Search for light dark matter with DAMIC-M experiment
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A90107%2F22%3A00381706" target="_blank" >RIV/68407700:90107/22:00381706 - isvavai.cz</a>
Result on the web
<a href="https://theses.fr/2022IMTA0313" target="_blank" >https://theses.fr/2022IMTA0313</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Search for light dark matter with DAMIC-M experiment
Original language description
DAMIC-M (Dark Matter in CCDs at Modane) is a near-future experiment that aims at searching for low-mass dark matter particles through their interactions with silicon atoms in the bulk of charge-coupled devices(CCDs). Pioneer in this technique was the DAMIC experiment at SNOLAB. Its successor, DAMIC-M, will have a detector mass 17 times larger and will employ a novel CCD technology (skipper amplifiers) to achieve sub-electron readout noise. Strengthened by these characteristics, DAMIC-M will reach unmatched sensitivity to the dark matter candidates of the so-called hidden sector. A challenging requirement is to control the radiogenic background down to the level of a fraction of events perkeV per kg-day of target exposure. To meet this condition, Geant4 based simulations are being utilized to optimize the detector design, drive the material selection and handling, and test background rejection techniques. Furthermore, precise measurements were carried out with skipper CCDs to characterize the spectrum of Compton scattered electrons, which represent a dominant source of environmental background at low energy. This thesis focuses on the explored detector designs, the corresponding predicted background, and the strategies implemented for its mitigation and characterization.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10304 - Nuclear physics
Result continuities
Project
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Continuities
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Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů