Be Careful in Multimessenger Inference of the Hubble Constant: A Path Forward for Robust Inference

Michael Müller, Suvodip Mukherjee and Geoffrey Ryan
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Abstract

Multimessenger observations of coalescing binary neutron stars (BNSs) using gravitational-wave (GW) and electromagnetic- (EM) wave signals are a direct probe of the expansion history of the Universe and carry the potential to shed light on the disparity between low- and high-redshift measurements of the Hubble constant H0. To measure the value of H0 with such observations requires pristine inference of the luminosity distance and the true source redshift with minimal impact from systematics. In this analysis, we carry out joint inference on mock GW signals and their EM afterglows from BNS coalescences and find that the inclination angle inferred from the afterglow light curve and apparent superluminal motion can be precise but need not be accurate and is subject to a systematic uncertainty that could be as large as 1.5σ. This produces a disparity between the EM and GW inferred inclination angles, which if not carefully treated when combining observations can bias the inferred value of H0. We also find that already small misalignments of 3°–6° between the inherent system inclinations for the GW and EM emission can bias the inference by if not taken into account. As multimessenger BNS observations are rare, we must make the most out of a small number of events and harness the increased precision while avoiding a reduced accuracy. We demonstrate how to mitigate these potential sources of bias by jointly inferring the mismatch between the GW- and EM-based inclination angles and H0.
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哈勃常数的多信使推断需谨慎:稳健推断的前进之路
利用引力波(GW)和电磁波(EM)信号对凝聚双中子星(BNS)进行多信使观测,是对宇宙膨胀历史的直接探测,有可能揭示哈勃常数 H0 的低红移和高红移测量值之间的差异。要通过这种观测来测量哈勃常数 H0 的值,需要对光度距离和真正的源红移进行原始推断,并尽量减少系统性的影响。在这项分析中,我们对模拟全球变暖信号及其来自 BNS 凝聚的电磁余辉进行了联合推断,发现从余辉光曲线和视超光速运动推断出的倾角可以是精确的,但不一定是准确的,而且会受到系统不确定性的影响,系统不确定性可能高达 1.5σ。这就产生了 EM 和 GW 推断倾角之间的差异,如果在合并观测数据时不仔细处理,就会使 H0 的推断值出现偏差。我们还发现,如果不考虑 GW 和 EM 发射的固有系统倾角之间 3°-6° 的微小错位,也会使推断产生偏差。由于多信使 BNS 观测非常罕见,我们必须充分利用少量的事件,并在避免精度降低的同时利用更高的精度。我们展示了如何通过联合推断基于 GW 和 EM 的倾角与 H0 之间的不匹配来减轻这些潜在的偏差来源。
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