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PDF Analysis Tool

This script provides tools for analyzing probability density functions (PDFs) used in our paper.

Features

  • Read PDF Files: Loads PDF data from text files into NumPy arrays.
  • Moving Average: Calculates moving averages to smooth PDF data, with customizable window width.
  • Find Peak Indices: Identifies the peak position in PDF data.
  • PDF Width Calculation: Computes the width of a PDF based on its standard deviation.
  • Compare PDFs: Compares PDFs from different simulation sources and highlights significant differences based on a threshold.

Requirements

  • Python 3.x
  • NumPy library

Ensure that Python and NumPy are installed on your system. If NumPy is not installed, you can install it via pip:

pip install numpy

Usage

Run the Script: Execute the script with the desired parameters to analyze your PDFs. You can modify the example usage at the end of the script to suit your specific analysis needs.

compare_pdfs('Box3', '01.76_arcsec', 0.5)

This command compares PDFs for Box3 at a resolution of 01.76_arcsec, with a relative difference threshold of 0.5.

Script Functions

  • read_pdf_file(file_path): Reads a PDF file from the given path.
  • find_peak_indices(pdf_data): Returns the index of the peak in the given PDF data.
  • moving_average(data, width=10): Calculates the moving average of the data.
  • pdf_width(pdf, jac=1.0): Calculates the width of the PDF.
  • compare_pdfs(box, resolution, threshold, base_path='PDF'): Main function to compare PDFs across different conditions.