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How to assess the primordial origin of single gravitational-wave events with mass, spin, eccentricity, and deformability measurements

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arxiv 2112.10660 v2 pith:YM5CX2MU submitted 2021-12-20 astro-ph.CO astro-ph.HEgr-qchep-phhep-th

classification astro-ph.COastro-ph.HEgr-qchep-phhep-th
keywords primordialorigincurrenteventsallowbinarydeformabilitydetectors
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A population of primordial black holes formed in the early Universe could contribute to at least a fraction of the black-hole merger events detectable by current and future gravitational-wave interferometers. With the ever-increasing number of detections, an important open problem is how to discriminate whether a given event is of primordial or astrophysical origin. We systematically present a comprehensive and interconnected list of discriminators that would allow us to rule out, or potentially claim, the primordial origin of a binary by measuring different parameters, including redshift, masses, spins, eccentricity, and tidal deformability. We estimate how accurately future detectors (such as the Einstein Telescope and LISA) could measure these quantities, and we quantify the constraining power of each discriminator for current interferometers. We apply this strategy to the GWTC-3 catalog of compact binary mergers. We show that current measurement uncertainties do not allow us to draw solid conclusions on the primordial origin of individual events, but this may become possible with next-generation ground-based detectors.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. The Irrelevance of Primordial Black Hole Clustering in the LVK mass range

    astro-ph.CO 2025-02 accept novelty 6.0 of 10

    Initial spatial clustering of primordial black holes is irrelevant for binary mergers in the LVK mass range because FIRAS spectral-distortion constraints limit the clustering scale to below the merger-relevant separat...

  2. January Food Benchmark (JFB): A Public Benchmark Dataset and Evaluation Suite for Multimodal Food Analysis

    cs.CV 2025-08 reject novelty 4.0 of 10

    The abstract promises a food-image benchmark and a winning model, but the manuscript pages contain only a different paper on primordial black holes, leaving every benchmark claim unsubstantiated.

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