][0::step], contour_Y[j][0]), + jnp.append(contour_Z[j][0::step], contour_Z[j][0]), + method=spline_method, + ) + coils.append(coil) + # check_intersection is False here as these coils by construction + # cannot intersect eachother (they are contours of the current potential + # which cannot self-intersect by definition) + # unless stell_sym is true, then the full coilset might have + # self intersection depending on if the coils cross the + # symmetry plane, in which case we will check + if coil_type == "modular": + final_coilset = CoilSet( + *coils, NFP=nfp, sym=stell_sym, check_intersection=stell_sym + ) + else: + # TODO: once winding surface curve is implemented, enforce sym for + # helical as well + final_coilset = CoilSet(*coils, check_intersection=False) + return final_coilset + def _compute_A_or_B_from_CurrentPotentialField( field, @@ -842,3 +1037,891 @@ def nfp_loop(j, f): if basis == "rpz": B = xyz2rpz_vec(B, x=coords[:, 0], y=coords[:, 1]) return B + + +def solve_regularized_surface_current( # noqa: C901 fxn too complex + field, + eq, + lambda_regularization=1e-30, + current_helicity=(1, 0), + vacuum=False, + regularization_type="regcoil", + source_grid=None, + eval_grid=None, + vc_source_grid=None, + external_field=None, + external_field_grid=None, + verbose=1, +): + """Runs REGCOIL-like algorithm to find the current potential for the surface. + + NOTE: The function is not jit/AD compatible + + Follows algorithm of [1]_ to find the current potential Phi on the surface, + given a surface current:: + + K = n x ∇ Φ + Φ(θ,ζ) = Φₛᵥ(θ,ζ) + Gζ/2π + Iθ/2π + + The algorithm minimizes the quadratic flux on the plasma surface due to the + surface current (B_Phi_SV for field from the single valued part Φₛᵥ, and + B_GI for that from the secular terms I and G), plasma current, and external + fields:: + + Bn = ∫ ∫ (B . n)^2 dA + B = B_plasma + B_external + B_Phi_SV + B_GI + + G is fixed by the equilibrium magnetic field strength, and I is determined + by the desired coil topology (given by ``current_helicity``), with zero + helicity corresponding to modular coils, and non-zero helicity corresponding + to helical coils. The algorithm then finds the single-valued part of Φ + by minimizing the quadratic flux on the plasma surface along with a + regularization term on the surface current magnitude:: + + min_Φₛᵥ ∫ ∫ (B . n)^2 dA + λ ∫ ∫ ||K||^2 dA + + where λ is the regularization parameter, smaller `lambda_regularization` + corresponds to less regularization (consequently, lower Bn error but more + complex and large surface currents) and larger `lambda_regularization` + corresponds to more regularization (consequently, higher Bn error but simpler + and smaller surface currents). + + If the ``simple`` regularization is used, the problem instead becomes:: + + min_Φₛᵥ (B . n)^2 + λ ||Φ_mn||^2 + + Parameters + ---------- + field : FourierCurrentPotentialField + ``FourierCurrentPotentialField`` to run REGCOIL algorithm with. + eq : Equilibrium + Equilibrium to minimize the quadratic flux (plus regularization) on. + lambda_regularization : float or ndarray, optional + regularization parameter, >= 0, regularizes minimization of Bn + on plasma surface with minimization of current density mag K on winding + surface i.e. larger lambda_regularization, simpler coilset and smaller + currents, but worse Bn. If a float, only runs REGCOIL for that single value + and returns a list with the single FourierCurrentPotentialField and the + associated data. + If an array is passed, will run REGCOIL for each lambda_regularization in + that array and return a list of FourierCurrentPotentialFields, and the + associated data. + current_helicity : tuple of size 2, optional + Tuple of ``(M_coil, N_coil)`` used to determine coil topology, where`` M_coil`` + is the number of poloidal transits a coil makes before closing back on itself + and ``N_coil`` is the number of toroidal transits a coil makes before + returning back to itself. + if ``N_coil`` is zero and ``M_coil`` nonzero, it corresponds to modular + coil topology. + If both ``N_coil``,``M_coil`` are nonzero, it corresponds to helical coils. + If ``N_coil``,``M_coil`` are both zero, it corresponds to windowpane coils. + The net toroidal current (when ``M_coil`` is nonzero) is set as + ``I = N_coil(G-G_ext)/M_coil`` + As an example, if helical coils which make one poloidal transit per field period + and close on themselves after one full toroidal transit are desired, that + corresponds to ``current_helicity = (1*NFP, 1)`` + vacuum : bool, optional + if True, will not include the contribution to the normal field from the + plasma currents. + regularization_type : {"simple","regcoil"} + whether to use a simple regularization based off of just the single-valued + part of Phi, or to use the full REGCOIL regularization penalizing | K | ^ 2. + Defaults to ``"regcoil"`` + source_grid : Grid, optional + Source grid upon which to evaluate the surface current when calculating + the normal field on the plasma surface. Defaults to + LinearGrid(M=max(3 * current_potential_field.M_Phi, 30), + N=max(3 * current_potential_field.N_Phi, 30), NFP=eq.NFP) + eval_grid : Grid, optional + Grid upon which to evaluate the normal field on the plasma surface, and + at which the normal field is minimized. + Defaults to + `LinearGrid(M=eq.M_grid, N=eq.N_grid, NFP=eq.NFP)` + vc_source_grid : LinearGrid + LinearGrid to use for the singular integral for the virtual casing + principle to calculate the component of the normal field from the + plasma currents. Must have endpoint=False and sym=False and be linearly + spaced in theta and zeta, with nodes only at rho=1.0 + external_field: _MagneticField, + DESC `_MagneticField` object giving the magnetic field + provided by any coils/fields external to the winding surface. + e.g. can provide a TF coilset to calculate the surface current + which is needed to minimize Bn given this external coilset providing + the bulk of the required net toroidal magnetic flux, by default None + external_field_grid : Grid, optional + Source grid with which to evaluate the external field when calculating + its contribution to the normal field on the plasma surface (if it is a type + that requires a source, like a `CoilSet` or a `CurrentPotentialField`). + By default None, which will use the default grid for the given + external field type. + verbose : int, optional + level of verbosity, if 0 will print nothing. + 1 will display Bn max,min,average and chi^2 values for each + lambda_regularization. + 2 will display jacobian timing info + + Returns + ------- + fields : list of FourierCurrentPotentialField + A FourierCurrentPotentialField with the Phi_mn set to the + optimized current potential. This is a list of length + lambda_regularization.size with the optimized fields + for each parameter value lambda_regularization. + data : dict + Dictionary with the following keys,:: + + lambda_regularization : regularization parameter the algorithm was ran + with, a array of passed-in `lambda_regularization` + corresponding to the list of `Phi_mn`. + Phi_mn : the single-valued current potential coefficients which + minimize the Bn at the given eval_grid on the plasma, subject + to regularization on the surface current magnitude governed by + lambda_regularization. + A list of arrays of length `self.Phi_basis.num_modes` if passed-in + `lambda_regularization`, + with list length `lambda_regularization.size`, corresponding to the + list of regularization parameters `lambda_regularization`. + I : float, net toroidal current (in Amperes) on the winding surface. + Governed by the `current_helicity` parameters, and is zero for + modular coils (when `p=current_helicity[0]=0`). + G : float, net poloidal current (in Amperes) on the winding surface. + Determined by the equilibrium toroidal magnetic field, as well as + the given external field. + chi^2_B : quadratic flux squared, integrated over the plasma surface. + list of float of length `lambda_regularization.size`, + corresponding to the array of `lambda_regularization` values. + chi^2_K : Current density magnitude squared, integrated over winding + surface. a list of float of length `lambda_regularization.size`, + corresponding to the array of `lambda_regularization`. + ||K|| : Current density magnitude on winding surface, evaluated at the + given `source_grid`. A list of arrays, with list length + `lambda_regularization.size`, corresponding to the array + of `lambda_regularization`. + eval_grid: Grid object that Bn was evaluated at. + source_grid: Grid object that Phi and K were evaluated at. + + References + ---------- + .. [1] Landreman, Matt. "An improved current potential method for fast computation + of stellarator coil shapes." Nuclear Fusion 57 (2017): 046003. + + """ + errorif( + len(current_helicity) != 2, + ValueError, + "current_helicity must be a length-two tuple", + ) + errorif( + any(int(hel) != hel for hel in current_helicity), + ValueError, + "Helicity values must be integer", + ) + + errorif( + regularization_type not in ["simple", "regcoil"], + ValueError, + 'regularization_type must be "simple" or "regcoil"', + ) + errorif( + not isinstance(field, FourierCurrentPotentialField), + ValueError, + "Expected FourierCurrentPotentialField for field argument, instead got type " + f"{type(field)}", + ) + warnif( + field.sym_Phi == "cos" and field.sym is True and eq.sym is True, + UserWarning, + "Detected incompatible Phi symmetry (cos) for symmetric" + " equilibrium and surface geometry, it is recommended to switch to" + " sin symmetry for Phi.", + ) + + current_potential_field = field.copy() # copy field so we can modify freely + M_coil = current_helicity[0] # poloidal transits before coil returns to itself + N_coil = current_helicity[1] # toroidal transits before coil returns to itself + + # maybe it is an EquilibriaFamily + errorif(hasattr(eq, "__len__"), ValueError, "Expected a single equilibrium") + + if vacuum: + # check if vacuum flag should be True or not + pres = np.max(np.abs(eq.compute("p")["p"])) + curr = np.max(np.abs(eq.compute("current")["current"])) + warnif( + pres > 1e-8, + UserWarning, + f"Pressure appears to be non-zero (max {pres} Pa), " + + "vacuum flag should probably be set to False.", + ) + warnif( + curr > 1e-8, + UserWarning, + f"Current appears to be non-zero (max {curr} A), " + + "vacuum flag should probably be set to False.", + ) + + data = {} + if external_field: # ensure given field is an instance of _MagneticField + assert hasattr(external_field, "compute_magnetic_field"), ( + "Expected MagneticField for argument external_field, " + f"got type {type(external_field)} " + ) + data["external_field"] = external_field + data["external_field_grid"] = external_field_grid + + if source_grid is None: + source_grid = LinearGrid( + M=max(3 * current_potential_field.M_Phi, 30), + N=max(3 * current_potential_field.N_Phi, 30), + NFP=int(eq.NFP), + ) + if eval_grid is None: + eval_grid = LinearGrid(M=eq.M_grid, N=eq.N_grid, NFP=int(eq.NFP)) + B_eq_surf = eq.compute("|B|", eval_grid)["|B|"] + # just need it for normalization, so do a simple mean + normalization_B = jnp.mean(B_eq_surf) + + data["eval_grid"] = eval_grid + data["source_grid"] = source_grid + + # plasma surface normal vector magnitude on eval grid + ne_mag = eq.compute(["|e_theta x e_zeta|"], eval_grid)["|e_theta x e_zeta|"] + # winding surface normal vector magnitude on source grid + ns_mag = current_potential_field.compute(["|e_theta x e_zeta|"], source_grid)[ + "|e_theta x e_zeta|" + ] + + # calculate net enclosed poloidal and toroidal currents + G_tot = -(eq.compute("G", grid=source_grid)["G"][0] / mu_0 * 2 * jnp.pi) + + if external_field: + G_ext = _G_from_external_field(external_field, eq, external_field_grid) + else: + G_ext = 0 + + # G needed by surface current is the total G minus the external contribution + G = G_tot - G_ext + # calculate I, net toroidal current on winding surface + if N_coil == 0 and M_coil == 0: # windowpane coils + I = G = 0 + elif N_coil == 0: # modular coils + I = 0 + elif M_coil == 0: # only toroidally closed coils, like PF coils + I = N_coil * G_tot # give some toroidal current corr. to N_coil + G = 0 # because I==0 + else: # helical coils + I = N_coil * G / M_coil + + # define functions which will be differentiated + def Bn_from_K(phi_mn, I, G): + """B from K from REGCOIL eqn 4.""" + params = current_potential_field.params_dict + params["Phi_mn"] = phi_mn + params["I"] = I + params["G"] = G + Bn, _ = current_potential_field.compute_Bnormal( + eq.surface, eval_grid=eval_grid, source_grid=source_grid, params=params + ) + return Bn + + def K(phi_mn, I, G): + params = current_potential_field.params_dict + params["Phi_mn"] = phi_mn + params["I"] = I + params["G"] = G + data = current_potential_field.compute("K", grid=source_grid, params=params) + return data["K"] + + def surfint_Ksqd(phi_mn, I, G): + K_vec = K(phi_mn, I, G) + K_mag_sqd = dot(K_vec, K_vec, axis=1) + integrand = (K_mag_sqd * ns_mag * source_grid.weights).T + return jnp.sum(integrand).squeeze() + + def surfint_Bnsqd(phi_mn, I, G): + integrand = ((Bn_from_K(phi_mn, I, G) ** 2) * ne_mag * eval_grid.weights).T + return jnp.sum(integrand).squeeze() + + if regularization_type == "regcoil": + # also need these gradients for the RHS if using regcoil regularization + # set jacobian deriv mode based on the matrix dimensions, which is the output + # size (grid nodes, which is eval_grid for Bn and 3*source_grid for K) + # by the input size (the number of Phi modes) + deriv_mode = ( + "fwd" + if eval_grid.num_nodes >= 0.5 * current_potential_field.Phi_basis.num_modes + else "rev" + ) + grad_Bn = Derivative(Bn_from_K, mode=deriv_mode).compute( + current_potential_field.Phi_mn, 0.0, 0.0 + ) + # TODO: likely can make the grad_Ksv one into a compute fxn instead of using + # JAX to compute dK/dPhimn, but this works for now + deriv_mode = ( + "fwd" + if 3 * source_grid.num_nodes + >= 0.5 * current_potential_field.Phi_basis.num_modes + else "rev" + ) + grad_Ksv = Derivative(K).compute(current_potential_field.Phi_mn, 0.0, 0.0) + + timer = Timer() + # calculate the Jacobian matrix A for Bn_SV = A*Phi_mn + timer.start("Jacobian Calculation") + if regularization_type == "regcoil": + A1 = Derivative(surfint_Bnsqd, mode="hess").compute( + current_potential_field.Phi_mn, 0.0, 0.0 + ) + A2 = Derivative(surfint_Ksqd, mode="hess").compute( + current_potential_field.Phi_mn, 0.0, 0.0 + ) + + else: + # set jacobian deriv mode based on the matrix dimensions + deriv_mode = ( + "fwd" + if eval_grid.num_nodes >= 0.5 * current_potential_field.Phi_basis.num_modes + else "rev" + ) + A = ( + Derivative(Bn_from_K).compute(current_potential_field.Phi_mn, 0.0, 0.0).T + * ne_mag + * eval_grid.weights + ).T + timer.stop("Jacobian Calculation") + if verbose > 1: + timer.disp("Jacobian Calculation") + + current_potential_field.I = float(I) + current_potential_field.G = float(G) + + # find the normal field from the secular part of the current potential + # also mutliply by necessary weights and normal vector magnitude + Bn_GI = ( + Bn_from_K(jnp.zeros_like(current_potential_field.Phi_mn), I, G) + * ne_mag + * eval_grid.weights + ) + if not vacuum: # get Bn from plasma contribution + Bn_plasma = compute_B_plasma(eq, eval_grid, vc_source_grid, normal_only=True) + Bn_plasma = Bn_plasma * ne_mag * eval_grid.weights + + else: + Bn_plasma = jnp.zeros_like(Bn_GI) # from plasma current, currently assume is 0 + # find external field's Bnormal contribution + if external_field: + Bn_ext, _ = external_field.compute_Bnormal( + eq.surface, eval_grid=eval_grid, source_grid=external_field_grid + ) + Bn_ext = Bn_ext * ne_mag * eval_grid.weights + + else: + Bn_ext = jnp.zeros_like(Bn_GI) + + rhs = Bn_plasma + Bn_ext + Bn_GI + if regularization_type == "regcoil": + rhs_B = -2 * ((grad_Bn.T * rhs).T).sum(axis=0) + dotted_K_d_K_d_Phimn = dot( + K( + jnp.zeros_like(current_potential_field.Phi_mn), + current_potential_field.I, + current_potential_field.G, + )[:, :, jnp.newaxis], + grad_Ksv, + axis=1, + ) + rhs_K = -2 * (dotted_K_d_K_d_Phimn.T * ns_mag * source_grid.weights).T.sum( + axis=0 + ) + lambda_regularizations = np.atleast_1d(lambda_regularization) + + chi2Bs = [] + chi2Ks = [] + K_mags = [] + phi_mns = [] + Bn_arrs = [] + fields = [] + + # calculate the Phi_mn which minimizes + # (chi^2_B + lambda_regularization*chi^2_K) for each lambda_regularization + # pre-calculate the SVD + if regularization_type == "simple": + u, s, vh = jnp.linalg.svd(A, full_matrices=False) + s_uT = (u * s).T + s_uT_b = -s_uT @ rhs + vht = vh.T + + for lambda_regularization in lambda_regularizations: + printstring = ( + "Calculating Phi_SV for " + + f"lambda_regularization = {lambda_regularization:1.5e}" + ) + if verbose > 0: + print( + "#" * len(printstring) + + "\n" + + printstring + + "\n" + + "#" * len(printstring) + ) + + if regularization_type == "simple": + # calculate Phi_mn with SVD inverse plus the regularization + phi_mn_opt = vht @ ((1 / (s**2 + lambda_regularization)) * s_uT_b) + else: + # solve linear system + matrix = A1 + lambda_regularization * A2 + rhs = rhs_B + lambda_regularization * rhs_K + cho_fac_c_and_lower = cho_factor(matrix) + phi_mn_opt = cho_solve(cho_fac_c_and_lower, rhs) + if jnp.any(jnp.isnan(phi_mn_opt)): + print( + "Singular linear system encountered at " + f"lambda={lambda_regularization}, retrying with pseudoinverse" + ) + # failed to solve, likely bc matrix is singular, use lstsq instead + phi_mn_opt = jnp.linalg.lstsq(matrix, rhs)[0] + + phi_mns.append(phi_mn_opt) + + Bn_SV = Bn_from_K(phi_mn_opt, 0.0, 0.0) * ne_mag * eval_grid.weights + Bn_tot = Bn_SV + Bn_plasma + Bn_GI + Bn_ext + + chi_B = jnp.sum(Bn_tot * Bn_tot / ne_mag / eval_grid.weights) + chi2Bs.append(chi_B) + + current_potential_field.Phi_mn = phi_mn_opt + fields.append(current_potential_field.copy()) + K = current_potential_field.compute(["K"], grid=source_grid)["K"] + K_mag = jnp.linalg.norm(K, axis=-1) + chi_K = jnp.sum(K_mag * K_mag * ns_mag * source_grid.weights) + chi2Ks.append(chi_K) + K_mags.append(K_mag) + Bn_print = Bn_tot + Bn_print_normalized = Bn_tot / normalization_B + Bn_arrs.append(Bn_tot) + if verbose > 0: + units = " (T)" + printstring = f"chi^2 B = {chi_B:1.5e}" + print(printstring) + printstring = f"min Bnormal = {jnp.min(np.abs(Bn_print)):1.5e}" + printstring += units + print(printstring) + printstring = f"Max Bnormal = {jnp.max(jnp.abs(Bn_print)):1.5e}" + printstring += units + print(printstring) + printstring = f"Avg Bnormal = {jnp.mean(jnp.abs(Bn_print)):1.5e}" + printstring += units + print(printstring) + units = " (unitless)" + printstring = f"min Bnormal = {jnp.min(np.abs(Bn_print_normalized)):1.5e}" + printstring += units + print(printstring) + printstring = f"Max Bnormal = {jnp.max(jnp.abs(Bn_print_normalized)):1.5e}" + printstring += units + print(printstring) + printstring = f"Avg Bnormal = {jnp.mean(jnp.abs(Bn_print_normalized)):1.5e}" + printstring += units + print(printstring) + data["lambda_regularization"] = lambda_regularizations + data["Phi_mn"] = phi_mns + data["I"] = I + data["G"] = G + data["chi^2_B"] = chi2Bs + data["chi^2_K"] = chi2Ks + data["|K|"] = K_mags + data["Bn_total"] = Bn_arrs + + return fields, data + + +# TODO: replace contour finding with optimizing Winding surface curves +# once that is implemented +def _find_current_potential_contours( + surface_current_field, + num_coils, + npts=128, + show_plots=False, + stell_sym=False, + net_poloidal_current=None, + net_toroidal_current=None, + helicity=None, + plot_kwargs={}, +): + """Find contours of constant current potential (i.e. coils). + + Surface current K is assumed given by + + K = n x ∇ Φ + + Φ(θ,ζ) = Φₛᵥ(θ,ζ) + Gζ/2π + Iθ/2π + + where: + + - n is the winding surface unit normal. + - Φ is the current potential function, which is a function of theta and zeta, + and is given as a secular linear term in theta (I) and zeta (G) and a double + Fourier series in theta/zeta. + + Parameters + ---------- + surface_current_field : FourierCurrentPotentialField + Surface current potential to find contours of + num_coils : int + number of contours desired + npts : int + number of points to discretize the current potential with in the + zeta direction. The discretization in theta will be proportional to this. + The discretized current potential is then passed to the + ``skimage.measure.find_contours`` which finds contours using a + marching squares algorithm. + show_plots : bool, optional + whether to plot the contours, useful for debugging or seeing why contour finding + fails, by default False + stell_sym : bool, optional + if the modular coilset has stellarator symmetry, by default False. + Does nothing for helical coils. + net_poloidal_current, net_toroidal_current : float, optional + the net poloidal (toroidal) current flowing on the surface. If None, will + attempt to infer from the given surface_current_field's attributes. + helicity : int, optional + the helicity of the coil currents, should be consistent with the passed-in + net currents. If None, will use the correct ratio of net poloidal and net + toroidal currents. + plot_kwargs : tuple + figsize to pass to matplotlib figure call, to control size of figure + if ``show_plots=True`` + + Returns + ------- + contour_theta, contour_zeta: list of 1D arrays + list of length num_coils containing arrays of the theta + and zeta values describing each contour found. + + """ + ################################################################ + # find current helicity + ################################################################ + # we know that I = -(G - G_ext) / (helicity * NFP) + # if net_toroidal_current is zero, then we have modular coils, + # and just make helicity zero + net_poloidal_current = setdefault( + net_poloidal_current, surface_current_field.G, net_poloidal_current + ) + net_toroidal_current = setdefault( + net_toroidal_current, surface_current_field.I, net_toroidal_current + ) + nfp = surface_current_field.NFP + helicity = setdefault( + helicity, + safediv(net_poloidal_current, net_toroidal_current * nfp, threshold=1e-8), + helicity, + ) + coil_type = "modular" if jnp.isclose(helicity, 0) else "helical" + dz = 2 * np.pi / nfp / npts + if coil_type == "helical": + # helical coils + zeta_full = jnp.linspace( + 0, 2 * jnp.pi / nfp, round(2 * jnp.pi / nfp / dz), endpoint=True + ) + # ensure we have always have points at least from -2pi, 2pi as depending + # on sign of I, the contours from Phi = [0, abs(I)] may have their starting + # points (the theta value at zeta=0) be positive or negative theta values, + # and we want to ensure we catch the start and end of the contours + theta0 = jnp.sign(helicity) * 2 * jnp.pi + theta1 = -jnp.sign(helicity) * (2 * np.pi * int(np.abs(helicity) + 1)) + theta_full = jnp.linspace( + theta0, + theta1, + round(abs(theta1 - theta0) / dz), + endpoint=True, + ) + + theta_full = jnp.sort(theta_full) + else: + # modular coils + theta_full = jnp.linspace(0, 2 * jnp.pi, round(2 * jnp.pi / dz)) + # we start below 0 for zeta to allow for contours which may go in/out of + # the zeta=0 plane + zeta_full = jnp.linspace( + -jnp.pi / nfp, (2 + 1) * jnp.pi / nfp, round(4 * jnp.pi / dz) + ) + + ################################################################ + # find contours of constant phi + ################################################################ + # make linspace contours + if coil_type == "helical": + # helical coils + # we start them on zeta=0 plane, so we will find contours + # going from 0 to I (corresponding to zeta=0, and theta*sign(I) increasing) + contours = jnp.linspace( + 0, jnp.abs(net_toroidal_current), num_coils + 1, endpoint=True + ) + contours = jnp.sort(contours) + else: + # modular coils + # go from zero to G/nfp + # or G/nfp/2 if stell_sym is True + max_curr = ( + jnp.abs(net_poloidal_current) / nfp / 2 + if stell_sym + else jnp.abs(net_poloidal_current) / nfp + ) + # For stell_sym, must pick these carefully + # so that the coilset has coils that are in order + # of ascending phi, otherwise we may get the + # problem that the first coil is over the zeta=0 sym line + # and the last coil is on the zeta=pi/NFP sym line + # use a small offset to avoid this issue + offset = max_curr / num_coils / 2 if stell_sym else 0 + contours = jnp.linspace( + offset, + max_curr + offset, + num_coils + 1, + endpoint=True, + ) * jnp.sign(net_poloidal_current) + contours = jnp.sort(contours) + + theta_full_2D, zeta_full_2D = jnp.meshgrid(theta_full, zeta_full, indexing="ij") + + grid = Grid( + jnp.vstack( + ( + jnp.zeros_like(theta_full_2D.flatten(order="F")), + theta_full_2D.flatten(order="F"), + zeta_full_2D.flatten(order="F"), + ) + ).T, + sort=False, + ) + phi_total_full = surface_current_field.compute("Phi", grid=grid)["Phi"].reshape( + theta_full.size, zeta_full.size, order="F" + ) + + # list of arrays of the zeta and theta coordinates + # of each constant potential contour + contour_zeta = [] + contour_theta = [] + # list of arrays of the current potential contours, + # given as indices in theta,zeta + contours_indices = [] + for contour in contours: + this_contour = skimage.measure.find_contours( + np.asarray(jnp.transpose(phi_total_full)), level=contour + ) + warnif( + len(this_contour) > 1, + UserWarning, + "Detected multiple current potential contours for the same value," + + " indicates there may be unclosed coils or window-pane-like structures" + " for which coil-cutting is not currently supported", + ) + contours_indices.append(this_contour[0]) + # from the indices, calculate the actual zeta and theta values of the contours + contours_theta_zeta_not_uniform = [ + np.array( + [ + np.interp(contour[:, 0], np.arange(zeta_full.size), zeta_full), + np.interp(contour[:, 1], np.arange(theta_full.size), theta_full), + ] + ).T + for contour in contours_indices + ] + # make all the contours the same length by interpolating + # any shorter ones to match the length of the longest + Npts = np.max([c.shape[0] for c in contours_indices]) + s = np.linspace(0, 2 * np.pi, Npts) + contours_theta_zeta = [ + np.array( + [ + np.interp(s, np.linspace(0, 2 * np.pi, c[:, 0].size), c[:, 0]), + np.interp(s, np.linspace(0, 2 * np.pi, c[:, 1].size), c[:, 1]), + ] + ).T + for c in contours_theta_zeta_not_uniform + ] + # reverse so that our coils start at zeta=0, this is just a choice + contours_theta_zeta.reverse() + + numCoils = 0 + # to be used to check closure conditions on the coils + ## closure condition in zeta for modular is returns to same zeta, + ## while for helical is that the contour dzeta = 2pi/NFP + zeta_diff = 2 * jnp.pi / nfp if coil_type == "helical" else 0.0 + ## closure condition in theta for modular is that dtheta = 2pi, + ## while for helical the dtheta = 2pi*abs(helicity) + theta_diff = ( + 2 * jnp.pi * jnp.abs(helicity) if coil_type == "helical" else 2 * jnp.pi + ) + + if show_plots: + plt.figure(figsize=plot_kwargs.pop("figsize", (8, 6))) + plt.contourf( + zeta_full_2D.T, + theta_full_2D.T, + jnp.transpose(phi_total_full), + levels=100, + **plot_kwargs, + ) + plt.xlabel(r"$\zeta$") + plt.ylabel(r"$\theta$") + plt.xlim([np.min(zeta_full), np.max(zeta_full)]) + plt.ylim([np.min(theta_full), np.max(theta_full)]) + + for j in range(num_coils): + contour_zeta.append(contours_theta_zeta[j][:, 0]) + contour_theta.append(contours_theta_zeta[j][:, 1]) + # check if closed and if not throw warning + + if not jnp.isclose( + jnp.abs(contour_zeta[-1][-1] - contour_zeta[-1][0]), zeta_diff, rtol=1e-4 + ) or not jnp.isclose( + jnp.abs(contour_theta[-1][-1] - contour_theta[-1][0]), theta_diff, rtol=1e-4 + ): + warnings.warn( + f"Detected a coil contour (coil index {j}) that may not be " + "closed, this may lead to incorrect coils, " + "check that the surface current potential contours do not contain " + "any local maxima or window-pane-like structures," + " and that the current potential contours do not go across " + "The edges of the zeta extent used for the plotting:" + "the zeta=0 or zeta=2pi/NFP planes for helical coils or the" + " zeta=-pi/NFP and zeta=2pi+pi/NFP planes, for modular coils. " + "Use `show_plots=True` to visualize the contours.", + UserWarning, + ) + print(f"zeta diff = {jnp.abs(contour_zeta[-1][-1] - contour_zeta[-1][0])}") + print(f"expected zeta diff = {zeta_diff}") + print( + f"theta diff = {jnp.abs(contour_theta[-1][-1] - contour_theta[-1][0])}" + ) + print(f"expected theta diff = {theta_diff}") + + numCoils += 1 + if show_plots: + plt.plot(contour_zeta[-1], contour_theta[-1], "-r", linewidth=1) + if j > 0: + plt.plot(contour_zeta[-1][-1], contour_theta[-1][-1], "sk") + else: + plt.plot( + contour_zeta[-1][-1], + contour_theta[-1][-1], + "sk", + label="start of contour", + ) + if coil_type == "helical": + # right now these are only over 1 FP + # so must tile them s.t. they are full coils, by repeating them + # with a 2pi/NFP shift in zeta + # and a -2pi*helicity shift in theta + # we could alternatively wait until we are in real space and then + # rotate the coils there, but this also works + for i_contour in range(num_coils): + # check if the contour is arranged with zeta=0 at the start + # or at the end, easiest to do this tiling if we assume + # the first index is at zeta=0 + zeta_starts_at_zero = ( + contour_zeta[i_contour][-1] > contour_zeta[i_contour][0] + ) + orig_theta = contour_theta[i_contour] + orig_zeta = contour_zeta[i_contour] + if not zeta_starts_at_zero: + # flip so that the contour starts at zeta=0 + orig_theta = jnp.flip(orig_theta) + orig_zeta = jnp.flip(orig_zeta) + orig_endpoint_theta = orig_theta[-1] + + # dont need last points here since we will shift the whole + # curve over, and we know the last point must be + # (zeta0+2pi/NFP, theta0+2pi*abs(helicity)), + # so easiest to just not include them initially and shift whole curve + orig_theta = jnp.atleast_1d(orig_theta[:-1]) + orig_zeta = jnp.atleast_1d(orig_zeta[:-1]) + + contour_theta[i_contour] = jnp.atleast_1d(orig_theta) + contour_zeta[i_contour] = jnp.atleast_1d(orig_zeta) + + theta_shift = -2 * np.pi * helicity + + zeta_shift = 2 * jnp.pi / nfp - orig_zeta[0] + + for i in range(1, nfp): + contour_theta[i_contour] = jnp.concatenate( + [contour_theta[i_contour], orig_theta + theta_shift * i] + ) + contour_zeta[i_contour] = jnp.concatenate( + [contour_zeta[i_contour], orig_zeta + zeta_shift * i] + ) + contour_theta[i_contour] = jnp.append( + contour_theta[i_contour], + nfp * (orig_endpoint_theta - contour_theta[i_contour][0]) + + contour_theta[i_contour][0], + ) + contour_zeta[i_contour] = jnp.append(contour_zeta[i_contour], 2 * jnp.pi) + if show_plots: + plt.legend() + + return contour_theta, contour_zeta + + +def _find_XYZ_points( + theta_pts, + zeta_pts, + surface, +): + contour_X = [] + contour_Y = [] + contour_Z = [] + + for thetas, zetas in zip(theta_pts, zeta_pts): + coords = surface.compute( + "x", + grid=Grid( + jnp.vstack((jnp.zeros_like(thetas), thetas, zetas)).T, + sort=False, + ), + basis="xyz", + )["x"] + contour_X.append(coords[:, 0]) + contour_Y.append(coords[:, 1]) + contour_Z.append(coords[:, 2]) + + return contour_X, contour_Y, contour_Z + + +def _G_from_external_field(external_field, eq, external_field_grid): + # calculate the portion of G provided by external field + # by integrating external toroidal field along a curve of constant theta + try: + G_ext = external_field.G + except AttributeError: + curve_grid = LinearGrid( + N=int(eq.NFP) * 50, + theta=jnp.array(jnp.pi), # does not matter which theta we choose + rho=jnp.array(1.0), + endpoint=True, + ) + with warnings.catch_warnings(): + warnings.simplefilter("ignore", UserWarning) + # ignore warning from unequal NFP for grid and basis, + # as we don't know a-priori if the external field + # shares the same discrete symmetry as the equilibrium, + # so we will use a grid with NFP=1 to be safe + curve_data = eq.compute( + ["R", "phi", "Z", "e_zeta"], + grid=curve_grid, + ) + curve_coords = jnp.vstack( + (curve_data["R"], curve_data["phi"], curve_data["Z"]) + ).T + ext_field_along_curve = external_field.compute_magnetic_field( + curve_coords, basis="rpz", source_grid=external_field_grid + ) + # calculate covariant B_zeta = B dot e_zeta from external field + ext_field_B_zeta = dot(ext_field_along_curve, curve_data["e_zeta"], axis=-1) + + # negative sign here because with REGCOIL convention, negative G makes + # positive toroidal B + G_ext = -jnp.sum(ext_field_B_zeta) * 2 * jnp.pi / curve_grid.num_nodes / mu_0 + return G_ext diff --git a/desc/objectives/__init__.py b/desc/objectives/__init__.py index 81e50c632..c7d42d199 100644 --- a/desc/objectives/__init__.py +++ b/desc/objectives/__init__.py @@ -11,6 +11,7 @@ CoilTorsion, PlasmaCoilSetMinDistance, QuadraticFlux, + SurfaceCurrentRegularization, ToroidalFlux, ) from ._equilibrium import ( diff --git a/desc/objectives/_coils.py b/desc/objectives/_coils.py index 4dc6569ec..c35ceed81 100644 --- a/desc/objectives/_coils.py +++ b/desc/objectives/_coils.py @@ -1,4 +1,5 @@ import numbers +import warnings import numpy as np @@ -1263,7 +1264,7 @@ def compute(self, field_params, constants=None): params=field_params, ) B_ext = jnp.sum(B_ext * eval_data["n_rho"], axis=-1) - f = (B_ext + B_plasma) * eval_data["|e_theta x e_zeta|"] + f = (B_ext + B_plasma) * jnp.sqrt(eval_data["|e_theta x e_zeta|"]) return f @@ -1599,3 +1600,210 @@ def compute(self, params, constants=None): ) return jnp.abs(link).sum(axis=0) + + +class SurfaceCurrentRegularization(_Objective): + """Target the surface current magnitude. + + compute:: + + w * ||K|| * sqrt(||e_theta x e_zeta||) + + where K is the winding surface current density, w is the + regularization parameter (the weight on this objective), + and ||e_theta x e_zeta|| is the magnitude of the surface normal i.e. the + surface jacobian ||e_theta x e_zeta|| + + This is intended to be used with a surface current:: + + K = n x ∇ Φ + + i.e. a CurrentPotentialField + + Intended to be used with a QuadraticFlux objective, to form + a problem similar to the REGCOIL algorithm described in [1]_ (if used with a + ``FourierCurrentPotentialField``, is equivalent to the ``simple`` + regularization of the ``solve_regularized_surface_current`` method). + + References + ---------- + .. [1] Landreman, Matt. "An improved current potential method for fast computation + of stellarator coil shapes." Nuclear Fusion (2017). + + Parameters + ---------- + surface_current_field : CurrentPotentialField + Surface current which is producing the magnetic field, the parameters + of this will be optimized to minimize the objective. + source_grid : Grid, optional + Collocation grid containing the nodes to evaluate current source at on + the winding surface. If used in conjunction with the QuadraticFlux objective, + with its ``field_grid`` matching this ``source_grid``, this replicates the + REGCOIL algorithm described in [1]_ . + + """ + + weight_str = ( + "weight : {float, ndarray}, optional" + "\n\tWeighting to apply to the Objective, relative to other Objectives." + "\n\tMust be broadcastable to to Objective.dim_f" + "\n\tWhen used with QuadraticFlux objective, this acts as the regularization" + "\n\tparameter (with w^2 = lambda), with 0 corresponding to no regularization." + "\n\tThe larger this parameter is, the less complex the surface current will " + "be,\n\tbut the worse the normal field." + ) + __doc__ = __doc__.rstrip() + collect_docs( + target_default="``target=0``.", + bounds_default="``target=0``.", + overwrite={"weight": weight_str}, + ) + + _coordinates = "tz" + _units = "A/m" + _print_value_fmt = "Surface Current Regularization: " + + def __init__( + self, + surface_current_field, + target=None, + bounds=None, + weight=1, + normalize=True, + normalize_target=True, + loss_function=None, + deriv_mode="auto", + source_grid=None, + name="surface-current-regularization", + ): + from desc.magnetic_fields import ( + CurrentPotentialField, + FourierCurrentPotentialField, + ) + + if target is None and bounds is None: + target = 0 + assert isinstance( + surface_current_field, (CurrentPotentialField, FourierCurrentPotentialField) + ), ( + "surface_current_field must be a CurrentPotentialField or " + + f"FourierCurrentPotentialField, instead got {type(surface_current_field)}" + ) + self._surface_current_field = surface_current_field + self._source_grid = source_grid + + super().