Identification of primordial black hole mergers at cosmological distances

ORAL

Abstract

The abundance of primordial black holes (PBHs), which may form from the collapse of primordial overdensities right after the Big Bang, is still uncertain. One of the smoking gun evidence can be the gravitational wave (GWs) emitted from binary black hole (BBH) mergers of PBHs at redshifts $z\gtrsim 30$, where the formation of astrophysical black holes is unlikely. Future ground-based GW detectors, Cosmic Explorer ICE) and Einstein Telescope (ET), will be able to observe equal-mass BBH mergers with total mass of $\mathcal{O}(10-100)~\msun$ at such distances. We simulate BBHs of different masses, mass ratios and orbital orientations to investigate whether the redshift measurement of a single BBH source can be precise enough to establish its primordial origin. With a network of one ET in Europe, one 40-km CE in the US and one 20-km CE in Australia, we show that one can constrain $z>30$ at up to 97\% credibility for BBHs with total masses between $20~\msun$ and $40~\msun$ merging at $z \geq 40$ one.

We then assess the dependence of this result on the Bayesian redshift priors used for the analysis, specifically on the relative abundance of the BBH mergers originated from the first stars, and the primordial BBH mergers.

*KKYN and SV are supported by the NSF through the award PHY-1836814. SC is supported by the Undergraduate Research Opportunities Program of Massachusetts Institute of Technology.The work of MM is supported by the Swiss National Science Foundation and by the SwissMap National Center for Competence in Research. MB acknowledges support from the European Union's Horizon 2020 Programme under the AHEAD2020 project (grant agreement n. 871158). BSS is supported in part by NSF Grant No. PHY-1836779, AST-2006384 and PHY- 2012083. SB is supported by NSF Grant No.PHY-1836779. BG is supported by the Italian Ministry of Education, University and Research within the PRIN 2017 Research Program Framework, n. 2017SYRTCN.

Publication: https://arxiv.org/abs/2108.07276

Presenters

  • Ken K Ng

    • Massachusetts Institute of Technology
    • Massachusetts Institute of Technology MI

Authors

  • Ken K Ng

    • Massachusetts Institute of Technology
    • Massachusetts Institute of Technology MI
  • Shiqi Chen

    • Massachusetts Institute of Technology
  • Boris Goncharov

    • Gran Sasso Science Institute
  • Ulyana Dupletsa

    • Gran Sasso Science Institute
  • Ssohrab Borhanian

    • Friedrich-Schiller-Universit ̈at Jena
    • Pennsylvania State University
  • Marica Branchesi

    • Gran Sasso Science Institute
  • Jan Harms

    • Gran Sasso Science Institute
  • Michele Maggiore

    • Universit ́e de Gen`eve
  • Bangalore S Sathyaprakash

    • Pennsylvania State University
  • Salvatore Vitale

    • Massachusetts Institute of Technology
    • Massachusetts Institute of Technology MIT
    • Massachusetts Institute of Technology MI