⬆️ Update results using glotaran branch/tag: 2ce9425f55a94df718724547…

…e1d66c6b8ae8fe1e

👌 pyglotaran-examples commit: acd9ae6

👌 pyglotaran commit: 2ce9425f55a94df718724547e1d66c6b8ae8fe1e

ex_spectral_constraints/no_penalties/optimized_parameters.csv

@@ -1,7 +1,7 @@
 label,value,minimum,maximum,vary,non-negative,expression
 inputs.s1,0.5,-inf,inf,False,False,None
 inputs.s2,0.5,-inf,inf,False,False,None
-irf.center,0.400002096738232,-inf,inf,True,False,None
-irf.width,0.05997848875436452,-inf,inf,True,False,None
-rates.k1,0.2500311557944875,-inf,inf,True,False,None
-rates.k2,0.9999470795394774,-inf,inf,True,False,None
+irf.center,0.4000020967378384,-inf,inf,True,False,None
+irf.width,0.05997848875409771,-inf,inf,True,False,None
+rates.k1,0.2500311557952002,-inf,inf,True,False,None
+rates.k2,0.9999470795123746,-inf,inf,True,False,None

ex_spectral_constraints/no_penalties_first_run/optimized_parameters.csv

@@ -1,7 +1,7 @@
 label,value,minimum,maximum,vary,non-negative,expression
 inputs.s1,0.5,-inf,inf,False,False,None
 inputs.s2,0.5,-inf,inf,False,False,None
-irf.center,0.400002096738232,-inf,inf,True,False,None
-irf.width,0.05997848875436452,-inf,inf,True,False,None
-rates.k1,0.2500311557944875,-inf,inf,True,False,None
-rates.k2,0.9999470795394774,-inf,inf,True,False,None
+irf.center,0.40000209673793236,-inf,inf,True,False,None
+irf.width,0.05997848875418838,-inf,inf,True,False,None
+rates.k1,0.2500311557936515,-inf,inf,True,False,None
+rates.k2,0.9999470795229095,-inf,inf,True,False,None

ex_spectral_constraints/with_penalties/optimized_parameters.csv

@@ -1,8 +1,8 @@
 label,value,minimum,maximum,vary,non-negative,expression
 inputs.s1,0.5,-inf,inf,False,False,None
-inputs.s2,0.6810942445171966,-inf,inf,True,False,None
-irf.center,0.40000209673813925,-inf,inf,True,False,None
-irf.width,0.05997848875458866,-inf,inf,True,False,None
-rates.k1,0.2500311558069298,-inf,inf,True,False,None
-rates.k2,0.9999470795590242,-inf,inf,True,False,None
+inputs.s2,0.681094244701484,-inf,inf,True,False,None
+irf.center,0.40000209673750065,-inf,inf,True,False,None
+irf.width,0.05997848875359835,-inf,inf,True,False,None
+rates.k1,0.2500311557799468,-inf,inf,True,False,None
+rates.k2,0.9999470794617186,-inf,inf,True,False,None
 area.1,1.0,-inf,inf,False,False,None

ex_spectral_constraints/with_penalties/result.md

@@ -1,13 +1,13 @@
-| Optimization Result           |                  |
-|-------------------------------|------------------|
-| Number of residual evaluation | 2                |
-| Number of variables           | 5                |
-| Number of datapoints          | 25552            |
-| Degrees of freedom            | 25547            |
-| Chi Square                    | 6.18e+01         |
-| Reduced Chi Square            | 2.42e-03         |
-| Root Mean Square Error (RMSE) | 4.92e-02         |
-| RMSE additional penalty       | [3.08446033e-08] |
+| Optimization Result           |                 |
+|-------------------------------|-----------------|
+| Number of residual evaluation | 2               |
+| Number of variables           | 5               |
+| Number of datapoints          | 25552           |
+| Degrees of freedom            | 25547           |
+| Chi Square                    | 6.18e+01        |
+| Reduced Chi Square            | 2.42e-03        |
+| Root Mean Square Error (RMSE) | 4.92e-02        |
+| RMSE additional penalty       | [4.3015234e-08] |
 
