Abstract

We have studied the complete set of dimension 5 and dimension 6 effective operators involving the interaction of scalar, fermion and vector Dark Matter (DM) with SM quarks and gluons, to explore the possibility to distinguish these operators and characterise the spin of DM at the LHC. We have found that three factors — the effective dimension of the operator, the structure of the SM part of the operator and the parton densities of the SM particles connected to the operator — uniquely define the shape of the (unobservable) invariant mass distribution of the DM pair and, consequently, the shape of the (observable) ETmiss distribution related to it. Using χ2 analysis, we found that at the LHC, with a luminosity of 300 fb−1, certain classes of EFT operators can be distinguished from each other. Hence, since DM spin is partly correlated with the factors defining the shape of ETmiss, the LHC can potentially shed a light also on DM spin. We have also observed a drastic difference in the efficiencies (up to two orders of magnitude) for large ETmiss cuts scenarios with different DM spin, thus indicating that the DM discovery potential strongly depends on it. The study we perform here can be applied more generally than within the EFT paradigm, where the DM mediator is not produced on-the-mass-shell, such as the case of t-channel mediator or mediator with mass below 2MDM, where the invariant mass of the DM pair is not fixed.

Details

Title
Dark Matter characterization at the LHC in the Effective Field Theory approach
Author
Belyaev, Alexander 1   VIAFID ORCID Logo  ; Panizzi Luca 1 ; Pukhov, Alexander 2 ; Thomas, Marc 1 

 University of Southampton, School of Physics and Astronomy, Southampton, U.K. (GRID:grid.5491.9) (ISNI:0000 0004 1936 9297); Rutherford Appleton Laboratory, Particle Physics Department, Didcot, U.K. (GRID:grid.76978.37) (ISNI:0000 0001 2296 6998) 
 Moscow State University, Skobeltsyn Institute of Nuclear Physics, Moscow, Russia (GRID:grid.14476.30) (ISNI:0000 0001 2342 9668) 
Publication year
2017
Publication date
Apr 2017
Publisher
Springer Nature B.V.
e-ISSN
10298479
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1891978994
Copyright
© The Author(s) 2017. This work is published under https://creativecommons.org/licenses/by/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.