English

On the dark matter origin of an LDMX signal

High Energy Physics - Phenomenology 2025-07-14 v2 Cosmology and Nongalactic Astrophysics High Energy Physics - Experiment

Abstract

Fixed target experiments where beam electrons are focused upon a thin target have shown great potential for probing new physics, including the sub-GeV dark matter (DM) paradigm. However, a signal in future experiments such as the light dark matter experiment (LDMX) would require an independent validation to assert its DM origin. To this end, we propose to combine LDMX and next generation DM direct detection (DD) data in a four-step analysis strategy, which we here illustrate with Monte Carlo simulations. In the first step, the hypothetical LDMX signal (i.e. an excess in the final state electron energy and transverse momentum distributions) is recorded\textit{recorded}. In the second step, a DM DD experiment operates with increasing exposure to test the DM origin of the LDMX signal. Here, LDMX and DD data are simulated. In the third step, a posterior probability density function (pdf) for the DM model parameters is extracted from the DD data, and used to predict\textit{predict} the electron recoil energy and transverse momentum distributions at LDMX. In the last step, predicted\textit{predicted} and recorded\textit{recorded} electron recoil energy and transverse momentum distributions are compared in a chi-square test. We present the results of this comparison in terms of a threshold exposure that a DD experiment has to operate with to assert whether predicted\textit{predicted} and recorded\textit{recorded} distributions can\textit{can} be statistically dependent. We find that this threshold exposure grows with the DM particle mass, mχm_\chi. It varies from 0.012 kg-year for a DM mass of mχ=4m_\chi=4 MeV to 1 kg-year for mχ=25m_\chi=25 MeV, which is or will soon be within reach.

Keywords

Cite

@article{arxiv.2411.10216,
  title  = {On the dark matter origin of an LDMX signal},
  author = {Riccardo Catena and Taylor R. Gray and Andreas Lund},
  journal= {arXiv preprint arXiv:2411.10216},
  year   = {2025}
}

Comments

Version accepted for publication in JCAP