 # Model
 

ex_spectral_constraints/with_penalties_first_run/optimized_parameters.csv

@@ -1,8 +1,8 @@
 label,value,minimum,maximum,vary,non-negative,expression
 inputs.s1,0.5,-inf,inf,False,False,None
-inputs.s2,0.6810942520433104,-inf,inf,True,False,None
-irf.center,0.40000209675033604,-inf,inf,True,False,None
-irf.width,0.05997848876039635,-inf,inf,True,False,None
-rates.k1,0.25003115422490463,-inf,inf,True,False,None
-rates.k2,0.9999470787277136,-inf,inf,True,False,None
+inputs.s2,0.6810942516450328,-inf,inf,True,False,None
+irf.center,0.4000020967500941,-inf,inf,True,False,None
+irf.width,0.05997848876040979,-inf,inf,True,False,None
+rates.k1,0.25003115422231653,-inf,inf,True,False,None
+rates.k2,0.9999470787091811,-inf,inf,True,False,None
 area.1,1.0,-inf,inf,False,False,None

ex_spectral_constraints/with_penalties_first_run/result.md

@@ -7,7 +7,7 @@
 | Chi Square                    | 6.18e+01         |
 | Reduced Chi Square            | 2.42e-03         |
 | Root Mean Square Error (RMSE) | 4.92e-02         |
-| RMSE additional penalty       | [2.64471555e-07] |
+| RMSE additional penalty       | [7.80414211e-08] |
 
 # Model
 

ex_spectral_guidance/optimized_parameters.csv

@@ -1,15 +1,15 @@
 label,value,minimum,maximum,vary,non-negative,expression
 inputs.s1,0.0,-inf,inf,False,False,None
 inputs.s2,1.0,-inf,inf,False,False,None
-rates.k1,0.24693780673483698,-inf,inf,True,True,None
-rates.k2,0.1598841008630304,-inf,inf,True,True,None
+rates.k1,0.24695511635148487,-inf,inf,True,True,None
+rates.k2,0.15986173249004262,-inf,inf,True,True,None
 rates.k3,0.087,-inf,inf,False,True,None
-rates.k4,0.24914596704373607,-inf,inf,True,True,None
-rates.k5,0.0064317384668320056,-inf,inf,True,True,None
-rates.k6,1.3317923012112445e-06,-inf,inf,True,True,None
+rates.k4,0.2491525232246772,-inf,inf,True,True,None
+rates.k5,0.006430803165170064,-inf,inf,True,True,None
+rates.k6,1.3317353009445966e-06,-inf,inf,True,True,None
 area.1,3.4634,-inf,inf,False,False,None
 rel.r1,1.0,-inf,inf,False,False,None
 scale.1,1.0,-inf,inf,False,False,None
-scale.2,0.855560224221609,-inf,inf,True,False,None
+scale.2,0.855563206297344,-inf,inf,True,False,None
 irf.center,-0.00100000005,-inf,inf,False,False,None
 irf.width,0.000415255752,-inf,inf,False,False,None

ex_spectral_guidance/result.md

@@ -7,12 +7,12 @@
 | Chi Square                    | 9.80e+06     |
 | Reduced Chi Square            | 8.71e+02     |
 | Root Mean Square Error (RMSE) | 2.95e+01     |
-| RMSE additional penalty       | [4.06507309] |
+| RMSE additional penalty       | [4.06698831] |
 
 | RMSE (per dataset)   |   weighted |   unweighted |
 |----------------------|------------|--------------|
 | 1.dataset1:          |   3.00e+01 |     3.00e+01 |
-| 2.dataset2:          |   5.59e-04 |     5.59e-04 |
+| 2.dataset2:          |   5.60e-04 |     5.60e-04 |
 
