Uncovering Correlations and Biases in Parameter Inference from Neutron-Star Pulse Profile Modeling

Fuente: arXiv
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Autori principali: Zhao, Tong, Psaltis, Dimitrios, Ozel, Feryal, Beklen, Elif
Natura: Preprint
Pubblicazione: 2024
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author Zhao, Tong
Psaltis, Dimitrios
Ozel, Feryal
Beklen, Elif
author_facet Zhao, Tong
Psaltis, Dimitrios
Ozel, Feryal
Beklen, Elif
contents Modeling of X-ray pulse profiles from millisecond pulsars offers a promising method of inferring the mass-to-radius ratios of neutron stars. Recent observations with NICER resulted in measurements of radii for three neutron stars using this technique. In this paper, we explore correlations between model parameters and the degree to which individual parameters can be inferred from pulse profiles, using an analytic model that allows for an efficient and interpretable exploration. We introduce a new set of model parameters that reduce the most prominent correlations and allow for an efficient sampling of posteriors. We then demonstrate that the degree of beaming of radiation emerging from the neutron star surface has a large impact on the uncertainties in the inferred model parameters. Finally, we show that the uncertainties in the model parameters for neutron stars for which the polar cap temperature falls outside of the NICER energy range are significantly degraded.
format Preprint
id arxiv_https___arxiv_org_abs_2412_12283
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Uncovering Correlations and Biases in Parameter Inference from Neutron-Star Pulse Profile Modeling
Zhao, Tong
Psaltis, Dimitrios
Ozel, Feryal
Beklen, Elif
High Energy Astrophysical Phenomena
General Relativity and Quantum Cosmology
Modeling of X-ray pulse profiles from millisecond pulsars offers a promising method of inferring the mass-to-radius ratios of neutron stars. Recent observations with NICER resulted in measurements of radii for three neutron stars using this technique. In this paper, we explore correlations between model parameters and the degree to which individual parameters can be inferred from pulse profiles, using an analytic model that allows for an efficient and interpretable exploration. We introduce a new set of model parameters that reduce the most prominent correlations and allow for an efficient sampling of posteriors. We then demonstrate that the degree of beaming of radiation emerging from the neutron star surface has a large impact on the uncertainties in the inferred model parameters. Finally, we show that the uncertainties in the model parameters for neutron stars for which the polar cap temperature falls outside of the NICER energy range are significantly degraded.
title Uncovering Correlations and Biases in Parameter Inference from Neutron-Star Pulse Profile Modeling
topic High Energy Astrophysical Phenomena
General Relativity and Quantum Cosmology
url https://arxiv.org/abs/2412.12283