A NICER view of PSR J0030+0451: Implications for the dense matter equation of state
G. Raaijmakers, T. E. Riley, A. L. Watts, S. K. Greif, S. M. Morsink,, K. Hebeler, A. Schwenk, T. Hinderer, S. Nissanke, S. Guillot, Z. Arzoumanian,, S. Bogdanov, D. Chakrabarty K. C. Gendreau, W. C. G. Ho, J. M. Lattimer, R., M. Ludlam, M. T. Wolff

TL;DR
This study uses NICER X-ray data and Bayesian methods to infer the dense matter equation of state from the pulsar PSR J0030+0451's mass and radius, integrating nuclear physics and astrophysical constraints.
Contribution
It introduces a Bayesian framework combining NICER data with nuclear physics models to constrain the dense matter EOS using pulsar observations.
Findings
NICER data is consistent with high-density EOS models.
Current uncertainties limit the information gain from PSR J0030+0451.
EOS constraints are improved by combining astrophysical and nuclear physics data.
Abstract
Both the mass and radius of the millisecond pulsar PSR J0030+0451 have been inferred via pulse-profile modeling of X-ray data obtained by NASA's NICER mission. In this Letter we study the implications of the mass-radius inference reported for this source by Riley et al. (2019) for the dense matter equation of state (EOS), in the context of prior information from nuclear physics at low densities. Using a Bayesian framework we infer central densities and EOS properties for two choices of high-density extensions: a piecewise-polytropic model and a model based on assumptions of the speed of sound in dense matter. Around nuclear saturation density these extensions are matched to an EOS uncertainty band obtained from calculations based on chiral effective field theory interactions, which provide a realistic description of atomic nuclei as well as empirical nuclear matter properties within…
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