 # Model
 
@@ -36,18 +36,18 @@ _Type_: kinetic-spectrum
 * **km1**:
   * *Label*: km1
   * *Matrix*: 
-    * *('s1', 's4')*: rates.k1: **2.46938e-01** *(StdErr: 4e-02 ,initial: 2.10000e-01)*
-    * *('s3', 's1')*: rates.k2: **1.59884e-01** *(StdErr: 8e-02 ,initial: 1.95500e-01)*
+    * *('s1', 's4')*: rates.k1: **2.46955e-01** *(StdErr: 2e-02 ,initial: 2.10000e-01)*
+    * *('s3', 's1')*: rates.k2: **1.59862e-01** *(StdErr: 8e-02 ,initial: 1.95500e-01)*
     * *('s2', 's1')*: rates.k3: **8.70000e-02** *(fixed)*
-    * *('s5', 's2')*: rates.k4: **2.49146e-01** *(StdErr: 2e-02 ,initial: 2.67000e-01)*
-    * *('s6', 's3')*: rates.k5: **6.43174e-03** *(StdErr: 2e-01 ,initial: 6.40000e-03)*
-    * *('s6', 's6')*: rates.k6: **1.33179e-06** *(StdErr: 4e-01 ,initial: 1.30000e-06)*
-    * *('s5', 's5')*: rates.k6: **1.33179e-06** *(StdErr: 4e-01 ,initial: 1.30000e-06)*
+    * *('s5', 's2')*: rates.k4: **2.49153e-01** *(StdErr: 6e-02 ,initial: 2.67000e-01)*
+    * *('s6', 's3')*: rates.k5: **6.43080e-03** *(StdErr: 2e-01 ,initial: 6.40000e-03)*
+    * *('s6', 's6')*: rates.k6: **1.33174e-06** *(StdErr: 4e-01 ,initial: 1.30000e-06)*
+    * *('s5', 's5')*: rates.k6: **1.33174e-06** *(StdErr: 4e-01 ,initial: 1.30000e-06)*
 
 * **km2**:
   * *Label*: km2
   * *Matrix*: 
-    * *('s5', 's5')*: rates.k6: **1.33179e-06** *(StdErr: 4e-01 ,initial: 1.30000e-06)*
+    * *('s5', 's5')*: rates.k6: **1.33174e-06** *(StdErr: 4e-01 ,initial: 1.30000e-06)*
 
 
 ## Irf
@@ -74,7 +74,7 @@ _Type_: kinetic-spectrum
 * **dataset2**:
   * *Label*: dataset2
   * *Megacomplex*: ['complex2']
-  * *Scale*: scale.2: **8.55560e-01** *(StdErr: 2e+00 ,initial: 8.62000e-01)*
+  * *Scale*: scale.2: **8.55563e-01** *(StdErr: 2e+00 ,initial: 8.62000e-01)*
   * *Initial Concentration*: input2
 
