A likelihood framework for cryogenic scintillating calorimeters used in the CRESST dark matter search

Author:

,Angloher G.,Banik S.,Benato G.,Bento A.,Bertolini A.,Breier R.,Bucci C.,Burkhart J.,Canonica L.,D’Addabbo A.,Lorenzo S. Di,Einfalt L.,Erb A.,Feilitzsch F. v.,Fichtinger S.,Fuchs D.,Garai A.,Ghete V. M.,Gorla P.,Guillaumon P. V.,Gupta S.,Hauff D.,Ješkovský M.,Jochum J.,Kaznacheeva M.,Kinast A.,Kluck H.,Kraus H.,Kuckuk S.,Langenkämper A.,Mancuso M.,Marini L.,Mauri B.,Meyer L.,Mokina V.,Olmi M.,Ortmann T.,Pagliarone C.,Pattavina L.,Petricca F.,Potzel W.,Povinec P.,Pröbst F.,Pucci F.,Reindl F.,Rothe J.,Schäffner K.,Schieck J.,Schmiedmayer D.,Schönert S.,Schwertner C.,Stahlberg M.,Stodolsky L.,Strandhagen C.,Strauss R.,Usherov I.,Wagner F.,Wagner V.,Zema V.

Abstract

AbstractCryogenic scintillating calorimeters are ultra- sensitive particle detectors for rare event searches, particularly for the search for dark matter and the measurement of neutrino properties. These detectors are made from scintillating target crystals generating two signals for each particle interaction. The phonon (heat) signal precisely measures the deposited energy independent of the type of interacting particle. The scintillation light signal yields particle discrimination on an event-by-event basis. This paper presents a likelihood framework modeling backgrounds and a potential dark matter signal in the two-dimensional plane spanned by phonon and scintillation light energies. We apply the framework to data from CaWO$$_4$$ 4 -based detectors operated in the CRESST dark matter search. For the first time, a single likelihood framework is used in CRESST to model the data and extract results on dark matter in one step by using a profile likelihood ratio test. Our framework simultaneously fits (neutron) calibration data and physics (background) data and allows combining data from multiple detectors. Although tailored to CaWO$$_4$$ 4 -targets and the CRESST experiment, the framework can easily be expanded to other materials and experiments using scintillating cryogenic calorimeters for dark matter search and neutrino physics.

Publisher

Springer Science and Business Media LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3