论文标题
黑暗粒子质量对来自短距离相关的耐候模型的中子星特性的影响
Dark particle mass effects on neutron star properties from a short-range correlated hadronic model
论文作者
论文摘要
在这项工作中,我们研究了一个相对论的平均场(RMF)辐射模型,其中包括核酸短距离相关性(SRC),通过Higgs玻色子耦合到暗物质(DM)。我们通过运行深色粒子费米动量研究了该模型的不同参数化,并且其质量在$ 50 $ GEV $ \ leqslantm_χslantm_χslant\ leqslant 500 $ GEV范围内,与实验性旋转无旋转的散射横截面兼容。通过使用此RMF-SRC-DM模型,我们计算了一些中子星数量,即Mass-Radius概况,无量纲潮汐变形和地壳特性。我们的发现表明,可以构建RMF-SRC-DM参数化与Ligo和Pirgo协作(LVC)在GW170817事件上提供的约束以及来自NICER MISS的最新观察数据一致。此外,我们表明$M_χ$的增加有利于从LVC获得有关潮汐变形的数据的模型。 $m_χ$的较高值还会导致中子星形壳(质量和厚度)的减少,并导致惯性矩的地壳分数减少($ i _ {\ rm {\ rm {\ tiny collust}}}}/i $)。尽管如此,我们表明某些RMF-SRC-DM参数仍然显示出$ i _ {\ rm {\ tiny corlust}}}}/i> 7 \%$,这种情况解释了旋转驱动的脉冲脉冲中的小故障活动,例如vela One。因此,暗物质含量也可以用于描述这种现象。
In this work we study a relativistic mean-field (RMF) hadronic model, with nucleonic short-range correlations (SRC) included, coupled to dark matter (DM) through the Higgs boson. We study different parametrizations of this model by running the dark particle Fermi momentum, and its mass in the range of $50$ GeV $\leqslant M_χ\leqslant 500$ GeV, compatible with experimental spin-independent scattering cross-sections. By using this RMF-SRC-DM model, we calculate some neutron star quantities, namely, mass-radius profiles, dimensionless tidal deformabilities, and crustal properties. Our findings show that is possible to construct RMF-SRC-DM parametrizations in agreement with constraints provided by LIGO and Virgo collaboration (LVC) on the GW170817 event, and recent observational data from the NICER mission. Furthermore, we show that the increase of $M_χ$ favors the model to attain data from LVC regarding the tidal deformabilities. Higher values of $M_χ$ also induce a reduction of the neutron star crust (mass and thickness), and cause a decrease of the crustal fraction of the moment of inertia ($I_{\rm{\tiny crust}}/I$). Nevertheless, we show that some RMF-SRC-DM parametrizations still exhibit $I_{\rm{\tiny crust}}/I>7\%$, a condition that explains the glitch activity in rotation-powered pulsars such as the Vela one. Therefore, dark matter content can also be used for describing such a phenomenon.