Exploring the Origin of Supermassive Black Holes with Coherent Neutrino Scattering

Abstract

Collapsing supermassive stars ($M\gtrsim 3\times 10^4{M}_{\odot }$) at high redshifts can naturally provide seeds and explain the origin of the supermassive black holes observed in the centers of nearly all galaxies. During the collapse of supermassive stars, a burst of non-thermal neutrinos is generated with a luminosity that could greatly exceed that of a conventional core collapse supernova explosion. In this work, we investigate the extent to which the neutrinos produced in these explosions can be observed via coherent elastic neutrino-nucleus scattering (CE$\nu$NS). Large scale direct dark matter detection experiments provide particularly favorable targets. We find that upcoming $\mathcal{O}(100)$ tonne-scale experiments will be sensitive to the collapse of individual supermassive stars at distances as large as $\mathcal{O}(10)$ Mpc.

9 pages, 5 figures, 2 tables; v2: matches published version

References in corpus (16)

• A luminous quasar at a redshift of z = 7.085
• Observation of Coherent Elastic Neutrino-Nucleus Scattering
• An ultra-luminous quasar with a twelve-billion-solar-mass black hole at redshift 6.30
• DARWIN: towards the ultimate dark matter detector
• Neutrino Backgrounds to Dark Matter Searches
• The Evolution of Supermassive Population III Stars
• Very high redshift quasars and the rapid emergence of super-massive black holes
• The Final Fates of Accreting Supermassive Stars
• Gravitational waves from supermassive stars collapsing to a supermassive black hole
• Solar neutrino physics with low-threshold dark matter detectors
• On the Direct Detection of Dark Matter Annihilation
• Monochromatic dark neutrinos and boosted dark matter in noble liquid direct detection
• The Final Fate of Supermassive $M\sim 5\times 10^4{M}_{\odot }$ Pop III Stars: Explosion or Collapse?
• Time-integrated directional detection of dark matter
• Target dependence of the annual modulation in direct dark matter searches
• Prospects for Distinguishing Dark Matter Models Using Annual Modulation