Ostdiek, Bryan - 检索结果 - CERN Document Server

搜寻专辑:

排序	结果显示	输出格式:

CERN Document Server	找到 4 笔记录	检索需时 0.78 秒.

The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider / Aarrestad, Thea (CERN) ; van Beekveld, Melissa (Oxford U., Theor. Phys.) ; Bona, Marcella (Queen Mary, U. of London) ; Boveia, Antonio (Ohio State U.) ; Caron, Sascha (Nikhef, Amsterdam) ; Davies, Joe (Queen Mary, U. of London) ; de Simone, Andrea (SISSA, Trieste ; INFN, Trieste) ; Doglioni, Caterina (Lund U.) ; Duarte, Javier (UC, San Diego) ; Farbin, Amir (Texas U., Arlington) et al.
We describe the outcome of a data challenge conducted as part of the Dark Machines Initiative and the Les Houches 2019 workshop on Physics at TeV colliders. The challenged aims at detecting signals of new physics at the LHC using unsupervised machine learning algorithms. [...]
arXiv:2105.14027; FERMILAB-PUB-21-285-CMS.- 2022-01-28 - 57 p. - Published in : SciPost Phys. 12 (2022) 043 Fulltext: 2105.14027 - PDF; fermilab-pub-21-285-cms - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server

详细记录

What is the machine learning. / Ostdiek, Bryan (speaker) (University of Oregon)
Applications of machine learning tools to problems of physical interest are often criticized for producing sensitivity at the expense of transparency. In this talk, I explore a procedure for identifying combinations of variables -- aided by physical intuition -- that can discriminate signal from background. [...]
2018 - 1373. Machine Learning; 2nd IML Machine Learning Workshop External links: Talk details; Event details In : 2nd IML Machine Learning Workshop

详细记录

Dark Matter from the Supersymmetric Custodial Triplet Model / Delgado, Antonio (Notre Dame U. ; CERN) ; Garcia-Pepin, Mateo (Barcelona, IFAE) ; Ostdiek, Bryan (Notre Dame U.) ; Quiros, Mariano (ICREA, Barcelona ; Barcelona, IFAE)
The Supersymmetric Custodial Triplet Model (SCTM) adds to the particle content of the MSSM three $SU(2)_L$ triplet chiral superfields with hypercharge $Y=(0,\pm1)$. At the superpotential level the model respects a global $SU(2)_L \otimes SU(2)_R$ symmetry only broken by the Yukawa interactions. [...]
arXiv:1504.02486; CERN-PH-TH-2015-078; CERN-PH-TH-2015-078.- Geneva : CERN, 2015-07-14 - 16 p. - Published in : Phys. Rev. D 92 (2015) 015011 APS Open Access article: PDF; Fulltext: PDF; External link: Preprint

详细记录

Catching sparks from well-forged neutralinos / Bramante, Joseph (Notre Dame U.) ; Delgado, Antonio (Notre Dame U. ; CERN) ; Elahi, Fatemeh (Notre Dame U.) ; Martin, Adam (Notre Dame U.) ; Ostdiek, Bryan (Notre Dame U.)
In this paper we present a new search technique for electroweakinos, the superpartners of electroweak gauge and Higgs bosons, based on final states with missing transverse energy, a photon, and a dilepton pair, $\ell^+\,\ell^- + \gamma + \displaystyle{\not} E_T$. Unlike traditional electroweakino searches, which perform best when $m_{\widetilde{\chi}^0_{2,3}} - m_{\widetilde{\chi}^0_1}, m_{\widetilde{\chi}^{\pm}} - m_{\widetilde{\chi}^0_1} > m_Z$, our search favors nearly degenerate spectra; degenerate electroweakinos typically have a larger branching ratio to photons, and the cut $m_{\ell\ell} \ll m_Z$ effectively removes on-shell Z boson backgrounds while retaining the signal. [...]
arXiv:1408.6530; CERN-PH-TH-2014-164; CERN-PH-TH-2014-164.- 2014-11-11 - 17 p. - Published in : Phys. Rev. D 90 (2014) 095008 Fulltext: PDF; External link: Preprint

详细记录

参见：相似的作者
2	Ostdiek, B
4	Ostdiek, B.

您想得到有关这检索条件的最新结果吗？
建立您的电邮警报或订阅 RSS feed.

没有寻找到什么? 尝试在以下的服务器查寻：
Ostdiek, Bryan 在 Amazon Ostdiek, Bryan 在 CERN EDMS Ostdiek, Bryan 在 CERN Intranet Ostdiek, Bryan 在 CiteSeer Ostdiek, Bryan 在 Google Books Ostdiek, Bryan 在 Google Scholar Ostdiek, Bryan 在 Google Web Ostdiek, Bryan 在 IEC	Ostdiek, Bryan 在 IHS Ostdiek, Bryan 在 INSPIRE Ostdiek, Bryan 在 ISO Ostdiek, Bryan 在 KISS Books/Journals Ostdiek, Bryan 在 KISS Preprints Ostdiek, Bryan 在 NEBIS Ostdiek, Bryan 在 SLAC Library Catalog Ostdiek, Bryan 在 Scirus

CERN Document Server

Access articles, reports and multimedia content in HEP

Main menu

CERN Accelerating science