Strong constraints from COSINE-100 on the DAMA dark matter results using the same sodium iodide target
- Authors
- Adhikari, Govinda; de Souza, Estella B.; Carlin, Nelson; Choi, Jae Jin; Choi, Seonho; Djamal, Mitra; Ezeribe, Anthony C.; Franca, Luis E.; Ha, Chang Hyon; Hahn, In Sik; Jeon, Eunju; Jo, Jay Hyun; Joo, Han Wool; Kang, Woon Gu; Kauer, Matthew; Kim, Hyounggyu; Kim, Hongjoo; Kim, Kyungwon; Kim, Sunghyun; Kim, Sun Kee; Kim, Won Kyung; Kim, Yeongduk; Kim, Yong-Hamb; Ko, Young Ju; Lee, Eun Kyung; Lee, Hyunseok; Lee, Hyun Su; Lee, Hye Young; Lee, In Soo; Lee, Jaison; Lee, Jooyoung; Lee, Moo Hyun; Lee, Seo Hyun; Lee, Seung Mok; Leonard, Douglas; Manzato, Bruno B.; Maruyama, Reina H.; Neal, Robert J.; Olsen, Stephen L.; Park, Byung Ju; Park, Hyang Kyu; Park, Hyeonseo; Park, Kangsoon; Pitta, Ricardo L. C.; Prihtiadi, Hafizh; Ra, Sejin; Rott, Carsten; Shin, Keon Ah; Scarff, Andrew; Spooner, Neil J. C.; Thompson, William G.; Yang, Liang; Yu, Gyun Ho
- Issue Date
- 11월-2021
- Publisher
- AMER ASSOC ADVANCEMENT SCIENCE
- Citation
- SCIENCE ADVANCES, v.7, no.46
- Indexed
- SCIE
SCOPUS
- Journal Title
- SCIENCE ADVANCES
- Volume
- 7
- Number
- 46
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/135858
- DOI
- 10.1126/sciadv.abk2699
- ISSN
- 2375-2548
- Abstract
- We present new constraints on dark matter interactions using 1.7 years of COSINE-100 data. The COSINE-100 experiment, consisting of 106 kg of tallium-doped sodium iodide [NaI(Tl)] target material, is aimed to test DAMA's claim of dark matter observation using the same NaI(Tl) detectors. Improved event selection requirements, a more precise understanding of the detector background, and the use of a larger dataset considerably enhance the COSINE-100 sensitivity for dark matter detection. No signal consistent with the dark matter interaction is identified and rules out model-dependent dark matter interpretations of the DAMA signals in the specific context of standard halo model with the same NaI(Tl) target for various interaction hypotheses.
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Collections - Graduate School > Department of Accelerator Science > 1. Journal Articles
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