input: 
  
  def main():
      """
      This function performs a series of calculations and plots based on input data. Before running this script, ensure you have run eval_spectrum.py and calibration.py with appropriate measurements. The script loads the input data, performs calibration, calculates various values like absorbed power, emitted power, reflectivity, and dissipated power, and generates plots that depict these values. It also calculates and displays the thermal resistance on the plot. To execute the code, run the main function.
      
      Example:
      for the provided logfile and calib_folder, the script will generate plots showing:
      1. Absorbed power vs Emitted power
      2. Absorbed power vs Reflectivity
      3. Dissipated power vs Wavelength
      and display the calculated thermal resistance on the plot.
      """
  
  
output:     
      import numpy as np
      import matplotlib.pyplot as plt
      import os
  
      def load_data(logfile, calib_folder):
          """ Load data from the logfile and calibration folder. """
          data = np.loadtxt(logfile, delimiter=',')
          calib_data = np.loadtxt(os.path.join(calib_folder, 'calibration_data.csv'), delimiter=',')
          return data, calib_data
  
      def calibrate_data(data, calib_data):
          """ Perform calibration on the input data. """
          calibrated_data = data * calib_data[:, 0] + calib_data[:, 1]
          return calibrated_data
  
      def calculate_absorbed_power(calibrated_data):
          """ Calculate the absorbed power. """
          absorbed_power = np.sum(calibrated_data[:, 0])
          return absorbed_power
  
      def calculate_emitted_power(calibrated_data):
          """ Calculate the emitted power. """
          emitted_power = np.sum(calibrated_data[:, 1])
          return emitted_power
  
      def calculate_reflectivity(calibrated_data):
          """ Calculate the reflectivity. """
          reflectivity = 1 - (np.sum(calibrated_data[:, 2]) / np.sum(calibrated_data[:, 0]))
          return reflectivity
  
      def calculate_dissipated_power(calibrated_data):
          """ Calculate the dissipated power. """
          dissipated_power = np.sum(calibrated_data[:, 3])
          return dissipated_power
  
      def plot_absorbed_vs_emitted(absorbed_power, emitted_power):
          """ Plot absorbed power vs emitted power. """
          plt.figure()
          plt.plot(absorbed_power, emitted_power, 'bo')
          plt.xlabel('Absorbed Power')
          plt.ylabel('Emitted Power')
          plt.title('Absorbed Power vs Emitted Power')
          plt.show()
  
      def plot_absorbed_vs_reflectivity(absorbed_power, reflectivity):
          """ Plot absorbed power vs reflectivity. """
          plt.figure()
          plt.plot(absorbed_power, reflectivity, 'ro')
          plt.xlabel('Absorbed Power')
          plt.ylabel('Reflectivity')
          plt.title('Absorbed Power vs Reflectivity')
          plt.show()
  
      def plot_dissipated_vs_wavelength(dissipated_power, wavelength):
          """ Plot dissipated power vs wavelength. """
          plt.figure()
          plt.plot(wavelength, dissipated_power, 'go')
          plt.xlabel('Wavelength')
          plt.ylabel('Dissipated Power')
          plt.title('Dissipated Power vs Wavelength')
          plt.show()
  
      def calculate_thermal_resistance(absorbed_power, emitted_power):
          """ Calculate and display the thermal resistance. """
          thermal_resistance = (absorbed_power - emitted_power) / absorbed_power
          print(f'Thermal Resistance: {thermal_resistance}')
          return thermal_resistance
  
      def main():
          logfile = 'data.log'
          calib_folder = 'calibration_data'
          
          data, calib_data = load_data(logfile, calib_folder)
          calibrated_data = calibrate_data(data, calib_data)
          
          absorbed_power = calculate_absorbed_power(calibrated_data)
          emitted_power = calculate_emitted_power(calibrated_data)
          reflectivity = calculate_reflectivity(calibrated_data)
          dissipated_power = calculate_dissipated_power(calibrated_data)
          
          plot_absorbed_vs_emitted(absorbed_power, emitted_power)
          plot_absorbed_vs_reflectivity(absorbed_power, reflectivity)
          plot_dissipated_vs_wavelength(dissipated_power, calibrated_data[:, 4])
          
          thermal_resistance = calculate_thermal_resistance(absorbed_power, emitted_power)
          
          plt.figure()
          plt.text(0.5, 0.5, f'Thermal Resistance: {thermal_resistance}', fontsize=12, ha='center')
          plt.axis('off')
          plt.show()
  
  if __name__ == "__main__":
      main()
  