Abstract
The Standard Model (SM) does not provide an information for 26% of dark matter of
the universe. In the dark sector, dark matter is supposed to be linked with the
hypothetical particles called dark photons that have similar role to photons in
electromagnetic interaction in the SM. Besides astronomical observation, there
are studies to find dark matter candidates using accelerators. In this paper, we
searched for dark photons using future electron-positron colliders, including
Circular Electron Positron Collider (CEPC)/CEPC, Future Circular Collider
(FCC-ee)/Innovative Detector for Electron-positron Accelerator (IDEA), and
International Linear Collider (ILC)/International Large Detector (ILD). Using
the parameterized response of the detector simulation of Delphes, we studied the
sensitivity of a double dark photon mode at each accelerator/detector. The
signal mode is double dark photon decay channel,
e+e− →
A’A’, where
A’ (dark photon with spin 1) decaying into a muon
pair. We used MadGraph5 to generate Monte Carlo (MC) events by means of a
Simplified Model. We found the dark photon mass at which the cross-sections were
the highest for each accelerator to obtain the maximum number of events. In this
paper we show the expected number of dark photon signal events and the detector
efficiency of each accelerator. The results of this study can facilitate in the
dark photon search by future electron-positron accelerators.
Funder
National Research Foundation of Korea
Publisher
The Korean Space Science Society
Subject
General Earth and Planetary Sciences,General Physics and Astronomy
Reference22 articles.
1. Aaij R, Adeva B, Adinolfi M, Ajaltouni Z, Akar S, et al., Search for
dark photons produced in 13 TeV pp collisions, Phys. Rev. Lett. 120, 061801
(2018).
2. Abdallah J, Araujo H, Arbey A, Ashkenazi A, Belyaev A, et al.,
Simplified models for dark matter searches at the LHC, Phys. Dark Universe 9-10,
8-23 (2015).
3. Alwall J, Frederix R, Frixione S, Hirschi V, Maltoni O, et al., The
automated computation of tree-level and next-to-leading order differential cross
sections, and their matching to parton shower simulations, J. High Energy Phys.
07, 79 (2014). 10.1007/JHEP07(2014)079
4. Brun R, Rademakers F, ROOT: an object oriented data analysis
framework, Nucl. Instrum. Methods Phys. Res. Sect. A 389, 81-86 (1997). 10.1016/S0168-9002(97)00048-X
5. Cho K, e-Science paradigm for astroparticle physics at KISTI, J.
Astron. Space Sci. 33, 63-67 (2016). 10.5140/JASS.2016.33.1.63