TY  - JOUR
AU  - Bertone, G.
AU  - Bozorgnia, N.
AU  - Kim, J. S.
AU  - Liem, S.
AU  - McCabe, C.
AU  - Otten, S.
AU  - Ruiz de Austri, R.
PY  - 2018
DA  - 2018//
TI  - Identifying WIMP dark matter from particle and astroparticle data
T2  - J. Cosmol. Astropart. Phys.
JO  - Journal of Cosmology and Astroparticle Physics
SP  - 026
EP  - 42pp
VL  - 03
IS  - 3
PB  - Iop Publishing Ltd
KW  - dark matter detectors
KW  - dark matter experiments
KW  - dark matter theory
AB  - One of the most promising strategies to identify the nature of dark matter consists in the search for new particles at accelerators and with so-called direct detection experiments. Working within the framework of simplified models, and making use of machine learning tools to speed up statistical inference, we address the question of what we can learn about dark matter from a detection at the LHC and a forthcoming direct detection experiment. We show that with a combination of accelerator and direct detection data, it is possible to identify newly discovered particles as dark matter, by reconstructing their relic density assuming they are weakly interacting massive particles (WIMPs) thermally produced in the early Universe, and demonstrating that it is consistent with the measured dark matter abundance. An inconsistency between these two quantities would instead point either towards additional physics in the dark sector, or towards a non-standard cosmology, with a thermal history substantially different from that of the standard cosmological model.
SN  - 1475-7516
UR  - http://arxiv.org/abs/1712.04793
UR  - https://doi.org/10.1088/1475-7516/2018/03/026
DO  - 10.1088/1475-7516/2018/03/026
LA  - English
N1  - WOS:000427501000002
ID  - Bertone_etal2018
ER  -