From 309528356257e3bcd84274b2d92d2952633c21fe Mon Sep 17 00:00:00 2001 From: Maksim Davydov <70368398+Maksaska@users.noreply.github.com> Date: Thu, 27 Oct 2022 13:41:30 +0300 Subject: [PATCH] 2.4 - ./Data/KS/P3 Datafile fixed - Sigma asymmetry fit fixed --- Data/KS/P3.csv | 1098 ++++++++++++++++++++++++------------------------ model.py | 15 +- 2 files changed, 559 insertions(+), 554 deletions(-) diff --git a/Data/KS/P3.csv b/Data/KS/P3.csv index 23afd78..27b5a85 100644 --- a/Data/KS/P3.csv +++ b/Data/KS/P3.csv @@ -1,549 +1,549 @@ -W,Q2,eps,cos_th,Su,dSu,Slt,dSlt,Stt,dStt, -1.695,1.8,0.8601,-0.775,8.016,3.10042,-0.773,3.57414,1.63,5.42235, -1.695,1.8,0.8601,-0.525,8.937,3.1721,-3.794,3.05542,-1.83,5.71002, -1.695,1.8,0.8601,-0.3,9.846,2.99456,1.092,2.78993,-5.333,4.99116, -1.695,1.8,0.8601,-0.1,8.224,2.88332,0.416,3.39535,6.001,4.94015, -1.695,1.8,0.8601,0.1,11.948,3.94369,0.499,4.07242,-2.914,6.77858, -1.695,1.8,0.8601,0.3,8.306,3.01921,-0.686,2.9181,-2.515,5.30617, 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+2.575,3.45,0.149512,0.3,0.327523,0.305213,0.499782,0.905974,-0.577031,2.01795 +2.575,3.45,0.149512,0.5,1.89225,0.781649,-0.234375,2.41985,0.180994,4.58704 +2.575,3.45,0.149512,0.825,8.67971,2.84762,-0.641804,9.48609,-8.46195,18.1811 +2.575,3.45,0.149512,0.95,11.1811,3.25226,30.0275,7.25224,-3.69804,19.6 diff --git a/model.py b/model.py index c403c59..cc7ff52 100644 --- a/model.py +++ b/model.py @@ -1183,8 +1183,12 @@ def STT_f(x, a, b, c, d, e): for cos_th in self.cos_th: buff = {'W': [W], 'cos_th': [cos_th]} - buff['Sigma'] = [Su(cos_th, popt_St[0], popt_St[1], - popt_St[2], popt_St[3], popt_St[4])] + if self.add_factor: + buff['Sigma'] = [STT_f(cos_th, popt_St[0], popt_St[1], + popt_St[2], popt_St[3], popt_St[4])] + else: + buff['Sigma'] = [Su(cos_th, popt_St[0], popt_St[1], + popt_St[2], popt_St[3], popt_St[4])] result = pd.concat([result, pd.DataFrame(buff)], ignore_index=True) @@ -1207,15 +1211,16 @@ def STT_f(x, a, b, c, d, e): result.loc[result['cos_th'] > x.max(), 'dSigma'] = reader.iloc[len( reader)-1]['dSigma']*((result.loc[(result['cos_th'] > x.max()), 'cos_th'] - x.max())/(1 - x.max()) + 1) - result.loc[result['cos_th'] < x.min(), 'Sigma'] = Su( - x.min(), popt_St[0], popt_St[1], popt_St[2], popt_St[3], popt_St[4]) - if not(self.add_factor): + result.loc[result['cos_th'] < x.min(), 'Sigma'] = Su( + x.min(), popt_St[0], popt_St[1], popt_St[2], popt_St[3], popt_St[4]) result.loc[result['cos_th'] < x.min(), 'Sigma'] = Su( x.min(), popt_St[0], popt_St[1], popt_St[2], popt_St[3], popt_St[4]) result.loc[result['cos_th'] > x.max(), 'Sigma'] = Su( x.max(), popt_St[0], popt_St[1], popt_St[2], popt_St[3], popt_St[4]) if self.add_factor: + result.loc[result['cos_th'] < x.min(), 'Sigma'] = STT_f( + x.min(), popt_St[0], popt_St[1], popt_St[2], popt_St[3], popt_St[4]) result.loc[(result['cos_th'] < x.min()), 'dSigma'] = reader.iloc[0]['dSigma'] * \ (result.loc[(result['cos_th'] < x.min()), 'cos_th'] + 1)/(1 + x.min()) result.loc[(result['cos_th'] > x.max()), 'dSigma'] = reader.iloc[len(