Record W4280511981 · doi:10.1016/j.physletb.2022.137187

Measurement of the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"><mml:msup><mml:mrow><mml:mi>e</mml:mi></mml:mrow><mml:mrow><mml:mo linebreak="badbreak" linebreakstyle="after">+</mml:mo></mml:mrow></mml:msup><mml:msup><mml:mrow><mml:mi>e</mml:mi></mml:mrow><mml:mrow><mml:mo linebreak="badbreak" linebreakstyle="after">−</mml:mo></mml:mrow></mml:msup><mml:mo stretchy="false">→</mml:mo><mml:msup><mml:mrow><mml:mi mathvariant="normal">Σ</mml:mi></mml:mrow><mml:mrow><mml:mn>0</mml:mn></mml:mrow></mml:msup><mml:msup><mml:mrow><mml:mover accent="true"><mml:mrow><mml:mi mathvariant="normal">Σ</mml:mi></mml:mrow><mml:mrow><mml:mo stretchy="false">¯</mml:mo></mml:mrow></mml:mover></mml:mrow><mml:mrow><mml:mn>0</mml:mn></mml:mrow></mml:msup></mml:math> cross sections at center-of-mass energies from 2.3864 to 3.0200 GeV

2022· article· lv· W4280511981 on OpenAlexaff

М. Н. Ачасов, P. Adlarson, S. Ahmed, M. Albrecht, A. Amoroso, Q. An, O. Bakina, R. Baldini Ferroli, I. Balossino, Y. Ban, K. Begzsuren, J. V. Bennett, N. Berger, M. Bertani, D. Bettoni, F. Bianchi, J. Biernat, J. Bloms, A. Bortone, I. Boyko, R. A. Briere, H. Cai, X. Z. Cai, A. Calcaterra, G. F. Cao, N. Cao, S. A. Çetin, J. F. Chang, W. L. Chang, G. Chelkov, D.Y. Chen, G. Chen, H.S. Chen, M.L. Chen, S.J. Chen, X.R. Chen, Y.B. Chen, G. Cibinetto, F. Cossio, X. F. Cui, J. P. Dai, X. Dai, A. Dbeyssi, R. B. de Boer, D. Dedovich, Z. Y. Deng, A. Denig, I. Denysenko, M. Destefanis, F. De Mori, Y. Ding, C. Dong, J. Dong, L. Y. Dong, M. Y. Dong, S. X. Du, J. Fang, S. S. Fang, Y. Fang, R. Farinelli, L. Fava, F. Feldbauer, G. Felici, C. Q. Feng, M. Fritsch, C. D. Fu, Y. Fu, X.L. Gao, Y. Gao, I. Garzia, E. Gersabeck, A. Gilman, K. Goetzen, L. Gong, W. X. Gong, W. Gradl, M. Greco, L. Gu, M. H. Gu, S. Gu, Yuantao Gu, C. Y. Guan, A. Q. Guo, L. B. Guo, R. P. Guo, Y. P. Guo, A. Guskov, S. Han, T. T. Han, T. Z. Han, X. Q. Hao, F. A. Harris, K. L. He, F. H. Heinsius, T. Held, Y. K. Heng, M. Himmelreich, T. Holtmann, Y. R. Hou, Z. L. Hou, H. M. Hu, J. F. Hu, Y. Hu, G. S. Huang, L. Q. Huang, X. T. Huang, Z. Huang, N. Huesken, T. Hussain, W. Ikegami Andersson, W. Imoehl, M. Irshad, S. Jaeger, S. Janchiv, Q. P. Ji, X. B. Ji, X. L. Ji, H. B. Jiang, X. S. Jiang, X. Y. Jiang, J. B. Jiao, Z. Jiao, S. Jin, Y. Jin, T. Johansson, N. Kalantar-Nayestanaki, X. S. Kang, R. Kappert, M. Kavatsyuk, B. C. Ke, I. K. Keshk, A. Khoukaz, P. Kiese, R. Kiuchi, R. Kliemt, L. Koch, O. B. Kolcu, B. Kopf, M. Kuemmel, M. Kuessner, A. Kupść, M. G. Kurth, W. Kühn, J. J. Lane, J. S. Lange, P. Larin, L. Lavezzi, H. Leithoff, M. Lellmann, T. Lenz, C. Li, C.H. Li, Cheng Li, D.M. Li, F. Li, G. Li, H.B. Li, H.J. Li, J.L. Li, J.Q. Li, Ke Li, L.K. Li, Lei Li, P.L. Li, P. R. Li, S.Y. Li, W.D. Li, W.G. Li, X.H. Li, X.L. Li, Z.B. Li, Z.Y. Li, H. Liang, Y. F. Liang, Y. T. Liang, L. Z. Liao, J. Libby, C. X. Lin, B. Liu, B.J. Liu, C.X. Liu, D. Liu, D.Y. Liu, F.H. Liu, Fang Liu, Feng Liu, H.B. Liu, H.M. Liu, Huanhuan Liu, Huihui