Nothing Special   »   [go: up one dir, main page]

CERN Accelerating science

Article
Report number arXiv:1912.07620 ; CERN-TH-2019-222 ; MITP/19-087 ; INR-TH-2019-025
Title Looking for MACHOs in the Spectra of Fast Radio Bursts
Author(s) Katz, Andrey (CERN ; Geneva U., CAP) ; Kopp, Joachim (CERN ; U. Mainz, PRISMA) ; Sibiryakov, Sergey (CERN ; EPFL, Lausanne, LPPC ; Moscow, INR) ; Xue, Wei (CERN ; Florida U.)
Publication 2020-07-21
Imprint 2019-12-16
Number of pages 17
Note 34 pages, 11 figures. code available at https://github.com/andrey-katz/FRB_lensing
In: Mon. Not. R. Astron. Soc. 496 (2020) 564-580
DOI 10.1093/mnras/staa1497 (publication)
Subject category hep-ph ; Particle Physics - Phenomenology ; astro-ph.HE ; Astrophysics and Astronomy ; astro-ph.CO ; Astrophysics and Astronomy
Abstract We explore a novel search strategy for dark matter in the form of massive compact halo objects (MACHOs) such as primordial black holes or dense mini-halos in the mass range from $10^{-4}$ to 0.1 solar masses. These objects can gravitationally lens the signal of fast radio bursts (FRBs), producing a characteristic interference pattern in the frequency spectrum, similar to the previously studied femtolensing signal in gamma ray burst spectra. Unlike traditional searches using microlensing, FRB lensing will probe the abundance of MACHOs at cosmological distance scales ( Gpc) rather than just their distribution in the neighborhood of the Milky Way. The method is thus particularly relevant for dark mini-halos, which may be inaccessible to microlensing due to their finite spatial extent or tidal disruption in galaxies. We find that the main complication in FRB lensing will be interstellar scintillation in the FRB's host galaxy and in the Milky Way. Scintillation is difficult to quantify because it heavily depends on turbulence in the interstellar medium, which is poorly understood. We show that, nevertheless, for realistic scintillation parameters, FRB lensing can set competitive limits on compact dark matter object, and we back our findings with explicit simulations.
Copyright/License publication: © 2020-2024 The Authors (License: CC-BY-4.0)
preprint: (License: arXiv nonexclusive-distrib 1.0)



Corresponding record in: Inspire


 Záznam vytvorený 2019-12-19, zmenený 2022-05-11


Fulltext from publisher:
Nahraj plný textPDF
Plný text:
Nahraj plný textPDF
External link:
Nahraj plný textGitHub