Search for Low-Mass Dark Matter with CDMSlite Using a Profile Likelihood Fit

Agnese, R.; Aralis, T.; Aramaki, T.; Arnquist, I. J.; Azadbakht, E.; Baker, W.; Banik, S.; Barker, D.; Bauer, D. A.; Binder, T.; Bowles, M. A.; Brink, P. L.; Bunker, R.; Cabrera, B.; Calkins, R.; Cameron, R. A.; Cartaro, C.; Cerdeño, D. G.; Chang, Y. -Y.; Cooley, J.; Cornell, B.; Cushman, P.; De Brienne, F.; Doughty, T.; Fascione, E.; Figueroa-Feliciano, E.; Fink, C. W.; Fritts, M.; Gerbier, G.; Germond, R.; Ghaith, M.; Golwala, S. R.; Harris, H. R.; Herbert, N.; Hong, Z.; Hoppe, E. W.; Hsu, L.; Huber, M. E.; Iyer, V.; Jardin, D.; Jastram, A.; Jena, C.; Kelsey, M. H.; Kennedy, A.; Kubik, A.; Kurinsky, N. A.; Lawrence, R. E.; Loer, B.; Asamar, E. Lopez; Lukens, P.; MacDonell, D.; Mahapatra, R.; Mandic, V.; Mast, N.; Miller, E.; Mirabolfathi, N.; Mohanty, B.; Mendoza, J. D. Morales; Nelson, J.; Neog, H.; Orrell, J. L.; Oser, S. M.; Page, W. A.; Partridge, R.; Pepin, M.; Ponce, F.; Poudel, S.; Pyle, M.; Qiu, H.; Rau, W.; Reisetter, A.; Ren, R.; Reynolds, T.; Roberts, A.; Robinson, A. E.; Rogers, H. E.; Saab, T.; Sadoulet, B.; Sander, J.; Scarff, A.; Schnee, R. W.; Scorza, S.; Senapati, K.; Serfass, B.; Speller, D.; Stanford, C.; Stein, M.; Street, J.; Tanaka, H. A.; Toback, D.; Underwood, R.; Villano, A. N.; von Krosigk, B.; Watkins, S. L.; Wilson, J. S.; Wilson, M. J.; Winchell, J.; Wright, D. H.; Yellin, S.; Young, B. A.; Zhang, X.; Zhao, X.

doi:10.48550/arxiv.1808.09098

Cited by 13 publications

(17 citation statements)

References 28 publications

(33 reference statements)

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“…It is computed using the assumptions and the methodology described in [151,153], however, it has been extended to very low DM mass range by assuming an unrealistic 1 meV threshold below 0.8 GeV/c 2 . Shown are results from CDEX [155], CDMSLite [156], COSINE-100 [157], CRESST [158,159], DAMA/LIBRA [160] (contours from [161]), DAMIC [162], DarkSide-50 [163,164], DEAP-3600 [144], EDEL-WEISS [165,166], LUX [167,168], NEWS-G [169], PandaX-II [170], SuperCDMS [171], XENON100 [172] and XENON1T [41,[173][174][175].…”

Section: Current Statusmentioning

confidence: 99%

Direct Detection of Dark Matter -- APPEC Committee Report

Billard,

Boulay,

Cebrián

et al. 2021

Preprint

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This Report provides an extensive review of the experimental programme of direct detection searches of particle dark matter. It focuses mostly on European efforts, both current and planned, but does it within a broader context of a worldwide activity in the field. It aims at identifying the virtues, opportunities and challenges associated with the different experimental approaches and search techniques. It presents scientific and technological synergies, both existing and emerging, with some other areas of particle physics, notably collider and neutrino programmes, and beyond. It addresses the issue of infrastructure in light of the growing needs and challenges of the different experimental searches. Finally, the Report makes a number of recommendations from the perspective of a long-term future of the field. They are introduced, along with some justification, in the opening Overview and Recommendations section and are next summarised at the end of the Report. Overall, we recommend that the direct search for dark matter particle interactions with a detector target should be given top priority in astroparticle physics, and in all particle physics, and beyond, as a positive measurement will provide the most unambiguous confirmation of the particle nature of dark matter in the Universe.

