Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Venkitesh Ayyar"'
Autor:
Anna-Maria Elisabeth Glück, George Fleming, Richard C. Brower, Venkitesh Ayyar, Evan Owen, Timothy Raben, Chung-I TAN
Publikováno v:
Proceedings of The 39th International Symposium on Lattice Field Theory — PoS(LATTICE2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b92c9dc0310128cf3f93745af2d80c25
https://doi.org/10.22323/1.430.0370
https://doi.org/10.22323/1.430.0370
Publikováno v:
Publications of the Astronomical Society of the Pacific. 134:094501
The ability to discover new transient candidates via image differencing without direct human intervention is an important task in observational astronomy. For these kind of image classification problems, machine learning techniques such as Convolutio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a50740b8af182325c8b2064f15194fdf
https://doi.org/10.1088/1538-3873/ac8375
https://doi.org/10.1088/1538-3873/ac8375
Publikováno v:
EPJ Web of Conferences, Vol 245, p 05012 (2020)
High Energy Physics experiments like the LUX-ZEPLIN dark matter experiment face unique challenges when running their computation on High Performance Computing resources. In this paper, we describe some strategies to optimize memory usage of simulatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e36d58cf6e3571a38bc1ad83592695d5
http://arxiv.org/abs/2002.06304
http://arxiv.org/abs/2002.06304
Publikováno v:
EPJ Web of Conferences, Vol 245, p 06003 (2020)
The success of Convolutional Neural Networks (CNNs) in image classification has prompted efforts to study their use for classifying image data obtained in Particle Physics experiments. Here, we discuss our efforts to apply CNNs to 2D and 3D image dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3aca0e065e3d8e00a6292467cfb0a978
http://arxiv.org/abs/2002.05761
http://arxiv.org/abs/2002.05761
Autor:
Venkitesh Ayyar, Wahid Bhimji, Prabhat, Spencer Klein, Sally Robertson, Nick Choma, Tomasz Palczewski, Zahra Ronaghi, Lisa Gerhardt
The success of Convolutional Neural Networks (CNNs) in image classification has prompted efforts to study their use for classifying image data obtained in Particle Physics experiments. In this poster, I will discuss our efforts to apply CNNs to 3D im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e512c96aaac877905011c9404b42636
High Energy Physics experiments face unique challenges when running their computation on High Performance Computing (HPC) resources. The LZ dark matter detection experiment has two data centers, one each in the US and UK, to perform computations. Its
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5282e0c59747ac29a1c520f39c1a43bc
Autor:
William I. Jay, Maarten Golterman, Daniel C. Hackett, Benjamin Svetitsky, Venkitesh Ayyar, Ethan T. Neil, Yigal Shamir
Publikováno v:
Physical Review
Working in a two-representation lattice gauge theory that is close to a composite-Higgs model, we calculate the low-energy constant CLR which controls the contribution of the electroweak gauge bosons to the Higgs potential. In QCD, the corresponding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ace5f3e869ff1577b503a1364b62c7b3
https://doi.org/10.1103/physrevd.99.094504
https://doi.org/10.1103/physrevd.99.094504
Autor:
Benjamin Svetitsky, Venkitesh Ayyar, Ethan T. Neil, Thomas DeGrand, William I. Jay, Daniel C. Hackett, Yigal Shamir
Publikováno v:
Physical Review
Partial compositeness is a mechanism for the generation of fermion masses which replaces a direct Higgs coupling to the fermions by a linear mixing with heavy composite partners. We present the first calculation of the relevant matrix element in a la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72357b5fca88dfa8dcf4dbf418f812a7
https://doi.org/10.1103/physrevd.99.094502
https://doi.org/10.1103/physrevd.99.094502
Autor:
Ethan T. Neil, Benjamin Svetitsky, Thomas DeGrand, Maarten Golterman, Venkitesh Ayyar, Yigal Shamir, William I. Jay, Daniel C. Hackett
We have calculated quantities of interest to a theory of compositeness. The lattice model, approximating the candidate theory, is the SU(4) gauge theory coupled to fermions in two color representations. For the composite Higgs, a current correlator g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c81075f63c6c398c1c9f5bf92476b25a
Publikováno v:
Physical Review
We study the two dimensional lattice Thirring model in the presence of a fermion chemical po- tential. Our model is asymptotically free, contains massive fermions that mimic a baryon and light bosons that mimic pions. Hence it is a useful toy model f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6f21f2f79f006e7e82322e76b864893
https://doi.org/10.1103/physrevd.97.054501
https://doi.org/10.1103/physrevd.97.054501