FermiPhased: A tool for phase-resolved likelihood analysis of Fermi-LAT data

TL;DR

FermiPhased is an open-source, flexible tool built on Fermipy for phase-resolved likelihood analysis of Fermi-LAT data, supporting various analysis modes for studying periodically variable astrophysical sources.

Contribution

It introduces a new, adaptable software tool that enables detailed phase-resolved analysis of Fermi-LAT data, including multiple analysis modes and parallel processing capabilities.

Findings

Enables phase-resolved flux and spectrum extraction

Supports adaptive and joint phase analysis modes

Optimized for parallel execution on clusters

Abstract

The Fermi Large Area Telescope has enabled detailed studies of high-energy astrophysical sources. To support analysis, we present FermiPhased, a flexible, open-source tool for phase-resolved studies of pulsars, binaries, and other periodically variable sources. Built on the Fermipy framework, FermiPhased offers three modes: standard, adaptive (fixed counts), and joint phase-resolved analysis, enabling users to flexibly bin data based on phase, count statistics, or jointly fit different epochs of interest. FermiPhased is optimized for parallel execution and use on computing clusters. It enables parallelized extraction of phase-resolved fluxes, spectra, and intermediary data products, with tutorials and documentation available on GitHub.