psrsigsim 1.0.1

The NANOGrav Pulsar Signal Simulator.

PsrSigSim

The NANOGrav Pulsar Signal Simulator

• Free software: MIT license

• Documentation: https://psrsigsim.readthedocs.io.

Image Credit: Caitlin Witt

The Pulsar Signal Simulator (PsrSigSim) is a Python package developed by the North American Nanohertz Observatory for Gravitational Waves (NANOGrav). This software is free to use and is designed as a tool for simulating realistic pulsar signals, as well as educating students and researchers about those signals. Various models from the copious pulsar literature are used for simulating emission, propagation effects and data processing artifacts.

Goals

• Investigate sources of time-of-arrival errors: Simulate various sources of time of arrival errors, including interstellar medium effects, intrinsic pulsar noise, various pulsar emission mechanisms and gravitational waves. Simulate instrumental noise sources, including radio frequency interference, radiometer noise and backend sampling effects.

• Education and Outreach: Allow users to build pulsar signals piece-by-piece to demonstrate to students how pulsar signals change as they propagate and how they are changed by the signal processing done at the telescope. Make materials for talks and outreach including signal diagrams and sound files of sonified pulsars.

• Search algorithms and search training: Test new search algorithms on signals with known parameters. Use simulated signals for search training. Assess the sensitivity of current search algorithms with simulated signals.

Code of Conduct

The PsrSigSim community expects contributors to follow a Code of Conduct outlined with our documentation.

Credits

Development Team: Jeffrey S. Hazboun, Brent Shapiro-Albert, Paul T. Baker

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

1.0.1 (2021-02-08)

• Various changes to documentation and metadata coinciding with JOSS review.

1.0.0 (2020-10-15)

• First release, coinciding with chromatic timing parameter paper.

0.2.0 (2020-08-17)

• Pre Release version for testing.

0.1.0 (2018-01-16)*

• First release on PyPI.