para muri

analisis/plots/20220615_CPTvariandocompensacion/CPT_plotter_20220615.py

@@ -293,11 +293,11 @@ def FitEIT_MM_SA(Freqs, offset, DetDoppler, SG, SP, SCALE1, SCALE2, OFFSET, BETA
     #return ScaledFluo1
 
 
-popt_SA, pcov_SA = curve_fit(FitEIT_MM_SA, FreqsDR, CountsDR, p0=[425, -13, 0.9, 7.5, 4e3, 5e3, 4000, 3.8, 0.8, 0.2e-3, 32e6], bounds=((0, -50, 0, 0, 0, 0, 0, 0,0, 0, 28e6), (1000, 0, 2, 20, 5e6, 5e6, 1e4, 10, 10,20e-3,40e6)))
+popt_SA, pcov_SA = curve_fit(FitEIT_MM_SA, FreqsDR, CountsDR, p0=[425, -13, 0.9, 7.5, 4e3, 5e3, 2500, 3.8, 0.8, 0.2e-3, 32e6], bounds=((0, -50, 0, 0, 0, 0, 1500, 0,0, 0, 28e6), (1000, 0, 2, 20, 5e6, 5e6, 6000, 10, 10,20e-3,40e6)))
 
 
 FittedEITpi_short_SA, Detunings_short_SA = FitEIT_MM_SA(FreqsDR, *popt_SA, plot=True)
-freqslong = np.arange(min(FreqsDR), max(FreqsDR)+FreqsDR[1]-FreqsDR[0], 0.1*(FreqsDR[1]-FreqsDR[0]))
+freqslong = np.arange(1*min(FreqsDR), 1*max(FreqsDR)+FreqsDR[1]-FreqsDR[0], 0.1*(FreqsDR[1]-FreqsDR[0]))
 FittedEITpi_long_SA, Detunings_long_SA = FitEIT_MM_SA(freqslong, *popt_SA, plot=True)
 
 plt.figure()
@@ -306,6 +306,7 @@ plt.plot(Detunings_long_SA, FittedEITpi_long_SA, color='darkolivegreen', linewid
 plt.title('2 ion model')
 plt.xlabel('Detuning (MHz)')
 plt.ylabel('Counts')
+plt.xlim(-100,100)
 #plt.legend(loc='upper left', fontsize=20)
 plt.grid()