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Record W2996628850 · doi:10.22323/1.367.0080

Beam test results of 3D pixel detectors constructed with poly-crystalline CVD diamond

2019· preprint· en· W2996628850 on OpenAlexaff
M. Reichmann, Andreas V. Alexopoulos, M. Artuso, F. Bachmair, L. Bäni, M. Bartosik, H. P. Beck, Vincenzo Bellini, V. Belyaev, B. Bentele, A. Bès, J.-M. Brom, M. Bruzzi, G. Chiodini, D. Chren, V. Cindro, G. Claus, J. Collot, J. P. Cumalat, A. Dąbrowski, R. D’Alessandro, D. Dauvergne, W. De Boer, Christian Dorfer, Marc Dünser, G. Eigen, В. В. Еремин, G. T. Forcolin, J. Forneris, L. Gallin-Martel, M-L. Gallin-Martel, K. K. Gan, M. Gastal, M. Goffe, J. Goldstein, А. А. Голубев, A. Gorišek, E. Grigoriev, J. Große-Knetter, A. Grummer, M. Guthoff, B. Hiti, Dmitry Hits, M. R. Hoeferkamp, Thomas Hofmann, J. Hosselet, C. Hutton, J. Janssen, H. Kagan, K. Kanxheri, R. Kass, M. Kiš, G. Kramberger, S. Kuleshov, A. Lacoste, S. Lagomarsino, Alessandro Lo Giudice, I. López Paz, Eric Lukosi, C. Maazouzi, I. Mandić, Chantal Mathieu, M. Menichelli, M. Mikuž, A. Morozzi, R. Mountain, A. Oh, P. Olivero, D. Passeri, H. Pernegger, R. Perrino, Federico Picollo, M. Pomorski, R. Potenza, A. Quadt, F. Rarbi, Alessandro Re, S. Roe, D. A. Sanz Becerra, M. Scaringella, Christian Joachim Schmidt, Steve Schnetzer, M. Schioppa, S. Sciortino, A. Scorzoni, S. Seidel, L. Servoli, D. J.B. Smith, B. Sopko, V. Sopko, S. Spagnolo, Stefan Spanier, Kevin Stenson, R. Stone, B. Stugu, C. Sutera, M. Traeger, W. Trischuk, Marco Truccato, C. Tuvé, J. J. Velthuis, N. Venturi, S. J. Wagner, R. Wallny, J. -X. Wang, N. Wermes, M. Yamouni, Justas Zalieckas, Marko Zavrtanik

Bibliographic record

VenueProceedings of XXIX International Symposium on Lepton Photon Interactions at High Energies — PoS(LeptonPhoton2019) · 2019
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsUniversity of Toronto
FundersInstitut de Física d'Altes EnergiesScience and Technology Facilities CouncilEuropean CommissionRoyal SocietySchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungU.S. Department of EnergyPrinceton UniversityUniversity of OxfordNational Science Foundation
KeywordsDetectorDiamondFabricationOptoelectronicsMaterials scienceRadiation hardeningPixelBeam (structure)OpticsTracking (education)ChipParticle detectorPhysicsComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

As a possible candidate for extremely radiation tolerant tracking devices we present a novel detector design - namely 3D detectors - based on poly-crystalline CVD diamond sensors with a pixel readout. The fabrication of recent 3D detectors as well their results in recent beam tests are presented. We measured the hit efficiency and signal response of two 3D diamond detectors with 50 × 50 μm cell sizes using pixel readout chip technologies currently used at CMS and ATLAS. In all runs, both devices attained efficiencies >98 % in a normal incident test beam of minimum ionising particles. The highest efficiency observed during the beam tests was 99.2 %.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.054
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.228
Teacher spread0.221 · 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 teacher head, not a consensus.

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

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