PINT: A Modern Software Package for Pulsar Timing
Jing Luo, Scott Ransom, Paul Demorest, Paul S. Ray, Anne Archibald,, Matthew Kerr, Ross J. Jennings, Matteo Bachetti, Rutger van Haasteren, Chloe, A. Champagne, Jonathan Colen, Camryn Phillips, Josef Zimmerman, Kevin, Stovall, Michael T. Lam, Fredrick A. Jenet

TL;DR
PINT is a modern, Python-based pulsar timing software package designed for high-precision data analysis, offering improved flexibility, validation, and cross-checking capabilities compared to traditional tools.
Contribution
It introduces a new, object-oriented, modular pulsar timing package developed independently from existing software, enhancing reliability and extensibility.
Findings
PINT achieves high-precision timing analysis comparable to TEMPO and TEMPO2.
It provides a flexible, validated platform for pulsar timing data analysis.
The software is open-source and designed for reproducibility and cross-validation.
Abstract
Over the past few decades, the measurement precision of some pulsar-timing experiments has advanced from ~10 us to ~10 ns, revealing many subtle phenomena. Such high precision demands both careful data handling and sophisticated timing models to avoid systematic error. To achieve these goals, we present PINT (PINT Is Not Tempo3), a high-precision Python pulsar timing data analysis package, which is hosted on GitHub and available on Python Package Index (PyPI) as pint-pulsar. PINT is well-tested, validated, object-oriented, and modular, enabling interactive data analysis and providing an extensible and flexible development platform for timing applications. It utilizes well-debugged public Python packages (e.g., the NumPy and Astropy libraries) and modern software development schemes (e.g., version control and efficient development with git and GitHub) and a continually expanding test…
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Taxonomy
TopicsSuperconducting Materials and Applications · Particle accelerators and beam dynamics · Magnetic confinement fusion research
