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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Nov 5 12:58:59 2025
@author: christian
"""
"""
Problem:
- Import xls data into Python
- Plot the Intensity [a.u.] vs pixels
- Interpolate and convert x-axis from pixels to nm (true wavelength) using Hg lamp data (using data in file: **Lampa_Calibrare_Mercur.xlsx**)
- Find response function of the spectrometer using the tungsten lamp data from file: "**Calibrare Intensitate Oxigen.xlsx**)": $R=\frac{I_{measured}}{I_{true}}$ (where True is computed by Planck's law of radiation (see notes in the pptx above)
- Convert y-axis from Intensity [a.u.] into Intensity in [W/(cm^2*sr*nm)] by dividing the measured Oxygen spectrum with the response function: $I_{oxygen, true}=\frac{I_{oxygen, measured}}{R}$
- Once the spectra is in real units: compute the density of one of the oxygen lines by integrating underneath one of the peaks (see equation from Slide 39 - bottom). We will give all of the constants that are in this equation (see the "I**ntensity_Calibration_Oxygen_Discharge_Solution.xlsx**")
"""
import pandas as pd
import matplotlib.pyplot as plt
Hg_data = 'Lampa_Calibrare_Mercur.xlsx'
#Ar_data = 'Spectru Descarcare Argon.xlsx'
Ox_data = 'Calibrare Intensitate Oxigen.xlsx'
df_Hg = pd.read_excel(Hg_data, header=11, engine='openpyxl')
df_Ox = pd.read_excel(Ox_data, header=3, engine='openpyxl')
#df_Ar = pd.read_excel(Ar_data, header=14, engine='openpyxl')
# Trims mercury data to the first 2000 pixels
df_Hg = df_Hg[df_Hg['Pixels']<2000]
"Plot Intensity vs Pixels for mercury"
# Plot Hg intensity-pixel plot
plt.figure(figsize=(8,5))
plt.plot(df_Hg['Pixels'], df_Hg['Intensity'], linestyle='-')
plt.xlabel('Pixels')
plt.ylabel('Intensity [a.u.]')
plt.title('Pixel-Intensity (Hg)')
plt.grid(True)
plt.show()
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