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Light Dark Matter Searches at Accelerators and the LDMX Experiment

Echenard, Bertrand (2019) Light Dark Matter Searches at Accelerators and the LDMX Experiment. In: Illuminating Dark Matter: Proceedings of a Simons Symposium. Astrophysics and Space Science Proceedings. No.56. Springer , Cham, pp. 49-57. ISBN 978-3-030-31592-4. https://resolver.caltech.edu/CaltechAUTHORS:20191125-091548263

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Abstract

Accelerator-based experiments are playing an increasingly essential role in exploring the nature of dark matter. Several approaches have been proposed to search for light dark matter at collider and beam-dump experiments, providing unique sensitivity to several well-motivated scenarios. In this contribution, we review the current experimental situation and future efforts in that domain, emphasizing the advantages and challenges of each technique. A new proposal offering unprecedented sensitivity to directly annihilating thermal dark matter, the LDMX experiment, is also presented.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1007/978-3-030-31593-1_6DOIArticle
https://rdcu.be/b3RQfPublisherFree ReadCube access
Additional Information:© 2019 Springer Nature Switzerland AG. First Online: 23 November 2019. We would like to thank the Simons foundation and the organizers of the symposium. The author is indebted to N. Toro, R. Essig, and G. Krnjaic for their useful discussion and providing several figures. This work has also benefited from the many contributions of the members of the LDMX Collaboration. The author is supported by the US Department of Energy under grant DE-SC0011925.
Funders:
Funding AgencyGrant Number
Simons FoundationUNSPECIFIED
Department of Energy (DOE)DE-SC0011925
Subject Keywords:Light dark matter; Accelerators; Missing momentum; LDMX
Series Name:Astrophysics and Space Science Proceedings
Issue or Number:56
Record Number:CaltechAUTHORS:20191125-091548263
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20191125-091548263
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:100022
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:25 Nov 2019 17:56
Last Modified:29 Apr 2020 16:38

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