Title |
Searching for Dark Photon Dark Matter with Gravitational-Wave Detectors
|
---|---|
Published in |
Physical Review Letters, August 2018
|
DOI | 10.1103/physrevlett.121.061102 |
Pubmed ID | |
Authors |
Aaron Pierce, Keith Riles, Yue Zhao |
Abstract |
If dark matter stems from the background of a very light gauge boson, this gauge boson could exert forces on test masses in gravitational wave detectors, resulting in displacements with a characteristic frequency set by the gauge boson mass. We outline a novel search strategy for such dark matter, assuming the dark photon is the gauge boson of U(1)_{B} or U(1)_{B-L}. We show that both ground-based and future space-based gravitational wave detectors have the capability to make a 5σ discovery in unexplored parameter regimes. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 33% |
Chile | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 50% |
Members of the public | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 44 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 30% |
Researcher | 7 | 16% |
Professor | 4 | 9% |
Student > Doctoral Student | 2 | 5% |
Lecturer | 2 | 5% |
Other | 7 | 16% |
Unknown | 9 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Physics and Astronomy | 32 | 73% |
Materials Science | 1 | 2% |
Unknown | 11 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 41. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 July 2022.
All research outputs
#955,076
of 24,462,749 outputs
Outputs from Physical Review Letters
#2,968
of 37,454 outputs
Outputs of similar age
#20,911
of 335,170 outputs
Outputs of similar age from Physical Review Letters
#84
of 668 outputs
Altmetric has tracked 24,462,749 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 37,454 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. This one has done particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 335,170 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 668 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.