检索结果-内蒙古大学图书馆

42nd International Conference on High Energy Physics, ICHEP 2024

作者： Connor, Patrick L.S. Center for Data and Computing in Natural Sciences Universität Hamburg Germany

A vast program of determinations of the strong coupling αs is being undertaken by CMS. These measurements exploit several QCD dominated processes that are sensitive to αs, and present different theoretical and experimental challenges. A review of the current public results and perspective is given. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).

关键词：

来源：评论

学校读者我要写书评

暂无评论

Determination of the strong coupling from jet measurements at CMS

arXiv

引用

arXiv 2024年

作者： Connor, Patrick L.S. Center for Data and Computing in Natural Sciences Universität Hamburg Germany

关键词：

来源：评论

学校读者我要写书评

暂无评论

Recent jet measurements at CMS

Recent jet measurements at CMS

引用

2021 European Physical Society Conference on High Energy Physics, EPS-HEP 2021

作者： Connor, Patrick L.S. Institut für Experimentalphysik Center for Data Computing in Natural Sciences Universität Hamburg Hamburg Germany

Several measurements of jet cross sections in proton-proton collisions at 5.02 and 13 TeV with the CMS experiment are presented. Jets are reconstructed using the anti-kT clustering algorithm with R = 0.4 and R = 0.7. Double-differential measurements of inclusive jet production at 5.02 and 13 TeV are performed as a function of the jet transverse momentum and jet rapidity;furthermore, a triple-differential measurement as a function of leading jet transverse momentum, dijet azimuthal correlations, and jet multiplicity and a double-differential measurement as a function of jet multiplicity and single-jet transverse momentum are also provided for multijet production at 13 TeV. The measured jet cross sections are corrected for detector effects and compared with the predictions from perturbative QCD. Finally, a QCD interpretation of the inclusive jet measurement with R = 0.7 at 13 TeV is also presented. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0)

关键词： Clustering algorithms

来源：评论

学校读者我要写书评

暂无评论

ChatQCD: Let Large Language Models Explore QCD 42

ChatQCD: Let Large Language Models Explore QCD

引用

42nd International Conference on High Energy Physics, ICHEP 2024

作者： Sulc, Antonin Connor, Patrick L.S. Helmholtz-Zentrum Berlin fuer Materialien und Energie Albert-Einstein-Str. 15 Berlin12489 Germany Center for Data and Computing in Natural Sciences Universität Hamburg Albert-Einstein-Ring 10 HamburgD-22761 Germany

Quantum chromodynamics (QCD) has yielded a vast literature spanning distinct phenomena. We construct a corpus of papers and build a generative model. This model holds promise for accelerating the capability of scientists to consolidate their knowledge of QCD by the ability to generate and validate scientific works in the landscape of works related to QCD and similar problems in HEP. Furthermore, we discuss challenges and future directions of using large language models to integrate our scientific knowledge about QCD through the automated generation of explanatory scientific texts. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).

关键词： Quantum interference phenomena

来源：评论

学校读者我要写书评

暂无评论

Inclusive jet measurements in CMS 41

Inclusive jet measurements in CMS

引用

41st International Conference on High Energy Physics, ICHEP 2022

作者： Connor, Patrick L.S. HamburgD-22761 Germany Center for Data Computing in Natural Sciences Universität Hamburg Notkestraße 11 HamburgD-22607 Germany

Measurements of jet production in proton-proton collisions at the LHC are crucial for precise tests of QCD, improving the understanding of the proton structure and are important tools for searches for physics beyond the standard model. We describe the most recent set of inclusive jet measurements performed using CMS data, mentioning methodological specificities with respect to other analyses. Finally, we compare them to various theoretical predictions. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0)

关键词：

来源：评论

学校读者我要写书评

暂无评论

Revealing Connections in QCD with Machine Learning 42

Revealing Connections in QCD with Machine Learning

引用

42nd International Conference on High Energy Physics, ICHEP 2024

作者： Connor, Patrick L.S. Sulc, Antonin Center for Data and Computing in Natural Sciences Universität Hamburg Albert-Einstein-Ring 10 HamburgD-22761 Germany Helmholtz-Zentrum Berlin fuer Materialien und Energie Albert-Einstein-Str. 15 Berlin12489 Germany

This work utilises text analysis techniques to uncover connections and trends in quantum chromodynamics (QCD) research over time. Through embedding-based analysis, we are able to draw conceptual connections between disparate works across QCD subfields. Examining topic clustering and trajectories over time provides insights into new phenomena gaining momentum and experimental approaches coming to prominence in the QCD research area. Furthermore, we construct citation graphs between influential papers to reveal impactful contributions and relationships, compare them with respect to their topic, and propose intertopical and citation-related recommendations. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).

关键词： Cluster analysis

来源：评论

学校读者我要写书评

暂无评论

Characterizing Complex Network Properties of Knowledge Graphs 15

Characterizing Complex Network Properties of Knowledge Graph...

