PINT: Maximum-likelihood Estimation of Pulsar Timing Noise Parameters Article Swipe
Abhimanyu Susobhanan
,
D. L. Kaplan
,
Anne M. Archibald
,
Jing Luo
,
Paul S. Ray
,
Timothy T. Pennucci
,
S. M. Ransom
,
Gabriella Agazie
,
William Fiore
,
Bjorn Larsen
,
Patrick M. O'Neill
,
Rutger van Haasteren
,
Akash Anumarlapudi
,
Matteo Bachetti
,
Deven Bhakta
,
Chloe A. Champagne
,
H. Thankful Cromartie
,
Paul Demorest
,
Ross J. Jennings
,
M. Kerr
,
Sasha Levina
,
Alexander McEwen
,
Brent J. Shapiro-Albert
,
Joseph K. Swiggum
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3847/1538-4357/ad59f7
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3847/1538-4357/ad59f7
PINT is a pure-Python framework for high-precision pulsar timing developed on top of widely used and well-tested Python libraries, supporting both interactive and programmatic data analysis workflows. We present a new frequentist framework within PINT to characterize the single-pulsar noise processes present in pulsar timing data sets. This framework enables parameter estimation for both uncorrelated and correlated noise processes, as well as model comparison between different timing and noise models in a computationally inexpensive way. We demonstrate the efficacy of the new framework by applying it to simulated data sets as well as a real data set of PSR B1855+09. We also describe the new features implemented in PINT since it was first described in the literature.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3847/1538-4357/ad59f7
- OA Status
- gold
- Cited By
- 9
- References
- 91
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4401588206
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4401588206Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3847/1538-4357/ad59f7Digital Object Identifier
- Title
-
PINT: Maximum-likelihood Estimation of Pulsar Timing Noise ParametersWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-08-01Full publication date if available
- Authors
-
Abhimanyu Susobhanan, D. L. Kaplan, Anne M. Archibald, Jing Luo, Paul S. Ray, Timothy T. Pennucci, S. M. Ransom, Gabriella Agazie, William Fiore, Bjorn Larsen, Patrick M. O'Neill, Rutger van Haasteren, Akash Anumarlapudi, Matteo Bachetti, Deven Bhakta, Chloe A. Champagne, H. Thankful Cromartie, Paul Demorest, Ross J. Jennings, M. Kerr, Sasha Levina, Alexander McEwen, Brent J. Shapiro-Albert, Joseph K. SwiggumList of authors in order
- Landing page
-
https://doi.org/10.3847/1538-4357/ad59f7Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.3847/1538-4357/ad59f7Direct OA link when available
- Concepts
-
Physics, Pulsar, Noise (video), Astrophysics, Maximum likelihood, Astronomy, Statistical physics, Statistics, Artificial intelligence, Image (mathematics), Mathematics, Computer scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
9Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 9Per-year citation counts (last 5 years)
- References (count)
-
91Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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