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The low-energy spectrum in DAMIC at SNOLAB

by Alvaro E. Chavarria

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Submission summary

Authors (as registered SciPost users): Alvaro Chavarria
Submission information
Preprint Link: https://arxiv.org/abs/2210.00587v1  (pdf)
Date accepted: 2023-04-24
Date submitted: 2022-10-04 19:00
Submitted by: Chavarria, Alvaro
Submitted to: SciPost Physics Proceedings
Proceedings issue: 14th International Conference on Identification of Dark Matter (IDM2022)
Ontological classification
Academic field: Physics
Specialties:
  • Gravitation, Cosmology and Astroparticle Physics
Approach: Experimental

Abstract

The DAMIC experiment employs large-area, thick charge-coupled devices (CCDs) to search for the interactions of low-mass dark matter particles in the galactic halo with silicon atoms in the CCD target. From 2017 to 2019, DAMIC collected data with a seven-CCD array (40-gram target) installed in the SNOLAB underground laboratory. We report dark-matter search results, including a conspicuous excess of events above the background model below 200 eV$_{\rm ee}$, whose origin remains unknown. We present details of the published spectral analysis, and update on the deployment of skipper CCDs to perform a more precise measurement by early 2023.

Published as SciPost Phys. Proc. 12, 011 (2023)


Reports on this Submission

Anonymous Report 1 on 2022-11-7 (Invited Report)

  • Cite as: Anonymous, Report on arXiv:2210.00587v1, delivered 2022-11-07, doi: 10.21468/SciPost.Report.6076

Report

Author presents the status of Dark Matter searches by DAMIC experiment with the details of published analysis. In the manuscript also described low energy excess of unknown origin and attempts to find an explanation to it which leads to an update of the setup with ultra-noise skipper CCDs. The measurement in updated configuration is foreseen by early 2023.
The text is well written and clear. I recommend the manuscript for publication as it is.

  • validity: high
  • significance: high
  • originality: -
  • clarity: high
  • formatting: -
  • grammar: -

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