Long-Term Timing Analysis of PSR J1741—3016: Efficient Noise Characterization Using PINT

The stable rotation of young pulsars is often interrupted by two non-deterministic phenomena: glitches and red timing noise. Timing noise provides insights into plasma and nuclear physics under extreme conditions. The framework leverages rotational symmetry in pulsar spin-down models and temporal symmetry in noise processes to achieve computational efficiency, aligning with the journal’s focus on symmetry principles in physical systems. In this paper, we apply a novel frequentist framework developed within the PINT software package (v0.9.8) to analyze single-pulsar noise processes. Using 17.5 years of pulse time-of-arrival (TOA) data for the young pulsar PSR J1741—3016, observed with the Nanshan 26 m radio telescope, we investigate its timing properties. In this study, we employed the Downhill Weighted Least-Squares Fitter to estimate the pulsar’s spin parameters and position. The Akaike Information Criterion (AIC) was used for model parameter selection. The results obtained with PINT were compared to those from ENTERPRISE and TEMPONEST, two Bayesian-based frameworks. We demonstrate that PINT achieves comparable results with significantly reduced computational costs. Additionally, the adequacy of the noise model can be readily verified through visual inspection tools. Future research will utilize this framework to analyze timing noise across a large sample of young pulsars.

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Publication Details

Journal
Symmetry
Published
2025-02-28
DOI
https://doi.org/10.3390/sym17030373
Primary Topic
Geophysics and Gravity Measurements
Type
article
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article

Long-Term Timing Analysis of PSR J1741—3016: Efficient Noise Characterization Using PINT

Jing Zou, W. M. Yan, Jingbo Wang, J. P. Yuan et al.
Symmetry
Geophysics and Gravity Measurements
article

Long-Term Timing Analysis of PSR J1741—3016: Efficient Noise Characterization Using PINT

Jing Zou, W. M. Yan, Jingbo Wang, J. P. Yuan, Yong Xia, Yirong Wen, Na Wang
article en

Abstract

The stable rotation of young pulsars is often interrupted by two non-deterministic phenomena: glitches and red timing noise. Timing noise provides insights into plasma and nuclear physics under extreme conditions. The framework leverages rotational symmetry in pulsar spin-down models and temporal symmetry in noise processes to achieve computational efficiency, aligning with the journal’s focus on symmetry principles in physical systems. In this paper, we apply a novel frequentist framework developed within the PINT software package (v0.9.8) to analyze single-pulsar noise processes. Using 17.5 years of pulse time-of-arrival (TOA) data for the young pulsar PSR J1741—3016, observed with the Nanshan 26 m radio telescope, we investigate its timing properties. In this study, we employed the Downhill Weighted Least-Squares Fitter to estimate the pulsar’s spin parameters and position. The Akaike Information Criterion (AIC) was used for model parameter selection. The results obtained with PINT were compared to those from ENTERPRISE and TEMPONEST, two Bayesian-based frameworks. We demonstrate that PINT achieves comparable results with significantly reduced computational costs. Additionally, the adequacy of the noise model can be readily verified through visual inspection tools. Future research will utilize this framework to analyze timing noise across a large sample of young pulsars.

SymmetryVol. 17(3)
Chinese Academy of Sciences (CN), Xinjiang Astronomical Observatory (CN), Lishui University (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 97%
Geophysics and Gravity Measurements
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Long-Term Timing Analysis of PSR J1741—3016: Efficient Noise Characterization Using PINT — Jing Zou, W. M. Yan, et al. · Symmetry (2025) | TGRS Research Map | TGRS