Krause, Claudius - 検索結果 - CERN Document Server

検索コレクション:

並べ替え：	結果の表示	出力フォーマット:

CERN Document Server	7 のレコードが見つかりました。	検索にかかった時間： 0.58 秒

CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation / Krause, Claudius (ed.) (Vienna, OAW ; Heidelberg U.) ; Faucci Giannelli, Michele (ed.) (INFN, Rome2 ; Chalmers U. Tech.) ; Kasieczka, Gregor (ed.) (Hamburg U.) ; Nachman, Benjamin (ed.) (LBNL, Berkeley) ; Salamani, Dalila (ed.) (CERN) ; Shih, David (ed.) (Rutgers U., Piscataway) ; Zaborowska, Anna (ed.) (CERN) ; Amram, Oz (Fermilab) ; Borras, Kerstin (DESY ; Aachen, Tech. Hochsch.) ; Buckley, Matthew R. (Rutgers U., Piscataway) et al.
We present the results of the "Fast Calorimeter Simulation Challenge 2022" - the CaloChallenge. [...]
arXiv:2410.21611 ; HEPHY-ML-24-05 ; FERMILAB-PUB-24-0728-CMS ; TTK-24-43. - 204.
Fermilab Library Server - Fulltext - Fulltext

レコードの詳細 - ほとんど同じレコード

Normalizing Flows for High-Dimensional Detector Simulations / Ernst, Florian (U. Heidelberg, ITP ; CERN) ; Favaro, Luigi (U. Heidelberg, ITP) ; Krause, Claudius (U. Heidelberg, ITP ; Vienna, OAW) ; Plehn, Tilman (U. Heidelberg, ITP) ; Shih, David (Rutgers U., Piscataway)
Whenever invertible generative networks are needed for LHC physics, normalizing flows show excellent performance. [...]
arXiv:2312.09290. - 24 p.
Fulltext

レコードの詳細 - ほとんど同じレコード

Exploiting Differentiable Programming for the End-to-end Optimization of Detectors / MODE Collaboration
The coming of age of differentiable programming makes possible today to create complete computer models of experimental apparatus that include the stochastic data-generation processes, the full modeling of the reconstruction and inference procedures, and a suitably defined objective function, along with the cost of any given detector configuration, geometry and materials. [...]
2022. - 8 p.
Fulltext

レコードの詳細 - ほとんど同じレコード

Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning / Shanahan, Phiala (MIT) ; Terao, Kazuhiro (SLAC) ; Whiteson, Daniel (UC, Irvine) ; Aarts, Gert (Swansea U. ; ECT, Trento ; Fond. Bruno Kessler, Trento) ; Adelmann, Andreas (Northeastern U. ; PSI, Villigen) ; Akchurin, N. (Texas Tech.) ; Alexandru, Andrei (George Washington U. ; Maryland U.) ; Amram, Oz (Johns Hopkins U.) ; Andreassen, Anders (Google Inc.) ; Apresyan, Artur (Fermilab) et al.
The rapidly-developing intersection of machine learning (ML) with high-energy physics (HEP) presents both opportunities and challenges to our community. [...]
arXiv:2209.07559 ; FERMILAB-CONF-22-719-ND-PPD-QIS-SCD. -
Fermilab Library Server - eConf - Fulltext - Fulltext

レコードの詳細 - ほとんど同じレコード

New developments in fast simulation with machine learning / Krause, Claudius (speaker) (Rutgers University)
2022 - 1438. Conferences; 10th Edition of the Large Hadron Collider Physics Conference External links: Talk details; Event details In : 10th Edition of the Large Hadron Collider Physics Conference

レコードの詳細 - ほとんど同じレコード

Event Generators for High-Energy Physics Experiments / Campbell, J.M. (Fermilab) ; Diefenthaler, M. (Jefferson Lab) ; Hobbs, T.J. (Fermilab ; IIT, Chicago) ; Höche, Stefan (Fermilab) ; Isaacson, Joshua (Fermilab) ; Kling, Felix (DESY) ; Mrenna, Stephen (Fermilab) ; Reuter, J. (DESY) ; Alioli, S. (Milan Bicocca U. ; INFN, Milan Bicocca) ; Andersen, J.R. (Durham U., IPPP) et al.
We provide an overview of the status of Monte-Carlo event generators for high-energy particle physics. Guided by the experimental needs and requirements, we highlight areas of active development, and opportunities for future improvements. [...]
arXiv:2203.11110; CP3-22-12; DESY-22-042; FERMILAB-PUB-22-116-SCD-T; IPPP/21/51, JLAB-PHY-22-3576; KA-TP-04-2022; LA-UR-22-22126; LU-TP-22-12; MCNET-22-04, OUTP-22-03P; P3H-22-024; PITT-PACC 2207; UCI-TR-2022-02.- 2024-05-24 - 225 p. - Published in : 10.21468/SciPostPhys.16.5.130 Fulltext: jt - PDF; 2203.11110 - PDF; Fulltext from Publisher: PDF; External links: JLab Document Server; Fermilab Library Server; eConf
In : 2021 Snowmass Summer Study, Seattle, WA, United States, 11 - 20 July 2021, pp.

レコードの詳細 - ほとんど同じレコード

Toward the end-to-end optimization of particle physics instruments with differentiable programming / MODE Collaboration
The full optimization of the design and operation of instruments whose functioning relies on the interaction of radiation with matter is a super-human task, given the large dimensionality of the space of possible choices for geometry, detection technology, materials, data-acquisition, and information-extraction techniques, and the interdependence of the related parameters. On the other hand, massive potential gains in performance over standard, "experience-driven" layouts are in principle within our reach if an objective function fully aligned with the final goals of the instrument is maximized by means of a systematic search of the configuration space. [...]
arXiv:2203.13818.- 2023-05-25 - 56 p. - Published in : Rev. Phys. 10 (2023) 100085 Fulltext: 2203.13818 - PDF; Publication - PDF;

レコードの詳細 - ほとんど同じレコード

似た著者名：
6	Krause, C
2	Krause, C.
6	Krause, Christian
2	Krause, Christina
1	Krause, Christina M
10	Krause, Christopher

Interested in being notified about new results for this query?
Set up a personal email alert or subscribe to the RSS feed.

捜していたものを見つけなかったならば、他のサーバーもお試しください：
Krause, Claudius 中の Amazon Krause, Claudius 中の CERN EDMS Krause, Claudius 中の CERN Intranet Krause, Claudius 中の CiteSeer Krause, Claudius 中の Google Books Krause, Claudius 中の Google Scholar Krause, Claudius 中の Google Web Krause, Claudius 中の IEC	Krause, Claudius 中の IHS Krause, Claudius 中の INSPIRE Krause, Claudius 中の ISO Krause, Claudius 中の KISS Books/Journals Krause, Claudius 中の KISS Preprints Krause, Claudius 中の NEBIS Krause, Claudius 中の SLAC Library Catalog Krause, Claudius 中の Scirus

CERN Document Server

Access articles, reports and multimedia content in HEP

Main menu

CERN Accelerating science