 ## Megacomplex

ex_two_datasets/optimized_parameters.csv

@@ -1,14 +1,14 @@
 label,value,minimum,maximum,vary,non-negative,expression
 inputs.1,0.5,-inf,inf,False,True,None
-inputs.2,0.6251007624286558,-inf,inf,True,True,None
-inputs.3,0.6440032387605901,-inf,inf,True,True,None
-inputs.7,0.31249193542274667,-inf,inf,True,True,None
-inputs.8,0.16078807334902276,-inf,inf,True,True,None
+inputs.2,0.6251007627620772,-inf,inf,True,True,None
+inputs.3,0.6440032586378177,-inf,inf,True,True,None
+inputs.7,0.31249193865071184,-inf,inf,True,True,None
+inputs.8,0.16078807897065042,-inf,inf,True,True,None
 scale.1,1.0,-inf,inf,False,False,None
-scale.2,1.1005772349753022,-inf,inf,True,False,None
-rates.k1,0.24992041465821352,-inf,inf,True,True,None
-rates.k2,0.5001823549975374,-inf,inf,True,True,None
-rates.k3,1.00045650135843,-inf,inf,True,True,None
-irf.center,0.40000433761774934,-inf,inf,True,False,None
-irf.width,0.059971591317168414,-inf,inf,True,False,None
+scale.2,1.1005772350657952,-inf,inf,True,False,None
+rates.k1,0.24992041404652693,-inf,inf,True,True,None
+rates.k2,0.5001823489571922,-inf,inf,True,True,None
+rates.k3,1.0004564946817027,-inf,inf,True,True,None
+irf.center,0.4000043376174283,-inf,inf,True,False,None
+irf.width,0.05997159131697485,-inf,inf,True,False,None
 area.1,1.0,-inf,inf,False,False,None

ex_two_datasets/result.md

@@ -1,13 +1,13 @@
 | Optimization Result           |                                 |
 |-------------------------------|---------------------------------|
-| Number of residual evaluation | 13                              |
+| Number of residual evaluation | 15                              |
 | Number of variables           | 10                              |
 | Number of datapoints          | 51104                           |
 | Degrees of freedom            | 51094                           |
 | Chi Square                    | 3.14e+02                        |
 | Reduced Chi Square            | 6.15e-03                        |
 | Root Mean Square Error (RMSE) | 7.84e-02                        |
-| RMSE additional penalty       | [8.03437706e-07 4.77945741e-07] |
+| RMSE additional penalty       | [8.07068500e-07 5.06159995e-07] |
 
 | RMSE (per dataset)   |   weighted |   unweighted |
 |----------------------|------------|--------------|

example_commit_sha.txt

@@ -1 +1 @@
-b567ec8995c5b83b5a4d55c7e515f996afec0e3f
+acd9ae6525d86ae80e9cccb14a13d05c1554494d

pyglotaran_commit_sha.txt

@@ -1 +1 @@
-26387f7d54349d05dba1a62c31bb5a21b3263e2a
+2ce9425f55a94df718724547e1d66c6b8ae8fe1e

simultaneous_analysis_3d_disp/optimized_parameters.csv

@@ -1,23 +1,23 @@
 label,value,minimum,maximum,vary,non-negative,expression
-rates.k1,0.049990825370333676,-inf,inf,True,True,None
-rates.k2,2.3105924062500236,-inf,inf,True,True,None
-rates.k3,0.5093333103367842,-inf,inf,True,True,None
+rates.k1,0.049990825370333704,-inf,inf,True,True,None
+rates.k2,2.3105924062500245,-inf,inf,True,True,None
+rates.k3,0.5093333103367843,-inf,inf,True,True,None
 inputs.1,0.5,-inf,inf,False,True,None
-inputs.2,0.17963227181383312,-inf,inf,True,True,None
-inputs.3,0.30297168688607234,-inf,inf,True,True,None
-inputs.7,0.38686255337664105,-inf,inf,True,True,None
-inputs.8,0.39408735916029825,-inf,inf,True,True,None
-inputs.9,0.2876862366005007,-inf,inf,True,True,None
-inputs.10,0.35219684526005324,-inf,inf,True,True,None
+inputs.2,0.17963227181384536,-inf,inf,True,True,None
+inputs.3,0.3029716868860736,-inf,inf,True,True,None
+inputs.7,0.38686255337666725,-inf,inf,True,True,None
+inputs.8,0.3940873591603003,-inf,inf,True,True,None
+inputs.9,0.2876862366005203,-inf,inf,True,True,None
+inputs.10,0.35219684526005485,-inf,inf,True,True,None
 irf.center1,0.4000046246770367,-inf,inf,True,False,None
 irf.center2,0.4100000001377893,-inf,inf,True,False,None
-irf.center3,0.42000000007761634,-inf,inf,True,False,None
+irf.center3,0.4200000000776163,-inf,inf,True,False,None
 irf.width,0.05998079092079342,-inf,inf,True,False,None
 irf.dispc,500.0,-inf,inf,False,False,None
-irf.disp1,0.009999999986775684,-inf,inf,True,False,None
-irf.disp2,0.0010000001765575772,-inf,inf,True,False,None
+irf.disp1,0.009999999986775686,-inf,inf,True,False,None
+irf.disp2,0.0010000001765575802,-inf,inf,True,False,None
 scale.1,1.0,-inf,inf,False,False,None
-scale.2,1.3055691453653409,-inf,inf,True,False,None
-scale.3,1.1635417577879414,-inf,inf,True,False,None
+scale.2,1.3055691453653515,-inf,inf,True,False,None
+scale.3,1.163541757787947,-inf,inf,True,False,None
 pen.1,1.0,-inf,inf,False,False,None
 area.1,1.0,-inf,inf,False,False,None

