Merge branch 'master' of https://code.df.uba.ar/nnunez/artiq_experiments

analisis/plots/20231123_CPTconmicromocion3/lolo_graficos_pub.py

@@ -535,8 +535,8 @@ fig.align_ylabels([ax_central,ax_res])
 fig.tight_layout()
 
 
-fig.savefig('grafico_central_opcion_A.png', dpi=300)
-fig.savefig('grafico_central_opcion_A.pdf')
+# fig.savefig('grafico_central_opcion_A.png', dpi=300)
+# fig.savefig('grafico_central_opcion_A.pdf')
 
 
 
@@ -559,6 +559,12 @@ plt.rcParams['text.usetex']=True
 # fig.set_constrained_layout_pads(w_pad=2/72, h_pad=2/72, hspace=0, wspace=0)
 
 
+
+voltages_dcA  = Voltages[0][SelectedCurveVec]*4
+
+
+
+
 ## Layout ###########################
 from matplotlib import gridspec
 figsize=(8.6/2.54*2,4)
@@ -654,7 +660,7 @@ axx[1,2].set_ylabel('Counts')
 I = slice(None,9)
 par_inicial = (12,1,-0.13)
 param,pcov = curve_fit(hiperbola2,voltages_dcA[I],Betas_vec[I],p0=par_inicial)
-x_hip = np.linspace(-0.23,0.005,200)
+x_hip = np.linspace(-0.23*4,0.005,200)
 
 EST=estadistica(voltages_dcA[I],Betas_vec[I],hiperbola2,pcov,param,nombres=None,alpha=0.05)
 print_estadistica(EST)
@@ -666,7 +672,7 @@ ax.errorbar(voltages_dcA[I],Betas_vec[I],yerr=ErrorBetas_vec[I],fmt='o',
 ax.plot(x_hip,hiperbola2(x_hip,*param),color='C0', label=r'hyperbola model')
 ax.set_ylabel(r'Modulation factor $\beta$', labelpad=-5)
 ax.set_ylim(-0.05,3)
-ax.set_xlim(-0.22,0)
+ax.set_xlim(-0.22*4,0)
 ax.set_title(f'(h)', x=0.95, y=0.006, color='gray')
 
 ax = ax_res