init

check.py

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+# -*- coding: utf-8 -*-
+"""
+Created on Tue Apr 15 13:34:02 2025
+
+@author: ziapkoff
+"""
+
+import os
+
+import matplotlib.pyplot as plt
+
+
+
+
+from optifik.analysis import *
+from optifik.auto import auto
+
+plt.rc('text', usetex=True)
+plt.rcParams.update({
+    'axes.labelsize': 26,
+    'xtick.labelsize': 32,
+    'ytick.labelsize': 32,
+    'legend.fontsize': 23,
+})
+
+
+
+def check_basic():
+
+    ##### Chemin du dossier contenant le spectre #####
+
+    DATA_FOLDER = os.path.abspath(os.path.join(os.path.curdir, 'tests', 'basic'))
+
+    #SAVE_FOLDER = DATA_FOLDER
+
+    # FILE_NAME = '003582.xy' #FFT Exemple -> FFT 3524.51
+    # FILE_NAME = '000004310.xy' #OOspectro Exemple -> minmax 1338.35
+    # FILE_NAME = '000005253.xy'#Scheludko 4 pics Exemple -> scheludko ²
+    # FILE_NAME = '000006544.xy'#Scheludko 2 pics Exemple -> ombre ## Diviser prominence FFT par 2
+    # FILE_NAME = '000018918.xy' #Scheludko 1 pic max Exemple -> ombre ## Diviser prominence FFT par 2
+
+    FILE_NAME = '000004310.xy' #TEST#
+
+    auto(DATA_FOLDER, FILE_NAME, plot=False)
+
+
+def check_SV1():
+    
+    
+    DATA_FOLDER = os.path.join('tests', 'spectraVictor1')
+    
+    import yaml
+
+    yaml_file = os.path.join(DATA_FOLDER, 'known_value.yaml')
+    with open(yaml_file, "r") as yaml_file:
+        thickness_dict = yaml.safe_load(yaml_file)
+    
+    
+    for fn, val in thickness_dict.items():
+        #auto(DATA_FOLDER, fn)
+        
+        spectre_file = os.path.join(DATA_FOLDER, fn)
+
+        ##### Affichage du spectre brut et récupération des Intesités brutes#####
+
+        raw_intensities = plot_xy(spectre_file)
+
+        ##### Affichage du spectre lissé #####
+
+        smoothed_intensities, intensities, lambdas = Data_Smoothed(spectre_file)
+
+        ##### Indice Optique en fonction de Lambda #####
+
+        indice =  1.324188 + 3102.060378 / (lambdas**2)
+
+        prominence = 0.02
+
+        ##### Find Peak #####
+
+        total_extrema, smoothed_intensities, raw_intensities, lambdas, peaks_min, peaks_max = finds_peak(spectre_file,
+                                                                                                         min_peak_prominence=prominence)
+        
+        thickness_minmax = thickness_from_minmax(lambdas,
+                                                 smoothed_intensities,
+                                                 refractive_index=indice,
+                                                 min_peak_prominence=prominence)
+        thickness = thickness_minmax.thickness
+        print(f'thickness: {thickness:.2f} nm')
+        
+        
+        print(f'expected: {val}')
+        print('#-' * 10)
+
+
+    
+
+if __name__ == '__main__':
+
+    check_basic()
+    #check_SV1()