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

Тип публикацииJournal Article
Дата публикации2025-02-28
scimago Q2
wos Q2
БС1
SJR0.467
CiteScore5.3
Impact factor2.2
ISSN20738994
Краткое описание

The stable rotation of young pulsars is often interrupted by two non-deterministic phenomena: glitches and red timing noise, 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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ГОСТ |
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Wen Y. et al. Long-Term Timing Analysis of PSR J1741-3016: Efficient Noise Characterization Using PINT // Symmetry. 2025. Vol. 17. No. 3. p. 373.
ГОСТ со всеми авторами (до 50) Скопировать
Wen Y., Wang J., Yan W. M., Yuan J. P., Wang N., Xia Y., Zou Jing Long-Term Timing Analysis of PSR J1741-3016: Efficient Noise Characterization Using PINT // Symmetry. 2025. Vol. 17. No. 3. p. 373.
RIS |
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TY - JOUR
DO - 10.3390/sym17030373
UR - https://www.mdpi.com/2073-8994/17/3/373
TI - Long-Term Timing Analysis of PSR J1741-3016: Efficient Noise Characterization Using PINT
T2 - Symmetry
AU - Wen, Yirong
AU - Wang, Jingbo
AU - Yan, W. M.
AU - Yuan, J P
AU - Wang, Na
AU - Xia, Yong
AU - Zou Jing
PY - 2025
DA - 2025/02/28
PB - MDPI
SP - 373
IS - 3
VL - 17
SN - 2073-8994
ER -
BibTex |
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@article{2025_Wen,
author = {Yirong Wen and Jingbo Wang and W. M. Yan and J P Yuan and Na Wang and Yong Xia and Zou Jing},
title = {Long-Term Timing Analysis of PSR J1741-3016: Efficient Noise Characterization Using PINT},
journal = {Symmetry},
year = {2025},
volume = {17},
publisher = {MDPI},
month = {feb},
url = {https://www.mdpi.com/2073-8994/17/3/373},
number = {3},
pages = {373},
doi = {10.3390/sym17030373}
}
MLA
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Wen, Yirong, et al. “Long-Term Timing Analysis of PSR J1741-3016: Efficient Noise Characterization Using PINT.” Symmetry, vol. 17, no. 3, Feb. 2025, p. 373. https://www.mdpi.com/2073-8994/17/3/373.