Projected sensitivity to sub-GeV dark matter of next-generation semiconductor detectors
Journal article, 2020

We compute the projected sensitivity to dark matter (DM) particles in the sub-GeV mass range of future direct detection experiments using germanium and silicon semiconductor targets. We perform this calculation within the dark photon model for DM-electron interactions using the likelihood ratio as a test statistic, Monte Carlo simulations, and background models that we extract from recent experimental data. We present our results in terms of DM-electron scattering cross section values required to reject the background only hypothesis in favour of the background plus DM signal hypothesis with a statistical significance, Z, corresponding to 3 or 5 standard deviations. We also test the stability of our conclusions under changes in the astrophysical parameters governing the local space and velocity distribution of DM in the Milky Way. In the best-case scenario, when a high-voltage germanium detector with an exposure of 50 kg-year and a CCD silicon detector with an exposure of 1 kg-year and a dark current rate of 1×10-7 counts/pixel/day have simultaneously reported a DM signal, we find that the smallest cross section value compatible with Z=3 (Z=5) is about 4×10-42 cm2 (6×10-42 cm2) for contact interactions, and 2.5×10-41 cm2 (4×10-41 cm2) for long-range interactions. Our sensitivity study extends and refine previous works in terms of background models, statistical methods, and treatment of the underlying astrophysical uncertainties.

dark matter experiments

dark matter theory


Erik Andersson

Student at Chalmers

Alex Bökmark

Student at Chalmers

Riccardo Catena

Chalmers, Physics, Subatomic, High Energy and Plasma Physics

Timon Emken

Chalmers, Physics, Subatomic, High Energy and Plasma Physics

Henrik Klein Moberg

Student at Chalmers

Emil Astrand

Student at Chalmers

Journal of Cosmology and Astroparticle Physics

14757516 (eISSN)

Vol. 2020 5 036

Subject Categories

Astronomy, Astrophysics and Cosmology



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