__init__( + things=[surface_current_field], + target=target, + bounds=bounds, + weight=weight, + normalize=normalize, + normalize_target=normalize_target, + loss_function=loss_function, + deriv_mode=deriv_mode, + name=name, + ) + + def build(self, use_jit=True, verbose=1): + """Build constant arrays. + + Parameters + ---------- + use_jit : bool, optional + Whether to just-in-time compile the objective and derivatives. + verbose : int, optional + Level of output. + + """ + from desc.magnetic_fields import FourierCurrentPotentialField + + surface_current_field = self.things[0] + if isinstance(surface_current_field, FourierCurrentPotentialField): + M_Phi = surface_current_field._M_Phi + N_Phi = surface_current_field._N_Phi + else: + M_Phi = surface_current_field.M + N_Phi = surface_current_field.N + + if self._source_grid is None: + source_grid = LinearGrid( + M=3 * M_Phi + 1, + N=3 * N_Phi + 1, + NFP=surface_current_field.NFP, + ) + else: + source_grid = self._source_grid + + if not np.allclose(source_grid.nodes[:, 0], 1): + warnings.warn("Source grid includes off-surface pts, should be rho=1") + + # source_grid.num_nodes for the regularization cost + self._dim_f = source_grid.num_nodes + self._surface_data_keys = ["K", "|e_theta x e_zeta|"] + + timer = Timer() + if verbose > 0: + print("Precomputing transforms") + timer.start("Precomputing transforms") + + surface_transforms = get_transforms( + self._surface_data_keys, + obj=surface_current_field, + grid=source_grid, + has_axis=source_grid.axis.size, + ) + if self._normalize: + if isinstance(surface_current_field, FourierCurrentPotentialField): + self._normalization = np.max( + [abs(surface_current_field.I) + abs(surface_current_field.G), 1] + ) + else: # it does not have I,G bc is CurrentPotentialField + Phi = surface_current_field.compute("Phi", grid=source_grid)["Phi"] + self._normalization = np.max( + [ + np.mean(np.abs(Phi)), + 1, + ] + ) + + self._constants = { + "surface_transforms": surface_transforms, + "quad_weights": source_grid.weights * jnp.sqrt(source_grid.num_nodes), + } + + timer.stop("Precomputing transforms") + if verbose > 1: + timer.disp("Precomputing transforms") + + super().build(use_jit=use_jit, verbose=verbose) + + def compute(self, surface_params=None, constants=None): + """Compute surface current regularization. + + Parameters + ---------- + surface_params : dict + Dictionary of surface degrees of freedom, + eg FourierCurrentPotential.params_dict + constants : dict + Dictionary of constant data, eg transforms, profiles etc. Defaults to + self.constants + + Returns + ------- + f : ndarray + The surface current density magnitude on the source surface. + + """ + if constants is None: + constants = self.constants + + surface_data = compute_fun( + self._surface_current_field, + self._surface_data_keys, + params=surface_params, + transforms=constants["surface_transforms"], + profiles={}, + ) + + K_mag = safenorm(surface_data["K"], axis=-1) + return K_mag * jnp.sqrt(surface_data["|e_theta x e_zeta|"]) diff --git a/desc/plotting.py b/desc/plotting.py index e29c8199f..6a59bc034 100644 --- a/desc/plotting.py +++ b/desc/plotting.py @@ -606,6 +606,8 @@ def plot_2d( the surface, must be provided if Bn is entered as the variable to plot. * ``field_grid``: MagneticField, a Grid to pass to the field as a source grid from which to calculate Bn, by default None. + * ``filled`` : bool, whether to fill contours or not i.e. whether to use + `contourf` or `contour` Returns ------- @@ -721,6 +723,7 @@ def plot_2d( title_fontsize = kwargs.pop("title_fontsize", None) xlabel_fontsize = kwargs.pop("xlabel_fontsize", None) ylabel_fontsize = kwargs.pop("ylabel_fontsize", None) + filled = kwargs.pop("filled", True) assert len(kwargs) == 0, f"plot_2d got unexpected keyword argument: {kwargs.keys()}" cax_kwargs = {"size": "5%", "pad": 0.05} @@ -735,8 +738,10 @@ def plot_2d( .reshape((grid.num_theta, grid.num_rho, grid.num_zeta), order="F") .squeeze() ) - - im = ax.contourf(xx, yy, data, **contourf_kwargs) + if not filled: + im = ax.contour(xx, yy, data, **contourf_kwargs) + else: + im = ax.contourf(xx, yy, data, **contourf_kwargs) cax = divider.append_axes("right", **cax_kwargs) cbar = fig.colorbar(im, cax=cax) cbar.update_ticks() @@ -917,7 +922,11 @@ def plot_3d( title = kwargs.pop("title", "") levels = kwargs.pop("levels", None) component = kwargs.pop("component", None) + showgrid = kwargs.pop("showgrid", True) + zeroline = kwargs.pop("zeroline", True) showscale = kwargs.pop("showscale", True) + showticklabels = kwargs.pop("showticklabels", True) + showaxislabels = kwargs.pop("showaxislabels", True) if name != "B*n": data, label = _compute( @@ -965,10 +974,7 @@ def plot_3d( data = data.reshape((grid.num_theta, grid.num_rho, grid.num_zeta), order="F") label = r"$\mathbf{B} \cdot \hat{n} ~(\mathrm{T})$" - showgrid = kwargs.pop("showgrid", True) - zeroline = kwargs.pop("zeroline", True) - showticklabels = kwargs.pop("showticklabels", True) - showaxislabels = kwargs.pop("showaxislabels", True) + errorif( len(kwargs) != 0, ValueError, diff --git a/devtools/dev-requirements_conda.yml b/devtools/dev-requirements_conda.yml index aa9ce95de..855e43aed 100644 --- a/devtools/dev-requirements_conda.yml +++ b/devtools/dev-requirements_conda.yml @@ -22,6 +22,7 @@ dependencies: - orthax - plotly >= 5.16, < 6.0 - pylatexenc >= 2.0, < 3.0 + - scikit-image # building the docs - sphinx-github-style >= 1.0, < 2.0 # testing and benchmarking diff --git a/docs/api.rst b/docs/api.rst index feb85514e..ca3484b5d 100644 --- a/docs/api.rst +++ b/docs/api.rst @@ -147,6 +147,7 @@ Magnetic Fields desc.magnetic_fields.VerticalMagneticField desc.magnetic_fields.field_line_integrate desc.magnetic_fields.read_BNORM_file + desc.magnetic_fields.solve_regularized_surface_current Objective Functions ******************* diff --git a/docs/api_fields.rst b/docs/api_fields.rst index 32b5cc572..62812a04c 100644 --- a/docs/api_fields.rst +++ b/docs/api_fields.rst @@ -41,6 +41,18 @@ There are also classes for representing a current potential on a winding surface desc.magnetic_fields.CurrentPotentialField desc.magnetic_fields.FourierCurrentPotentialField +``desc.magnetic_fields`` also has a function which can solve a regularized least-squares problem +in order to find the optimal surface current distribution which minimizes the normal field on a +given plasma boundary, ``desc.magnetic_fields.solve_regularized_surface_current``, which can +be used in a similar way as the REGCOIL code: + +.. autosummary:: + :toctree: _api/magnetic_fields + :recursive: + :template: class.rst + + desc.magnetic_fields.solve_regularized_surface_current + There is also a class for representing omnigenous magnetic fields: .. autosummary:: @@ -71,7 +83,6 @@ the BNORM code: desc.magnetic_fields.read_BNORM_file - Coils ***** ``Coil`` objects in ``desc.coils`` are themselves subclasses of ``MagneticField``, allowing diff --git a/docs/api_objectives.rst b/docs/api_objectives.rst index 9df305dc3..c65aafcfb 100644 --- a/docs/api_objectives.rst +++ b/docs/api_objectives.rst @@ -106,6 +106,7 @@ Coil Optimization desc.objectives.CoilCurrentLength desc.objectives.CoilArclengthVariance desc.objectives.ToroidalFlux + desc.objectives.SurfaceCurrentRegularization Profiles diff --git a/docs/index.rst b/docs/index.rst index 7b73ed072..496b70269 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -28,6 +28,7 @@ notebooks/tutorials/use_outputs.ipynb notebooks/tutorials/basic_optimization.ipynb notebooks/tutorials/advanced_optimization.ipynb + notebooks/tutorials/coil_optimization_REGCOIL.ipynb notebooks/tutorials/omnigenity.ipynb notebooks/tutorials/nae_constraint.ipynb notebooks/tutorials/bootstrap_current.ipynb diff --git a/docs/notebooks/tutorials/coil_optimization_REGCOIL.ipynb b/docs/notebooks/tutorials/coil_optimization_REGCOIL.ipynb new file mode 100644 index 000000000..e3846d1a0 --- /dev/null +++ b/docs/notebooks/tutorials/coil_optimization_REGCOIL.ipynb @@ -0,0 +1,198750 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "ba9e495d-e4df-48f2-b7f3-aa3340b0dc15", + "metadata": {}, + "source": [ + "# REGCOIL-Like Coil Optimization in DESC" + ] + }, + { + "cell_type": "markdown", + "id": "52cb34b9-aa49-478d-aa2c-f88e87ed7130", + "metadata": {}, + "source": [ + "This notebook will show how to use DESC's REGCOIL implementation to find coils using the surface current optimization method, based off of [1]. We will find a coilset for the precise QA equilibrium by first finding a constant offset winding surface, then running the REGCOIL algorithm in two different ways to obtain the surface current which minimizes the quadratic flux on the plasma surface, and finally cutting that surface current into coils and checking the normal field error and field line tracing from that coilset to confirm the equilibrium surfaces are retained with the real coil field." + ] + }, + { + "cell_type": "markdown", + "id": "20adf610-23ba-4500-a669-65ce85927af1", + "metadata": {}, + "source": [ + "## REGCOIL Algorithm" + ] + }, + { + "cell_type": "markdown", + "id": "d4d853dd-4568-4bb7-9173-ec16de7862ec", + "metadata": {}, + "source": [ + "The REGCOIL algorithm solves the following minimization problem\n", + "\n", + "Follows algorithm of [1]_ to find the current potential Phi on the surface, given a surface current $\\mathbf{K}$ from a surface current potential $\\Phi$ on a winding surface:\n", + "$$\\mathbf{K} =\\mathbf{n} \\times \\nabla \\Phi $$\n", + "$$\\Phi(\\theta',\\zeta') = \\Phi_{sv}(\\theta',\\zeta') + \\frac{G\\zeta'}{2\\pi} + \\frac{I\\theta'}{2\\pi}$$\n", + "where the single valued part is given as a double Fourier series in the poloidal and toroidal angles:\n", + "\n", + "$$\\Phi_{SV}(\\theta,\\zeta) = \\sum_{m,n} \\Phi_{SV}^{mn} \\mathcal{G}^{m}_{n}(\\theta,\\zeta)$$\n", + "\n", + "where\n", + "\n", + "$$\n", + " \\mathcal{G}^{m}_{n}(\\theta,\\zeta) = \\begin{cases}\n", + " \\cos(|m|\\theta)\\cos(|n|N_{FP}\\zeta) &\\text{for }m\\ge0, n\\ge0 \\\\[.2cm]\n", + " \\cos(|m|\\theta)\\sin(|n|N_{FP}\\zeta) &\\text{for }m\\ge0, n<0 \\\\[.2cm]\n", + " \\sin(|m|\\theta)\\cos(|n|N_{FP}\\zeta) &\\text{for }m<0, n\\ge0 \\\\[.2cm]\n", + " \\sin(|m|\\theta)\\sin(|n|N_{FP}\\zeta) &\\text{for }m<0, n<0.\n", + " \\end{cases}\n", + "$$\n", + "\n", + "\n", + "The algorithm minimizes the quadratic flux on the plasma surface due to the\n", + "surface current and external fields:\n", + "\n", + "$$\\min_{\\Phi_{SV}^{mn}} ~\\chi^2_B + \\lambda_{regularization} \\chi^2_K$$\n", + "\n", + "where $\\mathbf{B}\\cdot\\mathbf{n} = B_n$ and $\\mathbf{n}$ is the unit surface normal on the plasma surface $S_{plasma}$, while \n", + "\n", + "$$\\chi^2_B = \\int_{S_{plasma}} (B_n)^2 dA$$\n", + "\n", + "is the quadratic flux on the plasma boundary from the total magnetic field:\n", + "\n", + "$$B_n = B_n^{SV}\\{\\Phi_{SV}\\} + B_n^{GI} +B_n^{plasma} + B_n^{ext}$$\n", + "\n", + "where the individual contributions to the normal field are the field from the single-valued surface current potential $B_n^{SV}$, the field from the secular part of the surface current potential $B_n^{GI}$, the field from the plasma currents $B_n^{plasma}$ and then any external fields $B_n^{ext}$ (e.g. a TF coilset or other coilset besides the winding surface). $G$ is fixed by the equilibrium magnetic field strength, and $I$ is determined by the desired coil topology (given by the `current_helicity` tuple in the `run_regcoil` method below), with `current_helicity = (M_coil, N_coil)`. If `M_coil` is nonzero and `N_coil` is zero, it corresponds to modular coils, and non-zero `M_coil` and `N_coil` corresponds to helical coils, according to the formula $I = \\frac{N_{coil}*G}{ M_{coil}}$. `M_coil` is the number of times the coil transits poloidally around the plasma before returning to itself, while `N_coil` is the number of times the coil transits toroidally before returning to itself. The problem is regularized by the addition of a regularization parameter $\\lambda_{regularization}$ multiplying the surface current magnitude integrated over the winding surface $S_{winding}$:\n", + "\n", + "$$\\chi^2_K = \\int_{S_{winding}} |\\mathbf{K}|^2 dA'$$\n", + "\n", + "Smaller $\\lambda_{regularization}$ corresponds to no regularization (consequently, lower $B_n$ error but more complex and large surface currents) and larger $\\lambda_{regularization}$ corresponds to more regularization (consequently, higher $B_n$ error but simpler and smaller surface currents), which we will show shortly in this notebook.\n", + "\n", + "[1] Landreman, An improved current potential method for fast computation of stellarator coil shapes, Nuclear Fusion (2017)" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "90560dc3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "DESC version 0.12.3+813.g476979f4a,using JAX backend, jax version=0.4.31, jaxlib version=0.4.30, dtype=float64\n", + "Using device: CPU, with 3.29 GB available memory\n" + ] + } + ], + "source": [ + "# imports\n", + "from desc import set_device\n", + "\n", + "# set_device(\"gpu\")\n", + "# uncomment above line if you are running on a GPU for a big speedup!\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "from desc.equilibrium import Equilibrium\n", + "from desc.geometry import FourierRZToroidalSurface\n", + "from desc.grid import LinearGrid\n", + "from desc.io import load\n", + "from desc.objectives import (\n", + " FixParameters,\n", + " ObjectiveFunction,\n", + " QuadraticFlux,\n", + " SurfaceCurrentRegularization,\n", + ")\n", + "from desc.optimize import Optimizer\n", + "from scipy.constants import mu_0\n", + "from desc.magnetic_fields import (\n", + " FourierCurrentPotentialField,\n", + " solve_regularized_surface_current,\n", + ")\n", + "\n", + "from desc.examples import get\n", + "from desc.plotting import (\n", + " plot_comparison,\n", + " plot_surfaces,\n", + " plot_3d,\n", + " plot_coils,\n", + " plot_2d,\n", + " poincare_plot,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "c697d6ac", + "metadata": {}, + "outputs": [], + "source": [ + "# define utility function\n", + "def plot_field_lines(field, eq):\n", + " # for starting locations we'll pick positions on flux surfaces on the outboard midplane\n", + " grid_trace = LinearGrid(rho=np.linspace(0, 1, 9))\n", + " r0 = eq.compute(\"R\", grid=grid_trace)[\"R\"]\n", + " z0 = eq.compute(\"Z\", grid=grid_trace)[\"Z\"]\n", + " fig, ax = plot_surfaces(eq)\n", + " fig, ax = poincare_plot(\n", + " field,\n", + " r0,\n", + " z0,\n", + " NFP=eq.NFP,\n", + " ax=ax,\n", + " color=\"k\",\n", + " size=1,\n", + " )\n", + " return fig, ax\n", + "\n", + "\n", + "# plotting utility functions\n", + "def plot_regcoil_outputs(\n", + " field,\n", + " data,\n", + " eq,\n", + " eval_grid=None,\n", + " source_grid=None,\n", + " return_data=False,\n", + " vacuum=False,\n", + " **kwargs,\n", + "):\n", + " try:\n", + " # if it is a list, just grab the first one\n", + " # as we change the attribute anyways so just need the correct\n", + " # geometry\n", + " field = field[0]\n", + " except TypeError:\n", + " # it was not a list, so proceed as usual\n", + " pass\n", + " cmap = kwargs.pop(\"cmap\", \"viridis\")\n", + " field = (\n", + " field.copy()\n", + " ) # copy the field so that we are not changing the passed-in field\n", + " # TODO: check that field has correct NFP and resolutions?