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Commit f2229730 authored by Nicolas Nunez Barreto's avatar Nicolas Nunez Barreto
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actualizado archivo de heating rate con mejor fiteo

parent c0518a5c
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analisis/plots/20230321_heatingrate/CPT_plotter_20230321.py
View file @ f2229730
...@@ -97,9 +97,9 @@ plt.grid() ...@@ -97,9 +97,9 @@ plt.grid()
plt.legend() plt.legend()
#%% #%%
#from EITfit.threeLevel_2repumps_AnalysisFunctions import CalculoTeoricoDarkResonances_8levels, GetMinimaInfo, GetPlotsofFluovsAngle_8levels, PerformExperiment_8levels, FindDRFrequencies, FindRelativeFluorescencesOfDR, GenerateNoisyCPT, SmoothNoisyCPT, GetFinalMaps, GenerateNoisyCPT_fixedRabi, GenerateNoisyCPT_fit from EITfit.threeLevel_2repumps_AnalysisFunctions import CalculoTeoricoDarkResonances_8levels, GetMinimaInfo, GetPlotsofFluovsAngle_8levels, PerformExperiment_8levels, FindDRFrequencies, FindRelativeFluorescencesOfDR, GenerateNoisyCPT, SmoothNoisyCPT, GetFinalMaps, GenerateNoisyCPT_fixedRabi, GenerateNoisyCPT_fit
#from EITfit.threeLevel_2repumps_AnalysisFunctions import MeasureRelativeFluorescenceFromCPT, IdentifyPolarizationCoincidences, RetrieveAbsoluteCoincidencesBetweenMaps, GetClosestIndex from EITfit.threeLevel_2repumps_AnalysisFunctions import MeasureRelativeFluorescenceFromCPT, IdentifyPolarizationCoincidences, RetrieveAbsoluteCoincidencesBetweenMaps, GetClosestIndex
#from scipy.optimize import curve_fit from scipy.optimize import curve_fit
""" """
Ajusto un cpt para obtener todos los parámetros relevantes primero. Ajusto un cpt para obtener todos los parámetros relevantes primero.
...@@ -110,6 +110,10 @@ phirepump, titarepump = 0, 0 ...@@ -110,6 +110,10 @@ phirepump, titarepump = 0, 0
phiprobe = 0 phiprobe = 0
titaprobe = 90 titaprobe = 90
gPS, gPD, = 2*np.pi*21.58e6, 2*np.pi*1.35e6
alpha = 0
noiseamplitude = 0
T = 0.6e-3 T = 0.6e-3
sg = 0.544 sg = 0.544
...@@ -127,7 +131,7 @@ u = 33.5e6 ...@@ -127,7 +131,7 @@ u = 33.5e6
c=3e8 c=3e8
B = (u/(2*np.pi))/c B = (u/(2*np.pi))/c
correccion = 3 #con 8 fitea bien correccion = 6 #con 3 fitea bien
offsetxpi = 440+1+correccion offsetxpi = 440+1+correccion
DetDoppler = -10.5-correccion DetDoppler = -10.5-correccion
...@@ -153,6 +157,11 @@ def FitEITpi(freqs, SG, SP, scale, offset, temp): ...@@ -153,6 +157,11 @@ def FitEITpi(freqs, SG, SP, scale, offset, temp):
#con broadening en ambos laseres da #con broadening en ambos laseres da
#[4.65604861e-01 8.06781613e+00 6.65914036e+04 4.12611199e-14, 1.80590400e-03] #[4.65604861e-01 8.06781613e+00 6.65914036e+04 4.12611199e-14, 1.80590400e-03]
#esos valores anteriores dan mal la ordenada al origen, cambie correccion y ahora da
#[4.71134671e-01, 7.63142299e+00, 7.30866544e+04, 1.80899906e+02, 1.20863371e-03]
print(f'Temperatura: ({round(1e3*popt_fullcpt[-1],2)} +- {round(1e3*np.sqrt(pcov_fullcpt[-1][-1]),2)}) mK')
