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An improved method for measuring muon energy using the truncated mean of dE/dx
Y. Abdou, M. Ackermann, J. Adams, J. A. Aguilar, M. Ahlers, D. Altmann, K. Andeen, J. Auffenberg, X. Bai, M. D. Baker, S. W. Barwick, V. Baum, R. Bay, K. Beattie, J. J. Beatty, S. Bechet, J. Becker Tjus, K.-H. Becker, M. Bell, M. L. Benabderrahmane, S. BenZvi, Jens Berdermann, P. Berghaus, D. Berley, E. Bernardini, Daniel Bertrand, D. Besson, D. Bindig, M. Bissok, E. Blaufuss, J. Blumenthal, D. J. Boersma, C. Böhm, D. Bose, S. Böser, O. Botner, L. Brayeur, A. M. Brown, R. Bruijn, J. Brünner, S. Buitink, M. Carson, J. Casey, M. Casier, D. Chirkin, B. Christy, F. Clevermann, S. Cohen, D. F. Cowen, A.H. Cruz Silva, M. Danninger, J. Daughhetee, J. C. Davis, C. De Clercq, F. Descamps, P. Desiati, G. de Vries‐Uiterweerd, T. DeYoung, J. C. Díaz–Vélez, J. Dreyer, J. P. Dumm, M. Dunkman, R. Eagan, J. Eisch, R. W. Ellsworth, O. Engdegård, S. Euler, P. A. Evenson, O. Fadiran, A. R. Fazely, Anatoli Fedynitch, J. Feintzeig, T. Feusels, K. Filimonov, C. Finley, T. Fischer-Wasels, S. Flis, A. Franckowiak, Robert Franke, K. Frantzen, T. Fuchs, T. K. Gaisser, J. S. Gallagher, L. Gerhardt, L. Gladstone, T. Glüsenkamp, A. Goldschmidt, J. A. Goodman, D. Góra, D. Grant, A. Groß, S. Grullon, M. Gurtner, C. Ha, A. Haj Ismail, A. Hallgren, F. Halzen, K. Hanson, D. Heereman, P. Heimann, D. Heinen, K. Helbing, R. Hellauer, S. Hickford, G. C. Hill, K. D. Hoffman, R. Hoffmann, A. Homeier, K. Hoshina, W. Huelsnitz, P. O. Hulth, K. Hultqvist, Shahid Hussain, A. Ishihara, E. Jacobi, J. Jacobsen, G. S. Japaridze, O. Jlelati, A. Kappes, T. Karg, A. Karle, J. Kiryluk, F. Kislat, J. Kläs, J.-H. Köhne, G. Kohnen, H. Kolanoski, L. Köpke, Claudio Kopper, S. Kopper, D. J. Koskinen, M. Kowalski, M. Krasberg, G. Kroll, J. Kunnen, N. Kurahashi, T. Kuwabara, M. Labare, K. Laihem, H. Landsman, M. J. Larson, R. Lauer, M. Lesiak-Bzdak, J. Lünemann, J. Madsen, R. Maruyama, K. Mase, H. S. Matis, Frank McNally, K. Meagher, M. Merck, P. Mészáros, T. Meures, S. Miarecki, E. Middell, N. Milke, J. Miller, L. Mohrmann, T. Montaruli, R. Morse, S. M. Movit, R. Nahnhauer, Uwe Naumann, Sarah Nowicki, D. R. Nygren, A. Obertacke, S. Odrowski, A. Olivas, M. Olivo, A. O’Murchadha, S. Panknin, L. Paul, J. A. Pepper, C. Pérez de los Heros, D. Pieloth, Norbert Pirk, J. Posselt, P. B. Price, G. T. Przybylski, L. Rädel, K. Rawlins, P. Redl, E. Resconi, W. Rhode, M. Ribordy, M. Richman, Benedikt Riedel, J. P. Rodrigues, F. Rothmaier, C. Rott, T. Ruhe, B. Ruzybayev, D. Ryckbosch, S. M. Saba, T. Salameh, H.‐G. Sander, M. Santander, S. Sarkar, K. Schatto, F. Scheriau, T. Schmidt, M. Schmitz, S. Schoenen, S. Schöneberg, L. Schönherr, A. Schönwald, A. Schukraft, L. Schulte, O. Schulz, D. Seckel, H. Seo, Y. Sestayo, S. Seunarine, M. W. E. Smith, M. Soiron, Dennis Soldin, G. M. Spiczak, C. Spiering, M. Stamatikos, Todor Stanev, A. Stasik, T. Stezelberger, R. G. Stokstad, A. Stößl, E. A. Strahler, L. R. Strom, G. W. Sullivan, H. Taavola, I. Taboada, A. Tamburro, S. Ter–Antonyan, S. Tilav, P. A. Toale, S. Toscano, M. Usner, N. van Eijndhoven, A. Van Overloop, J. V. Santen, M. Vehring, M. Vöge, C. Walck, T. Waldenmaier, M. Wallraff, M. Walter, R. Wasserman, Ch. Weaver, C. Wendt, S. Westerhoff, N. Whitehorn, K. Wiebe, C. H. Wiebusch, D. R. Williams, H. Wissing, M. Wolf, T. R. Wood, K. Woschnagg, C. Xu, D. L. Xu, Xiaolin Xu, G. Yodh, S. Yoshida, P. Zarzhitsky, J. Ziemann, Anne Zilles, M. Zoll
Bibliographic record
VenueNuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment · 2012
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsUniversity of Alberta
FundersMarsden FundJapan Society for the Promotion of ScienceScience and Technology Facilities CouncilNational Defense Science and Engineering GraduateKnut och Alice Wallenbergs StiftelseFonds Wetenschappelijk OnderzoekBundesministerium für Bildung und ForschungBelgian Federal Science Policy OfficeDeutsche ForschungsgemeinschaftNational Energy Research Scientific Computing CenterOffice of Polar ProgramsVlaamse regeringFonds De La Recherche Scientifique - FNRSPolarforskningssekretariatetUniversity of OxfordVetenskapsrådetWisconsin Alumni Research FoundationUniversity of Wisconsin-MadisonSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungU.S. Department of EnergyNational Science Foundation
KeywordsMuonPhysicsNuclear physicsParticle physics
Abstract
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 distilled prediction
Teacher imitationNot 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.082
Threshold uncertainty score0.657
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 head0.076
GPT teacher head0.416
Teacher spread0.340 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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
Citations62
Published2012
Admission routes1
Has abstractno