\n", + " scan = len(data[\"Phi_mn\"]) > 1\n", + " scan_str = \"_scan\" if scan else \"\"\n", + "\n", + " lambdas = data[\"lambda_regularization\"]\n", + " chi2Bs = data[\"chi^2_B\"]\n", + " chi2Ks = data[\"chi^2_K\"]\n", + " phi_mns = data[\"Phi_mn\"]\n", + " if eval_grid is None:\n", + " eval_grid = data[\"eval_grid\"]\n", + " eval_grid = (\n", + " eval_grid\n", + " if (not eval_grid.sym and eval_grid.N != 0)\n", + " else LinearGrid(\n", + " M=eval_grid.M,\n", + " N=max(eval_grid.N, 1),\n", + " sym=False,\n", + " NFP=eval_grid.NFP,\n", + " endpoint=True,\n", + " )\n", + " )\n", + " if source_grid is None:\n", + " source_grid = data[\"source_grid\"]\n", + "\n", + " # check if we can use existing quantities in data\n", + " # or re-evaluate based off of the new grids passed-in\n", + " recalc_eval_grid_quantites = not eval_grid.equiv(\n", + " data[\"eval_grid\"]\n", + " ) or not source_grid.equiv(data[\"source_grid\"])\n", + "\n", + " if \"external_field\" in data.keys() and recalc_eval_grid_quantites:\n", + " external_field = data[\"external_field\"]\n", + " else:\n", + " external_field = None\n", + "\n", + " ncontours = kwargs.pop(\"ncontours\", 15)\n", + " markersize = kwargs.pop(\"markersize\", None)\n", + " xlabel_fontsize = kwargs.pop(\"xlabel_fontsize\", None)\n", + " ylabel_fontsize = kwargs.pop(\"ylabel_fontsize\", None)\n", + " title_fontsize = kwargs.pop(\"title_fontsize\", None)\n", + "\n", + " figdata = {}\n", + " axdata = {}\n", + " # show composite scan over lambda_regularization plots\n", + " # strongly based off of Landreman's REGCOIL plotting routine:\n", + " # github.com/landreman/regcoil/blob/master/\n", + " figsize = kwargs.pop(\"figsize\", (6, 4))\n", + " figsize2 = (2 * figsize[0], 2 * figsize[1])\n", + " if scan: # this plot only makes sense for a scan\n", + " fig_chiB_lam, ax_chiB_lam = plt.subplots(figsize=figsize)\n", + " ax_chiB_lam.tick_params(axis=\"both\", which=\"major\", labelsize=ylabel_fontsize)\n", + " ax_chiB_lam.tick_params(axis=\"both\", which=\"minor\", labelsize=ylabel_fontsize)\n", + " ax_chiB_lam.scatter(lambdas, chi2Bs, s=markersize)\n", + " ax_chiB_lam.set_xlabel(\n", + " r\"$\\lambda$ (regularization parameter)\", fontsize=xlabel_fontsize\n", + " )\n", + " ax_chiB_lam.set_ylabel(\n", + " r\"$\\chi^2_B = \\int \\int B_{normal}^2 dA$ \", fontsize=ylabel_fontsize\n", + " )\n", + " ax_chiB_lam.set_yscale(\"log\")\n", + " ax_chiB_lam.set_xscale(\"log\")\n", + " figdata[\"fig_chi^2_B_vs_lambda_regularization\"] = fig_chiB_lam\n", + " axdata[\"ax_chi^2_B_vs_lambda_regularization\"] = ax_chiB_lam\n", + " fig_chiK_lam, ax_chiK_lam = plt.subplots(figsize=figsize)\n", + " ax_chiK_lam.tick_params(axis=\"both\", which=\"major\", labelsize=ylabel_fontsize)\n", + " ax_chiK_lam.tick_params(axis=\"both\", which=\"minor\", labelsize=ylabel_fontsize)\n", + " ax_chiK_lam.scatter(lambdas, chi2Ks, s=markersize)\n", + " ax_chiK_lam.set_ylabel(\n", + " r\"$\\chi^2_K = \\int \\int K^2 dA'$ \", fontsize=ylabel_fontsize\n", + " )\n", + " ax_chiK_lam.set_xlabel(\n", + " r\"$\\lambda$ (regularization parameter)\", fontsize=xlabel_fontsize\n", + " )\n", + " ax_chiK_lam.set_yscale(\"log\")\n", + " ax_chiK_lam.set_xscale(\"log\")\n", + " figdata[\"fig_chi^2_K_vs_lambda_regularization\"] = fig_chiK_lam\n", + " axdata[\"ax_chi^2_K_vs_lambda_regularization\"] = ax_chiK_lam\n", + "\n", + " fig_chiB_chiK, ax_chiB_chiK = plt.subplots(figsize=figsize)\n", + " ax_chiB_chiK.tick_params(axis=\"both\", which=\"major\", labelsize=ylabel_fontsize)\n", + " ax_chiB_chiK.tick_params(axis=\"both\", which=\"minor\", labelsize=ylabel_fontsize)\n", + " ax_chiB_chiK.scatter(chi2Ks, chi2Bs, s=markersize)\n", + " ax_chiB_chiK.set_xlabel(\n", + " r\"$\\chi^2_K = \\int \\int K^2 dA'$ \", fontsize=xlabel_fontsize\n", + " )\n", + " ax_chiB_chiK.set_ylabel(\n", + " r\"$\\chi^2_B = \\int \\int B_{normal}^2 dA$ \", fontsize=ylabel_fontsize\n", + " )\n", + " ax_chiB_chiK.set_yscale(\"log\")\n", + " ax_chiB_chiK.set_xscale(\"log\")\n", + " figdata[\"fig_chi^2_B_vs_chi^2_K\"] = fig_chiB_chiK\n", + " axdata[\"ax_chi^2_B_vs_chi^2_K\"] = ax_chiB_chiK\n", + "\n", + " nlam = len(chi2Bs)\n", + " max_nlam_for_contour_plots = 16\n", + " numPlots = min(nlam, max_nlam_for_contour_plots)\n", + " ilam_to_plot = np.sort(list(set(map(int, np.linspace(1, nlam, numPlots)))))\n", + " numPlots = len(ilam_to_plot)\n", + "\n", + " numCols = int(np.ceil(np.sqrt(numPlots)))\n", + " numRows = int(np.ceil(numPlots * 1.0 / numCols))\n", + "\n", + " ########################################################\n", + " # Plot total current potentials\n", + " ########################################################\n", + " fig_Phi, ax_Phi = plt.subplots(nrows=numRows, ncols=numCols, figsize=figsize2)\n", + " whichPlot = 0\n", + " for row in range(numRows):\n", + " for col in range(numCols):\n", + " ax = ax_Phi if not scan else ax_Phi[row, col]\n", + " phi_mn_opt = phi_mns[ilam_to_plot[whichPlot] - 1]\n", + " field.Phi_mn = phi_mn_opt\n", + " field.I = data[\"I\"]\n", + " field.G = data[\"G\"]\n", + " _, ax = plot_2d(\n", + " field,\n", + " \"Phi\",\n", + " grid=source_grid,\n", + " ax=ax,\n", + " cmap=cmap,\n", + " filled=False,\n", + " levels=ncontours,\n", + " title_fontsize=title_fontsize,\n", + " xlabel_fontsize=xlabel_fontsize,\n", + " ylabel_fontsize=ylabel_fontsize,\n", + " )\n", + "\n", + " ax.set_title(\n", + " r\"$\\lambda =$\"\n", + " + f\" {lambdas[ilam_to_plot[whichPlot] - 1]:1.5e}\"\n", + " + f\" index = {ilam_to_plot[whichPlot]-1}\",\n", + " # fontsize=\"small\",\n", + " )\n", + " whichPlot += 1\n", + " fig_Phi.tight_layout()\n", + " fig_Phi.subplots_adjust(top=0.92)\n", + "\n", + " fig_Phi.suptitle(\n", + " r\"Total Current Potential $\\Phi$ (A)\",\n", + " fontsize=title_fontsize,\n", + " )\n", + " figdata[\"fig\" + scan_str + \"_Phi\"] = fig_Phi\n", + " axdata[\"ax\" + scan_str + \"_Phi\"] = ax_Phi\n", + "\n", + " ########################################################\n", + " # Plot Bn\n", + " ########################################################\n", + " fig_Bn, ax_Bn = plt.subplots(nrows=numRows, ncols=numCols, figsize=figsize2)\n", + " whichPlot = 0\n", + " for row in range(numRows):\n", + " for col in range(numCols):\n", + " ax = ax_Bn if not scan else ax_Bn[row, col]\n", + " phi_mn_opt = phi_mns[ilam_to_plot[whichPlot] - 1]\n", + " field.Phi_mn = phi_mn_opt\n", + " field.I = data[\"I\"]\n", + " field.G = data[\"G\"]\n", + " _, ax = plot_2d(\n", + " eq if not vacuum else eq.surface,\n", + " \"B*n\",\n", + " field=(field if external_field is None else field + external_field),\n", + " grid=eval_grid,\n", + " field_grid=source_grid,\n", + " ax=ax,\n", + " cmap=cmap,\n", + " levels=ncontours,\n", + " title_fontsize=title_fontsize,\n", + " xlabel_fontsize=xlabel_fontsize,\n", + " ylabel_fontsize=ylabel_fontsize,\n", + " )\n", + "\n", + " ax.set_title(\n", + " r\"$\\lambda =$\"\n", + " + f\" {lambdas[ilam_to_plot[whichPlot] - 1]:1.5e}\"\n", + " + f\" index = {ilam_to_plot[whichPlot] - 1}\",\n", + " # fontsize=\"small\",\n", + " )\n", + " whichPlot += 1\n", + " fig_Bn.tight_layout()\n", + " fig_Bn.subplots_adjust(top=0.92)\n", + " fig_Bn.suptitle(\n", + " r\"$B_n$ (T)\",\n", + " fontsize=title_fontsize,\n", + " )\n", + " figdata[\"fig\" + scan_str + \"_Bn\"] = fig_Bn\n", + " axdata[\"ax\" + scan_str + \"_Bn\"] = ax_Bn\n", + " ########################################################\n", + " # Plot Surface Current |K|\n", + " ########################################################\n", + " fig_K, ax_K = plt.subplots(nrows=numRows, ncols=numCols, figsize=figsize2)\n", + " whichPlot = 0\n", + " for row in range(numRows):\n", + " for col in range(numCols):\n", + " ax = ax_K if not scan else ax_K[row, col]\n", + " phi_mn_opt = phi_mns[ilam_to_plot[whichPlot] - 1]\n", + " field.Phi_mn = phi_mn_opt\n", + " field.I = data[\"I\"]\n", + " field.G = data[\"G\"]\n", + " _, ax = plot_2d(\n", + " field,\n", + " \"K\",\n", + " grid=source_grid,\n", + " ax=ax,\n", + " cmap=cmap,\n", + " levels=ncontours,\n", + " title_fontsize=title_fontsize,\n", + " xlabel_fontsize=xlabel_fontsize,\n", + " ylabel_fontsize=ylabel_fontsize,\n", + " )\n", + "\n", + " ax.set_title(\n", + " r\"$\\lambda =$\"\n", + " + f\" {lambdas[ilam_to_plot[whichPlot] - 1]:1.5e}\"\n", + " + f\" index = {ilam_to_plot[whichPlot] - 1}\",\n", + " # fontsize=\"small\",\n", + " )\n", + " whichPlot += 1\n", + " fig_K.tight_layout()\n", + " fig_K.subplots_adjust(top=0.92)\n", + " fig_K.suptitle(\n", + " r\"$|K|$ (A/m)\",\n", + " fontsize=title_fontsize,\n", + " )\n", + " figdata[\"fig\" + scan_str + \"_K\"] = fig_K\n", + " axdata[\"ax\" + scan_str + \"_K\"] = ax_K\n", + " if return_data:\n", + " return (\n", + " figdata,\n", + " axdata,\n", + " data,\n", + " )\n", + " else:\n", + " return figdata, axdata" + ] + }, + { + "cell_type": "markdown", + "id": "919cac02-c316-4443-87b4-8466a451c58a", + "metadata": {}, + "source": [ + "## Create Constant Offset Surface" + ] + }, + { + "cell_type": "markdown", + "id": "278f584f-82d9-4291-9a26-da4035601738", + "metadata": {}, + "source": [ + "We will use the algorithm outlined in the appendix of [1] to create a surface offset from the precise QA equilibrium surface by a constant distance of 0.25 meters. In DESC this is implemented as the `constant_offset_surface` method of `FourierRZToroidalSurface`, which will create a constant offset surface from the surface object it is called with by fitting a surface to points offset along the unit surface normal evaluated at a given grid on the base surface. We can thus use `eq.surface.constant_offset_surface(offset)` to obtain the desired surface." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "ed5c2871", + "metadata": {}, + "outputs": [], + "source": [ + "eq = get(\"precise_QA\")\n", + "\n", + "# create the constant offset surface\n", + "surf = eq.surface.constant_offset_surface(\n", + " offset=0.25, # desired offset\n", + " M=16, # Poloidal resolution of desired offset surface\n", + " N=16, # Toroidal resolution of desired offset surface\n", + " grid=LinearGrid(M=32, N=32, NFP=eq.NFP),\n", + ") # grid of points on base surface to evaluate unit normal and find points on offset surface,\n", + "# generally should be twice the desired resolution" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "40727923", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_comparison([surf, eq], labels=[\"surf\", \"eq\"], theta=0, rho=np.array(1.0));" + ] + }, + { + "cell_type": "markdown", + "id": "eaf5695b-200a-4e48-a0bd-160c7b83ac07", + "metadata": {}, + "source": [ + "## REGCOIL Algorithm through `SurfaceCurrentField.run_regcoil` Method" + ] + }, + { + "cell_type": "markdown", + "id": "c715054d-40e0-4ca1-bcb2-cfc112630fae", + "metadata": {}, + "source": [ + "To run the REGCOIL algorithm outlined earlier in this notebook, we can use the `FourierCurrentPotentialField` object in DESC, which describes a magnetic field created from a surface current of the form used in REGCOIL:\n", + "$$\\mathbf{K} =\\mathbf{n} \\times \\nabla \\Phi $$\n", + "$$\\Phi(\\theta',\\zeta') = \\Phi_{sv}(\\theta',\\zeta') + \\frac{G\\zeta'}{2\\pi} + \\frac{I\\theta'}{2\\pi}$$\n", + "\n", + "where `FourierCurrentPotentialField.Phi_mn` corresponds to the Fourier coefficients of $\\Phi_{sv}$, and `FourierCurrentPotentialField.I` and `FourierCurrentPotentialField.G` correspond to the net toroidal current on the surface $I$ and the net poloidal current on the surface $G$. $G$ is determined by the desired equilibrium field strength, and is manually assigned in this cell for clarity (in practice the `run_regcoil` method will automatically assign `G` according to the equilibrium field strength). We will show both modular $I=0$ and helical $I\\neq0$ coils in this notebook." + ] + }, + { + "cell_type": "markdown", + "id": "262e03c4-67b9-40f4-b0a1-8ea8505fd9b6", + "metadata": {}, + "source": [ + "### Modular" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "4cf19f53", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 0.00000e+00\n", + "##########################################################\n", + "chi^2 B = 1.12363e-10\n", + "min Bnormal = 6.26185e-18 (T)\n", + "Max Bnormal = 1.07849e-07 (T)\n", + "Avg Bnormal = 1.13708e-08 (T)\n", + "min Bnormal = 5.98023e-18 (unitless)\n", + "Max Bnormal = 1.02999e-07 (unitless)\n", + "Avg Bnormal = 1.08594e-08 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 1.00000e-30\n", + "##########################################################\n", + "chi^2 B = 1.12363e-10\n", + "min Bnormal = 6.61406e-18 (T)\n", + "Max Bnormal = 1.07849e-07 (T)\n", + "Avg Bnormal = 1.13708e-08 (T)\n", + "min Bnormal = 6.31661e-18 (unitless)\n", + "Max Bnormal = 1.02999e-07 (unitless)\n", + "Avg Bnormal = 1.08594e-08 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 4.28133e-29\n", + "##########################################################\n", + "chi^2 B = 1.12363e-10\n", + "min Bnormal = 6.57232e-18 (T)\n", + "Max Bnormal = 1.07849e-07 (T)\n", + "Avg Bnormal = 1.13708e-08 (T)\n", + "min Bnormal = 6.27674e-18 (unitless)\n", + "Max Bnormal = 1.02999e-07 (unitless)\n", + "Avg Bnormal = 1.08594e-08 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 1.83298e-27\n", + "##########################################################\n", + "chi^2 B = 1.12363e-10\n", + "min Bnormal = 6.86666e-18 (T)\n", + "Max Bnormal = 1.07849e-07 (T)\n", + "Avg Bnormal = 1.13707e-08 (T)\n", + "min Bnormal = 6.55784e-18 (unitless)\n", + "Max Bnormal = 1.02999e-07 (unitless)\n", + "Avg Bnormal = 1.08594e-08 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 7.84760e-26\n", + "##########################################################\n", + "chi^2 B = 1.12363e-10\n", + "min Bnormal = 6.83345e-18 (T)\n", + "Max Bnormal = 1.07839e-07 (T)\n", + "Avg Bnormal = 1.13702e-08 (T)\n", + "min Bnormal = 6.52613e-18 (unitless)\n", + "Max Bnormal = 1.02989e-07 (unitless)\n", + "Avg Bnormal = 1.08588e-08 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 3.35982e-24\n", + "##########################################################\n", + "chi^2 B = 1.12382e-10\n", + "min Bnormal = 6.27188e-18 (T)\n", + "Max Bnormal = 1.07623e-07 (T)\n", + "Avg Bnormal = 1.13624e-08 (T)\n", + "min Bnormal = 5.98981e-18 (unitless)\n", + "Max Bnormal = 1.02783e-07 (unitless)\n", + "Avg Bnormal = 1.08514e-08 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 1.43845e-22\n", + "##########################################################\n", + "chi^2 B = 1.15694e-10\n", + "min Bnormal = 6.29775e-18 (T)\n", + "Max Bnormal = 1.01155e-07 (T)\n", + "Avg Bnormal = 1.16730e-08 (T)\n", + "min Bnormal = 6.01452e-18 (unitless)\n", + "Max Bnormal = 9.66062e-08 (unitless)\n", + "Avg Bnormal = 1.11481e-08 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 6.15848e-21\n", + "##########################################################\n", + "chi^2 B = 2.54415e-10\n", + "min Bnormal = 6.51774e-18 (T)\n", + "Max Bnormal = 1.32898e-07 (T)\n", + "Avg Bnormal = 1.90757e-08 (T)\n", + "min Bnormal = 6.22462e-18 (unitless)\n", + "Max Bnormal = 1.26922e-07 (unitless)\n", + "Avg Bnormal = 1.82178e-08 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 2.63665e-19\n", + "##########################################################\n", + "chi^2 B = 3.04763e-09\n", + "min Bnormal = 7.17755e-18 (T)\n", + "Max Bnormal = 3.29776e-07 (T)\n", + "Avg Bnormal = 6.27087e-08 (T)\n", + "min Bnormal = 6.85475e-18 (unitless)\n", + "Max Bnormal = 3.14945e-07 (unitless)\n", + "Avg Bnormal = 5.98885e-08 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 1.12884e-17\n", + "##########################################################\n", + "chi^2 B = 2.09733e-07\n", + "min Bnormal = 6.67922e-18 (T)\n", + "Max Bnormal = 2.35163e-06 (T)\n", + "Avg Bnormal = 5.98678e-07 (T)\n", + "min Bnormal = 6.37884e-18 (unitless)\n", + "Max Bnormal = 2.24587e-06 (unitless)\n", + "Avg Bnormal = 5.71754e-07 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 4.83293e-16\n", + "##########################################################\n", + "chi^2 B = 6.31201e-05\n", + "min Bnormal = 6.62977e-18 (T)\n", + "Max Bnormal = 3.88044e-05 (T)\n", + "Avg Bnormal = 1.24351e-05 (T)\n", + "min Bnormal = 6.33160e-18 (unitless)\n", + "Max Bnormal = 3.70592e-05 (unitless)\n", + "Avg Bnormal = 1.18758e-05 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 2.06914e-14\n", + "##########################################################\n", + "chi^2 B = 9.27305e-03\n", + "min Bnormal = 6.38631e-18 (T)\n", + "Max Bnormal = 4.35431e-04 (T)\n", + "Avg Bnormal = 1.38489e-04 (T)\n", + "min Bnormal = 6.09910e-18 (unitless)\n", + "Max Bnormal = 4.15848e-04 (unitless)\n", + "Avg Bnormal = 1.32261e-04 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 8.85867e-13\n", + "##########################################################\n", + "chi^2 B = 6.67750e-02\n", + "min Bnormal = 6.77389e-18 (T)\n", + "Max Bnormal = 1.18127e-03 (T)\n", + "Avg Bnormal = 3.59442e-04 (T)\n", + "min Bnormal = 6.46925e-18 (unitless)\n", + "Max Bnormal = 1.12815e-03 (unitless)\n", + "Avg Bnormal = 3.43276e-04 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 3.79269e-11\n", + "##########################################################\n", + "chi^2 B = 8.30407e-02\n", + "min Bnormal = 7.09202e-18 (T)\n", + "Max Bnormal = 1.33511e-03 (T)\n", + "Avg Bnormal = 4.00578e-04 (T)\n", + "min Bnormal = 6.77307e-18 (unitless)\n", + "Max Bnormal = 1.27506e-03 (unitless)\n", + "Avg Bnormal = 3.82563e-04 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 1.62378e-09\n", + "##########################################################\n", + "chi^2 B = 8.35488e-02\n", + "min Bnormal = 6.92691e-18 (T)\n", + "Max Bnormal = 1.33961e-03 (T)\n", + "Avg Bnormal = 4.01814e-04 (T)\n", + "min Bnormal = 6.61538e-18 (unitless)\n", + "Max Bnormal = 1.27936e-03 (unitless)\n", + "Avg Bnormal = 3.83743e-04 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 6.95193e-08\n", + "##########################################################\n", + "chi^2 B = 8.35607e-02\n", + "min Bnormal = 6.40993e-18 (T)\n", + "Max Bnormal = 1.33971e-03 (T)\n", + "Avg Bnormal = 4.01843e-04 (T)\n", + "min Bnormal = 6.12166e-18 (unitless)\n", + "Max Bnormal = 1.27946e-03 (unitless)\n", + "Avg Bnormal = 3.83771e-04 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 2.97635e-06\n", + "##########################################################\n", + "chi^2 B = 8.35610e-02\n", + "min Bnormal = 6.11168e-18 (T)\n", + "Max Bnormal = 1.33972e-03 (T)\n", + "Avg Bnormal = 4.01844e-04 (T)\n", + "min Bnormal = 5.83682e-18 (unitless)\n", + "Max Bnormal = 1.27946e-03 (unitless)\n", + "Avg Bnormal = 3.83772e-04 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 1.27427e-04\n", + "##########################################################\n", + "chi^2 B = 8.35610e-02\n", + "min Bnormal = 6.95332e-18 (T)\n", + "Max Bnormal = 1.33972e-03 (T)\n", + "Avg Bnormal = 4.01844e-04 (T)\n", + "min Bnormal = 6.64061e-18 (unitless)\n", + "Max Bnormal = 1.27946e-03 (unitless)\n", + "Avg Bnormal = 3.83772e-04 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 5.45559e-03\n", + "##########################################################\n", + "chi^2 B = 8.35610e-02\n", + "min Bnormal = 6.92483e-18 (T)\n", + "Max Bnormal = 1.33972e-03 (T)\n", + "Avg Bnormal = 4.01844e-04 (T)\n", + "min Bnormal = 6.61340e-18 (unitless)\n", + "Max Bnormal = 1.27946e-03 (unitless)\n", + "Avg Bnormal = 3.83772e-04 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 2.33572e-01\n", + "##########################################################\n", + "chi^2 B = 8.35610e-02\n", + "min Bnormal = 6.84531e-18 (T)\n", + "Max Bnormal = 1.33972e-03 (T)\n", + "Avg Bnormal = 4.01844e-04 (T)\n", + "min Bnormal = 6.53745e-18 (unitless)\n", + "Max Bnormal = 1.27946e-03 (unitless)\n", + "Avg Bnormal = 3.83772e-04 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 1.00000e+01\n", + "##########################################################\n", + "chi^2 B = 8.35610e-02\n", + "min Bnormal = 6.48074e-18 (T)\n", + "Max Bnormal = 1.33972e-03 (T)\n", + "Avg Bnormal = 4.01844e-04 (T)\n", + "min Bnormal = 6.18928e-18 (unitless)\n", + "Max Bnormal = 1.27946e-03 (unitless)\n", + "Avg Bnormal = 3.83772e-04 (unitless)\n" + ] + }, + { + "data": { + "image/png": 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", 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", 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RWFgoxa6JiMiOWPz4eGtERERIsVsiIrIz8l25QEREDk+0kLrxYMSWlhaxpiQiIgcnWkgdPHgQAPDuu++KNSURETk40S/3DfKKdiIiGsJ4T4qIiGRLktV9RESOJq20HtuyLqKupRPjPYZhZ6QfYoPGSV2W7DGkiIhsLK20HpvSK6Hv7gUA1LZ0YlN6JQAwqPoh2uU+3osiIjJtW9ZFQ0DdoO/uhSarWqKK7IdoIbVgwQKjfxMR0XV1LZ0mx2tbOga5EvsjWkhNnTrV6N9ERHTdeI9hJscneLgNciX2R/TVfXV1dbh48aLY0xIR2a2dkX5QujgbjSldnJEcOUWiiuyHxQsn2tvbMXz4cPT09MDJycnwbKiUlBS4ublh/PjxOHPmDNasWYOFCxeKVrAlUlNTkZ+fD2dnZ1RUVKC4uFjSeojIsdxYHKHJqkZtSwcmeLghOXIKF00MgEUhtWfPHjQ3N+PatWtITExEYmIitFotAGD58uWYN28eMjMz8fTTTyMtLc2qAhsbG6HRaG4Jl5ycHGRkZECtVkOhUCApKcnsHAsWLMC6devQ3t6OAwcOWFUPEZElYoPGMZQsYFFIhYSEIDQ0FC4uLkhPT8e1a9cMr+3duxdVVVXw9PQEAEyYMMGqAgsKChAdHY3y8nLDmF6vR3x8PKqqquDq6oqVK1ciNzcX3t7e0Gg0Rp/XarW4++67AQBpaWl4/PHHraqHiIgGj0UhNXz4cKSmpmLTpk1YtWoVenp6DK+lpKSgq6sLBQUFeO6551BbW4t58+ZZXGBMTAzy8vKMxoqKiuDr6wtXV1cA159PlZmZiZSUFBw/ftzkPIIg4IcffoCPj4/FtRAR0eCyKKSCg4MRHBxs2L757GTSpEkA/v8qvwsXLlhTn0k6nQ4qlcqw7e7uDp1O1+dnMjMzERkZafZ1rVZruGQJAE1NTdYXSkREVhFldV96errhUR03O3XqlE2WpKvVarS1tRm2W1tboVar+/zM0qVLERISYvb1uLg4lJSUGP4ZPXq0aPUSEZFlRAmpmJgYFBQU4NKlS4axr7/+Gu+9954Y098iLCwMNTU16OrqAgAUFhYiKirKJvsiIiLpiPbbfZGRkXj99ddRU1ODzz//HF5eXtiyZYvV8+bn5+PQoUNoaGhAcnIytmzZAqVSiX379iEhIQGjR49GQEAA5s+fL0IXREQkJwpBhB/de/3115GamoqIiAiEhYWhs7PT7lfRBQcHo6SkROoyiIgcmihnUl1dXSgrK4NCoQBwfYn4kSNHsGzZMowYMUKMXRARkQMS5Z7U0qVLDQEFAEqlEo8//jgKCgrEmJ6IiByUKJf7hiJe7iMikh4fH09ERLLFkCIiItliSBERkWwxpIiISLYYUkREJFsMKSIiki2GFBERyRZDioiIZIshRUREssWQIiIi2WJIERGRbDGkiIhIthhSREQkWwwpIiKSLYYUERHJFkOKiIhkiyFFRESyxZAiIiLZYkgREZFsMaSIiEi2GFJERCRbDCkiIpKtO6QugIjIkaWV1mNb1kXUtXRivMcw7Iz0Q2zQOKnLkg2GFBGRRNJK67EpvRL67l4AQG1LJzalVwIAg+r/4eU+IiKJbMu6aAioG/TdvdBkVUtUkfwwpIiIJFLX0mlyvLalY5ArkS+GFBGRRMZ7DDM5PsHDbZArkS+GFBGRRHZG+kHp4mw0pnRxRnLkFIkqkh+GFBGRRGKDxuFAzHT4erhBAcDXww0HYqZz0cRNFIIgCFIXIUfBwcEoKSmRugwiIofGMykiIpIthhQREcmWQ3yZt6qqCgcPHsSUKVMwYsQIPPbYY1KXREREAyD7kGpsbIRGo0FFRQWKi4sN4zk5OcjIyIBarYZCoUBSUpLZOU6cOIGHHnoIkZGRePDBBxlSRER2QvYhVVBQgOjoaJSXlxvG9Ho94uPjUVVVBVdXV6xcuRK5ubnw9vaGRqMx+rxWq8VTTz2F1NRUNDU14X//+98gd0BERJaSfUjFxMQgLy/PaKyoqAi+vr5wdXUFAISHhyMzMxMpKSk4fvz4LXNcuXIF69evh7u7Oz744INBqJqIiMQg+5AyRafTQaVSGbbd3d2h0+nMvv/bb7/Fm2++CT8/P2zevNnke7RaLbRarWG7qalJvIKJiMgidhlSarUabW1thu3W1lao1Wqz77///vvxt7/9rc854+LiEBcXZ9gODg62vlAiIrKKXS5BDwsLQ01NDbq6ugAAhYWFiIqKkrgqIiISm+xDKj8/H4cOHUJDQwOSk5PR0dEBpVKJffv2ISEhARqNBgEBAZg/f77UpRIRkcj4s0hm8GeRiIikJ/szKSIiclwMKSIiki2GFBERyRZDioiIZIshRUREsmWXX+YlIhrK0krrsS3rIupaOjHeYxh2Rvo57NN6GVJERDKSVlqPTemV0Hf3AgBqWzqxKb0SABwyqHi5j4hIRrZlXTQE1A367l5osqolqkhaDCkiIhmpa+k0OV7b0jHIlcgDQ4qISEbGewwzOT7Bw22QK5EHhhQRkYzsjPSD0sXZaEzp4ozkyCkSVSQthhQRkYzEBo3DgZjp8PVwgwKAr4cbDsRMd8hFEwB/YNYs/sAsEZH0uASdiMgO9fVdqrTSejz5j3L03nQK4qO6E98nLZSoWssxpIiI7Exf36UCgHVHy/HLS2SX267i7j+esLugYkgREdmZvr5LJUC4JaBuuNx21fbFiYwhRURkZxzpu1Rc3UdEZGf6+i6VudfsFUOKiMjO9PVdqp2RflCY+ZyP6k7bFycyXu4jIrIzN1bxabKqUdvSgQkebkiOnGL0XaqhsrqP35Myg9+TIiKSHi/3ERGRbDGkiIhIthhSREQkWwwpIiKSLYYUERHJFlf3meHl5YV77rlH6jJs5sqVKxg5cqTUZdjMUO1vKPY1lHoaCr3c3IOXlxc++eQTaQsSyCH99re/lboEmxqq/Q3FvoZST0OhF7n1wMt9Durhhx+WugSbGqr9DcW+hlJPQ6EXufXAy31ERCRbPJMiIiLZYkgREZFsMaSIiEi2GFJ023p6erBz507ExcVJXYrNDbVeh1o/N7P33uy9flPE6ImP6qDb1t7ejsWLF2Pfvn2GsYqKChQXF0Ov16O5uRk7duyQsELxDLVeh1o/N7P33uy9flPE6IkhJVONjY3QaDSGA2pKaGgohg27/hROZ2dn5Obmir6vnJwcZGRkQK1WQ6FQICkpCSNHjoSnp6fR+2bMmAGVSoVXXnkFy5cvF70nsXrtqw6xeh1In9XV1Th69Cjc3NyQn5+P7du3Y9asWaL1Ym0/1vQg52PVX1/fffcd5s+fj/HjxwMAWltbERAQgNTUVNFqt7T+Bx98EBs3brSodjkfk35J/UUtMu39998XPv74YyEoKMjse5KSkvqc49y5c8KlS5cM2z09PcI//vGPAe+rvb1dmDRpktDZ2SkIgiCsWLFCyMnJEQRBEL799lthw4YNt8zV1tYmrFixQvSe+utVEKzrV8xe++uzp6dHWLJkidDb2ysIgiBcvnxZ0Ol0ovUiRj/W9CDnY9VfX83NzcLJkycN20lJScKpU6dEq92a+kNCQiyuXc7HpD+8JyVTMTExUKlUfb6nsrISu3fvxvbt25GZmXnL66NGjUJsbCwqKyvR1dWFVatW4aeffhrwvoqKiuDr6wtXV1cAQHh4uMn9AEB2djYAYMSIEWhraxO9p/56tbZfMXvtr8/i4mIIgoA33ngDf/rTn/DPf/4TXl5eovUiRj/W9CDnY9VfX56enoiIiAAAdHV1oaSkBHPmzBGtdmvqd3d3t7h2OR+T/vBynx3bunUrZs2ahd7eXsybNw8qlQrz5s0zvP6rX/0K77//Ph599FG4ublhw4YNiI2NHfD8Op3O6D9Gd3d36HQ6CIKAY8eOobq6GmVlZQgMDERTUxN27doFJycnPPnkk6L31F+v1vY7mL3W1NSgqKgIR48exciRIxEbG4s777zTaC65H7u+ehgqx+ro0aNYvXr1LeNyPzamarfnY8KQsmM37mE4Oztj7ty5+Oyzz275D0+lUkGpVKK1tRVjx469rfnVarXR/9NpbW01XG/eunUrtm7danjtdv6S9sVcTwPpFbC838Hs1d3dHX5+foYf8ZwzZw7y8vJu+Qsr52PXVw9D5Vi9//77OH78uMnXpDo2eXl5FtVuz8eEl/vszHfffQcAuHjxIt5++23D+KVLlzBp0iSj9+p0OixbtgwvvvgicnNzsWvXLnz00UcD3ldYWBhqamrQ1dUFACgsLERUVJT1TfxCfz0NpFfAun4Ho9cbfYaEhODHH39Eb28vgOtnJffdd5/Re+V67PrrwV6P1Y2+bsjLy0NYWBhcXFxErd0W9fdXu70eE4N+71qRJPLy8oT169cLPj4+wksvvSTo9Xqht7dX8PX1Fb799lvh+++/F5YvXy7s2LFDeOGFF4TnnnvOcBP7htzcXOHcuXOG7fb2duHVV18d0L5uOHHihBAXFyds27ZN2L59uyQ9DaRXMfoVq9f++hQEQcjIyBCeffZZ4Y9//KOwYcMGoz9zMXqxth9Le5D7sRpIX4IgCKtXrxaamppMziHVsbG0drkfk/7wB2aJiEi2eLmPiIhkiyFFRESyxZAiIiLZYkgREZFsMaSIiEi2GFJERCRbDCkiIpIthhQREckWQ4qIiGSLIUUkM0eOHMGYMWNQVlbW5xiRI+DPIhHJyNWrV+Hv749nnnkGHh4e2LBhg8kxIkfBR3UQyUh2djZmzJiBLVu29DlG5Ch4uY9IRrKzsw1PV+1rjMhRMKSIZOTTTz9FaGhov2NEjoL3pIhuU3FxMdrb23H27FmjJ45a68cff4SPjw9aW1vh6upqdozIkfBMiug2lZSUICQkBM3NzUaPzLZWYWEh/P39jcLo5rFXXnkFY8aMwcGDBwEA9fX18PPzw1//+lcA18MzLy8Pu3fvvmXuCxcuYPr06WhoaDAa7+zsxNq1a0XrgUhsDCmi2/T000/jzjvvRG9vL1QqlWjznj59GgEBAWbHgoKCsGjRIjzxxBO4du0aCgsLcebMGTzzzDMA+g7PqVOnwtfXF2PHjjUaP3LkCM6dO3dLLR9++KFofRFZgyFFZIH09HQkJibi6tWros15+vRpTJ8+3ezYuXPnEBISgq6uLhw7dgyPPPIIPDw8DO/tKzzb29tvGbty5QqcnZ3R2tpqNP7f//4XJ06cEK0vImswpIhMqKqqwu7du/Haa68Zxt577z0AwOHDh5GdnY3ExEQ4OYnzV6inpwclJSVGZ1K/HDt37hymTJmClStX4r777jN5j+qX4Xn06FG8++67eOmllzBz5kyj9x4+fBirVq2Cs7Mzuru7DeMnTpxAQkKCKH0RWYvfkyIyYdq0afD398cDDzyAZ599Fp988gkWLFgAAFizZg3WrFlj8nNVVVU4efKkydeeeOIJjBo1yuznOjo6MGPGDLNjxcXFaG5uxrJly3D48GEEBQUZzXH48GHk5ubi5MmT2L9/P6qrq3Hy5Em88847SE5ONloh2NjYCKVSCTc3N3h5eaGpqQk+Pj4AACcnJ/j7+w/wT4rIthhSRGY4OTkhIiICf/7znxEVFWU2YG42bdo0TJs27bb3VVpaCrVajTFjxpgca2xsxNixY/HYY4+hpaUFgYGBePnll+Hs7Gx4/y/DMy0tDUuWLAEAVFRU4A9/+IPhtf379+Ouu+7C/v37cfXqVeh0OkNIxcfH33b9RLbCkCLqw+zZs5Gfn48pU6YYxi5cuIAtW7bgrbfewuXLl5Gbm4vf/e53cHd37/NMat26dbjrrrtMvlZeXo4HHnjA7NjZs2cNZ0IeHh6YOXMmcnJysGjRIrO1//zzz/Dz88PVq1eh1+tx9uxZzJs3D19//TXuv/9+PPLIIwCuryBsamoa8J8J0WBiSBGZ0d7ejs7OTnz++edG421tbXjkkUdw5coVeHl5ITEx0fCapWdSFRUVmDdvnsmxwsJC/OUvf4GHhwfq6+sxatQo6PV6vPjii7jnnnuMAvRma9euxYkTJ3DhwgVMnjwZOp0OJ0+exPPPP29Ytl5aWorq6mqkpaUhKCjIbIgSSYVf5iUyIy0tDWvWrMGKFSuwZ88eTJ48GQCwd+9eeHl5IScnB4cOHRJlX56enkhNTcXDDz/c5xiRo+HqPiITsrKysGzZMigUCrzwwgt47bXXkJ+fD+D65b7HH38ckydPxpdffmn1vi5fvoyff/4Zs2fP7nOMyBHxch+RCZGRkYb/HR4ejvDwcADA+fPnUVdXh7a2NoSGhmLHjh14++23oVQqLd5XZWUl/Pz84Onp2ecYkSNiSBHdhoCAAMMXXRcuXIiFCxdaPWdFRQXmzJnT7xiRI+LlPiKJlZWVYe7cuf2OETkiLpwgkpivry8KCwsxbty4PseIHBHPpIgkVFZWBnd3d6MwMjVG5Kh4T4pIAidPnkRhYSG+/PJLbN682ewYkaPj5T4iCXzzzTcIDw9HSEgI0tPTcccdd5gcI3J0DCkiIpIt3pMiIiLZYkgREZFsMaSIiEi2GFJERCRbDCkiIpIthhQREckWQ4qIiGSLIUVERLL1fwGJP0zmdHzUTAAAAABJRU5ErkJggg==", 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# create the FourierCurrentPotentialField object from the constant offset surface we found in the previous cell\n", + "surface_current_field = FourierCurrentPotentialField.from_surface(\n", + " surf,\n", + " I=0,\n", + " # manually setting G to value needed to provide the equilibrium's toroidal flux,\n", + " # though this is not necessary as it gets set automatically inside the solve_regularized_surface_current function\n", + " G=np.asarray(\n", + " [\n", + " -eq.compute(\"G\", grid=LinearGrid(rho=np.array(1.0)))[\"G\"][0]\n", + " / mu_0\n", + " * 2\n", + " * np.pi\n", + " ]\n", + " ),\n", + " # set symmetry of the current potential, \"sin\" is usually expected for stellarator-symmetric surfaces and equilibria\n", + " sym_Phi=\"sin\",\n", + ")\n", + "\n", + "surface_current_field.change_Phi_resolution(M=12, N=12)\n", + "\n", + "# create the evaluation grid (where Bn will be minimized on plasma surface)\n", + "# and source grid (discretizes the source K for Biot-Savart and where |K| will be penalized on winding surface)\n", + "Megrid = 20\n", + "Negrid = 20\n", + "Msgrid = 20\n", + "Nsgrid = 20\n", + "\n", + "eval_grid = LinearGrid(M=Megrid, N=Negrid, NFP=eq.NFP, sym=False)\n", + "# ensure that sym=False for source grid so the field evaluated from the surface current is accurate\n", + "# (i.e. must evaluate source over whole surface, not just the symmetric part)\n", + "# NFP>1 is ok, as we internally will rotate the source through the field periods to sample entire winding surface\n", + "sgrid = LinearGrid(M=Msgrid, N=Nsgrid, NFP=eq.NFP, sym=False)\n", + "\n", + "lambda_regularization = np.append(np.array([0]), np.logspace(-30, 1, 20))\n", + "\n", + "# solve_regularized_surface_current method runs the REGCOIL algorithm\n", + "fields, data = solve_regularized_surface_current(\n", + " surface_current_field, # the surface current field whose geometry and Phi resolution will be used\n", + " eq=eq, # the Equilibrium object to minimize Bn on the surface of\n", + " source_grid=sgrid, # source grid\n", + " eval_grid=eval_grid, # evaluation grid\n", + " current_helicity=(\n", + " 1,\n", + " 0,\n", + " ), # pair of integers (M_coil, N_coil), determines topology of contours (almost like QS helicity),\n", + " # M_coil is the number of times the coil transits poloidally before closing back on itself\n", + " # and N_coil is the toroidal analog (if M_coil!=0 and N_coil=0, we have modular coils, if both M_coil\n", + " # and N_coil are nonzero, we have helical coils)\n", + " # we pass in an array to perform scan over the regularization parameter (which we call lambda_regularization)\n", + " # to see tradeoff between Bn and current complexity\n", + " lambda_regularization=lambda_regularization,\n", + " # lambda_regularization can also be just a single number in which case no scan is performed\n", + " vacuum=True, # this is a vacuum equilibrium, so no need to calculate the Bn contribution from the plasma currents\n", + " regularization_type=\"regcoil\",\n", + ")\n", + "surface_current_field = fields[\n", + " 0\n", + "] # fields is a list of FourierCurrentPotentialField objects\n", + "# the plot function can take either the list or a single field, all that matters is it has\n", + "# the correct Phi resolution and surface geometry\n", + "plot_regcoil_outputs(surface_current_field, data, eq, vacuum=True);" + ] + }, + { + "cell_type": "markdown", + "id": "17462ad1-4c56-47ed-9773-5f9e1db2e380", + "metadata": {}, + "source": [ + "`data` is a dictionary containing the `Phi_mn` arrays for each different value of $\\lambda_{regularization}$ (corresponding to the `data[\"lambda_regularizations\"]` item in the dict), as well as other useful information like the net currents $I$ and $G$ and the cost functions $\\chi^2_B$ and $\\chi^2_K$ at each value of $\\lambda_{regularization}$" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "47b0a6cb-9266-4cef-a9eb-b0c07244d200", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['eval_grid', 'source_grid', 'lambda_regularization', 'Phi_mn', 'I', 'G', 'chi^2_B', 'chi^2_K', '|K|', 'Bn_total'])" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.keys()" + ] + }, + { + "cell_type": "markdown", + "id": "09d06673-e323-4ba1-ac3c-93f2b8ba0471", + "metadata": {}, + "source": [ + "### Helical" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "c7064d90-1615-49f8-9626-536c0c688d31", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 0.00000e+00\n", + "##########################################################\n", + "chi^2 B = 7.50843e-08\n", + "min Bnormal = 5.82907e-18 (T)\n", + "Max Bnormal = 1.71572e-06 (T)\n", + "Avg Bnormal = 3.13000e-07 (T)\n", + "min Bnormal = 5.56692e-18 (unitless)\n", + "Max Bnormal = 1.63856e-06 (unitless)\n", + "Avg Bnormal = 2.98923e-07 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 1.00000e-30\n", + "##########################################################\n", + "chi^2 B = 7.50843e-08\n", + "min Bnormal = 5.87142e-18 (T)\n", + "Max Bnormal = 1.71572e-06 (T)\n", + "Avg Bnormal = 3.13000e-07 (T)\n", + "min Bnormal = 5.60737e-18 (unitless)\n", + "Max Bnormal = 1.63856e-06 (unitless)\n", + "Avg Bnormal = 2.98923e-07 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 4.28133e-29\n", + "##########################################################\n", + "chi^2 B = 7.50843e-08\n", + "min Bnormal = 5.89892e-18 (T)\n", + "Max Bnormal = 1.71572e-06 (T)\n", + "Avg Bnormal = 3.13000e-07 (T)\n", + "min Bnormal = 5.63363e-18 (unitless)\n", + "Max Bnormal = 1.63856e-06 (unitless)\n", + "Avg Bnormal = 2.98923e-07 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 1.83298e-27\n", + "##########################################################\n", + "chi^2 B = 7.50843e-08\n", + "min Bnormal = 6.14901e-18 (T)\n", + "Max Bnormal = 1.71572e-06 (T)\n", + "Avg Bnormal = 3.13000e-07 (T)\n", + "min Bnormal = 5.87247e-18 (unitless)\n", + "Max Bnormal = 1.63856e-06 (unitless)\n", + "Avg Bnormal = 2.98923e-07 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 7.84760e-26\n", + "##########################################################\n", + "chi^2 B = 7.50843e-08\n", + "min Bnormal = 6.05922e-18 (T)\n", + "Max Bnormal = 1.71572e-06 (T)\n", + "Avg Bnormal = 3.13000e-07 (T)\n", + "min Bnormal = 5.78672e-18 (unitless)\n", + "Max Bnormal = 1.63856e-06 (unitless)\n", + "Avg Bnormal = 2.98923e-07 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 3.35982e-24\n", + "##########################################################\n", + "chi^2 B = 7.50843e-08\n", + "min Bnormal = 6.78531e-18 (T)\n", + "Max Bnormal = 1.71572e-06 (T)\n", + "Avg Bnormal = 3.13000e-07 (T)\n", + "min Bnormal = 6.48015e-18 (unitless)\n", + "Max Bnormal = 1.63856e-06 (unitless)\n", + "Avg Bnormal = 2.98923e-07 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 1.43845e-22\n", + "##########################################################\n", + "chi^2 B = 7.50839e-08\n", + "min Bnormal = 5.73472e-18 (T)\n", + "Max Bnormal = 1.71574e-06 (T)\n", + "Avg Bnormal = 3.13000e-07 (T)\n", + "min Bnormal = 5.47681e-18 (unitless)\n", + "Max Bnormal = 1.63858e-06 (unitless)\n", + "Avg Bnormal = 