English

Relation between gravitational mass and baryonic mass for non-rotating and rapidly rotating neutron stars

High Energy Astrophysical Phenomena 2019-05-13 v1

Abstract

With a selected sample of neutron star (NS) equation-of-states (EOSs) that are consistent with the current observations and have a range of maximum masses, we investigate the relations between NS gravitational mass MgM_g and baryonic mass MbM_b, and the relations between the maximum NS mass supported through uniform rotation (MmaxM_{\rm max}) and that of nonrotating NSs (MTOVM_{\rm TOV}). We find that if one intends to apply an EOS-independent quadratic, universal transformation formula (Mb=Mg+A×Mg2M_b=M_g+A\times M_{g}^2) to all EOSs, the best fit AA value is 0.080 for non-rotating NSs only and 0.073 when different spin periods are considered. The residual error of the transformation is as large as 0.1M\sim0.1M_{\odot}. For different EOSs, we find that the parameter AA for non-rotating NSs is proportional to R1.41R_{1.4}^{-1} (where R1.4R_{1.4} is NS radius for 1.4MM_\odot in unit of km). For a particular EOS, if one adopts the best-fit parameters for different spin periods, the residual error of the transformation is smaller, which is of the order of 0.01MM_\odot for the quadratic form and less than 0.01MM_\odot for the cubic form (Mb=Mg+A1×Mg2+A2×Mg3M_b=M_g+A_1\times M_{g}^2+A_2\times M_{g}^3). We also find a very tight and general correlation between the normalized mass gain due to spin Δm(MmaxMTOV)/MTOV\Delta m\equiv(M_{\rm max}-M_{\rm TOV})/M_{\rm TOV} and the spin period normalized to the Keplerian period P{\cal P}, i.e. log10Δm=(2.74±0.05)log10P+log10(0.20±0.01){\rm log_{10}}\Delta m = (-2.74\pm0.05){\rm log_{10}}{\cal P}+{\rm log_{10}}(0.20\pm 0.01), which is independent of EOS models. Applications of our results to GW170817 is discussed.

Keywords

Cite

@article{arxiv.1905.03784,
  title  = {Relation between gravitational mass and baryonic mass for non-rotating and rapidly rotating neutron stars},
  author = {He Gao and Shun-Ke Ai and Zhou-Jian Cao and Bing Zhang and Zhen-Yu Zhu and Ang Li and Nai-Bo Zhang and Andreas Bauswein},
  journal= {arXiv preprint arXiv:1905.03784},
  year   = {2019}
}

Comments

7 pages, 3 figures