simultaneous_analysis_3d_disp/result.md

@@ -7,7 +7,7 @@
 | Chi Square                    | 1.47e-04                        |
 | Reduced Chi Square            | 1.60e-09                        |
 | Root Mean Square Error (RMSE) | 4.00e-05                        |
-| RMSE additional penalty       | [3.30719558e-08 4.25250619e-08] |
+| RMSE additional penalty       | [3.31503543e-08 4.25307007e-08] |
 
 | RMSE (per dataset)   |   weighted |   unweighted |
 |----------------------|------------|--------------|

simultaneous_analysis_3d_weight/optimized_parameters.csv

@@ -1,20 +1,20 @@
 label,value,minimum,maximum,vary,non-negative,expression
-rates.k1,0.049962937681165914,-inf,inf,True,True,None
-rates.k2,1.991273160784457,-inf,inf,True,True,None
-rates.k3,0.4990180172626636,-inf,inf,True,True,None
+rates.k1,0.049962937688920905,-inf,inf,True,True,None
+rates.k2,1.9912731607633931,-inf,inf,True,True,None
+rates.k3,0.499018018264336,-inf,inf,True,True,None
 inputs.1,0.5,-inf,inf,False,True,None
-inputs.2,0.24215137136352946,-inf,inf,True,True,None
-inputs.3,0.3631615133856068,-inf,inf,True,True,None
-inputs.7,0.16130602079072107,-inf,inf,True,True,None
-inputs.8,0.3115494063435945,-inf,inf,True,True,None
-inputs.9,0.09625647865904945,-inf,inf,True,True,None
-inputs.10,0.20794335728494026,-inf,inf,True,True,None
-irf.center1,0.49997540180781685,-inf,inf,True,True,None
-irf.center2,0.4000241078165151,-inf,inf,True,True,None
-irf.center3,0.4499863772320418,-inf,inf,True,True,None
-irf.width1,0.059954808101213224,-inf,inf,True,True,None
-irf.width2,0.11972892602236565,-inf,inf,True,True,None
+inputs.2,0.24215137048750196,-inf,inf,True,True,None
+inputs.3,0.36316151381987144,-inf,inf,True,True,None
+inputs.7,0.16130601992248203,-inf,inf,True,True,None
+inputs.8,0.3115494066808567,-inf,inf,True,True,None
+inputs.9,0.09625647735354383,-inf,inf,True,True,None
+inputs.10,0.20794335785876955,-inf,inf,True,True,None
+irf.center1,0.4999754017925783,-inf,inf,True,True,None
+irf.center2,0.4000241077954842,-inf,inf,True,True,None
+irf.center3,0.4499863771874723,-inf,inf,True,True,None
+irf.width1,0.059954808085498426,-inf,inf,True,True,None
+irf.width2,0.11972892593415072,-inf,inf,True,True,None
 scale.1,1.0,-inf,inf,False,True,None
-scale.2,0.8800495567586801,-inf,inf,True,True,None
-scale.3,72.73623223492659,-inf,inf,True,True,None
+scale.2,0.8800495565999776,-inf,inf,True,True,None
+scale.3,72.73623218418655,-inf,inf,True,True,None
 area.1,1.0,-inf,inf,False,False,None

