A NICER View of the Massive Pulsar PSR J0740+6620 Informed by Radio Timing and XMM-Newton Spectroscopy

Slavko Bogdanov, Wynn C. G. Ho, Sharon M. Morsink, Thomas E. Riley, Anna L. Watts, Devarshi Choudhury, Sebastien Guillot, Alice K. Harding, Paul S. Ray, Michael T. Wolff, Craig B. Markwardt, Zaven Arzoumanian, Keith C. Gendreau, Anna V. Bilous, Julia S. Deneva, James M. Lattimer, Michael Loewenstein, Renee M. Ludlam, Takashi Okajima, Chanda Prescod-Weinstein, Ronald A. Remillard, Emmanuel Fonseca, H. Thankful Cromartie, Matthew Kerr, Timothy T. Pennucci, Aditya Parthasarathy, Scott Ransom, Ingrid Stairs, Lucas Guillemot, Ismael Cognard
2021-09-01

SCID:  54.1/zrm3guz2
Abstract We report on Bayesian estimation of the radius, mass, and hot surface regions of the massive millisecond pulsar PSR J0740+6620, conditional on pulse-profile modeling of Neutron Star Interior Composition Explorer X-ray Timing Instrument event data. We condition on informative pulsar mass, distance, and orbital inclination priors derived from the joint North American Nanohertz Observatory for Gravitational Waves and Canadian Hydrogen Intensity Mapping Experiment/Pulsar wideband radio timing measurements of Fonseca et al. We use XMM-Newton European Photon Imaging Camera spectroscopic event data to inform our X-ray likelihood function. The prior support of the pulsar radius is truncated at 16 km to ensure coverage of current dense matter models. We assume conservative priors on instrument calibration uncertainty. We constrain the equatorial radius and mass of PSR J0740+6620 to be 12.39 − 0.98 + 1.30 km and 2.072 − 0.066 + 0.067 M ⊙ respectively, each reported as the posterior credible interval bounded by the 16% and 84% quantiles, conditional on surface hot regions that are non-overlapping spherical caps of fully ionized hydrogen atmosphere with uniform effective temperature; a posteriori, the temperature is log 10 ( T [ K ] ) = 5.99 − 0.06 + 0.05 for each hot region. All software for the X-ray modeling framework is open-source and all data, model, and sample information is publicly available, including analysis notebooks and model modules in the Python language. Our marginal likelihood function of mass and equatorial radius is proportional to the marginal joint posterior density of those parameters (within the prior support) and can thus be computed from the posterior samples.
Publication Details
Publication Date
2021-09-01
Journal
Publisher
ISSN
Access Type
Author Information
Authors
Slavko Bogdanov
Wynn C. G. Ho
Sharon M. Morsink
Thomas E. Riley
Anna L. Watts
Devarshi Choudhury
Sebastien Guillot
Alice K. Harding
Paul S. Ray
Michael T. Wolff
Craig B. Markwardt
Zaven Arzoumanian
Keith C. Gendreau
Anna V. Bilous
Julia S. Deneva
James M. Lattimer
Michael Loewenstein
Renee M. Ludlam
Takashi Okajima
Chanda Prescod-Weinstein
Ronald A. Remillard
Emmanuel Fonseca
H. Thankful Cromartie
Matthew Kerr
Timothy T. Pennucci
Aditya Parthasarathy
Scott Ransom
Ingrid Stairs
Lucas Guillemot
Ismael Cognard
Explore More Research
Use the citation graph to discover related papers and expand your research horizons.
Click any node to explore
Download PDF
100%