popt_fullcpt, pcov_fullcpt = curve_fit(FitEITpi, FreqsDRpi, CountsDRpi, p0=[0.5, 4.5, 1e4, 1e3, 1e-3], bounds=((0, 0, 0, 0, 0), (2, 10, 1e5, 1e5, 10e-3))) popt_fullcpt, pcov_fullcpt = curve_fit(FitEITpi, FreqsDRpi, CountsDRpi, p0=[0.5, 4.5, 1e4, 1e3, 1e-3], bounds=((0, 0, 0, 0, 0), (2, 10, 1e5, 1e5, 10e-3)))
print(popt_fullcpt) print(popt_fullcpt)
...@@ -172,7 +181,7 @@ plt.plot(freqslongpi, FittedEITpi) ...@@ -172,7 +181,7 @@ plt.plot(freqslongpi, FittedEITpi)
""" """
Simulo CPTs con todos esos parámetros para distintas temperaturas Simulo CPTs con todos esos parámetros para distintas temperaturas
""" """
TempVecTeorico = np.arange(1, 31, 1) TempVecTeorico = list(np.arange(0, 31, 1))
CurvasTeoricas = [] CurvasTeoricas = []
for tempi in TempVecTeorico: for tempi in TempVecTeorico:
...@@ -248,11 +257,14 @@ plt.figure() ...@@ -248,11 +257,14 @@ plt.figure()
#plt.plot(Heating_tim_ms,Temperaturas_interpoladas,'o') #plt.plot(Heating_tim_ms,Temperaturas_interpoladas,'o')
plt.errorbar(Heating_tim_ms,Temperaturas_interpoladas, yerr=np.array(Error_Temperaturas_interpoladas), fmt='o', capsize=2, markersize=7, color='black') plt.errorbar(Heating_tim_ms,Temperaturas_interpoladas, yerr=np.array(Error_Temperaturas_interpoladas), fmt='o', capsize=2, markersize=7, color='black')
plt.plot(Heating_tim_ms, lineal(np.array(Heating_tim_ms), *p1), color='red') plt.plot(Heating_tim_ms, lineal(np.array(Heating_tim_ms), *p1), color='red')
plt.xlabel('Heating time (ms)') plt.xlabel('Heating time (ms)', fontname='STIXGeneral', fontsize=15)
plt.ylabel('Temperature (mK)') plt.ylabel('Temperature (mK)', fontname='STIXGeneral', fontsize=15)
plt.grid() plt.grid()
plt.title(f'Heating rate: ({round(p1[0],2)} +- {round(np.sqrt(p2[0][0]),2)}) mK/ms') plt.xticks([0, 5, 10, 15, 20 ,25, 30, 35], fontname='STIXGeneral', fontsize=15)
plt.yticks([0, 5, 10, 15], fontname='STIXGeneral', fontsize=15)
plt.title(f'Heating rate: ({round(p1[0],2)} +- {round(np.sqrt(p2[0][0]),2)}) mK/ms', fontname='STIXGeneral', fontsize=15)
plt.tight_layout()
plt.savefig('Fig_heatingrate.svg')
print(f'Heating rate: ({round(p1[0],2)} +- {round(np.sqrt(p2[0][0]),2)}) mK/ms') print(f'Heating rate: ({round(p1[0],2)} +- {round(np.sqrt(p2[0][0]),2)}) mK/ms')
......
analisis/plots/20230321_heatingrate/Data/EITfit/threeLevel_2repumps_AnalysisFunctions.py
View file @ f2229730
...@@ -12,7 +12,7 @@ import numpy as np ...@@ -12,7 +12,7 @@ import numpy as np
import time import time
import matplotlib.pyplot as plt import matplotlib.pyplot as plt
from scipy.signal import argrelextrema from scipy.signal import argrelextrema
from threeLevel_2repumps_linealpol_python_scripts import CPTspectrum8levels, CPTspectrum8levels_fixedRabi from EITfit.threeLevel_2repumps_linealpol_python_scripts import CPTspectrum8levels, CPTspectrum8levels_fixedRabi
import random import random
from scipy.signal import savgol_filter as sf from scipy.signal import savgol_filter as sf
......
analisis/plots/20230321_heatingrate/Data/Fig_heatingrate.svg 0 → 100644
View file @ f2229730
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