2.98923e-07 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 6.15848e-21\n", + "##########################################################\n", + "chi^2 B = 7.50687e-08\n", + "min Bnormal = 6.14279e-18 (T)\n", + "Max Bnormal = 1.71649e-06 (T)\n", + "Avg Bnormal = 3.13020e-07 (T)\n", + "min Bnormal = 5.86653e-18 (unitless)\n", + "Max Bnormal = 1.63929e-06 (unitless)\n", + "Avg Bnormal = 2.98943e-07 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 2.63665e-19\n", + "##########################################################\n", + "chi^2 B = 7.56765e-08\n", + "min Bnormal = 6.19589e-18 (T)\n", + "Max Bnormal = 1.75015e-06 (T)\n", + "Avg Bnormal = 3.18154e-07 (T)\n", + "min Bnormal = 5.91724e-18 (unitless)\n", + "Max Bnormal = 1.67144e-06 (unitless)\n", + "Avg Bnormal = 3.03846e-07 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 1.12884e-17\n", + "##########################################################\n", + "chi^2 B = 1.67853e-06\n", + "min Bnormal = 6.41085e-18 (T)\n", + "Max Bnormal = 4.68185e-06 (T)\n", + "Avg Bnormal = 1.45881e-06 (T)\n", + "min Bnormal = 6.12253e-18 (unitless)\n", + "Max Bnormal = 4.47130e-06 (unitless)\n", + "Avg Bnormal = 1.39320e-06 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 4.83293e-16\n", + "##########################################################\n", + "chi^2 B = 1.70442e-03\n", + "min Bnormal = 6.44108e-18 (T)\n", + "Max Bnormal = 1.39268e-04 (T)\n", + "Avg Bnormal = 4.33090e-05 (T)\n", + "min Bnormal = 6.15141e-18 (unitless)\n", + "Max Bnormal = 1.33005e-04 (unitless)\n", + "Avg Bnormal = 4.13613e-05 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 2.06914e-14\n", + "##########################################################\n", + "chi^2 B = 1.61314e-01\n", + "min Bnormal = 7.58617e-18 (T)\n", + "Max Bnormal = 1.27242e-03 (T)\n", + "Avg Bnormal = 5.15967e-04 (T)\n", + "min Bnormal = 7.24500e-18 (unitless)\n", + "Max Bnormal = 1.21520e-03 (unitless)\n", + "Avg Bnormal = 4.92763e-04 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 8.85867e-13\n", + "##########################################################\n", + "chi^2 B = 5.36631e-01\n", + "min Bnormal = 7.92974e-18 (T)\n", + "Max Bnormal = 2.73844e-03 (T)\n", + "Avg Bnormal = 1.04753e-03 (T)\n", + "min Bnormal = 7.57312e-18 (unitless)\n", + "Max Bnormal = 2.61528e-03 (unitless)\n", + "Avg Bnormal = 1.00042e-03 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 3.79269e-11\n", + "##########################################################\n", + "chi^2 B = 5.86153e-01\n", + "min Bnormal = 7.87832e-18 (T)\n", + "Max Bnormal = 2.95036e-03 (T)\n", + "Avg Bnormal = 1.11115e-03 (T)\n", + "min Bnormal = 7.52401e-18 (unitless)\n", + "Max Bnormal = 2.81768e-03 (unitless)\n", + "Avg Bnormal = 1.06117e-03 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 1.62378e-09\n", + "##########################################################\n", + "chi^2 B = 5.87472e-01\n", + "min Bnormal = 7.87802e-18 (T)\n", + "Max Bnormal = 2.95591e-03 (T)\n", + "Avg Bnormal = 1.11282e-03 (T)\n", + "min Bnormal = 7.52372e-18 (unitless)\n", + "Max Bnormal = 2.82298e-03 (unitless)\n", + "Avg Bnormal = 1.06277e-03 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 6.95193e-08\n", + "##########################################################\n", + "chi^2 B = 5.87503e-01\n", + "min Bnormal = 7.87805e-18 (T)\n", + "Max Bnormal = 2.95604e-03 (T)\n", + "Avg Bnormal = 1.11286e-03 (T)\n", + "min Bnormal = 7.52375e-18 (unitless)\n", + "Max Bnormal = 2.82310e-03 (unitless)\n", + "Avg Bnormal = 1.06281e-03 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 2.97635e-06\n", + "##########################################################\n", + "chi^2 B = 5.87504e-01\n", + "min Bnormal = 7.87805e-18 (T)\n", + "Max Bnormal = 2.95605e-03 (T)\n", + "Avg Bnormal = 1.11286e-03 (T)\n", + "min Bnormal = 7.52375e-18 (unitless)\n", + "Max Bnormal = 2.82310e-03 (unitless)\n", + "Avg Bnormal = 1.06281e-03 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 1.27427e-04\n", + "##########################################################\n", + "chi^2 B = 5.87504e-01\n", + "min Bnormal = 7.87805e-18 (T)\n", + "Max Bnormal = 2.95605e-03 (T)\n", + "Avg Bnormal = 1.11286e-03 (T)\n", + "min Bnormal = 7.52375e-18 (unitless)\n", + "Max Bnormal = 2.82310e-03 (unitless)\n", + "Avg Bnormal = 1.06281e-03 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 5.45559e-03\n", + "##########################################################\n", + "chi^2 B = 5.87504e-01\n", + "min Bnormal = 7.87805e-18 (T)\n", + "Max Bnormal = 2.95605e-03 (T)\n", + "Avg Bnormal = 1.11286e-03 (T)\n", + "min Bnormal = 7.52375e-18 (unitless)\n", + "Max Bnormal = 2.82310e-03 (unitless)\n", + "Avg Bnormal = 1.06281e-03 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 2.33572e-01\n", + "##########################################################\n", + "chi^2 B = 5.87504e-01\n", + "min Bnormal = 7.87805e-18 (T)\n", + "Max Bnormal = 2.95605e-03 (T)\n", + "Avg Bnormal = 1.11286e-03 (T)\n", + "min Bnormal = 7.52375e-18 (unitless)\n", + "Max Bnormal = 2.82310e-03 (unitless)\n", + "Avg Bnormal = 1.06281e-03 (unitless)\n", + "##########################################################\n", + "Calculating Phi_SV for lambda_regularization = 1.00000e+01\n", + "##########################################################\n", + "chi^2 B = 5.87504e-01\n", + "min Bnormal = 7.87805e-18 (T)\n", + "Max Bnormal = 2.95605e-03 (T)\n", + "Avg Bnormal = 1.11286e-03 (T)\n", + "min Bnormal = 7.52375e-18 (unitless)\n", + "Max Bnormal = 2.82310e-03 (unitless)\n", + "Avg Bnormal = 1.06281e-03 (unitless)\n" + ] + }, + { + "data": { + "image/png": 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", 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", 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", 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# create the FourierCurrentPotentialField object from the constant offset surface we found in the previous cell\n", + "surface_current_field_helical = FourierCurrentPotentialField.from_surface(\n", + " surf,\n", + " I=0, # this will be overwritten with the `solve_regularized_surface_current` call\n", + " # manually setting G to value needed to provide the equilibrium's toroidal flux\n", + " G=np.asarray(\n", + " [\n", + " -eq.compute(\"G\", grid=LinearGrid(rho=np.array(1.0)))[\"G\"][0]\n", + " / mu_0\n", + " * 2\n", + " * np.pi\n", + " ]\n", + " ),\n", + " # set symmetry of the current potential, \"sin\" is usually expected for stellarator-symmetric surfaces and equilibria\n", + " sym_Phi=\"sin\",\n", + ")\n", + "# we use the same grids from the above cells\n", + "surface_current_field_helical.change_Phi_resolution(M=8, N=8)\n", + "\n", + "# solve_regularized_surface_current method runs the REGCOIL-like algorithm\n", + "fields_helical, data_helical = solve_regularized_surface_current(\n", + " surface_current_field_helical, # the surface current field whose geometry and Phi resolution will be used\n", + " eq=eq, # the Equilibrium object to minimize Bn on the surface of\n", + " source_grid=sgrid, # source grid\n", + " eval_grid=eval_grid, # evaluation grid\n", + " current_helicity=(\n", + " 1 * surface_current_field_helical.NFP,\n", + " -1,\n", + " ), # pair of integers (M_coil, N_coil), determines topology of contours (almost like QS helicity),\n", + " # M_coil is the number of times the coil transits poloidally before closing back on itself (since it is helical now,\n", + " # we want this to be num_turns_per_FP * NFP) and N_coil is the toroidal analog (if M_coil!=0 and N_coil=0, we have\n", + " # modular coils, if both M_coil and N_coil are nonzero, we have helical coils)\n", + " # # we pass in an array to perform scan over the regularization parameter (which we call lambda_regularization)\n", + " # to see tradeoff between Bn and current complexity\n", + " lambda_regularization=lambda_regularization,\n", + " # lambda_regularization can also be just a single number in which case no scan is performed\n", + " vacuum=True, # this is a vacuum equilibrium, so no need to calculate the Bn contribution from the plasma currents\n", + " # there are two different regularizations available, \"simple\" penalizes the Phi_mn current potential components only,\n", + " # which is cheaper than the \"regcoil\" regularization, with the tradeoff that chi^2_K is not guaranteed to monotonically decrease\n", + " regularization_type=\"simple\",\n", + ")\n", + "surface_current_field_helical = fields_helical[0]\n", + "plot_regcoil_outputs(surface_current_field_helical, data_helical, eq, vacuum=True);" + ] + }, + { + "cell_type": "markdown", + "id": "7f829844-000c-4575-9b40-9e903beaca58", + "metadata": {}, + "source": [ + "From both of the above calculations, we can see that there is an optimal tradeoff between complexity and normal field error to be roughly $\\lambda_{regularization}=1e-19$, so we will set the `surface_current_field` objects with the corresponding `Phi_mn`" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "152747b0-15e5-4a4c-8ba5-00639727ccea", + "metadata": {}, + "outputs": [], + "source": [ + "# index 8 corresponds to lambda_regularization=~1e-19\n", + "surface_current_field.Phi_mn = data[\"Phi_mn\"][8]\n", + "surface_current_field_helical.Phi_mn = data_helical[\"Phi_mn\"][8]" + ] + }, + { + "cell_type": "markdown", + "id": "632b6318-fef4-4913-85fb-1e139394cd16", + "metadata": { + "tags": [] + }, + "source": [ + "## REGCOIL Algorithm with `QuadraticFlux` and `SurfaceCurrentRegularization` Objective Functions" + ] + }, + { + "cell_type": "markdown", + "id": "63ec8c37-3373-47c5-b43e-e25d1b3d18d8", + "metadata": {}, + "source": [ + "Alternatively, we can solve a similar problem using the optimization framework of DESC, by using two objectives, a `QuadraticFlux` objective targeting the normal field errors on the plasma surface from the field, and a `SurfaceCurrentRegularization` objective to add the regularization based off of the surface current magnitude. This is the same problem as is solved above, but in a way that could be combined with other optimization objectives." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "ac85030f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Building objective: Quadratic flux\n", + "Precomputing transforms\n", + "Building objective: surface-current-regularization\n", + "Precomputing transforms\n", + "Building objective: fixed parameters\n", + "Number of parameters: 312\n", + "Number of objectives: 3362\n", + "\n", + "Starting optimization\n", + "Using method: lsq-exact\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/dpanici/Research/DESC/desc/optimize/least_squares.py:346: RuntimeWarning: invalid value encountered in scalar divide\n", + " alpha *= tr_old / trust_radius\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Warning: Maximum number of iterations has been exceeded.\n", + " Current function value: 6.650e-08\n", + " Total delta_x: 3.627e+03\n", + " Iterations: 1\n", + " Function evaluations: 2\n", + " Jacobian evaluations: 2\n", + "==============================================================================================================\n", + " Start --> End\n", + "Total (sum of squares): 1.804e-06 --> 6.650e-08, \n", + "Maximum absolute Boundary normal field error: 3.898e-05 --> 8.909e-06 (T m^2)\n", + "Minimum absolute Boundary normal field error: 1.369e-16 --> 1.732e-16 (T m^2)\n", + "Average absolute Boundary normal field error: 6.034e-06 --> 9.505e-07 (T m^2)\n", + "Maximum absolute Boundary normal field error: 2.134e-04 --> 4.878e-05 (normalized)\n", + "Minimum absolute Boundary normal field error: 7.494e-16 --> 9.485e-16 (normalized)\n", + "Average absolute Boundary normal field error: 3.304e-05 --> 5.205e-06 (normalized)\n", + "Maximum absolute Surface Current Regularization: 1.270e+06 --> 1.309e+06 A/m\n", + "Minimum absolute Surface Current Regularization: 4.328e+05 --> 3.839e+05 A/m\n", + "Average absolute Surface Current Regularization: 6.340e+05 --> 6.366e+05 A/m\n", + "Maximum absolute Surface Current Regularization: 2.283e-01 --> 2.353e-01 (normalized)\n", + "Minimum absolute Surface Current Regularization: 7.778e-02 --> 6.899e-02 (normalized)\n", + "Average absolute Surface Current Regularization: 1.139e-01 --> 1.144e-01 (normalized)\n", + "Fixed parameters error: 0.000e+00 --> 0.000e+00 (~)\n", + "==============================================================================================================\n" + ] + } + ], + "source": [ + "# form the constraints for the problem, we only want the Phi_mn to vary so we will fix all other parameters of FourierCurrentPotentialField\n", + "constraints = ( # now fix all but Phi_mn\n", + " FixParameters(\n", + " surface_current_field,\n", + " params={\"I\": True, \"G\": True, \"R_lmn\": True, \"Z_lmn\": True},\n", + " ),\n", + ")\n", + "# we form the QuadraticFlux part of the objective function\n", + "obj_flux = QuadraticFlux(\n", + " field=surface_current_field, # the field to be optimized\n", + " eq=eq, # the equilibrium upon which the quadratic flux is being evaluated\n", + " eval_grid=eval_grid,\n", + " field_grid=sgrid,\n", + " vacuum=True,\n", + ")\n", + "# the regularization cost based off of the surface current magnitude\n", + "obj_regularization = SurfaceCurrentRegularization(\n", + " surface_current_field=surface_current_field,\n", + " source_grid=sgrid,\n", + " weight=np.sqrt(data[\"lambda_regularization\"][8]),\n", + ") # we will set it to the sqrt of optimal weight from above,\n", + "# since DESC will square the weight when making the overall cost fxn\n", + "\n", + "optimizer = Optimizer(\"lsq-exact\")\n", + "\n", + "objective = ObjectiveFunction((obj_flux, obj_regularization))\n", + "(surface_current_field,), result = optimizer.optimize(\n", + " surface_current_field,\n", + " objective,\n", + " constraints,\n", + " verbose=1,\n", + " ftol=0,\n", + " gtol=0,\n", + " xtol=1e-16,\n", + " # because it is a linear least-squares problem, it is exactly solvable in 1 iteration\n", + " maxiter=1,\n", + " # we must make sure that the trust region of the optimization algorithm is\n", + " # large enough to allow the entire problem to be solved in one step, so set the\n", + " # trust radius to be infinite\n", + " options={\n", + " \"initial_trust_radius\": np.inf,\n", + " # we also will use the Cholesky factorization to solve\n", + " # since the matrices involved are positive-definite\n", + " \"tr_method\": \"cho\",\n", + " },\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "9699fa91", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "plot_2d(\n", + " eq.surface,\n", + " \"B*n\",\n", + " field=surface_current_field,\n", + " field_grid=LinearGrid(M=80, N=80, NFP=eq.NFP),\n", + " cmap=\"viridis\",\n", + ")\n", + "\n", + "plot_2d(surface_current_field, \"Phi\", levels=10, filled=False);" + ] + }, + { + "cell_type": "markdown", + "id": "777e5fa8-a49c-4451-913e-7b555e94f4a6", + "metadata": {}, + "source": [ + "## Create Coils from Surface Current" + ] + }, + { + "cell_type": "markdown", + "id": "893f3f09-fb15-4128-a64c-d9bf280acbe5", + "metadata": {}, + "source": [ + "Now that we have the surface current, we can take a selection of constant $\\Phi$ contours to discretize the surface current into coils. This can be done easily via the `FourierCurrentPotentialField.to_CoilSet` method, which will take the surface current field and return a discretized coilset with the desired total number of coils `num_coils`." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "b55bc702-a4e4-42bc-a302-4611220908f3", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# for reference when we look at B normal errors we will plot the equilibrium magnetic field, it is roughly 1 T\n", + "plot_2d(eq, \"|B|\");" + ] + }, + { + "cell_type": "markdown", + "id": "24639e12-1f31-48e3-bf58-553164e0b5c8", + "metadata": {}, + "source": [ + "### Modular" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "8a2c8f03", + "metadata": {}, + "outputs": [], + "source": [ + "coilset = surface_current_field.to_CoilSet(num_coils=6, stell_sym=True)\n", + "# num_coils is the number of coils per (half) field period when the surface current helicity's N_coil is zero (half period if stell_sym=True), so we\n", + "# will get 6*2*NFP = 24 coils total" + ] + }, + { + "cell_type": "markdown", + "id": "5777eb30-b521-4012-b69a-b25f07c490b1", + "metadata": {}, + "source": [ + "We can compute the normal field error with the coilset now, we see it has increased from before since there is some discretization error from representing the continuous surface current with a discrete number of coils. Typically an average normal field error of about 1 percent (when normalized by the equilibrium field strength) is desired, and this coilset still achieves that target field error." