Chrome Extension
WeChat Mini Program
Use on ChatGLM

Resonances in E+e− Annihilation Near 2.2 GeV

Physical Review D(2020)SCI 2区

Univ Savoie | Univ Barcelona | INFN | Univ Bergen | Lawrence Berkeley Natl Lab | Ruhr Univ Bochum | Univ British Columbia | Inst Particle Phys | RAS | Univ Calif Irvine | Univ Calif Riverside | Univ Calif Santa Cruz | CALTECH | Univ Cincinnati | Univ Colorado | Ecole Polytech | Harvey Mudd Coll | Humboldt Univ | Indian Inst Technol Guwahati | Univ Iowa | Iowa State Univ | Johns Hopkins Univ | CNRS | Lawrence Livermore Natl Lab | Univ Liverpool | SUNY Albany | Queen Mary Univ London | Univ London Royal Holloway & Bedford New Coll | Univ Louisville | Johannes Gutenberg Univ Mainz | Univ Manchester | Univ Maryland | MIT | McGill Univ | Univ Mississippi | Univ Montreal | Natl Inst Nucl & High Energy Phys | Univ Notre Dame | Ohio State Univ | Sorbonne Univ | Princeton Univ | Univ Rostock | Rutherford Appleton Lab | Univ Paris Saclay | SLAC Natl Accelerator Lab | Univ South Carolina | Southern Methodist Univ | St Francis Xavier Univ | Stanford Univ | Tel Aviv Univ | Univ Tennessee | Univ Texas Austin | Univ Texas Dallas | Univ Valencia | Univ Victoria | Univ Warwick | Univ Wisconsin

Cited 9|Views10
Abstract
Author(s): Lees, JP; Poireau, V; Tisserand, V; Grauges, E; Palano, A; Eigen, G; Brown, DN; Kolomensky, YG; Fritsch, M; Koch, H; Schroeder, T; Cheaib, R; Hearty, C; Mattison, TS; McKenna, JA; So, RY; Blinov, VE; Buzykaev, AR; Druzhinin, VP; Golubev, VB; Kozyrev, EA; Kravchenko, EA; Onuchin, AP; Serednyakov, SI; Skovpen, YI; Solodov, EP; Todyshev, KY; Lankford, AJ; Dey, B; Gary, JW; Long, O; Eisner, AM; Lockman, WS; Panduro Vazquez, W; Chao, DS; Cheng, CH; Echenard, B; Flood, KT; Hitlin, DG; Kim, J; Li, Y; Miyashita, TS; Ongmongkolkul, P; Porter, FC; Rohrken, M; Huard, Z; Meadows, BT; Pushpawela, BG; Sokoloff, MD; Sun, L; Smith, JG; Wagner, SR; Bernard, D; Verderi, M; Bettoni, D; Bozzi, C; Calabrese, R; Cibinetto, G; Fioravanti, E; Garzia, I; Luppi, E; Santoro, V; Calcaterra, A; De Sangro, R; Finocchiaro, G; Martellotti, S; Patteri, P; Peruzzi, IM; Piccolo, M; Rotondo, M; Zallo, A; Passaggio, S; Patrignani, C; Shuve, BJ; Lacker, HM; Bhuyan, B; Mallik, U; Chen, C; Cochran, J; Prell, S; Gritsan, AV; Arnaud, N; Davier, M; Le Diberder, F; Lutz, AM | Abstract: © 2020 authors. Published by the American Physical Society. Published by the American Physical Society under the terms of the "https://creativecommons.org/licenses/by/4.0/" Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI. Using the initial-state radiation method, the e+e-→KSKL cross section from 1.98 to 2.54 GeV is measured in a data sample of 469 fb-1 collected with the BABAR detector. The results are used in conjunction with previous BABAR results for the e+e-→K+K-, e+e-→π+π-, e+e-→π+π-η, and e+e-→ωππ cross sections to investigate the nature of the resonance structure recently observed by the BESIII experiment in the e+e-→K+K- cross section.
More
Translated text
PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Try using models to generate summary,it takes about 60s
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Related Papers
B. Aubert, M. Bona, D. Boutigny, Y. Karyotakis, J. P. Lees, V. Poireau, X. Prudent, V. Tisserand, A. Zghiche, J. Garra Tico, E. Grauges, L. Lopez,
2007

被引用245 | 浏览

Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper

要点】:该研究通过初始态辐射方法测量了e+e-→KSKL反应截面,并结合其他反应道的测量结果,探究了BESIII实验在e+e-→K+K-反应中观察到的共振结构性质。

方法】:使用初始态辐射方法,在469 fb^-1的数据样本中,通过BABAR探测器进行e+e-→KSKL反应截面的测量。

实验】:实验采用BABAR探测器收集数据,数据集名称未明确提及,测量了e+e-→KSKL反应截面,并与其他反应道的测量结果结合进行分析。