simultaneous_analysis_3d_weight/result.md

@@ -7,7 +7,7 @@
 | Chi Square                    | 5.03e+03                        |
 | Reduced Chi Square            | 5.47e-02                        |
 | Root Mean Square Error (RMSE) | 2.34e-01                        |
-| RMSE additional penalty       | [8.24456947e-09 1.79876224e-08] |
+| RMSE additional penalty       | [2.84971975e-08 6.57413693e-08] |
 
 | RMSE (per dataset)   |   weighted |   unweighted |
 |----------------------|------------|--------------|
@@ -24,17 +24,17 @@ _Type_: kinetic-spectrum
 * **input1**:
   * *Label*: input1
   * *Compartments*: ['s1', 's2', 's3']
-  * *Parameters*: [inputs.1: **5.00000e-01** *(fixed)*, inputs.2: **2.42151e-01** *(StdErr: 1e+01 ,initial: 2.42290e-01)*, inputs.3: **3.63162e-01** *(StdErr: 2e+01 ,initial: 3.63180e-01)*]
+  * *Parameters*: [inputs.1: **5.00000e-01** *(fixed)*, inputs.2: **2.42151e-01** *(StdErr: 9e+00 ,initial: 2.42290e-01)*, inputs.3: **3.63162e-01** *(StdErr: 8e+00 ,initial: 3.63180e-01)*]
   * *Exclude From Normalize*: []
 * **input2**:
   * *Label*: input2
   * *Compartments*: ['s1', 's2', 's3']
-  * *Parameters*: [inputs.1: **5.00000e-01** *(fixed)*, inputs.7: **1.61306e-01** *(StdErr: 1e+01 ,initial: 1.61370e-01)*, inputs.8: **3.11549e-01** *(StdErr: 2e+01 ,initial: 3.11570e-01)*]
+  * *Parameters*: [inputs.1: **5.00000e-01** *(fixed)*, inputs.7: **1.61306e-01** *(StdErr: 9e+00 ,initial: 1.61370e-01)*, inputs.8: **3.11549e-01** *(StdErr: 8e+00 ,initial: 3.11570e-01)*]
   * *Exclude From Normalize*: []
 * **input3**:
   * *Label*: input3
   * *Compartments*: ['s1', 's2', 's3']
-  * *Parameters*: [inputs.1: **5.00000e-01** *(fixed)*, inputs.9: **9.62565e-02** *(StdErr: 1e+01 ,initial: 9.61700e-02)*, inputs.10: **2.07943e-01** *(StdErr: 2e+01 ,initial: 2.08060e-01)*]
+  * *Parameters*: [inputs.1: **5.00000e-01** *(fixed)*, inputs.9: **9.62565e-02** *(StdErr: 9e+00 ,initial: 9.61700e-02)*, inputs.10: **2.07943e-01** *(StdErr: 8e+00 ,initial: 2.08060e-01)*]
   * *Exclude From Normalize*: []
 
 ## K Matrix
@@ -91,13 +91,13 @@ _Type_: kinetic-spectrum
 * **dataset2**:
   * *Label*: dataset2
   * *Megacomplex*: ['complex1']
-  * *Scale*: scale.2: **8.80050e-01** *(StdErr: 7e-01 ,initial: 8.80052e-01)*
+  * *Scale*: scale.2: **8.80050e-01** *(StdErr: 5e-01 ,initial: 8.80052e-01)*
   * *Initial Concentration*: input2
   * *Irf*: irf2_no_dispersion
 * **dataset3**:
   * *Label*: dataset3
   * *Megacomplex*: ['complex1']
-  * *Scale*: scale.3: **7.27362e+01** *(StdErr: 2e+00 ,initial: 7.27300e+01)*
+  * *Scale*: scale.3: **7.27362e+01** *(StdErr: 1e+00 ,initial: 7.27300e+01)*
   * *Initial Concentration*: input3
   * *Irf*: irf3_no_dispersion
 

