Visualizing invisible dark matter annihilation with the CMB and matter power spectrum
Abstract
We study the cosmological signatures of invisibly annihilating dark matter (IAnDM), where DM annihilates into dark radiation particles that are decoupled from the Standard Model (SM). In the simple benchmark model we consider here, such invisible annihilation determines the relic abundance of DM via dark thermal freeze-out. We demonstrate that IAnDM may reveal itself through observable, novel signatures that are correlated: scale-dependent ΔNeff (number of extra effective neutrinos) in the cosmic microwave background (CMB) spectrum due to DM residual annihilation, while the phase of acoustic peaks shifts towards the opposite direction relative to that due to SM neutrinos, resembling the effect due to scattering (fluidlike) thermal dark radiation; in addition, IAnDM induces modifications to the matter power spectrum that resemble those due to warm dark matter. Current data are sensitive to IAnDM with masses up to ~200 keV, while future observations will improve this reach, especially if the late-time DM annihilation cross section is enhanced relative to the standard thermal value, which can be realized in a variety of scenarios. Furthermore, this work also demonstrates a new possibility of realizing thermal sub-MeV DM with observable signals.
- Publication Date:
- Research Org.:
- Univ. of California, Riverside, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1611073
- Alternate Identifier(s):
- OSTI ID: 1546374
- Grant/Contract Number:
- SC0008541
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Physical Review D
- Additional Journal Information:
- Journal Volume: 100; Journal Issue: 2; Journal ID: ISSN 2470-0010
- Publisher:
- American Physical Society (APS)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 79 ASTRONOMY AND ASTROPHYSICS; Astronomy & Astrophysics; Physics; Cosmic microwave background; Particle dark matter
Citation Formats
Cui, Yanou, and Huo, Ran. Visualizing invisible dark matter annihilation with the CMB and matter power spectrum. United States: N. p., 2019.
Web. doi:10.1103/physrevd.100.023004.
Cui, Yanou, & Huo, Ran. Visualizing invisible dark matter annihilation with the CMB and matter power spectrum. United States. https://doi.org/10.1103/physrevd.100.023004
Cui, Yanou, and Huo, Ran. Fri .
"Visualizing invisible dark matter annihilation with the CMB and matter power spectrum". United States. https://doi.org/10.1103/physrevd.100.023004. https://www.osti.gov/servlets/purl/1611073.
@article{osti_1611073,
title = {Visualizing invisible dark matter annihilation with the CMB and matter power spectrum},
author = {Cui, Yanou and Huo, Ran},
abstractNote = {We study the cosmological signatures of invisibly annihilating dark matter (IAnDM), where DM annihilates into dark radiation particles that are decoupled from the Standard Model (SM). In the simple benchmark model we consider here, such invisible annihilation determines the relic abundance of DM via dark thermal freeze-out. We demonstrate that IAnDM may reveal itself through observable, novel signatures that are correlated: scale-dependent ΔNeff (number of extra effective neutrinos) in the cosmic microwave background (CMB) spectrum due to DM residual annihilation, while the phase of acoustic peaks shifts towards the opposite direction relative to that due to SM neutrinos, resembling the effect due to scattering (fluidlike) thermal dark radiation; in addition, IAnDM induces modifications to the matter power spectrum that resemble those due to warm dark matter. Current data are sensitive to IAnDM with masses up to ~200 keV, while future observations will improve this reach, especially if the late-time DM annihilation cross section is enhanced relative to the standard thermal value, which can be realized in a variety of scenarios. Furthermore, this work also demonstrates a new possibility of realizing thermal sub-MeV DM with observable signals.},
doi = {10.1103/physrevd.100.023004},
journal = {Physical Review D},
number = 2,
volume = 100,
place = {United States},
year = {Fri Jul 12 00:00:00 EDT 2019},
month = {Fri Jul 12 00:00:00 EDT 2019}
}
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