论文标题

$ r $ $ r $ - 过程的核合成的无线电约束。

Radio Constraints on $r$-process Nucleosynthesis by Collapsars

论文作者

Lee, K. H., Bartos, I., Cook, A., Corsi, A., Marka, Z., Privon, G. C., Marka, S.

论文摘要

宇宙中最重的元素是通过非常中子丰富的流出的快速中子捕获($ r $ - 过程)合成的。通过对GW170817的多通间观察,建立了中子星合并为重要的$ r $ $ process来源。还提出了折叠术作为重型元素的潜在主要来源。但是,由于其他发射机制污染,这很难通过光学观察结果进行探测。在这里,我们介绍了基于附近长伽马射线爆发的无线电随访观察结果,对$ r $ $ r $ process的核合成的观察约束。我们提出的假设是,较晚的无线电发射是由负责伪造$ r $ process元素的Collapsar风喷射引起的,并考虑使用位于2 GPC内的Swift/BAT GRBS样本的无线电观察到可以在这种情况下设置的约束。在我们的样本中,没有任何无线电对grb的无线电余波,这将Collapsar $ r $ - 过程贡献限制为$ \ lysSim0.2 $ M $ _ \ odot $,在我们考虑的型号下,具有恒定的周期性密度,可提供更严格的约束。虽然我们的结果是紧张的,而Collapsars是大多数$ r $ $ $的生产地点,但折叠风的弹出质量和速度概况尚未很好地建模。因此,我们的结果目前受到巨大的不确定性,但是进一步的理论工作可以大大改善它们。

The heaviest elements in the Universe are synthesized through rapid neutron capture ($r$-process) in extremely neutron rich outflows. Neutron star mergers were established as an important $r$-process source through the multi-messenger observation of GW170817. Collapsars were also proposed as a potentially major source of heavy elements; however, this is difficult to probe through optical observations due to contamination by other emission mechanisms. Here we present observational constraints on $r$-process nucleosynthesis by collapsars based on radio follow-up observations of nearby long gamma-ray bursts. We make the hypothesis that late-time radio emission arises from the collapsar wind ejecta responsible for forging $r$-process elements, and consider the constraints that can be set on this scenario using radio observations of a sample of Swift/BAT GRBs located within 2 Gpc. No radio counterpart was identified in excess of the radio afterglow of the GRBs in our sample, limiting the collapsar $r$-process contribution to $\lesssim0.2$ M$_\odot$ under the models we considered, with constant circum-merger densities giving more stringent constraints. While our results are in tension with collapsars being the majority $r$-process production sites, the ejecta mass and velocity profile of collapsar winds is not yet well modeled. As such, our results are currently subject to large uncertainties, but further theoretical work could greatly improve them.

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