Roughness-Induced Pavement–Vehicle Interactions
Name
TRR-Roughness2-Accepted.pdf
Size
1.55 MB
Format
Adobe PDF
Checksum (MD5)
34139a5ebb5e14f79a2e289a5da37f21
Author(s)
Louhghalam, Arghavan
Akbarian, Mehdi
Ulm, Franz-Josef
Date Issued
January 2015
Journal
Transportation Research Record: Journal of the Transportation Research Board
Publisher
SAGE Publications
Citation
Louhghalam, Arghavan, et al. “Roughness-Induced Pavement–Vehicle Interactions: Key Parameters and Impact on Vehicle Fuel Consumption.” Transportation Research Record: Journal of the Transportation Research Board, vol. 2525, Jan. 2015, pp. 62–70.
Version
Original manuscript
Abstract
We explore the possibility that bound states involving dark matter particles could be detected by resonance searches at the LHC and the generic implications of such scenarios for indirect and direct detection. We demonstrate that resonance searches are complementary to monojet searches and can probe dark matter masses above 1 TeV with current LHC data. We argue that this parameter regime, in which the bound-state resonance channel is the most sensitive probe of the dark sector, arises most naturally in the context of nontrivial dark sectors with large couplings, nearly degenerate dark matter–like states, and multiple force carriers. If dark sector bound states are present and can be detected at the LHC, annihilation of dark matter particles in our galactic halo may occur either with a minimal Sommerfeld enhancement that may be appreciable or through radiative bound-state formation, leading to large signals in indirect searches. We calculate these complementary constraints, which favor either models in which the bound state–forming dark matter constitutes a small fraction of the total density or models in which the late-time annihilation is suppressed at low velocities or late times. We present concrete examples of models that satisfy all these constraints and in which the LHC resonance search is the most sensitive probe of the dark sector.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3141/2525-07
