Constraints on Lightly Ionizing Particles from CDMSlite

Alkhatib, I.; Amaral, D. W. P.; Aralis, T.; Aramaki, T.; Arnquist, I. J.; Langroudy, I. Ataee; Azadbakht, E.; Banik, S.; Barker, D.; Bathurst, C.; Bauer, D. A.; Bezerra, L. V. S.; Bhattacharyya, R.; Bowles, M. A.; Brink, P. L.; Bunker, R.; Cabrera, B.; Calkins, R.; Cameron, R. A.; Cartaro, C.; Cerdeño, David G.; Chang, Yen-Yung; Chaudhuri, M.; Chen, R.; Chott, N.; Cooley, J.; Coombes, H.; Corbett, Jacqueline; Cushman, P.; Brienne, F. De; Vacri, M. L. Di; Diamond, M.; Fascione, E.; Figueroa‐Feliciano, E.; Fink, C. W.; Fouts, K.; Fritts, M.; Gerbier, G.; Germond, R.; Ghaith, M.; Golwala, S. R.; Harris, H. R.; Hines, B. A.; Hollister, M. I.; Hong, Z.; Hoppe, E. W.; Hsu, L.; Huber, M. E.; Iyer, V.; Jardin, D.; Jastram, A.; Kashyap, Varchaswi; Kelsey, M.; Kubik, A.; Kurinsky, Noah; Lawrence, R. E.; Li, A.; Loer, B.; Asamar, E. López; Lukens, P.; MacFarlane, D. B.; Mahapatra, R.; Mandic, V.; Mast, N.; Mayer, A.; Theenhausen, H. Meyer Zu; Michaud, Eva; Michielin, E.; Mirabolfathi, N.; Mohanty, B.; Mendoza, J. D. Morales; Nagorny, S.S.; Nelson, J. K.; Neog, H.; Novati, V.; Orrell, J. L.; Oser, S. M.; Page, W. A.; Partridge, R.; Podviianiuk, R.; Ponce, F.; Poudel, S. S.; Pradeep, Aditi; Pyle, M.; Rau, W.; Reid, E.; Ren, R.; Reynolds, T. N.; Roberts, A.; Robinson, Alan; Saab, T.; Sadoulet, B.; Sander, J.; Sattari, Amirmohammad; Schnee, R. W.; Scorza, S.; Serfass, B.; Sincavage, D. J.; Stanford, C.; Street, J. C.; Toback, D.; Underwood, R.; Verma, S.; Villano, A. N.; Krosigk, B. von; Watkins, S. L.; Wilson, J. S.; Wilson, M. J.; Winchell, J.; Wright, D. H.; Yellin, S.; Young, B. A.; Yu, To Chin; Zhang, E.; Zhang, H. G.; Zhao, X.; Zheng, Liang

doi:10.1103/physrevlett.127.081802

Cited by 6 publications

(4 citation statements)

References 39 publications

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“…In recent years, cryogenic bolometers have established themselves as a powerful technology in rare event searches for 0νββ [9,[11][12][13][14][15][16], direct Dark Matter detection [17][18][19], and more [20][21][22][23][24]. Such detectors operate at milli-kelvin temperatures and measure energy deposition events by converting phonons into a temperature increase within a sensitive thermistor.…”

Section: Introductionmentioning

confidence: 99%

Determining $g_{A}/g_{V}$ with High Resolution Spectral Measurements Using an LiInSe$_2$ Bolometer

Leder,

Mayer,

Ouellet

et al. 2022

Preprint

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Neutrinoless Double-Beta decay (0νββ) processes sample a wide range of intermediate forbidden nuclear transitions, which may be impacted by quenching of the axial vector coupling constant (gA/gV ), the uncertainty of which plays a pivotal role in determining the sensitivity reach of 0νββ experiments. In this Letter, we present measurements performed on a high-resolution LiInSe2 bolometer in a "source=detector" configuration to measure the spectral shape of the 4-fold forbidden β-decay of 115 In. The value of gA/gV is determined by comparing the spectral shape of theoretical predictions to the experimental β spectrum taking into account various simulated background components as well as a variety of detector effects. We find evidence of quenching of gA/gV at > 5σ with a model-dependent quenching factor of 0.655 ± 0.002 as compared to the free-nucleon value for the Interacting Shell Model. We also measured the 115 In half-life to be [5.18 ± 0.06(stat.) +0.005 −0.015 (sys.)] × 10 14 yr within the Interacting Shell Model framework. This work demonstrates the power of the bolometeric technique to perform precision nuclear physics single-β decay measurements, which can help reduce the uncertainties in the calculation of 0νββ nuclear matrix elements.

