Determination of neutron star radius from pulse profile modeling using profile likelihood
Abstract
In recent years, NICER data have been extensively used to determine neutron star masses and radii using pulse profile modeling. Pulse profile modeling is implemented with the {\tt X-PSI} package and the best-fit parameters are typically obtained using Bayesian inference. Using simulated data, we demonstrate the first ever application of frequentist inference to determine the neutron star radius, where the nuisance parameters are treated using profile likelihood. We find that the profile likelihood technique can recover the true radius to < 1σ. The uncertainty in the estimated radius is also comparable to that obtained from Bayesian analysis while being computationally much faster. Therefore, this work serves as a proof-of-principle application of frequentist inference to estimate the neutron star radius using pulse profile modeling and complements the Bayesian inference technique currently used. We have also made our analysis codes for frequentist inference using {\tt X-PSI} publicly available.
Versions
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BibTeX
@misc{ramakrishnan2026determination,
title = {{Determination of neutron star radius from pulse profile modeling using profile likelihood}},
author = {Vyaas Ramakrishnan and Shantanu Desai},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2607.11154},
eprint = {2607.11154},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2607.11154},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Determination of neutron star radius from pulse profile modeling using profile likelihood
AU - Vyaas Ramakrishnan
AU - Shantanu Desai
PY - 2026
DA - 2026/09/01
PB - arXiv
DO - 10.48550/arxiv.2607.11154
UR - https://arxiv.org/abs/2607.11154
AB - In recent years, NICER data have been extensively used to determine neutron star masses and radii using pulse profile modeling. Pulse profile modeling is implemented with the {\tt X-PSI} package and the best-fit parameters are typically obtained using Bayesian inference. Using simulated data, we demonstrate the first ever application of frequentist inference to determine the neutron star radius, where the nuisance parameters are treated using profile likelihood. We find that the profile likelihood technique can recover the true radius to < 1σ. The uncertainty in the estimated radius is also comparable to that obtained from Bayesian analysis while being computationally much faster. Therefore, this work serves as a proof-of-principle application of frequentist inference to estimate the neutron star radius using pulse profile modeling and complements the Bayesian inference technique currently used. We have also made our analysis codes for frequentist inference using {\tt X-PSI} publicly available.
ER -