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Properties of Heavy Secondary Fluorine Cosmic Rays: Results from the Alpha Magnetic Spectrometer

2021· article· en· W3129542406 on OpenAlexfundno aff
M. Aguilar, L. Ali Cavasonza, Matthew S. Allen, B. Alpat, G. Ambrosi, L. Arruda, N. Attig, F. Barão, L. Barrin, A. Bartoloni, Seth Pree, R. Battiston, M. Behlmann, B. Beranek, J. Berdugo, B. Bertucci, V. Bindi, K. Bollweg, B. Borgia, M. Boschini, M. Bourquin, E. F. Bueno, J.D. Burger, W. J. Burger, S. Burmeister, Xudong Cai, M. Capell, J. Casaus, G. Castellini, F. Cervelli, Yuan-Hann Chang, G. M. Chen, G. R. Chen, Hanze Chen, Y. Chen, Lin Cheng, H. Y. Chou, S. Chouridou, V. Choutko, C. H. Chung, C. Clark, G. Coignet, C. Consolandi, A. Contin, C. Corti, Z. Cui, S. Kokou Dadzie, S. Della Torre, B. Demirköz, L. Derome, S. Di Falco, V. Di Felice, C. Díaz, F. Dimiccoli, P. von Doetinchem, Fei Dong, F. Donnini, M. Duranti, A. I. Egorov, A. Eline, J. H. Feng, E. Fiandrini, P.H. Fisher, V. Formato, C. Freeman, Yu. Galaktionov, C. Gámez, R. J. Garcı́a López, Corrado Gargiulo, H. Gast, M. Gervasi, F. Giovacchini, D. M. Gómez-Coral, J. Gong, C. Goy, Varlen Grabski, D. Grandi, M. Graziani, S. Haino, K. C. Han, R. K. Hashmani, Z. H. He, B. Heber, Timothy H. Hsieh, Jiayu Hu, M. Incagli, W. Jang, Yi Jia, H. Jinchi, K. Kanishev, B. Khiali, G. N. Kim, Th. Kirn, M. Konyushikhin, O. Kounina, A. Kounine, V. Koutsenko, A. Kuhlman, A. Kulemzin, G. La Vacca, E. Laudi, G. Laurenti, I. Lazzizzera, A. Lebedev, H. T. Lee, S. C. Lee, J. Q. Li, M. Li, Q. Li, S. Li, J. H. Li, Z. H. Li, Juncheng Liang, Christopher Light, Chao‐Hung Lin, Thomas Lippert, J. H. Liu, Zhen Liu, S. Q. Lu, Yudong Lu, K. Luebelsmeyer, Junzhou Luo, Xi Luo, Shaoyu Lyu, F. Machate, C. Mañá, J. Marín, J. Marquardt, T. Martin, G. Martı́nez, N. Masi, D. Maurin, A. Menchaca-Rocha, Q. Meng, V. V. Mikhailov, Dong-Chuan Mo, P. Mott, L. Mussolin, J. Negrete, N. Nikonov, F. Nozzoli, A. Oliva, M. Orcinha, M. Palermo, F. Palmonari, M. Paniccia, A. Pashnin, M. Pauluzzi, S. Pensotti, H. D. Phan, R. Piandani, V. Plyaskin, Stepan Poluianov, X. Qin, Z. Y. Qu, L. Quadrani, P.G. Rancoita, D. Rapin, A. Reina Conde, E. Robyn, S. Rosier-Lees, A. Rozhkov, D. Rozza, R. Z. Sagdeev, S. Schael, A. Schulz von Dratzig, G. Schwering, E. S. Seo, Z. Shakfa, B. S. Shan, T. Siedenburg, C. Solano, Jiwei Song, Xiaojian Song, R. Sonnabend, Louis E. Strigari, T. Su, Qie Sun, Z. T. Sun, M. Tacconi, Xiao Tang, Zhi-Cheng Tang, Jie Tian, Samuel C.C. Ting, S.M. Ting, Nicola Tomassetti, J. Torsti, Cenk Tüysüz, T. Urban, Ilya Usoskin, V. Vagelli, Rami Vainio, M. Valencia-Otero, E. Valente, E. Valtonen, M. Vázquez Acosta, M. Vecchi, M. Velasco, J. P. Vialle, C. X. Wang, L. Wang, L. Q. Wang, H. Wang, Qiuliang Wang, S. Wang, X. Wang, Yu Wang, Z. M. Wang, Chuncheng Wei, Z. Weng, H. Wu, R. Q. Xiong, W. Xu, Qi Yan, Y. Yang, I. I. Yashin, Han Yi, Yangyi Yu, Z. Q. Yu, M. Zannoni, C. Zhang, F. Zhang, F. Z. Zhang, J. H. Zhang, Zi-Yan Zhang, Fengyi Zhao, C. Zheng, Z. M. Zheng, H. L. Zhuang, V. Zhukov, A. Zichichi, P. Zuccon

