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Published November 29, 2016 | Submitted
Journal Article Open

Readout technologies for directional WIMP Dark Matter detection

Abstract

The measurement of the direction of WIMP-induced nuclear recoils is a compelling but technologically challenging strategy to provide an unambiguous signature of the detection of Galactic dark matter. Most directional detectors aim to reconstruct the dark-matter-induced nuclear recoil tracks, either in gas or solid targets. The main challenge with directional detection is the need for high spatial resolution over large volumes, which puts strong requirements on the readout technologies. In this paper we review the various detector readout technologies used by directional detectors. In particular, we summarize the challenges, advantages and drawbacks of each approach, and discuss future prospects for these technologies.

Additional Information

© 2016 Elsevier B.V. Accepted 13 October 2016, Available online 25 October 2016. J.B.R.B. acknowledges the support of the Alfred P. Sloan Foundation (BR2012-011), the National Science Foundation (PHY-1649966), the Research Corporation for Science Advancement (Award #23325), the Massachusetts Space Grant Consortium (NNX16AH49H), and the Wellesley College Summer Science Research program (26179). I.G.I. and the Zaragoza group acknowledges support from the European Research Council (ERC) through the ERC-2009-StG-240054 grant (T-REX project) as well as from the Spanish Ministry of Economy and Competitiveness under grants FPA2008-03456, FPA2011-24058, and FPA2013-41085-P. This work was partially supported by the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant Agreement No. 657751. This work was supported in part by the Office of High Energy Physics of the U.S. Department of Energy (DoE) under contract DE-AC02-05CH11231. F.I. acknowledges the support from the Juan de la Cierva program (JCI-2012-13882). D.L. acknowledges support from the National Science Foundation (NSF) under grants 1407773 and 1506329. This work was partially supported by KAKENHI Grant-in-Aids for Young Scientist(A) (16684004, 19684005, 23684014, 15H05446) KAKENHI Grant-in-Aid for Scientific Research on Innovative Area (26104005); KAKENHI Grant-in-Aids for Scientific Research(A) (16H02189); KAKENHI Grant-in-Aids for Scientific Research(B) (21340063); KAKENHI Grant-in-Aids for Challenging Exploratory Research (23654084, 15K13485); KAKENHI Grant-in-Aids for JSPS Fellows (23-812); from the Ministry of Education, Culture, Sports, Science and Technology (MEXT) of Japan. This work was partially supported by Program for Advancing Strategic International Networks to Accelerate the Circulation of Talented Researchers, JSPS, Japan (R2607). The Royal Holloway, University of London group is supported by ERC Starting Grant number ERC StG 279980 and STFC grant ST/N00034X/1. D.P.S.I. acknowledges support from the NSF under grants 1407754, 1103511, 1521027 and 1506237, and undergraduate student support from Occidental College Undergraduate Research Center summer program. S.V. and the Hawaii group acknowledge support from the U.S. Department of Homeland Security under Award Number 2011-DN-077-ARI050-03 and the DoE under Award Numbers DE-SC0007852 and DE-SC0010504. Finally, we thank the anonymous referee for their helpful comments.

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Created:
August 22, 2023
Modified:
October 24, 2023