引用

15th International Conference on Knowledge Engineering and Ontology Development, KEOD 2023 as part of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2023

作者： Rossanez, Anderson da Silva Torres, Ricardo dos Reis, Julio Cesar Institute of Computing University of Campinas SP Campinas Brazil Agricultural Biosystems Engineering Wageningen Data Competence Center Wageningen University & Research Wageningen Netherlands Department of ICT and Natural Sciences Norwegian University of Science and Technology Ålesund Norway

ISBN: (纸本)9789897586712

Knowledge Graphs have been established as one the most relevant representations to encode knowledge, with relevant applications in the public and private sectors. One common research direction concerning the analysis of created knowledge graphs relies on the assumption that their intrinsic properties and structure are similar to what is observed in complex networks. However, studies concerning identifying typical complex network structures in knowledge graphs are lacking in the literature. This paper bridges this gap by analyzing commonly and recently used knowledge graphs in the semantic web field, seeking to demonstrate their complex network properties. Evaluation involving DBpedia and Wikidata data confirms the occurrence of intrinsic complex network structures in their respective knowledge graphs. Copyright © 2023 by SCITEPRESS – Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0).

关键词： Complex networks

来源：评论

学校读者我要写书评

暂无评论

Kinematic inventory of rock glaciers in the Nyainqentanglha Range using the MT-InSAR method

引用

International Journal of Digital Earth 2023年第1期16卷 3923-3948页

作者： Xuefei Zhang Min Feng Jinhao Xu Dezhao Yan Jing Wang Xiaoqing Zhou Tao Li Xiang Zhang Land Satellite Remote Sensing Application Center Ministry of Natural ResourcesBeijingPeople’s Republic of China Tibetan Plateau Data Center State Key Laboratory of Tibetan Plateau Earth SystemEnvironment and Resources(TPESER)Institute of Tibetan Plateau ResearchChinese Academy of SciencesBeijingPeople’s Republic of China Academy of Plateau Science and Sustainability Qinghai Normal UniversityXiningPeople’s Republic of China University of Chinese Academy of Sciences BeijingPeople’s Republic of China Research Institute of Intelligent Computing Zhejiang LaboratoryHangzhouPeople’s Republic of China

Rock glaciers are typical periglacial landforms with tongue or lobate morphological shapes and characterized by the distinct front,lateral margins,and often by ridge-and-furrow surface topography textures as well as kinematic characteristics,widely distributed in alpine *** Synthetic aperture radar interferometry(MT-InSAR),is a remote sensing technique with demonstrated effectiveness for detecting landform ***,its application to rock glaciers is challenged by temporal decorrelation and atmospheric phase noises due to complex topography and snow *** designed a quadtree segmentation and parallel computing-based MT-InSAR method to improve the quality and efficiency of deformation measurement of rock *** applied the method to a rock glacier inventory of the Nyainqentanglha Range,China,derived from high-resolution Gaofen-2 images,to quantify the activity rate of each rock *** showed that 32.1%(6,389)of the identified rock glaciers exhibited slope-parallel deformation rates exceeding 100 mm/*** activities of the rock glaciers exhibited strong correlations with their distance to glaciers,precipitation,freeze-thaw magnitude,and permafrost occurrence *** results demonstrate the effectiveness of the developed segmentation-parallel MT-InSAR method for monitoring rock glacier deformation over a large region.

关键词： Rock glacier MT-InSAR quadtree segmentation Nyaingentanglha kinematics

来源：评论

学校读者我要写书评

暂无评论

Feature selection with distance correlation

引用

Physical Review D 2024年第5期109卷 054009-054009页

作者： Ranit Das Gregor Kasieczka David Shih NHETC Department of Physics and Astronomy Rutgers University Piscataway New Jersey 08854 USA Institut für Experimentalphysik Universität Hamburg 22761 Hamburg Germany Center for Data and Computing in Natural Sciences (CDCS) 22607 Hamburg Germany

Choosing which properties of the data to use as input to multivariate decision algorithms—also known as feature selection—is an important step in solving any problem with machine learning. While there is a clear trend towards training sophisticated deep networks on large numbers of relatively unprocessed inputs (so-called automated feature engineering), for many tasks in physics, sets of theoretically well-motivated and well-understood features already exist. Working with such features can bring many benefits, including greater interpretability, reduced training and run time, and enhanced stability and robustness. We develop a new feature selection method based on distance correlation, and demonstrate its effectiveness on the tasks of boosted top- and W-tagging. Using our method to select features from a set of over 7,000 energy flow polynomials, we show that we can match the performance of much deeper architectures, by using only ten features and two orders-of-magnitude fewer model parameters.

关键词： Phenomenology Signatures with jets Signatures with top quarks Strong interaction Machine learning Particle data analysis

来源：评论

学校读者我要写书评

暂无评论

Refining fast simulation using machine learning

arXiv

引用

arXiv 2023年

作者： Bein, Samuel Connor, Patrick Pedro, Kevin Schleper, Peter Wolf, Moritz University of Hamburg Institut für Experimentalphysik Germany Center for Data and Computing in Natural Sciences Hamburg Germany Fermi National Accelerator Laboratory BataviaIL United States

At the CMS experiment, a growing reliance on the fast Monte Carlo application (FastSim) will accompany the high luminosity and detector granularity expected in Phase 2. The FastSim chain is roughly 10 times faster than the application based on the Geant4 detector simulation and full reconstruction referred to as FullSim. However, this advantage comes at the price of decreased accuracy in some of the final analysis observables. In this contribution, a machine learning-based technique to refine those observables is presented. We employ a regression neural network trained with a sophisticated combination of multiple loss functions to provide post-hoc corrections to samples produced by the FastSim chain. The results show considerably improved agreement with the FullSim output and an improvement in correlations among output observables and external parameters. This technique is a promising replacement for existing correction factors, providing higher accuracy and thus contributing to the wider usage of FastSim. Copyright © 2023, The Authors. All rights reserved.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：