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Section: Introductionmentioning

confidence: 99%

Determining $g_{A}/g_{V}$ with High Resolution Spectral Measurements Using an LiInSe$_2$ Bolometer

Leder,

Mayer,

Ouellet

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

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“…Despite their smaller exposures in terms of area-steradian coverage compared to traditional large-volume liquid or plastic scintillators or gaseous trackers, such contemporary solidstate detectors benefit from high energy resolution and low 𝑑𝐸/𝑑𝑥 thresholds. Combined with their typical placement in deep underground labs, this can result in competitive sensitivity to exotic tracklike phenomena including multiply-interacting dark matter [1] and lightly-ionizing particles (LIPs) [2,3]. Conversely, as the background requirements of these rare-event searches become increasingly stringent, it is valuable to have a precise in situ characterization of cosmogenic backgrounds such as muon-induced spallation products [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Muon Track Reconstruction in a Segmented Bolometric Array Using Multi-Objective Optimization

Yocum,

Mayer,

Ouellet

et al. 2022

Preprint

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A: Recent advances in segmented solid-state detector arrays for rare-event searches have allowed the technology to approach the ton-scale in detector mass and the scale of meters in size. Often focused around searches for neutrinoless double-beta decay or direct dark matter detection, such experiments also have the capability to search for exotic particles that leave track-like signatures across their volume. However, the segmented nature of such detector arrays often sets the spatial resolution and makes the problem of reconstructing track-like paths non-trivial. In this paper, we present an algorithm that improves reconstruction of track-like events in segmented detectors using multi-objective optimization -a computational technique that optimizes more than one cost function at a time without specifying a quantitative weighting between them. Such a technique allows the reconstruction of tracks through a detector and the determination of path-lengths through individual elements. When combined with the reconstructed energy depositions in each element this allows for a calculation of the stopping power of track-like particles and opens the door to searches for particles with abnormal stopping power like monopoles or lightly-ionizing particles (LIPs). Results are presented which evaluate the precision of the reconstruction tools as they currently stand against Monte Carlo generated data. The algorithm is presented in the context of the CUORE experiment, but has applications to other segmented calorimeter detectors. K: Analysis and statistical methods; Data processing methods; Pattern recognition, cluster finding, calibration and fitting methods;

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“…Despite their smaller exposures in terms of area-steradian coverage compared to traditional large-volume liquid or plastic scintillators or gaseous trackers, such contemporary solid-state detectors benefit from high energy resolution and low 𝑑𝐸/𝑑𝑥 thresholds. Combined with their typical placement in deep underground labs, this can result in competitive sensitivity to exotic track-like phenomena including multiply-interacting dark matter [1] and lightly-ionizing particles (LIPs) [2,3]. Conversely, as the background requirements of these rare-event searches become increasingly stringent, it is valuable to have a precise in situ characterization of cosmogenic backgrounds such as muon-induced spallation products [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Muon track reconstruction in a segmented bolometric array using multi-objective optimization

Yocum¹,

Mayer²,

Ouellet³

et al. 2022

J. Inst.

View full text Add to dashboard Cite

Recent advances in segmented solid-state detector arrays for rare-event searches have allowed the technology to approach the ton-scale in detector mass and the scale of meters in size. Often focused around searches for neutrinoless double-beta decay or direct dark matter detection, such experiments also have the capability to search for exotic particles that leave track-like signatures across their volume. However, the segmented nature of such detector arrays often sets the spatial resolution and makes the problem of reconstructing track-like paths non-trivial. In this paper, we present an algorithm that improves reconstruction of track-like events in segmented detectors using multi-objective optimization — a computational technique that optimizes more than one cost function at a time without specifying a quantitative weighting between them. Such a technique allows the reconstruction of tracks through a detector and the determination of path-lengths through individual elements. When combined with the reconstructed energy depositions in each element this allows for a calculation of the stopping power of track-like particles and opens the door to searches for particles with abnormal stopping power like monopoles or lightly-ionizing particles (LIPs). Results are presented which evaluate the precision of the reconstruction tools as they currently stand against Monte Carlo generated data. The algorithm is presented in the context of the CUORE experiment, but has applications to other segmented calorimeter detectors.

show abstract

Constraints on Lightly Ionizing Particles from CDMSlite

Cited by 6 publications

References 39 publications

Determining $g_{A}/g_{V}$ with High Resolution Spectral Measurements Using an LiInSe$_2$ Bolometer

Determining $g_{A}/g_{V}$ with High Resolution Spectral Measurements Using an LiInSe$_2$ Bolometer

Muon Track Reconstruction in a Segmented Bolometric Array Using Multi-Objective Optimization

Muon track reconstruction in a segmented bolometric array using multi-objective optimization

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