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Section: Current Statusmentioning

confidence: 99%

Direct Detection of Dark Matter -- APPEC Committee Report

Billard,

Boulay,

Cebrián

et al. 2021

Preprint

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show abstract

“…where d − → denotes convergence in distribution. 2 Classical Legendre polynomials are defined over [−1, 1]; here, their "shifted" counterpart over the range [0, 1] is considered. Finally, the shifted Legendre polynomials are normalized using the Gram-Schmidt process.…”

Section: B Lp Density Estimatementioning

confidence: 99%

“…In practice, even if a reliable description of the signal distribution is available, providing accurate background models may be challenging, as the behavior of the sources which contribute to it is often poorly understood. Some examples include searches for nuclear recoils of weakly interacting massive particles over electron recoils backgrounds [1,2], for gravitational-wave signals over non-Gaussian backgrounds from stellar-mass binary black holes [3], and for a standard model-like Higgs boson over prompt diphoton production [4].…”

Section: Introductionmentioning

confidence: 99%

Detecting new signals under background mismodeling

Algeri

2020

Phys. Rev. D

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Searches for new astrophysical phenomena often involve several sources of non-random uncertainties which can lead to highly misleading results. Among these, model-uncertainty arising from background mismodelling can dramatically compromise the sensitivity of the experiment under study. Specifically, overestimating the background distribution in the signal region increases the chances of missing new physics. Conversely, underestimating the background outside the signal region leads to an artificially enhanced sensitivity and a higher likelihood of claiming false discoveries. The aim of this work is to provide a unified statistical strategy to perform modelling, estimation, inference, and signal characterization under background mismodelling. The method proposed allows to incorporate the (partial) scientific knowledge available on the background distribution and provides a data-updated version of it in a purely nonparametric fashion without requiring the specification of prior distributions. Applications in the context of dark matter searches and radio surveys show how the tools presented in this article can be used to incorporate non-stochastic uncertainty due to instrumental noise and to overcome violations of classical distributional assumptions in stacking experiments.

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“…The small λ 13 coupling results in the DM scattering with the quarks (via a Higgs boson) to be highly suppressed compared to the limit from direct detection experiments. There are other experiments, e.g., Xenon10 [54], super CDMS [55] and SENSEI [56] that use DM electron scattering to also provide constraints over cross-section. Since the Higgs couplings to the DM particle and to the electrons are both extremely small, we can easily satisfy the experimental bounds in this case as well.…”

Section: Modelmentioning

confidence: 99%

MeV scale model of SIMP dark matter, neutrino mass and leptogenesis

Mohanty

Patra

Srivastava

2020

J. Cosmol. Astropart. Phys.

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We consider a simple extension of the Standard Model with two singlet scalar fields and three heavy right-handed neutrinos. One of the scalar fields serves as an MeV scale dark matter and its stability is ensured by the introduction of an extra Z 2 symmetry. The second scalar (which is even under the Z 2 symmetry) generates the mass term of the scalar, contributes to the 3 → 2 annihilation process required for the correct relic density of the dark matter and it also contributes to the leptogenesis. The right-handed neutrinos are responsible for the generation of light neutrino masses through Type-I seesaw mechanism. The decay of the heavy right-handed neutrino can generate the lepton asymmetry which can then be converted to baryon asymmetry through sphaleron transitions.

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Search for Low-Mass Dark Matter with CDMSlite Using a Profile Likelihood Fit

Cited by 13 publications

References 28 publications

Direct Detection of Dark Matter -- APPEC Committee Report

Direct Detection of Dark Matter -- APPEC Committee Report

Detecting new signals under background mismodeling

MeV scale model of SIMP dark matter, neutrino mass and leptogenesis

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