Liu, J.B. Liu, J.Y. Liu, K. Liu, K.Y. Liu, Ke Liu, L. Liu, Q. Liu, S.B. Liu, Shuai Liu, T. Liu, X. Liu, Y.B. Liu, Z.A. Liu, Z.Q. Liu, Y. F. Long, X. Lou, F. X. Lu, H. Lu, J. D. Lu, J. Lu, X. L. Lu, Y. Lu, Y. P. Lu, C. L. Luo, M. X. Luo, P. W. Luo, T. Luo, X. L. Luo, S. Lusso, X. R. Lyu, F. C. Ma, H. L., Long Ma, M. M. Ma, Q. M. Ma, R. Q. Ma, R. Ma, X.N. Ma, Xinxin Ma, X. Y. Ma, Y. M. Ma, F. E. Maas, M. Maggiora, S. Maldaner, S. Malde, Q. A. Malik, A. Mangoni, Y. J. Mao, Z. P. Mao, S. Marcello, Z. X. Meng, J. G. Messchendorp, G. Mezzadri, T. J. Min, R. E. Mitchell, X. H. Mo, Y. J. Mo, N. Yu. Muchnoi, H. Muramatsu, S. Nakhoul, Y. Nefedov, F. Nerling, I. B. Nikolaev, Z. Ning, S. Nisar, S. L. Olsen, Q. Ouyang, S. Pacetti, X. Pan, Y. Pan, A. Pathak, P. Patteri, M. Pelizaeus, H. P. Peng, Κ. Peters, J. Pettersson, J. L. Ping, R. G. Ping, A. Pitka, R. Poling, V. Prasad, H. R. Qi, M. Qi, T. Y. Qi, S. Qian, W. B. Qian, Z. Qian, C. F. Qiao, X. P. Qin, X. S. Qin, J. F. Qiu, S. Qu, K. H. Rashid, K. Ravindran, C. F. Redmer, A. Rivetti, V. Rodin, M. Rolo, G. Rong, Ch. Rosner, M. Rump, A. Sarantsev, M. Savrié, Y. Schelhaas, C. Schnier, K. Schoenning, D. C. Shan, X. Y. Shan, M. Shao, C. P. Shen, P. X. Shen, X. Y. Shen, H. C. Shi, R. S. Shi, X. Shi, J. J. Song, Q. Q. Song, W. M. Song, Y. X. Song, S. Sosio, S. Spataro, F. F. Sui, G. X. Sun, J. F. Sun, L. Sun, S. S. Sun, T. Sun, W. Y. Sun, Y. J. Sun, Y. Sun, Yipeng Sun, Z. T. Sun, Y. H. Tan, Y. X. Tan, C. J. Tang, G. Y. Tang, J. Tang, V. Thoren, B. Tsednee, I. Uman, B. Wang, B.L. Wang, C.W. Wang, D.Y. Wang, H.P. Wang, K. Wang, L.L. Wang, M. Wang, M.Z. Wang, Meng Wang, W.H. Wang, W.P. Wang, X. Wang, X.F. Wang, X.L. Wang, Y. Wang, Y. Wang, Y.D. Wang, Y.F. Wang, Y.Q. Wang, Z. Wang, Z.Y. Wang, Ziyi Wang, Zongyuan Wang, T. Weber, D. H. Wei, P. Weidenkaff, F. Weidner, S. P. Wen, D. J. White, U. Wiedner, G. Wilkinson, M. Wolke, L. Wollenberg, J.F. Wu, L. H. Wu, L. J. Wu, X. Wu, Z. Wu, H. Xiao, S. Y. Xiao, Y. J. Xiao, Z. J. Xiao, X. H. Xie, Y. Xie, Y. H. Xie, T. Y. Xing, X. A. Xiong, G. F. Xu, J. Xu, Q. Xu, W. Xu, X. P. Xu, L. Yan, W. B. Yan, W. C. Yan, Xu Yan, H. J. Yang, H. X. Yang, Lei Yang, R. X. Yang, S. L. Yang, Y. H. Yang, Yifan Yang, Zhi Yang, M. Ye, M.H. Ye, J. H. Yin, Z. Y. You, B. X. Yu, C. X. Yu, G. Yu, J. S. Yu, T. Yu, C. Z. Yuan, W. L. Yuan, X. Q. Yuan, Y. Yuan, Z. Y. Yuan, C. X. Yue, A. Yuncu, A. A. Zafar, Yun Zeng, B.X. Zhang, Guangyi Zhang, H.H. Zhang, H.Y. Zhang, J.L. Zhang, J.Q. Zhang, J.W. Zhang, J.Y. Zhang, J.Z. Zhang, Jianyu Zhang, Jiawei Zhang, L. Zhang, Lei Zhang, S. Zhang, S.F. Zhang, T.J. Zhang, X.Y. Zhang, Y. Zhang, Y.H. Zhang, Y.T. Zhang, Yan Zhang, Yao Zhang, Yi Zhang, Z.H. Zhang, Z.Y. Zhang, G. Zhao, J. Zhao, J. Y. Zhao, Jijun Zhao, Lei Zhao, Ling Zhao, M. G. Zhao, Q. Zhao, S. J. Zhao, Y. B. Zhao, Y. X. Zhao, Z. Zhao, A. Zhemchugov, B. Zheng, J. P. Zheng, Y. Zheng, Y. Zheng, B. Zhong, C. Zhong, Li Zhou, Q. Zhou, X. Zhou, X. R. Zhou, A. N. Zhu, J. Zhu, K. J. Zhu, S. H. Zhu, W. J. Zhu, X. Zhu, Y. C. Zhu, Z. A. Zhu, B. S. Zou, J. H. Zou