Bibliographic record

VenuePhysical Review Letters · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicDark Matter and Cosmic Phenomena
Canadian institutionsnot available
FundersProducteurs d'oeufs d'incubation du CanadaInstitut National de Physique Nucléaire et de Physique des ParticulesCentro de Investigaciones Energéticas, Medioambientales y TecnológicasSecretaría de Estado de Investigación, Desarrollo e InnovaciónDirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de MéxicoJohnson Space CenterMarshall Space Flight CenterChina Academy of Space TechnologyRWTH Aachen UniversityCentre National de la Recherche ScientifiqueMinistry of Science and Technology, TaiwanChina Scholarship CouncilAgenzia Spaziale ItalianaNational Research Foundation of KoreaSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungDeutsches Zentrum für Luft- und RaumfahrtKey Laboratory of Particle Astrophysics, Institute of High Energy PhysicsFundação para a Ciência e a TecnologiaChinese Academy of SciencesCentre National d’Etudes SpatialesMinistry of Science and Technology of the People's Republic of ChinaNederlandse Organisatie voor Wetenschappelijk OnderzoekTürkiye Atom Enerjisi KurumuConsejo Nacional de Ciencia y TecnologíaKyungpook National UniversityUniversità degli Studi di PerugiaAcademy of FinlandMinisterio de Economía y CompetitividadU.S. Department of EnergyNational Natural Science Foundation of ChinaTürkiye Enerji, Nükleer ve Maden Araştırma KurumuCERNShandong UniversityInstituto Nazionale di Fisica NucleareMassachusetts Institute of TechnologyAcademia SinicaCentro para el Desarrollo Tecnológico IndustrialNational Science FoundationEuropean Space AgencyNational Aeronautics and Space Administration
KeywordsCosmic rayPhysicsRigidity (electromagnetism)AstrophysicsCosmic microwave backgroundSecondary electronsCosmologyFlux (metallurgy)Nuclear physicsAstronomySpectrometerElectronOpticsChemistry

Abstract

fetched live from OpenAlex

Precise knowledge of the charge and rigidity dependence of the secondary cosmic ray fluxes and the secondary-to-primary flux ratios is essential in the understanding of cosmic ray propagation. We report the properties of heavy secondary cosmic ray fluorine F in the rigidity R range 2.15 GV to 2.9 TV based on 0.29 million events collected by the Alpha Magnetic Spectrometer experiment on the International Space Station. The fluorine spectrum deviates from a single power law above 200 GV. The heavier secondary-to-primary F/Si flux ratio rigidity dependence is distinctly different from the lighter B/O (or B/C) rigidity dependence. In particular, above 10 GV, the F/Si/B/O ratio can be described by a power law R^{δ} with δ=0.052±0.007. This shows that the propagation properties of heavy cosmic rays, from F to Si, are different from those of light cosmic rays, from He to O, and that the secondary cosmic rays have two classes.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.232
Teacher spread0.216 · 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 designObservational
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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Citations48
Published2021
Admission routes1
Has abstractyes

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