Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Bryan Ostdiek"'
Publikováno v:
Journal of High Energy Physics, Vol 2023, Iss 7, Pp 1-38 (2023)
Abstract In this paper, we present a method of embedding physics data manifolds with metric structure into lower dimensional spaces with simpler metrics, such as Euclidean and Hyperbolic spaces. We then demonstrate that it can be a powerful step in t
Externí odkaz:
https://doaj.org/article/1e181b00ca1449eeae8f0bcc8fb08b79
Publikováno v:
Journal of High Energy Physics, Vol 2022, Iss 3, Pp 1-31 (2022)
Abstract Anomaly detection relies on designing a score to determine whether a particular event is uncharacteristic of a given background distribution. One way to define a score is to use autoencoders, which rely on the ability to reconstruct certain
Externí odkaz:
https://doaj.org/article/c3c0850196424188b1f9243ed778ac17
Publikováno v:
Journal of High Energy Physics, Vol 2021, Iss 9, Pp 1-37 (2021)
Abstract One of the key tasks of any particle collider is measurement. In practice, this is often done by fitting data to a simulation, which depends on many parameters. Sometimes, when the effects of varying different parameters are highly correlate
Externí odkaz:
https://doaj.org/article/fbc68ca321e4414b95f66a05dab12907
Publikováno v:
Journal of High Energy Physics, Vol 2020, Iss 6, Pp 1-37 (2020)
Abstract The discovery of the stop — the Supersymmetric partner of the top quark — is a key goal of the physics program enabled by the Large Hadron Collider. Although much of the accessible parameter space has already been probed, all current sea
Externí odkaz:
https://doaj.org/article/34c2ce942b2b43b695f5d685aa43f5c7
Publikováno v:
Journal of High Energy Physics, Vol 2019, Iss 7, Pp 1-38 (2019)
Abstract A new, strongly-coupled “dark” sector could be accessible to LHC searches now. These dark sectors consist of composites formed from constituents that are charged under the electroweak group and interact with the Higgs, but are neutral un
Externí odkaz:
https://doaj.org/article/ab23edd91190456681d52f3543900ef8
Autor:
Bryan Ostdiek
Publikováno v:
SciPost Physics, Vol 12, Iss 1, p 045 (2022)
There is an increased interest in model agnostic search strategies for physics beyond the standard model at the Large Hadron Collider. We introduce a Deep Set Variational Autoencoder and present results on the Dark Machines Anomaly Score Challenge
Externí odkaz:
https://doaj.org/article/6b12fa1ea06d4c0685a92ddf2efb07eb
Publikováno v:
Journal of High Energy Physics, Vol 2018, Iss 7, Pp 1-30 (2018)
Abstract In this paper, we recast a “stealth stop” search in the notoriously difficult region of the stop-neutralino Simplified Model parameter space for which mt˜1−mχ˜10≃mt $$ m\left({\tilde{t}}_1\right)-m\left({\tilde{\upchi}}_1^0\right)
Externí odkaz:
https://doaj.org/article/09743b75eabc42b091a4f606ba5fadc2
Publikováno v:
Journal of High Energy Physics, Vol 2018, Iss 2, Pp 1-28 (2018)
Abstract Determining the best method for training a machine learning algorithm is critical to maximizing its ability to classify data. In this paper, we compare the standard “fully supervised” approach (which relies on knowledge of event-by-event
Externí odkaz:
https://doaj.org/article/8d60ac49e36143a4af9eb80df3e3e310
Autor:
Lina Necib, Bryan Ostdiek, Mariangela Lisanti, Timothy Cohen, Marat Freytsis, Shea Garrison-Kimmel, Philip F. Hopkins, Andrew Wetzel, Robyn Sanderson
Publikováno v:
Nature Astronomy. 6:866-875
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ffaa8f19c0296daca47fa10bfa5aeb1
https://doi.org/10.1038/s41550-022-01690-3
https://doi.org/10.1038/s41550-022-01690-3
Publikováno v:
SciPost Physics, Vol 8, Iss 1, p 011 (2020)
Searching for new physics in large data sets needs a balance between two competing effects---signal identification vs background distortion. In this work, we perform a systematic study of both single variable and multivariate jet tagging methods that
Externí odkaz:
https://doaj.org/article/e9001d94a23b483e846618d706562316