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Performance of the ReD TPC, a novel double-phase LAr detector with silicon photomultiplier readout

2021· preprint· en· W3174876580 on OpenAlexfundno aff
P. Agnes, S. Albergo, I. F. M. Albuquerque, M. Arba, M. Ave, A. Boiano, W. Bonivento, B. Bottino, S. Bussino, M. Cadeddu, A. Caminata, N. Canci, G. Cappello, M. Caravati, M. Cariello, Sabrina Castellano, S. Catalanotti, V. Cataudella, R. Cereseto, R. Cesarano, C. Cicalò, G. Covone, A. De Candia, G. De Filippis, G. Rosa, S. Davini, C. Dionisi, G. Dolganov, G. Fiorillo, D. Franco, Gabriele Giovanetti, C. Galbiati, M. Gulino, V. Ippolito, N. Kemmerich, I. Kochanek, G. Korga, M. Kuss, M. La Commara, L. La Delfa, M. Leyton, X. Li, M. Lissia, S. M. Mari, C. J. Martoff, V. Masone, G. Matteucci, V. Oleynikov, M. Pallavicini, L. Pandola, A. Razeto, M. Rescigno, J. Rode, N. Rossi, D. Sablone, S. Sanfilippo, E. Scapparone, A. Sosa, Y. Suvorov, G. Testera, A. Tricomi, Matteo Tuveri, M. Wada, H. Wang, Yi Wang, S. Westerdale

Bibliographic record

VenueThe European Physical Journal C · 2021
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicDark Matter and Cosmic Phenomena
Canadian institutionsnot available
FundersH2020 Marie Skłodowska-Curie ActionsCentro de Investigaciones Energéticas, Medioambientales y TecnológicasEuropean Regional Development FundTRIUMFInstituto Nazionale di Fisica NucleareConselho Nacional de Desenvolvimento Científico e TecnológicoEuropean CommissionFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsSilicon photomultiplierPhysicsPhotomultiplierScintillationRecoilTime projection chamberElectronNuclear physicsDetectorOpticsScintillator

Abstract

fetched live from OpenAlex

Abstract A double-phase argon Time Projection Chamber (TPC), with an active mass of 185 g, has been designed and constructed for the Recoil Directionality (ReD) experiment. The aim of the ReD project is to investigate the directional sensitivity of argon-based TPCs via columnar recombination to nuclear recoils in the energy range of interest (20– $$200\,\hbox {keV}_{nr}$$ 200keVnr ) for direct dark matter searches. The key novel feature of the ReD TPC is a readout system based on cryogenic Silicon Photomultipliers (SiPMs), which are employed and operated continuously for the first time in an argon TPC. Over the course of 6 months, the ReD TPC was commissioned and characterised under various operating conditions using $$\gamma $$ γ -ray and neutron sources, demonstrating remarkable stability of the optical sensors and reproducibility of the results. The scintillation gain and ionisation amplification of the TPC were measured to be $$g_1 = (0.194 \pm 0.013)$$ g1=(0.194±0.013) photoelectrons/photon and $$g_2 = (20.0 \pm 0.9)$$ g2=(20.0±0.9) photoelectrons/electron, respectively. The ratio of the ionisation to scintillation signals (S2/S1), instrumental for the positive identification of a candidate directional signal induced by WIMPs, has been investigated for both nuclear and electron recoils. At a drift field of 183 V/cm, an S2/S1 dispersion of 12% was measured for nuclear recoils of approximately 60– $$90\,\hbox {keV}_{nr}$$ 90keVnr , as compared to 18% for electron recoils depositing 60 keV of energy. The detector performance reported here meets the requirements needed to achieve the principal scientific goals of the ReD experiment in the search for a directional effect due to columnar recombination. A phenomenological parameterisation of the recombination probability in LAr is presented and employed for modeling the dependence of scintillation quenching and charge yield on the drift field for electron recoils between 50–500 keV and fields up to 1000 V/cm.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.244
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2021
Admission routes1
Has abstractyes

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