New directions in the search for dark matter

Rajendran, Surjeet

doi:10.21468/SciPostPhysLectNotes.56

SciPost Physics Lecture Notes

New directions in the search for dark matter

Surjeet Rajendran

SciPost Phys. Lect. Notes 56 (2022) · published 23 May 2022

Part of the 2021-07: Dark Matter Collection in the Les Houches Summer School Lecture Notes Series.

doi: 10.21468/SciPostPhysLectNotes.56
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Abstract

The identification of the nature of dark matter is one of the most important problems confronting particle physics. Current observational constraints permit the mass of the dark matter to range from $\sim 10^{-22}$ eV - $10^{48}$ GeV. Given the weak nature of these bounds and the ease with which dark matter models can be constructed, it is clear that the problem can only be solved experimentally. In these lectures, I discuss methods to experimentally probe a wide range of dark matter candidates.

TY  - JOUR
PB  - SciPost Foundation
DO  - 10.21468/SciPostPhysLectNotes.56
TI  - New directions in the search for dark matter
PY  - 2022/05/23
UR  - https://scipost.org/SciPostPhysLectNotes.56
JF  - SciPost Physics Lecture Notes
JA  - SciPost Phys. Lect. Notes
SP  - 56
A1  - Rajendran, Surjeet
AB  - The identification of the nature of dark matter is one of the most important problems confronting particle physics. Current observational constraints permit the mass of the dark matter to range from $\sim 10^{-22}$ eV - $10^{48}$ GeV. Given the weak nature of these bounds and the ease with which dark matter models can be constructed, it is clear that the problem can only be solved experimentally. In these lectures, I discuss methods to experimentally probe a wide range of dark matter candidates.
ER  -

@Article{10.21468/SciPostPhysLectNotes.56,
	title={{New directions in the search for dark matter}},
	author={Surjeet Rajendran},
	journal={SciPost Phys. Lect. Notes},
	pages={56},
	year={2022},
	publisher={SciPost},
	doi={10.21468/SciPostPhysLectNotes.56},
	url={https://scipost.org/10.21468/SciPostPhysLectNotes.56},
}

Cited by 3

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¹ Surjeet Rajendran

¹ Johns Hopkins University [JHU]

Funders for the research work leading to this publication