PowerCutStats

Overview

PowerCutStats is a repository for statistical analysis of event FFT power and noise characterization. The codebase includes tools for data validation, matched filtering, and ROC curve generation.

Features

• FFT analysis for event power spectra
• Noise characterization and statistical analysis
• ROC curve generation
• Data validation utilities

Installation

To use this repository, clone it and install the required dependencies:

git clone https://github.com/nathanhigginbotham/PowerCutStats.git
cd PowerCutStats
pip install -r requirements.txt

Structure

PowerCutStats/
│-- data/          # Data sets and truth information (CSV and PKL format)
│-- docs/          # Documentation
│-- examples/      # Example scripts and templates for analysis
│-- figures/       # Stored figures and results
│-- scripts/       # Various scripts for data processing, validation and analysis
│-- FROG.py        # FFT PDF/ROC Curve Generator
│-- analysis.py    # Functions for FFT noise analysis
│-- data_tools.py  # Data processing functions
│-- testing.py     # Validation and testing scripts
│-- README.md      # Project documentation
│-- LICENSE        # MIT License

Contributing

If you'd like to contribute, feel free to submit a pull request. Ensure that any new scripts or modifications include proper documentation and testing.

Acknowledgments

Part of the QTNM collaboration for statistical analysis of FFT/spectrogram data.