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An experimental program with high duty-cycle polarized and unpolarized positron beams at Jefferson Lab

2021· preprint· en· W3164642346 on OpenAlexaff
Alberto Accardi, Andrei Afanasev, I. Albayrak, S.F. Ali, M. J. Amaryan, J. R. M. Annand, J. Arrington, A. Asaturyan, H. Ataç, H. Avakian, T. Averett, C. Ayerbe Gayoso, X. Bai, L. Barion, M. Battaglieri, Vincenzo Bellini, R. Beminiwattha, F. Benmokhtar, В. В. Бердников, J. C. Bernauer, Valerio Bertone, A. Bianconi, A. S. Biselli, P. Bisio, P. G. Blunden, M. Boër, M. Bondí, K.-Th. Brinkmann, W. J. Briscoe, V. D. Burkert, T. Cao, A. Camsonne, R. Capobianco, L. S. Cardman, M. Carmignotto, M. Caudron, L. Causse, A. Celentano, P. Chatagnon, J.-P. Chen, T. Chetry, G. Ciullo, E. Cline, P. L. Cole, M. Contalbrigo, G. Costantini, A. D’Angelo, Luc Darmé, Donal B. Day, M. Defurne, M. De Napoli, A. Deur, R. De Vita, N. d’Hose, S. Diehl, M. Diefenthaler, B. Dongwi, R. Dupré, Hervé Dutrieux, D. Dutta, M. Ehrhart, L. El Fassi, L. Elouadrhiri, R. Ent, Jens Erler, I. P. Fernando, A. Filippi, D. Flay, T. A. Forest, E. Fuchey, Sara Fucini, Yulia Furletova, H. Gao, D. Gaskell, A. Gasparian, T. Gautam, F. X. Girod, K. Gnanvo, Joseph Grames, G.N. Grauvoge, P. Guèye, M. Guidal, S. Habet, T. J. Hague, D. Hamilton, O. Hansen, D. Hasell, M. Hattawy, D. W. Higinbotham, A. Hobart, T. Horn, C. E. Hyde-Wright, H. Ibrahim, A. Ilyichev, A. Italiano, K. Joo, S. Joosten, V. Khachatryan, N. Kalantarians, G. Kalicy, B. Karky, D. Keller, C. Keppel, M. Kerver, M. Khandaker, A. Kim, J. Kim, P. M. King, E. Kinney, V. Klimenko, H. S. Ko, M. Köhl, V. Kozhuharov, Brandon Kriesten, Gordan Krnjaic, V. Kubarovsky, T. Kutz, L. Lanza, M. Leali, P. Lenisa, N. Liyanage, Q. Liu, Simonetta Liuti, J. Mammei, Sonny Mantry, D. Marchand, P. Markowitz, L. Marsicano, V. Mascagna, M. Mazouz, M. McCaughan, B. McKinnon, D. McNulty, Wally Melnitchouk, Andreas Metz, Z.-E. Meziani, S. Migliorati, M. Mihovilovič, R. Milner, A. Mkrtchyan, H. Mkrtchyan, A. Movsisyan, H. Moutarde, M. Muhoza, C. Muñoz Camacho, J. J. Murphy, P. Nadel-Turoński, Enrico Nardi, J. Nazeer, S. Niccolai, G. Niculescu, R. Novotny, J. F. Owens, M. Paolone, L. L. Pappalardo, R. Paremuzyan, B. Pasquini, E. Pasyuk, Tanvi Patel, Ian L. Pegg, C. Peng, D. Perera, M. Poelker, K. Price, A. J. R. Puckett, M. Raggi, N. Randazzo, M. N. H. Rashad, Malinga Rathnayake, B. A. Raue, P. E. Reimer, Matteo Rinaldi, A. Rizzo, Y. Roblin, J. Roche, G. Ron, F. Sabatié, G. Salmè, E. Santopinto, R. Santos Estrada, B. Sawatzky, A. Schmidt, P. Schweitzer, Sergio Scopetta, V. Sergeyeva, M. Shabestari, A. Shahinyan, Y. G. Sharabian, S. Širca, E. S. Smith, D. Sokhan, A. Somov, N. Sparveris, M. Spata, H. Spiesberger, M. Spreafico, S. Stepanyan, P. Stoler, I. I. Strakovsky, R. Suleiman, M. Suresh, P. Sznajder, Holly Szumila-Vance, V. Tadevosyan, A.S. Tadepalli, A. W. Thomas, Michael Tiefenback, R. Trotta, M. Ungaro, P. Valente, Marc Vanderhaeghen, L. Venturelli, H. Voskanyan, E. Voutier, B. Wojtsekhowski, M. H. Wood, S. A. Wood, Ju-Jun Xie, Weizhi Xiong, Z. Ye, M. Yurov, H.-G. Zaunick, S. Zhamkochyan, J. Zhang, S. Zhang, Shengying Zhao, B. Zhao, Xiaochao Zheng, Jingyi Zhou, C. Zorn

Bibliographic record

VenueThe European Physical Journal A · 2021
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsUniversity of Manitoba
FundersOffice of ScienceEuropean CommissionNuclear PhysicsSixth Framework ProgrammeStrongU.S. Department of Energy
KeywordsPhysicsParticle physicsPositronNuclear physicsLeptonPhotonElectroweak interactionNucleonElectronContext (archaeology)PartonDuty cycleScatteringDeep inelastic scatteringHadronInelastic scattering

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.005
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 score0.007
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0020.002
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.002

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 head0.008
GPT teacher head0.261
Teacher spread0.252 · 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".

Quick stats

Citations3
Published2021
Admission routes1
Has abstractno

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