找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Machine Learning at the Belle II Experiment; The Full Event Inter Thomas Keck Book 2018 The Editor(s) (if applicable) and The Author(s), un

[復制鏈接]
查看: 43954|回復: 39
樓主
發(fā)表于 2025-3-21 18:39:21 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Machine Learning at the Belle II Experiment
副標題The Full Event Inter
編輯Thomas Keck
視頻videohttp://file.papertrans.cn/621/620580/620580.mp4
概述Nominated as an outstanding Ph.D thesis by the Karlsruhe Institute of Technology, Karlsruhe, Germany.Includes a comprehensive introduction into the Full Event Interpretation.Provides detailed results
叢書名稱Springer Theses
圖書封面Titlebook: Machine Learning at the Belle II Experiment; The Full Event Inter Thomas Keck Book 2018 The Editor(s) (if applicable) and The Author(s), un
描述.This book explores how machine learning can be used to improve the efficiency of expensive fundamental science experiments...The first part introduces the Belle and Belle II experiments, providing a detailed description of the Belle to Belle II data conversion tool, currently used by many analysts.?..The second part covers machine learning in high-energy physics, discussing the Belle II machine learning infrastructure and selected algorithms in detail. Furthermore, it examines several machine learning techniques that can be used to control and reduce systematic uncertainties.?..The third part investigates the important exclusive B tagging technique, unique to physics experiments operating at the Υ resonances, and studies in-depth the novel Full Event Interpretation algorithm, which doubles the maximum tag-side efficiency of its predecessor.?..The fourth part presents a complete measurement of the branching fraction of the rare leptonic B decay “B→tau nu”, which is used to validate the algorithms discussed in previous parts..
出版日期Book 2018
關鍵詞Machine Learning at Belle II; Full Event Interpretation; Exclusive Tagging; Hadronic Tagging; Semilepton
版次1
doihttps://doi.org/10.1007/978-3-319-98249-6
isbn_ebook978-3-319-98249-6Series ISSN 2190-5053 Series E-ISSN 2190-5061
issn_series 2190-5053
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

書目名稱Machine Learning at the Belle II Experiment影響因子(影響力)




書目名稱Machine Learning at the Belle II Experiment影響因子(影響力)學科排名




書目名稱Machine Learning at the Belle II Experiment網絡公開度




書目名稱Machine Learning at the Belle II Experiment網絡公開度學科排名




書目名稱Machine Learning at the Belle II Experiment被引頻次




書目名稱Machine Learning at the Belle II Experiment被引頻次學科排名




書目名稱Machine Learning at the Belle II Experiment年度引用




書目名稱Machine Learning at the Belle II Experiment年度引用學科排名




書目名稱Machine Learning at the Belle II Experiment讀者反饋




書目名稱Machine Learning at the Belle II Experiment讀者反饋學科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權限
沙發(fā)
發(fā)表于 2025-3-21 21:03:20 | 只看該作者
Thomas KeckNominated as an outstanding Ph.D thesis by the Karlsruhe Institute of Technology, Karlsruhe, Germany.Includes a comprehensive introduction into the Full Event Interpretation.Provides detailed results
板凳
發(fā)表于 2025-3-22 02:33:34 | 只看該作者
地板
發(fā)表于 2025-3-22 06:08:59 | 只看該作者
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
5#
發(fā)表于 2025-3-22 12:32:05 | 只看該作者
6#
發(fā)表于 2025-3-22 13:27:24 | 只看該作者
7#
發(fā)表于 2025-3-22 17:05:59 | 只看該作者
8#
發(fā)表于 2025-3-23 01:12:48 | 只看該作者
,,particle physics (SM) are small, hence leptonic decays are so-called .. The theoretical uncertainties on the predicted branching fraction are small and the possible influence of physics beyond the Standard Model (BSM) can be large.
9#
發(fā)表于 2025-3-23 02:58:34 | 只看該作者
10#
發(fā)表于 2025-3-23 06:28:23 | 只看該作者
 關于派博傳思  派博傳思旗下網站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網 吾愛論文網 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經驗總結 SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網安備110108008328) GMT+8, 2025-10-13 13:38
Copyright © 2001-2015 派博傳思   京公網安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
湟源县| 榕江县| 尉犁县| 离岛区| 綦江县| 上杭县| 铅山县| 柳河县| 洛南县| 武宣县| 长汀县| 潮安县| 五河县| 盐津县| 绥化市| 舟曲县| 长葛市| 富锦市| 临高县| 霍城县| 徐州市| 甘泉县| 宁国市| 钦州市| 长寿区| 安国市| 宁武县| 原阳县| 天水市| 遂昌县| 垦利县| 沁阳市| 平阴县| 曲靖市| 景洪市| 长治市| 嘉善县| 乐平市| 聂拉木县| 鄂伦春自治旗| 广饶县|