利用 3.6 年的 NICER 数据计算高质脉冲星 PSR J0740+6620 的半径

Tuomo Salmi, Devarshi Choudhury, Yves Kini, Thomas E. Riley, Serena Vinciguerra, Anna L. Watts, Michael T. Wolff, Zaven Arzoumanian, Slavko Bogdanov, Deepto Chakrabarty, Keith Gendreau, Sebastien Guillot, Wynn C. G. Ho, Daniela Huppenkothen, Renee M. Ludlam, Sharon M. Morsink and Paul S. Ray
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摘要

我们利用中子星内部成分探测器(NICER)2018 年 9 月 21 日至 2022 年 4 月 21 日的数据,报告了对大质量脉冲星 PSR J0740+6620 的半径、质量和受热表面区域的最新分析,与之前的分析相比,数据集的规模大幅增加。利用来自无线电定时测量的严密质量先验,并将新的NICER数据与XMM-Newton数据联合建模,推断出的赤道半径和引力质量分别为千米和⊙M,各自报告为以16%和84%量值为边界的后验可信区间,估计系统误差≲ 0.1千米。这一结果是使用计算上可行的最佳采样器设置得到的,它提供了较强的半径下限,但半径上限的不确定性稍大。当 Dittmann 等人像我们一样要求半径小于 16 公里时,推断出的半径区间也接近于他们得到的公里数。结果仍然不支持高密度物质的软状态方程,在 95% 的概率下,这颗高质脉冲星的 R < 11.15 km 被排除在外。结果与 NICER 和 XMM-Newton 之间假定的交叉校准不确定性关系不大。利用与实际观测数据相似的模拟数据,我们还证明了我们的管道能够恢复本文所报告的推断模型的参数。
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The Radius of the High-mass Pulsar PSR J0740+6620 with 3.6 yr of NICER Data
We report an updated analysis of the radius, mass, and heated surface regions of the massive pulsar PSR J0740+6620 using Neutron Star Interior Composition Explorer (NICER) data from 2018 September 21 to 2022 April 21, a substantial increase in data set size compared to previous analyses. Using a tight mass prior from radio-timing measurements and jointly modeling the new NICER data with XMM-Newton data, the inferred equatorial radius and gravitational mass are km and M⊙, respectively, each reported as the posterior credible interval bounded by the 16% and 84% quantiles, with an estimated systematic error ≲ 0.1 km. This result was obtained using the best computationally feasible sampler settings providing a strong radius lower limit but a slightly more uncertain radius upper limit. The inferred radius interval is also close to the km obtained by Dittmann et al., when they require the radius to be less than 16 km as we do. The results continue to disfavor very soft equations of state for dense matter, with R < 11.15 km for this high-mass pulsar excluded at the 95% probability. The results do not depend significantly on the assumed cross-calibration uncertainty between NICER and XMM-Newton. Using simulated data that resemble the actual observations, we also show that our pipeline is capable of recovering parameters for the inferred models reported in this paper.
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