input: 
  def plot_energy_stats():
      """This function performs a series of calculations and generates plots based on input data.
      It loads the input data, performs calibration, calculates various values, and generates plots 
      showing absorbed power vs emitted power, absorbed power vs reflectivity, and dissipated power 
      vs wavelength. It also calculates thermal resistance and displays it on the plot.
      Example:
      plot_energy_stats()
      """
      pass
  
output:     import numpy as np
      import matplotlib.pyplot as plt
  
      # Load input data
      data = np.loadtxt('energy_data.txt')
  
      # Perform calibration
      calibrated_data = data * 1.2  # Example calibration factor
  
      # Calculate absorbed power, emitted power, reflectivity, and dissipated power
      absorbed_power = calibrated_data[:, 0]
      emitted_power = calibrated_data[:, 1]
      reflectivity = 1 - (absorbed_power / emitted_power)
      dissipated_power = absorbed_power - emitted_power
      wavelength = calibrated_data[:, 2]
  
      # Calculate thermal resistance
      thermal_resistance = np.mean(dissipated_power / absorbed_power)
  
      # Plot absorbed power vs emitted power
      plt.figure(figsize=(12, 6))
      plt.subplot(1, 3, 1)
      plt.plot(absorbed_power, emitted_power, 'bo-')
      plt.xlabel('Absorbed Power')
      plt.ylabel('Emitted Power')
      plt.title('Absorbed Power vs Emitted Power')
  
      # Plot absorbed power vs reflectivity
      plt.subplot(1, 3, 2)
      plt.plot(absorbed_power, reflectivity, 'ro-')
      plt.xlabel('Absorbed Power')
      plt.ylabel('Reflectivity')
      plt.title('Absorbed Power vs Reflectivity')
  
      # Plot dissipated power vs wavelength
      plt.subplot(1, 3, 3)
      plt.plot(wavelength, dissipated_power, 'go-')
      plt.xlabel('Wavelength')
      plt.ylabel('Dissipated Power')
      plt.title('Dissipated Power vs Wavelength')
  
      # Display thermal resistance on the plot
      plt.suptitle(f'Thermal Resistance: {thermal_resistance:.2f}')
  
      plt.tight_layout()
      plt.show()