simultaneous_analysis_6d_disp/optimized_parameters.csv

@@ -1,23 +1,23 @@
 label,value,minimum,maximum,vary,non-negative,expression
-rates.k1,0.04999014739385692,-inf,inf,True,True,None
-rates.k2,0.509192228620524,-inf,inf,True,True,None
-rates.k3,2.311128828102274,-inf,inf,True,True,None
+rates.k1,0.04999014739385694,-inf,inf,True,True,None
+rates.k2,0.5091922286205187,-inf,inf,True,True,None
+rates.k3,2.3111288281021234,-inf,inf,True,True,None
 inputs.1,0.5,-inf,inf,False,True,None
-inputs.2,0.3055777837230735,-inf,inf,True,True,None
-inputs.3,0.18104852760545112,-inf,inf,True,True,None
-inputs.7,0.3974407003651315,-inf,inf,True,True,None
-inputs.8,0.38997525793612686,-inf,inf,True,True,None
-inputs.9,0.35523501451828077,-inf,inf,True,True,None
-inputs.10,0.28994974380502814,-inf,inf,True,True,None
-irf.center1,0.4000046252239818,-inf,inf,True,False,None
-irf.center2,0.40999999987783553,-inf,inf,True,False,None
-irf.center3,0.41999999990066206,-inf,inf,True,False,None
-irf.width,0.059980790942255606,-inf,inf,True,False,None
+inputs.2,0.30557778372263666,-inf,inf,True,True,None
+inputs.3,0.1810485276059784,-inf,inf,True,True,None
+inputs.7,0.397440700364564,-inf,inf,True,True,None
+inputs.8,0.3899752579372445,-inf,inf,True,True,None
+inputs.9,0.35523501451777323,-inf,inf,True,True,None
+inputs.10,0.289949743805863,-inf,inf,True,True,None
+irf.center1,0.4000046252239815,-inf,inf,True,False,None
+irf.center2,0.40999999987783486,-inf,inf,True,False,None
+irf.center3,0.41999999990066156,-inf,inf,True,False,None
+irf.width,0.05998079094225535,-inf,inf,True,False,None
 irf.dispc,500.0,-inf,inf,False,False,None
-irf.disp1,0.00999999970483798,-inf,inf,True,False,None
-irf.disp2,0.0009999998239686077,-inf,inf,True,False,None
+irf.disp1,0.009999999704835987,-inf,inf,True,False,None
+irf.disp2,0.0009999998239663198,-inf,inf,True,False,None
 scale.1,1.0,-inf,inf,False,False,None
-scale.2,1.3068418502095578,-inf,inf,True,False,None
-scale.3,1.1641989365229113,-inf,inf,True,False,None
+scale.2,1.3068418502099959,-inf,inf,True,False,None
+scale.3,1.164198936523137,-inf,inf,True,False,None
 pen.1,1.0,-inf,inf,False,False,None
 area.1,1.0,-inf,inf,False,False,None

simultaneous_analysis_6d_disp/result.md

@@ -7,7 +7,7 @@
 | Chi Square                    | 1.49e-04                        |
 | Reduced Chi Square            | 1.61e-09                        |
 | Root Mean Square Error (RMSE) | 4.01e-05                        |
-| RMSE additional penalty       | [1.06956577e-10 4.16121457e-07] |
+| RMSE additional penalty       | [2.69283191e-10 4.16454131e-07] |
 
 | RMSE (per dataset)   |   weighted |   unweighted |
 |----------------------|------------|--------------|