Primordial Black Hole Microlensing: The Einstein Crossing Time Distribution
Abstract
Gravitational microlensing is one of the few means of finding primordial black holes (PBHs), if they exist. Recent LIGO detections of 30 M⊙ black holes have re-invigorated the search for PBHs in the 10–100 M⊙ mass regime. Furthermore, individual PBH microlensing events cannot easily be distinguished from stellar lensing events from photometry alone. However, the distribution of microlensing timescales (tE, the Einstein radius crossing time) can be analyzed in a statistical sense using models of the Milky Way with and without PBHs. While previous works have presented both theoretical models and observational constrains for PBHs (e.g., Calcino et al. 2018; Niikura et al. 2019), surprisingly, they rarely show the observed quantity—the tE distribution—for different abundances of PBHs relative to the total dark matter mass (fPBH).
- Authors:
-
[1];
[2];
[3];
[3]
- Univ. of California, Berkeley, CA (United States)
- Univ. of California, Berkeley, CA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Publication Date:
- Research Org.:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1572252
- Report Number(s):
- LLNL-JRNL-795261
Journal ID: ISSN 2515-5172; 996328
- Grant/Contract Number:
- AC52-07NA27344
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Research Notes of the AAS
- Additional Journal Information:
- Journal Volume: 3; Journal Issue: 4; Journal ID: ISSN 2515-5172
- Publisher:
- IOP Publishing
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 79 ASTRONOMY AND ASTROPHYSICS; black hole physics; dark matter; inflation; Galaxy: halo; gravitational lensing: micro
Citation Formats
Lu, Jessica R., Lam, Casey Y., Medford, Michael, Dawson, William, and Golovich, Nathan. Primordial Black Hole Microlensing: The Einstein Crossing Time Distribution. United States: N. p., 2019.
Web. doi:10.3847/2515-5172/ab1421.
Lu, Jessica R., Lam, Casey Y., Medford, Michael, Dawson, William, & Golovich, Nathan. Primordial Black Hole Microlensing: The Einstein Crossing Time Distribution. United States. https://doi.org/10.3847/2515-5172/ab1421
Lu, Jessica R., Lam, Casey Y., Medford, Michael, Dawson, William, and Golovich, Nathan. Mon .
"Primordial Black Hole Microlensing: The Einstein Crossing Time Distribution". United States. https://doi.org/10.3847/2515-5172/ab1421. https://www.osti.gov/servlets/purl/1572252.
@article{osti_1572252,
title = {Primordial Black Hole Microlensing: The Einstein Crossing Time Distribution},
author = {Lu, Jessica R. and Lam, Casey Y. and Medford, Michael and Dawson, William and Golovich, Nathan},
abstractNote = {Gravitational microlensing is one of the few means of finding primordial black holes (PBHs), if they exist. Recent LIGO detections of 30 M⊙ black holes have re-invigorated the search for PBHs in the 10–100 M⊙ mass regime. Furthermore, individual PBH microlensing events cannot easily be distinguished from stellar lensing events from photometry alone. However, the distribution of microlensing timescales (tE, the Einstein radius crossing time) can be analyzed in a statistical sense using models of the Milky Way with and without PBHs. While previous works have presented both theoretical models and observational constrains for PBHs (e.g., Calcino et al. 2018; Niikura et al. 2019), surprisingly, they rarely show the observed quantity—the tE distribution—for different abundances of PBHs relative to the total dark matter mass (fPBH).},
doi = {10.3847/2515-5172/ab1421},
journal = {Research Notes of the AAS},
number = 4,
volume = 3,
place = {United States},
year = {Mon Apr 01 00:00:00 EDT 2019},
month = {Mon Apr 01 00:00:00 EDT 2019}
}
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Works referencing / citing this record:
Populations of Stellar-mass Black Holes from Binary Systems
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Populations of stellar mass Black holes from binary systems
text, January 2019
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