Commit 1fce354d authored by Nicolas Nunez Barreto's avatar Nicolas Nunez Barreto

mediciones espectro uv

parent 466cd672
...@@ -568,6 +568,9 @@ class FluorescenceCorrelation(EnvExperiment): ...@@ -568,6 +568,9 @@ class FluorescenceCorrelation(EnvExperiment):
x_extended = np.concatenate([bin_edges[:-1] + i * self.tau_rf for i in range(3)]) x_extended = np.concatenate([bin_edges[:-1] + i * self.tau_rf for i in range(3)])
y_extended = np.tile(hist, 3) y_extended = np.tile(hist, 3)
y_extended_norm = y_extended/np.mean(y_extended)
print("jml Valor max", np.round( np.max(y_extended_norm), 3), np.round(np.max(y_extended),3))
# x_extended_dense = np.arange(np.min(x_extended),np.max(x_extended),0.1*(x_extended[1]-x_extended[0])) # x_extended_dense = np.arange(np.min(x_extended),np.max(x_extended),0.1*(x_extended[1]-x_extended[0]))
try: try:
...@@ -583,7 +586,7 @@ class FluorescenceCorrelation(EnvExperiment): ...@@ -583,7 +586,7 @@ class FluorescenceCorrelation(EnvExperiment):
self.mutate_dataset("fit_params", k, params[k]) self.mutate_dataset("fit_params", k, params[k])
for k in range(len(x_extended)): for k in range(len(x_extended)):
self.mutate_dataset("x_data", k, x_extended[k]) self.mutate_dataset("x_data", k, x_extended[k])
self.mutate_dataset("y_data", k, y_extended[k] ) self.mutate_dataset("y_data", k, y_extended_norm[k] )
return return
......
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