Primordial black holes (PBHs) are objects that formed just fractions of a second after the Big Bang, considered by many researchers among the principal candidates in explaining the nature of dark matter, above all following direct observations of gravitational waves by the VIRGO and LIGO detectors in 2016. “We have tested a scenario in which dark matter is composed of non-stellar black holes, formed in the primordial universe,” says Riccardo Murgia, lead author of the study recently published in Physical Review Letters. The research was carried out together with his colleagues Giulio Scelfo and Matteo Viel of SISSA—International School for Advanced Studies and INFN—Istituto Nazionale di Fisica Nucleare (Trieste division) and Alvise Raccanelli of CERN.
“Primordial black holes remain hypothetical objects for the moment, but they are envisaged in some models of the primordial universe,” says Raccanelli of CERN. “Initially proposed by Stephen Hawking in 1971, they have come back to the fore in recent years as possible candidates for explaining dark matter. It is believed that dark matter accounts for approximately 80 percent of all matter present in the universe, so to explain even just a small part of it would be a major achievement. Looking for evidence of the existence of PBHs, or excluding their existence, also provides us with information of considerable relevance on the physics of the primordial universe.”
Cosmic Forests and Spider Webs
In this work, the scientists concentrated on the abundance of PBHs that are 50 times more massive than the sun. In short, the researchers have tried to better describe several parameters linked to their presence (specifically mass and abundance) by analyzing the interaction of the light emitted from extremely distant quasars with the cosmic web, a network of filaments composed of gas and dark matter present throughout the universe.
Within this dense weave, the scholars have concentrated on the so-called Lyman-alpha forest, the interactions of photons with the hydrogen of cosmic filaments, which presents characteristics closely linked to the fundamental nature of dark matter.
Between Supercomputers and Telescopes
Simulations carried out using the Ulysses supercomputer of SISSA and ICTP have been able to reproduce the interactions between photons and hydrogen. The models have been compared with real interactions detected by the Keck telescope in Hawaii. The researchers were then able to trace several properties of primordial black holes to understand the effects of their presence.
“We used a computer to simulate the distribution of neutral hydrogen on sub-galactic scales, which manifests itself in the form of absorption lines in the spectra of distant sources,” says Murgia. “Comparing the results of our simulations with the data observed, it is possible to establish limits on the mass and abundance of primordial black holes and determine whether and to what extent such candidates constitute dark matter.”
The results of the study seem to disadvantage the case that all dark matter is composed of a certain type of primordial black hole (those with a mass greater than 50 times that of the sun) but they do not totally exclude that they could constitute a fraction of it.
“We have developed a new way to easily and efficiently explore alternative scenarios of the standard cosmological model, according to which dark matter would instead be composed of weakly interacting massive particles (WIMPs).”
These results, important for the construction of new theoretical models and for the development of new hypotheses about the nature of dark matter, offer much more precise indications for tracing the intricate path to understanding one of the largest mysteries of the cosmos.
Riccardo Murgia et al. Lyman- α Forest Constraints on Primordial Black Holes as Dark Matter, Physical Review Letters (2019). DOI: 10.1103/PhysRevLett.123.071102
From primordial black holes new clues to dark matter (2019, September 17)
retrieved 24 September 2019
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
part may be reproduced without the written permission. The content is provided for information purposes only.