Bulletin of the American Physical Society
APS April Meeting 2019
Volume 64, Number 3
Saturday–Tuesday, April 13–16, 2019; Denver, Colorado
Session L09: Searches for Light Dark Matter
3:30 PM–5:30 PM,
Sunday, April 14, 2019
Sheraton
Room: Governor's Square 11
Sponsoring
Units:
GPMFC DAMOP
Chair: Andrew Geraci, Northwestern University
Abstract: L09.00006 : Progress in dark matter search with the global positioning system*
4:30 PM–4:42 PM
View Presentation
Abstract
Presenter:
Conner Dailey
(University of Nevada, Reno)
Authors:
Conner Dailey
(University of Nevada, Reno)
Ben Roberts
(University of Nevada, Reno)
Vincent Dumont
(University of Nevada, Reno)
Ibraheem Khan
(University of Nevada, Reno)
Guglielmo Panelli
(University of Nevada, Reno)
Geoffrey Blewitt
(University of Nevada, Reno)
Andrei Derevianko
(University of Nevada, Reno)
The microscopic composition of dark matter remains a mystery, but it could arise from ultralight quantum fields that form macroscopic objects. By analyzing the global positioning system (GPS) satellite atomic clock data, it is possible to search for transient signatures of exotic physics, such as “clumpy” dark matter, by using the GPS constellation as a 50,000 km aperture sensor array. Interactions with domain walls could cause a sequence of atomic clock perturbations that propagate through the satellite constellation at galactic velocities ~ 300 km/s. In initial searches in 16 years of archival data, we found no evidence for domain walls, which improved the limits on certain quadratic scalar couplings of domain wall dark matter to standard model particles by several orders of magnitude [1]. We now characterize two data analysis methods for improving these limits: (i) a matched filter technique and (ii) a Bayesian statistics method [2]. We show that these techniques can improve upon our previously established constraints on dark matter couplings by two orders of magnitude. Details in: Roberts et al., Nat. Commun., 97, 083009 (2017); Roberts et al., Phys. Rev. D, 118, 221102 (2018).
*Supported in part by the National Science Foundation
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