# Stingray: A Modern Python Library For Spectral Timing

## TL;DR

Stingray is a comprehensive Python library designed for spectral timing analysis of astronomical light curves, offering Fourier analysis, pulsar data tools, and extensibility for future techniques.

## Contribution

It introduces a modular, well-tested Python library that integrates spectral-timing analysis methods with extensions and user-friendly interfaces for astronomical data analysis.

## Key findings

- High test coverage (95%) ensures reliability.
- Extensible architecture facilitates future spectral-timing method development.
- Provides extensive documentation and tutorials for users.

## Abstract

This paper describes the design and implementation of Stingray, a library in Python built to perform time series analysis and related tasks on astronomical light curves. Its core functionality comprises a range of Fourier analysis techniques commonly used in spectral-timing analysis, as well as extensions for analyzing pulsar data, simulating data sets, and statistical modeling. Its modular build allows for easy extensions and incorporation of its methods into data analysis workflows and pipelines. We aim for the library to be a platform for the implementation of future spectral-timing techniques. Here, we describe the overall vision and framework, core functionality, extensions, and connections to high-level command-line and graphical interfaces. The code is well-tested, with a test coverage of currently 95%, and is accompanied by extensive API documentation and a set of step-by-step tutorials.