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A gravitational-wave limit on the Chandrasekhar mass of dissipative dark matter: Constraining the abundance and mass spectrum of dark matter black holes using gravitational wave observations of binary black holes

ORAL

Abstract

Dissipative dark matter models predict the formation of black holes through sufficient cooling and collapse of dark matter halos. In [1], Shandera et al. discuss the formation and expected mass distributions for such dark black holes(DBHs), and present expected event rates for dark black hole mergers that could be observed by Advanced LIGO and the Einstein Telescope for a range of dark black hole model parameters. Following the same dark atomic model and using LIGO and Virgo gravitational-wave observations of binary black-holes from GWTC-2 [2], we constrain the abundance and minimum mass of dark black holes in two cases - if GW190425 is a DBH binary or if none of the binary BHs from GWTC-2 are DBHs. Interpreting GW190425 as a dark matter black-hole binary limits the Chandrasekhar mass for dark matter to be below 1.4M⊙ at > 99.9% confidence implying that the dark proton is heavier than 0.95 GeV. Similarly, results from GWTC-3[4] and subsolar mass searches for compact objects in data from LIGO-Virgo’s third observing run[5] can further constrain the abundance of dissipative dark matter as a function of the minimum possible mass of DBHs, and provide an insight into the mass of the dark proton.

[1] Shandera S. et al. PhysRevLett.120.241102

[2] LIGO-Virgo Collaborations: Abbott R. et al. PhysRevX.11.021053

[4] LIGO-Virgo Collaborations: Abbott R. et al. e-Print: 2111.03606 [gr-qc]

[5] LIGO-Virgo Collaborations: Abbott R. et al. e-Print: 2109.12197 [astro-ph.CO]

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Publication: Singh, Divya and Ryan, Michael and Magee, Ryan and Akhter, Towsifa and Shandera, Sarah and Jeong, Donghui and Hanna, Chad (2021). Gravitational-wave limit on the Chandrasekhar mass of dark matter. Physical Review D. 104. 10.1103/PhysRevD.104.044015

Presenters

  • Divya Singh

    Pennsylvania State University

Authors

  • Divya Singh

    Pennsylvania State University

  • Michael Ryan

    Pennsylvania State University

  • RYAN MAGEE

    LIGO Laboratory, Caltech

  • Towsifa Akhter

    Pennsylvania State University

  • Sarah E Shandera

    Pennsylvania State University

  • Donghui Jeong

    Pennsylvania State University

  • Chad R Hanna

    Pennsylvania State University