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README.txt
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Analysis code for analyzing Operators and Correlators from Lattice QCD
measurements
Explaination of each executable:
* alt_zfactor.py
* Computes Z-factors (operator-overlaps) using fits to the
diagonalized correlators
* binarywriter.py
* Writes correlator data in a binary format to be used with older
c++ analysis code
* build_corr.py
* Convenience methods for creating correlator files given data files
* compare_cormatrix.py
* Computes the chi-sqr differences of two entire correlator matricies
* configtimeobj.py
* Class to store "config,time" indexed data such as correlator and
operator data
* correlator.py
* Extends the configtimeobj to have correlator specific methods,
namely vevs
* determine_operators.py
* Given a list of files for a correlator matrix, determine the list
of operators from the filenames
* eigenvalues.py
* Methods for reading Laph eigenvalues for glueball measurements
* fakecor_matrix.py
* Methods to generate fake correlator maticies for testing
* fakecor.py
* Method to generate fake correlator data
* fitfunctions.py
* Functional forms to fit correlators to
* fit.py
* Perform a covariant least squares fit to a correlator
* format_fit_results.py
* Read in files for many fits and consolidate into a single file
* histo.py
* Compute a histogram of a measurement for checking outliers/shape
* irreps.py
* Figure out lattice irreps from continuum particle name
* jackknife.py
* Basic jackknife functions for correlators (can probably be merged
with correlator)
* level_identifier.py
* Plot z-factor/rotation coeffs
* main.py
* Compute effective masses. Should be renamed effective mass
* operator_tranlator.py
* Translate operator names for printing in plots
* pandas_reader.py
* read data files into pandas module objects
* particle_operators.py
* Translating PDG names
* particles.py
* List of particle names
* plot_files.py
* Plot data files
* plot.py
* Older plot library writing gnuplot files
* read_config_time_file.py
* Older data file reader
* readinput.py
* Simply library for reading various options from the user at
command line
* test_cfgtimeobj.py
* nit tests for cfgtimeobj
* tmin.py
* Make tmin plots from a full correlator file
* vev.py
* object for vevs to go with correlator objects
* zfactor.py
* Compute zfactors(overlaps) using rotation coeffs, original
correlator matrix