Bibliographic record

VenuePhysics Letters B · 2022

Typearticle

Languagelv

FieldPhysics and Astronomy

TopicParticle physics theoretical and experimental studies

Canadian institutionsInstitute of Particle Physics

FundersShanghai Key Laboratory for Particle Physics and CosmologyDeutsche ForschungsgemeinschaftIstituto Nazionale di Fisica NucleareUniversity of Science and Technology of ChinaVetenskapsrådetNational Natural Science Foundation of ChinaChinese Academy of SciencesRoyal SocietyKnut och Alice Wallenbergs StiftelseScience and Technology Facilities CouncilStrongInstitute of High Energy PhysicsU.S. Department of Energy

KeywordsPhysicsLuminosityColliderCenter of mass (relativistic)BaryonQuantum chromodynamicsParticle physicsElectron–positron annihilationEnergy (signal processing)Center (category theory)Function (biology)Nuclear physicsCrystallographyHadronAstrophysics

DOI10.1016/j.physletb.2022.137187

Abstract

fetched live from OpenAlex

The Born cross sections of e+e−→Σ0Σ¯0 are measured at center-of-mass energies from 2.3864 to 3.0200 GeV using data samples with an integrated luminosity of 328.5 pb−1 collected with the BESIII detector operating at the BEPCII collider. The analysis makes use of a novel reconstruction method for energies near production threshold, while a single-tag method is employed at other center-of-mass energies. The measured cross sections are consistent with earlier results from BaBar, with a substantially improved precision. The cross-section lineshape can be well described by a perturbative QCD-driven energy function. In addition, the effective form factors of the Σ0 baryon are determined. The results provide precise experimental input for testing various theoretical predictions.

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)0.007

metaresearch head score (Gemma)0.005

Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated

Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)

Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)

DomainCandidate signal: none · Consensus signal: none

Study designCandidate signal: Bench or experimental · Consensus signal: none

GenreCandidate signal: Empirical · Consensus signal: none

Teacher disagreement score0.898

Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

Category	Codex	Gemma
Metaresearch	0.007	0.005
Meta-epidemiology (narrow)	0.005	0.011
Meta-epidemiology (broad)	0.002	0.011
Bibliometrics	0.003	0.007
Science and technology studies	0.008	0.010
Scholarly communication	0.008	0.008
Open science	0.012	0.015
Research integrity	0.009	0.009
Insufficient payload (model declined to judge)	0.905	0.007

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 head0.015

GPT teacher head0.233

Teacher spread0.219 · 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; both teacher heads agree on what is shown here.

Meta-epidemiology (narrow)Science and technology studies Open science Research integrity Insufficient payload (model declined to judge)

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

Citations32

Published2022

Admission routes1

Has abstractyes

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