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "bec12bd7-d442-4355-8acb-30284c98c16e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Bn calc took 7.047e+00 seconds\n", + "normalized average = 0.0035332001444679205\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import time\n", + "\n", + "t1 = time.time()\n", + "grid = LinearGrid(M=80, N=80, NFP=eq.NFP)\n", + "Bn, _ = coilset.compute_Bnormal(eq.surface, eval_grid=grid)\n", + "print(f\"Bn calc took {time.time()-t1:1.3e} seconds\")\n", + "plt.figure()\n", + "plt.contourf(\n", + " grid.nodes[grid.unique_zeta_idx, 2],\n", + " grid.nodes[grid.unique_theta_idx, 1],\n", + " Bn.reshape((grid.num_zeta, grid.num_theta)).T,\n", + ")\n", + "plt.title(\"DESC Bnormal (Coils)\")\n", + "plt.xlabel(r\"$\\zeta$\")\n", + "plt.ylabel(r\"$\\theta$\")\n", + "\n", + "plt.colorbar()\n", + "\n", + "print(\n", + " f\"normalized average = {np.mean(np.abs(Bn) / eq.compute('|B|',grid=grid)['|B|'])}\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "b53b5c58", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Bn calc took 1.311e+00 seconds\n", + "normalized average = 0.0035334845747517106\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import time\n", + "\n", + "grid = LinearGrid(M=80, N=80, NFP=eq.NFP)\n", + "coilset = coilset.to_FourierXYZ(\n", + " N=50\n", + ") # converting to a Fourier series will make the calculations more efficient\n", + "t1 = time.time()\n", + "Bn, _ = coilset.compute_Bnormal(eq.surface, eval_grid=grid)\n", + "print(f\"Bn calc took {time.time()-t1:1.3e} seconds\")\n", + "plt.figure()\n", + "plt.contourf(\n", + " grid.nodes[grid.unique_zeta_idx, 2],\n", + " grid.nodes[grid.unique_theta_idx, 1],\n", + " Bn.reshape((grid.num_zeta, grid.num_theta)).T,\n", + ")\n", + "plt.title(\"DESC Bnormal (Coils)\")\n", + "plt.xlabel(r\"$\\zeta$\")\n", + "plt.ylabel(r\"$\\theta$\")\n", + "\n", + "plt.colorbar()\n", + "\n", + "print(\n", + " f\"normalized average = {np.mean(np.abs(Bn) / eq.compute('|B|',grid=grid)['|B|'])}\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "85e530b2", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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"output_type": "display_data" + } + ], + "source": [ + "# visualize by plotting coils\n", + "fig = plot_3d(\n", + " eq.surface, \"B*n\", grid=LinearGrid(M=40, N=30, endpoint=True), field=coilset\n", + ")\n", + "fig = plot_coils(coilset, fig=fig)\n", + "fig.show()" + ] + }, + { + "cell_type": "markdown", + "id": "844a871b-ae84-4e12-9c12-7067bf39d9d3", + "metadata": {}, + "source": [ + "### Helical" + ] + }, + { + "cell_type": "markdown", + "id": "d295b535-87e4-49fc-b81f-15ac645be3c8", + "metadata": {}, + "source": [ + "Helical coil cutting is just as easy as modular, with the same exact function call:" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "a42789ec-94e3-416d-9ee1-d7197d87fa12", + "metadata": {}, + "outputs": [], + "source": [ + "coilset_helical = surface_current_field_helical.to_CoilSet(\n", + " num_coils=16, show_plots=False\n", + ")\n", + "# num_coils is the total number of coils when the surface current helicity's N_coil and M_coil are nonzero, so we\n", + "# will get 16 coils total" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "390a0e08-4a55-463c-8d63-1c572ed891c8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Bn calc took 7.365e+00 seconds\n", + "normalized average = 0.0004804562855409851\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import time\n", + "\n", + "t1 = time.time()\n", + "Bn, _ = coilset_helical.compute_Bnormal(eq.surface, eval_grid=grid)\n", + "print(f\"Bn calc took {time.time()-t1:1.3e} seconds\")\n", + "plt.figure()\n", + "plt.contourf(\n", + " grid.nodes[grid.unique_zeta_idx, 2],\n", + " grid.nodes[grid.unique_theta_idx, 1],\n", + " Bn.reshape((grid.num_zeta, grid.num_theta)).T,\n", + ")\n", + "plt.title(\"DESC Bnormal (Coils)\")\n", + "plt.xlabel(r\"$\\zeta$\")\n", + "plt.ylabel(r\"$\\theta$\")\n", + "\n", + "plt.colorbar()\n", + "print(\n", + " f\"normalized average = {np.mean(np.abs(Bn) / eq.compute('|B|',grid=grid)['|B|'])}\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "58ee5a69", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Bn calc took 5.018e-01 seconds\n", + "normalized average = 0.0004847153666947152\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import time\n", + "\n", + "coilset_helical = coilset_helical.to_FourierXYZ(N=35)\n", + "t1 = time.time()\n", + "Bn, _ = coilset_helical.compute_Bnormal(eq.surface, eval_grid=grid)\n", + "print(f\"Bn calc took {time.time()-t1:1.3e} seconds\")\n", + "plt.figure()\n", + "plt.contourf(\n", + " grid.nodes[grid.unique_zeta_idx, 2],\n", + " grid.nodes[grid.unique_theta_idx, 1],\n", + " Bn.reshape((grid.num_zeta, grid.num_theta)).T,\n", + ")\n", + "plt.title(\"DESC Bnormal (Coils)\")\n", + "plt.xlabel(r\"$\\zeta$\")\n", + "plt.ylabel(r\"$\\theta$\")\n", + "\n", + "plt.colorbar()\n", + "print(\n", + " f\"normalized average = {np.mean(np.abs(Bn) / eq.compute('|B|',grid=grid)['|B|'])}\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "3409826f-6175-4d1e-b2ae-7c34d35c8fb0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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+ ")\n", + "\n", + "fig = plot_coils(coilset_helical, fig=fig)\n", + "fig.show()" + ] + }, + { + "cell_type": "markdown", + "id": "372abf7b-cdc8-4fbb-b9fc-8b870e17b4e6", + "metadata": {}, + "source": [ + "These coils can then be used as the initial guesses for a filamentary coil optimization (see the tutorial on stage two filamentery coil optimization!) to refine the solution and reduce the Bn error further, as well as accounting for engineering tolerances. " + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "desc-env-latest", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/requirements.txt b/requirements.txt index 84983d76e..663c76602 100644 --- a/requirements.txt +++ b/requirements.txt @@ -12,5 +12,6 @@ orthax plotly >= 5.16, < 6.0 psutil pylatexenc >= 2.0, < 3.0 +scikit-image scipy >= 1.7.0 termcolor diff --git a/requirements_conda.yml b/requirements_conda.yml index 4c5af7f35..4183c2393 100644 --- a/requirements_conda.yml +++ b/requirements_conda.yml @@ -21,3 +21,4 @@ dependencies: - orthax - plotly >= 5.16, < 6.0 - pylatexenc >= 2.0, < 3.0 + - scikit-image diff --git a/setup.cfg b/setup.cfg index c0896a6db..ec603ef1f 100644 --- a/setup.cfg +++ b/setup.cfg @@ -48,6 +48,8 @@ markers= filterwarnings= error ignore::pytest.PytestUnraisableExceptionWarning + # Ignore division by inf warning when trust radius is set to infinite + ignore:invalid value encountered in scalar divide:RuntimeWarning:desc.optimize # ignore benign Cython warnings on ndarray size ignore:numpy.ndarray size changed:RuntimeWarning # ignore DeprecationWarnings from dependency packages diff --git a/tests/baseline/test_fourier_current_potential_field_modular_coil_cut.png b/tests/baseline/test_fourier_current_potential_field_modular_coil_cut.png new file mode 100644 index 000000000..2ca153b77 Binary files /dev/null and b/tests/baseline/test_fourier_current_potential_field_modular_coil_cut.png differ diff --git a/tests/conftest.py b/tests/conftest.py index 54e60554d..450132b54 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -4,6 +4,7 @@ import h5py import jax +import matplotlib.pyplot as plt import numpy as np import pytest from netCDF4 import Dataset @@ -21,8 +22,15 @@ from desc.equilibrium import EquilibriaFamily, Equilibrium from desc.examples import get from desc.grid import LinearGrid +from desc.magnetic_fields import ( + FourierCurrentPotentialField, + ToroidalMagneticField, + solve_regularized_surface_current, +) from desc.vmec import VMECIO +plt.rcParams.update({"figure.max_open_warning": 0}) + @pytest.fixture(scope="class", autouse=True) def clear_caches_before(): @@ -337,6 +345,146 @@ def VMEC_save(SOLOVEV, tmpdir_factory): return vmec, desc +@pytest.fixture(scope="session") +def regcoil_helical_coils_scan(): + """Run regcoil for precise eq and surface, scan over lambda_regularization.""" + eq = get("precise_QA") + surf_winding = eq.surface.constant_offset_surface( + offset=0.2, # desired offset + M=16, # Poloidal resolution of desired offset surface + N=12, # Toroidal resolution of desired offset surface + grid=LinearGrid(M=32, N=16, NFP=eq.NFP), + ) + surface_current_field = FourierCurrentPotentialField.from_surface( + surf_winding, M_Phi=8, N_Phi=8 + ) + fields, data = solve_regularized_surface_current( + surface_current_field, + eq, + eval_grid=LinearGrid(M=20, N=20, NFP=eq.NFP, sym=True), + source_grid=LinearGrid(M=40, N=40, NFP=eq.NFP), + lambda_regularization=np.append(np.array([0.0]), np.logspace(-30, -1, 5)), + current_helicity=(1 * eq.NFP, -1), + vacuum=True, + regularization_type="regcoil", + ) + surface_current_field = fields[0] + return (data, surface_current_field, eq) + + +@pytest.fixture(scope="session") +def regcoil_modular_coils(): + """Run regcoil for precise QA eq and surface with modular coils.""" + eq = get("precise_QA") + surf_winding = eq.surface.constant_offset_surface( + offset=0.2, # desired offset + M=16, # Poloidal resolution of desired offset surface + N=12, # Toroidal resolution of desired offset surface + grid=LinearGrid(M=32, N=16, NFP=eq.NFP), + ) + M_Phi = 10 + N_Phi = 10 + M_egrid = 20 + N_egrid = 20 + M_sgrid = 40 + N_sgrid = 40 + lambda_regularization = 1e-18 + + surface_current_field = FourierCurrentPotentialField.from_surface( + surf_winding, M_Phi=M_Phi, N_Phi=N_Phi + ) + surface_current_field, data = solve_regularized_surface_current( + surface_current_field, + eq, + eval_grid=LinearGrid(M=M_egrid, N=N_egrid, NFP=eq.NFP, sym=True), + source_grid=LinearGrid(M=M_sgrid, N=N_sgrid, NFP=eq.NFP), + lambda_regularization=lambda_regularization, + regularization_type="regcoil", + vacuum=True, + ) + surface_current_field = surface_current_field[0] + + return (data, surface_current_field, eq) + + +@pytest.fixture(scope="session") +def regcoil_windowpane_coils(): + """Run regcoil for precise QA eq and surface with windowpane coils.""" + eq = get("precise_QA") + surf_winding = eq.surface.constant_offset_surface( + offset=0.2, # desired offset + M=16, # Poloidal resolution of desired offset surface + N=12, # Toroidal resolution of desired offset surface + grid=LinearGrid(M=32, N=16, NFP=eq.NFP), + ) + M_Phi = 10 + N_Phi = 10 + M_egrid = 20 + N_egrid = 20 + M_sgrid = 20 + N_sgrid = 20 + lambda_regularization = 1e-18 + + surface_current_field = FourierCurrentPotentialField.from_surface( + surf_winding, M_Phi=M_Phi, N_Phi=N_Phi, sym_Phi="sin" + ) + # provide necessary toroidal flux with a TF field + G = eq.compute("G")["G"][-1] + surface_current_field, data = solve_regularized_surface_current( + surface_current_field, + eq, + eval_grid=LinearGrid(M=M_egrid, N=N_egrid, NFP=eq.NFP, sym=True), + source_grid=LinearGrid(M=M_sgrid, N=N_sgrid, NFP=eq.NFP), + lambda_regularization=lambda_regularization, + regularization_type="regcoil", + vacuum=True, + current_helicity=(0, 0), + external_field=ToroidalMagneticField(B0=G, R0=1), + ) + surface_current_field = surface_current_field[0] + + return (data, surface_current_field, eq) + + +@pytest.fixture(scope="session") +def regcoil_PF_coils(): + """Run regcoil for precise QA eq and surface with PF coils.""" + eq = get("precise_QA") + surf_winding = eq.surface.constant_offset_surface( + offset=0.2, # desired offset + M=16, # Poloidal resolution of desired offset surface + N=12, # Toroidal resolution of desired offset surface + grid=LinearGrid(M=32, N=16, NFP=eq.NFP), + ) + M_Phi = 10 + N_Phi = 10 + M_egrid = 20 + N_egrid = 20 + M_sgrid = 30 + N_sgrid = 30 + lambda_regularization = 1e-24 + + surface_current_field = FourierCurrentPotentialField.from_surface( + surf_winding, M_Phi=M_Phi, N_Phi=N_Phi, sym_Phi="sin" + ) + # provide necessary toroidal flux with a TF field + G = eq.compute("G")["G"][-1] + surface_current_field, data = solve_regularized_surface_current( + surface_current_field, + eq, + eval_grid=LinearGrid(M=M_egrid, N=N_egrid, NFP=eq.NFP, sym=True), + source_grid=LinearGrid(M=M_sgrid, N=N_sgrid, NFP=eq.NFP), + lambda_regularization=lambda_regularization, + regularization_type="regcoil", + vacuum=True, + current_helicity=(0, 1), + external_field=ToroidalMagneticField(B0=G, R0=1), + ) + surface_current_field = surface_current_field[0] + + return (data, surface_current_field, eq) + + @pytest.fixture(scope="session") def VMEC_save_asym(tmpdir_factory): """Save an asymmetric equilibrium in VMEC netcdf format for comparison.""" diff --git a/tests/test_examples.py b/tests/test_examples.py index 839c685de..dbb791894 100644 --- a/tests/test_examples.py +++ b/tests/test_examples.py @@ -8,6 +8,7 @@ import pytest from qic import Qic from qsc import Qsc +from scipy.constants import mu_0 from desc.backend import jnp, tree_leaves from desc.coils import ( @@ -25,10 +26,12 @@ from desc.grid import LinearGrid from desc.io import load from desc.magnetic_fields import ( + FourierCurrentPotentialField, OmnigenousField, SplineMagneticField, ToroidalMagneticField, VerticalMagneticField, + solve_regularized_surface_current, ) from desc.objectives import ( AspectRatio, @@ -64,6 +67,7 @@ QuadraticFlux, QuasisymmetryBoozer, QuasisymmetryTwoTerm, + SurfaceCurrentRegularization, VacuumBoundaryError, Volume, get_fixed_boundary_constraints, @@ -1207,6 +1211,250 @@ def test_example_get_current(self): ) +@pytest.mark.regression +@pytest.mark.solve +@pytest.mark.slow +def test_regcoil_axisymmetric(): + """Test axisymmetric regcoil solution.""" + # make a simple axisymmetric vacuum equilibrium + eq = load("./tests/inputs/vacuum_circular_tokamak.h5") + # no phi_SV is needed since it is axisymmetric, + # so phi_mn should be zero when running with simple regularization + # especially with a nonzero lambda_regularization + surf_winding = FourierRZToroidalSurface.constant_offset_surface(eq.surface, 2) + + surface_current_field = FourierCurrentPotentialField.from_surface( + surf_winding, M_Phi=1, N_Phi=1, sym_Phi="sin" + ) + surface_current_field, data = solve_regularized_surface_current( + surface_current_field, + eq, + lambda_regularization=1e-30, # little regularization to avoid singular matrix + vacuum=True, + verbose=2, + regularization_type="regcoil", + ) + # is a list of length one, index into it + surface_current_field = surface_current_field[0] + chi_B = data["chi^2_B"][0] + phi_mn_opt = surface_current_field.Phi_mn + G = surface_current_field.G + np.testing.assert_allclose(phi_mn_opt, 0, atol=1e-6) + np.testing.assert_allclose(chi_B, 0, atol=1e-10) + coords = eq.compute(["R", "phi", "Z", "B"]) + B = coords["B"] + coords = np.vstack([coords["R"], coords["phi"], coords["Z"]]).T + B_from_surf = surface_current_field.compute_magnetic_field( + coords, source_grid=LinearGrid(M=200, N=200, NFP=surf_winding.NFP) + ) + np.testing.assert_allclose(B, B_from_surf, rtol=1e-4, atol=1e-8) + + grid = LinearGrid(N=10, M=10, NFP=surface_current_field.NFP) + correct_phi = G * grid.nodes[:, 2] / 2 / np.pi + np.testing.assert_allclose( + surface_current_field.compute("Phi", grid=grid)["Phi"], correct_phi, atol=5e-9 + ) + surface_current_field.change_Phi_resolution(M=2, N=2) + # test with lambda_regularization large, should have no phi_mn + surface_current_field, data = solve_regularized_surface_current( + surface_current_field, + eq=eq, + eval_grid=LinearGrid(M=10, N=10, NFP=eq.NFP, sym=eq.sym), + source_grid=LinearGrid(M=40, N=40, NFP=eq.NFP), + lambda_regularization=1e4, + vacuum=True, + regularization_type="simple", + ) + surface_current_field = surface_current_field[0] + phi_mn_opt = surface_current_field.Phi_mn + np.testing.assert_allclose(phi_mn_opt, 0, atol=1e-16) + np.testing.assert_allclose(data["chi^2_B"][0], 0, atol=1e-10) + np.testing.assert_allclose( + surface_current_field.compute("Phi", grid=grid)["Phi"], correct_phi, atol=1e-16 + ) + B_from_surf = surface_current_field.compute_magnetic_field( + coords, source_grid=LinearGrid(M=200, N=200, NFP=surf_winding.NFP) + ) + np.testing.assert_allclose(B, B_from_surf, rtol=1e-4, atol=1e-8) + + # test with half the current given external to winding surface + surface_current_field, data = solve_regularized_surface_current( + surface_current_field, + eq=eq, + eval_grid=LinearGrid(M=10, N=10, NFP=eq.NFP, sym=eq.sym), + source_grid=LinearGrid(M=40, N=80, NFP=eq.NFP), + lambda_regularization=1e4, + # negate the B0 because a negative G corresponds to a positive B toroidal + # and we want this to provide half the field the surface current's + # G is providing, in the same direction + external_field=ToroidalMagneticField(B0=-mu_0 * (G / 2) / 2 / np.pi, R0=1), + vacuum=True, + ) + surface_current_field = surface_current_field[0] + phi_mn_opt = surface_current_field.Phi_mn + np.testing.assert_allclose(G / 2, surface_current_field.G, atol=1e-8) + np.testing.assert_allclose(phi_mn_opt, 0, atol=1e-9) + np.testing.assert_allclose( + surface_current_field.compute("Phi", grid=grid)["Phi"], + correct_phi / 2, + atol=1e-9, + ) + np.testing.assert_allclose(data["chi^2_B"][0], 0, atol=1e-11) + B_from_surf = surface_current_field.compute_magnetic_field( + coords, source_grid=LinearGrid(M=200, N=200, NFP=surf_winding.NFP) + ) + np.testing.assert_allclose(B, B_from_surf * 2, rtol=1e-4, atol=1e-8) + + +@pytest.mark.regression +@pytest.mark.solve +@pytest.mark.slow +def test_regcoil_modular_check_B(regcoil_modular_coils): + """Test precise QA modular (helicity=(1,0)) regcoil solution.""" + ( + data, + initial_surface_current_field, + eq, + ) = regcoil_modular_coils + chi_B = data["chi^2_B"][0] + surface_current_field = initial_surface_current_field.copy() + + np.testing.assert_array_less(chi_B, 1e-6) + coords = eq.compute(["R", "phi", "Z", "B"], grid=LinearGrid(M=20, N=20, NFP=eq.NFP)) + B = coords["B"] + coords = np.vstack([coords["R"], coords["phi"], coords["Z"]]).T + B_from_surf = surface_current_field.compute_magnetic_field( + coords, + source_grid=LinearGrid(M=60, N=60, NFP=surface_current_field.NFP), + basis="rpz", + ) + np.testing.assert_allclose(B, B_from_surf, rtol=5e-2, atol=5e-4) + + +@pytest.mark.regression +@pytest.mark.solve +@pytest.mark.slow +def test_regcoil_windowpane_check_B(regcoil_windowpane_coils): + """Test precise QA windowpane (helicity=(0,0)) regcoil solution.""" + ( + data, + surface_current_field, + eq, + ) = regcoil_windowpane_coils + assert surface_current_field.I == 0 + assert surface_current_field.G == 0 + + chi_B = data["chi^2_B"][0] + np.testing.assert_array_less(chi_B, 1e-7) + coords = eq.compute(["R", "phi", "Z", "B"], grid=data["eval_grid"]) + B = coords["B"] + coords = np.vstack([coords["R"], coords["phi"], coords["Z"]]).T + field = surface_current_field + data["external_field"] + B_from_surf = field.compute_magnetic_field( + coords, + source_grid=data["source_grid"], + basis="rpz", + ) + np.testing.assert_allclose(B, B_from_surf, rtol=1e-2, atol=5e-4) + + +@pytest.mark.regression +@pytest.mark.solve +@pytest.mark.slow +def test_regcoil_PF_check_B(regcoil_PF_coils): + """Test precise QA PF (helicity=(0,2)) regcoil solution.""" + (data, surface_current_field, eq) = regcoil_PF_coils + assert surface_current_field.G == 0 + assert abs(surface_current_field.I) > 0 + chi_B = data["chi^2_B"][0] + np.testing.assert_array_less(chi_B, 1e-5) + coords = eq.compute(["R", "phi", "Z", "B"], grid=data["eval_grid"]) + B = coords["B"] + coords = np.vstack([coords["R"], coords["phi"], coords["Z"]]).T + field = surface_current_field + data["external_field"] + B_from_surf = field.compute_magnetic_field( + coords, + source_grid=data["source_grid"], + basis="rpz", + ) + np.testing.assert_allclose(B, B_from_surf, rtol=4e-2, atol=5e-4) + + +@pytest.mark.regression +@pytest.mark.solve +@pytest.mark.slow +def test_regcoil_helical_coils_check_objective_method( + regcoil_helical_coils_scan, +): + """Test precise QA helical coil regcoil solution.""" + (data, initial_surface_current_field, eq) = regcoil_helical_coils_scan + lam_index = 1 + lam = data["lambda_regularization"][lam_index] + initial_surface_current_field.Phi_mn = data["Phi_mn"][lam_index] + surface_current_field = initial_surface_current_field.copy() + + # reset the Phi_mn + surface_current_field.Phi_mn = surface_current_field.Phi_mn.at[:].set(0.0) + constraints = ( # now fix all but Phi_mn + FixParameters( + surface_current_field, + params={"I": True, "G": True, "R_lmn": True, "Z_lmn": True}, + ), + ) + eval_grid = data["eval_grid"] + sgrid = data["source_grid"] + + obj = QuadraticFlux( + field=surface_current_field, + eq=eq, + eval_grid=eval_grid, + field_grid=sgrid, + vacuum=True, + ) + + objective = ObjectiveFunction( + ( + obj, + SurfaceCurrentRegularization( + surface_current_field=surface_current_field, + weight=np.sqrt(lam), + source_grid=sgrid, + ), + ), + use_jit=False, + ) + + optimizer = Optimizer("lsq-exact") + + (surface_current_field,), _ = optimizer.optimize( + (surface_current_field,), + objective, + constraints, + verbose=1, + maxiter=1, + ftol=0, + gtol=0, + xtol=1e-16, + options={"initial_trust_radius": np.inf, "tr_method": "cho"}, + ) + + coords = eq.compute(["R", "phi", "Z", "B"]) + B = coords["B"] + coords = np.vstack([coords["R"], coords["phi"], coords["Z"]]).T + B_from_surf = surface_current_field.compute_magnetic_field( + coords, + source_grid=sgrid, + basis="rpz", + ) + B_from_orig_surf = initial_surface_current_field.compute_magnetic_field( + coords, + source_grid=sgrid, + basis="rpz", + ) + np.testing.assert_allclose(B, B_from_surf, atol=6e-4, rtol=5e-2) + np.testing.assert_allclose(B_from_orig_surf, B_from_surf, atol=1e-8, rtol=1e-8) + + @pytest.mark.unit def test_quadratic_flux_optimization_with_analytic_field(): """Test analytic field optimization to reduce quadratic flux. @@ -1262,6 +1510,8 @@ def test_second_stage_optimization(): constraints=constraints, ftol=0, xtol=0, + gtol=0, + maxiter=100, verbose=2, ) np.testing.assert_allclose(field[0].R0, 3.5) # this value was fixed diff --git a/tests/test_magnetic_fields.py b/tests/test_magnetic_fields.py index b5f36dc8f..6484615bc 100644 --- a/tests/test_magnetic_fields.py +++ b/tests/test_magnetic_fields.py @@ -1,5 +1,6 @@ """Tests for magnetic field classes.""" +import matplotlib.pyplot as plt import numpy as np import pytest from diffrax import Dopri5 @@ -28,6 +29,7 @@ VerticalMagneticField, field_line_integrate, read_BNORM_file, + solve_regularized_surface_current, ) from desc.magnetic_fields._dommaschk import CD_m_k, CN_m_k from desc.utils import dot @@ -557,6 +559,123 @@ def test_fourier_current_potential_field(self): atol=1e-16, ) + @pytest.mark.unit + @pytest.mark.mpl_image_compare(remove_text=True, tolerance=10) + def test_fourier_current_potential_field_modular_coil_cut(self): + """Test Fourier current potential coil cut against analytic solenoid.""" + surface = FourierRZToroidalSurface( + R_lmn=jnp.array([20, 3]), + Z_lmn=jnp.array([0, -3]), + modes_R=jnp.array([[0, 0], [1, 0]]), + modes_Z=jnp.array([[0, 0], [-1, 0]]), + NFP=5, + ) + # make a current potential corresponding a purely poloidal current + G = 1e4 # net poloidal current + correct_field = lambda R, phi, Z: jnp.array([[0, mu_0 * G / 2 / jnp.pi / R, 0]]) + + field = FourierCurrentPotentialField( + I=0, + G=-G, + sym_Phi="sin", + R_lmn=surface.R_lmn, + Z_lmn=surface.Z_lmn, + modes_R=surface._R_basis.modes[:, 1:], + modes_Z=surface._Z_basis.modes[:, 1:], + NFP=surface.NFP, + ) + coils = field.to_CoilSet(10, stell_sym=True, show_plots=True).to_FourierXYZ( + N=2, grid=LinearGrid(N=8), check_intersection=False + ) + + np.testing.assert_allclose( + coils.compute_magnetic_field( + [20.0, 0, 0], + ), + correct_field(20.0, 0, 0), + atol=1e-8, + rtol=1e-8, + ) + np.testing.assert_allclose( + coils.compute_magnetic_field([20.0, np.pi / 4, 0]), + correct_field(20.0, np.pi / 4, 0), + atol=1e-8, + rtol=1e-8, + ) + return plt.gcf() + + @pytest.mark.unit + def test_fourier_current_potential_field_helical_coil_cut(self): + """Test Fourier current potential helix coil cut against analytic solenoid.""" + surface = FourierRZToroidalSurface( + R_lmn=jnp.array([20, 3]), + Z_lmn=jnp.array([0, -3]), + modes_R=jnp.array([[0, 0], [1, 0]]), + modes_Z=jnp.array([[0, 0], [-1, 0]]), + NFP=10, + ) + # make a current potential corresponding a helical current + # with a sharp pitch (approximating a toroidal solenoid) + G = 2e2 # net poloidal current + I = 1 + correct_field = lambda R, phi, Z: jnp.array([[0, mu_0 * G / 2 / jnp.pi / R, 0]]) + + field = FourierCurrentPotentialField( + I=I, + G=-G, + sym_Phi="sin", + R_lmn=surface.R_lmn, + Z_lmn=surface.Z_lmn, + modes_R=surface._R_basis.modes[:, 1:], + modes_Z=surface._Z_basis.modes[:, 1:], + NFP=10, + ) + + coils = field.to_CoilSet(1) + + np.testing.assert_allclose( + coils.compute_magnetic_field([20.0, 0, 0], source_grid=LinearGrid(N=700)), + correct_field(20.0, 0, 0), + atol=2e-8, + rtol=1e-8, + ) + np.testing.assert_allclose( + coils.compute_magnetic_field( + [20.0, np.pi / 4, 0], source_grid=LinearGrid(N=700) + ), + correct_field(20.0, np.pi / 4, 0), + atol=2e-8, + rtol=1e-8, + ) + # check with opposite helicity current + field = FourierCurrentPotentialField( + I=I, + G=G, + sym_Phi="sin", + R_lmn=surface.R_lmn, + Z_lmn=surface.Z_lmn, + modes_R=surface._R_basis.modes[:, 1:], + modes_Z=surface._Z_basis.modes[:, 1:], + NFP=10, + ) + + coils = field.to_CoilSet(1) + + np.testing.assert_allclose( + -coils.compute_magnetic_field([20.0, 0, 0], source_grid=LinearGrid(N=700)), + correct_field(20.0, 0, 0), + atol=2e-8, + rtol=1e-8, + ) + np.testing.assert_allclose( + -coils.compute_magnetic_field( + [20.0, np.pi / 4, 0], source_grid=LinearGrid(N=700) + ), + correct_field(20.0, np.pi / 4, 0), + atol=2e-8, + rtol=1e-8, + ) + @pytest.mark.unit def test_fourier_current_potential_vector_potential(self): """Test Fourier current potential vector potential against analytic result.""" @@ -901,6 +1020,27 @@ def test_init_Phi_mn_fourier_current_field(self): # ensure can compute field at a point without incompatible size error field.compute_magnetic_field([10.0, 0, 0]) + @pytest.mark.unit + def test_fourier_current_potential_field_coil_cut_warnings(self): + """Test Fourier current potential coil cut method warning.""" + curr = 1e4 + # with this choice of Phi_mn, the constant Phi contours + # move so much that they intersect the boundaries of where we + # plot them, that should return a warning + # TODO: When we switch from the visual coil cutting method, remove this + field = FourierCurrentPotentialField( + I=curr, + G=curr, + Phi_mn=np.array([-4 * curr / 13]), + modes_Phi=np.array([[-1, 0]]), + ) + + with pytest.warns( + UserWarning, + match="Detected", + ): + field.to_CoilSet(2) + @pytest.mark.slow @pytest.mark.unit def test_spline_field(self, tmpdir_factory): @@ -1244,6 +1384,44 @@ def test_omnigenous_field_change_resolution_B(self): np.testing.assert_allclose(B_half_lowres, B_half_highres, rtol=3e-3) np.testing.assert_allclose(B_lcfs_lowres, B_lcfs_highres, rtol=4e-3) + @pytest.mark.unit + def test_solve_current_potential_warnings_and_errors(self): + """Test solve current potential warnings/errors.""" + field = FourierCurrentPotentialField(I=0, G=1, sym_Phi="sin") + eq = get("SOLOVEV") + with pytest.warns(UserWarning, match="Reducing radial"): + eq.change_resolution(L=1, M=1, N=1, L_grid=1, M_grid=1, N_grid=1) + with pytest.raises(ValueError, match="length"): + solve_regularized_surface_current(field, eq, current_helicity=(1, 1, 1)) + with pytest.raises(ValueError, match="integer"): + solve_regularized_surface_current(field, eq, current_helicity=(1.2, 1)) + with pytest.raises(ValueError, match="regularization"): + solve_regularized_surface_current( + field, eq, regularization_type="not a valid option" + ) + with pytest.raises(ValueError, match="Expected Fourier"): + solve_regularized_surface_current(ToroidalMagneticField(1, 1), eq) + with pytest.raises(AssertionError, match="Expected MagneticField"): + solve_regularized_surface_current(field, eq, external_field=eq) + field = FourierCurrentPotentialField(I=0, G=1, sym_Phi="cos") + grid = LinearGrid(M=1, N=1) + # nested with pytest.warns, if a warning is not detected it is + # re-emitted and goes through the higher level context, + # this lets us test 3 different warnings with one fxn + # call here + with pytest.warns(UserWarning, match="Detected"): + with pytest.warns(UserWarning, match="Pressure"): + with pytest.warns(UserWarning, match="Current"): + solve_regularized_surface_current( + field, + eq, + eval_grid=grid, + source_grid=grid, + vc_source_grid=grid, + verbose=0, + vacuum=True, + ) + @pytest.mark.unit def test_dommaschk_CN_CD_m_0(): diff --git a/tests/test_objective_funs.py b/tests/test_objective_funs.py index b5c56cf5c..2c2abdf4a 100644 --- a/tests/test_objective_funs.py +++ b/tests/test_objective_funs.py @@ -28,6 +28,7 @@ from desc.grid import ConcentricGrid, LinearGrid, QuadratureGrid from desc.io import load from desc.magnetic_fields import ( + CurrentPotentialField, FourierCurrentPotentialField, OmnigenousField, PoloidalMagneticField, @@ -73,6 +74,7 @@ QuasisymmetryTwoTerm, RotationalTransform, Shear, + SurfaceCurrentRegularization, ToroidalCurrent, ToroidalFlux, VacuumBoundaryError, @@ -1164,13 +1166,13 @@ def test_quadratic_flux(self): obj = QuadraticFlux(eq, t_field, eval_grid=eval_grid, source_grid=source_grid) Bnorm = t_field.compute_Bnormal( - eq.surface, eval_grid=eval_grid, source_grid=source_grid + eq, eval_grid=eval_grid, source_grid=source_grid )[0] obj.build(eq) dA = eq.compute("|e_theta x e_zeta|", grid=eval_grid)["|e_theta x e_zeta|"] - f = obj.compute(field_params=t_field.params_dict) + f = obj.compute_unscaled(t_field.params_dict) - np.testing.assert_allclose(f, Bnorm * dA, atol=2e-4, rtol=1e-2) + np.testing.assert_allclose(f, Bnorm * np.sqrt(dA), atol=2e-4, rtol=1e-2) # equilibrium that has B_plasma == 0 eq = load("./tests/inputs/vacuum_nonaxisym.h5") @@ -1188,7 +1190,7 @@ def test_quadratic_flux(self): f = obj.compute(field_params=t_field.params_dict) dA = eq.compute("|e_theta x e_zeta|", grid=eval_grid)["|e_theta x e_zeta|"] # check that they're the same since we set B_plasma = 0 - np.testing.assert_allclose(f, Bnorm * dA, atol=1e-14) + np.testing.assert_allclose(f, Bnorm * np.sqrt(dA), atol=1e-14) @pytest.mark.unit def test_toroidal_flux(self): @@ -1326,7 +1328,6 @@ def test_signed_plasma_vessel_distance(self): assert obj.dim_f == d.size assert abs(d.max() - (-a_s)) < 1e-14 assert abs(d.min() - (-a_s)) < grid.spacing[0, 1] * a_s - # test errors # differing grid zetas, same num_zeta with pytest.raises(ValueError): @@ -1349,6 +1350,59 @@ def test_signed_plasma_vessel_distance(self): ) obj.build() + @pytest.mark.unit + def test_surface_current_regularization(self): + """Test SurfaceCurrentRegularization Calculation.""" + + def test(field, grid): + obj = SurfaceCurrentRegularization(field, source_grid=grid) + obj.build() + return obj.compute(field.params_dict) + + field1 = FourierCurrentPotentialField( + I=0, G=10, NFP=10, Phi_mn=[[0]], modes_Phi=[[2, 2]] + ) + grid = LinearGrid(M=5, N=5, NFP=field1.NFP) + result1 = test(field1, grid) + result2 = test(field1, grid=None) + + # test with CurrentPotentialField + surface = FourierRZToroidalSurface( + R_lmn=jnp.array([10, 1]), + Z_lmn=jnp.array([0, -1]), + modes_R=jnp.array([[0, 0], [1, 0]]), + modes_Z=jnp.array([[0, 0], [-1, 0]]), + NFP=10, + ) + surface.change_resolution(M=field1._M_Phi, N=field1._N_Phi) + # make a current potential corresponding a purely poloidal current + G = 10 # net poloidal current + potential = lambda theta, zeta, G: G * zeta / 2 / jnp.pi + potential_dtheta = lambda theta, zeta, G: jnp.zeros_like(theta) + potential_dzeta = lambda theta, zeta, G: G * jnp.ones_like(theta) / 2 / jnp.pi + + params = {"G": -G} + + field2 = CurrentPotentialField( + potential, + R_lmn=surface.R_lmn, + Z_lmn=surface.Z_lmn, + modes_R=surface._R_basis.modes[:, 1:], + modes_Z=surface._Z_basis.modes[:, 1:], + params=params, + potential_dtheta=potential_dtheta, + potential_dzeta=potential_dzeta, + NFP=surface.NFP, + ) + result3 = test(field2, grid) + result4 = test(field2, grid=None) + field1.G = 2 * field1.G + result5 = test(field1, grid) + + np.testing.assert_allclose(result1, result3) + np.testing.assert_allclose(result1 * 2, result5) + np.testing.assert_allclose(result2, result4) + @pytest.mark.regression def test_derivative_modes(): @@ -2327,6 +2381,7 @@ class TestComputeScalarResolution: PlasmaVesselDistance, QuadraticFlux, ToroidalFlux, + SurfaceCurrentRegularization, VacuumBoundaryError, # need to avoid blowup near the axis MercierStability, @@ -2545,6 +2600,24 @@ def test_compute_scalar_resolution_toroidal_flux_B(self): f[i] = obj.compute_scalar(obj.x()) np.testing.assert_allclose(f, f[-1], rtol=5e-2) + @pytest.mark.regression + def test_compute_scalar_resolution_surface_current_reg(self): + """SurfaceCurrentRegularization.""" + field = FourierCurrentPotentialField( + I=1, G=1, Phi_mn=np.array([1, 1]), modes_Phi=np.array([[1, 1], [4, 4]]) + ) + M0 = 5 + N0 = 5 + f = np.zeros_like(self.res_array, dtype=float) + for i, res in enumerate(self.res_array): + grid = LinearGrid(M=round(M0 * res), N=round(N0 * res)) + obj = ObjectiveFunction( + SurfaceCurrentRegularization(field, source_grid=grid), use_jit=False + ) + obj.build(verbose=0) + f[i] = obj.compute_scalar(obj.x()) + np.testing.assert_allclose(f, f[-1], rtol=5e-2) + @pytest.mark.regression def test_compute_scalar_resolution_generic_scalar(self): """Generic objective with scalar qty.""" @@ -2734,6 +2807,7 @@ class TestObjectiveNaNGrad: PlasmaCoilSetMinDistance, PlasmaVesselDistance, QuadraticFlux, + SurfaceCurrentRegularization, ToroidalFlux, VacuumBoundaryError, # we don't test these since they depend too much on what exactly the user wants @@ -2901,6 +2975,16 @@ def test_objective_no_nangrad_toroidal_flux(self): g = obj.grad(obj.x(ext_field)) assert not np.any(np.isnan(g)), "toroidal flux B" + @pytest.mark.unit + def test_objective_no_nangrad_surface_current_reg(self): + """SurfaceCurrentRegularization.""" + field = FourierCurrentPotentialField() + + obj = ObjectiveFunction(SurfaceCurrentRegularization(field), use_jit=False) + obj.build() + g = obj.grad(obj.x(field)) + assert not np.any(np.isnan(g)), "surface current regularization" + @pytest.mark.unit @pytest.mark.parametrize( "objective", sorted(other_objectives, key=lambda x: str(x.__name__)) diff --git a/tests/test_plotting.py b/tests/test_plotting.py index 873ccb712..b21c3a151 100644 --- a/tests/test_plotting.py +++ b/tests/test_plotting.py @@ -940,8 +940,8 @@ def test_plot_coefficients(): return fig -@pytest.mark.unit @pytest.mark.mpl_image_compare(remove_text=True, tolerance=tol_2d) +@pytest.mark.unit def test_plot_logo(): """Test plotting the DESC logo.""" fig, ax = plot_logo()