Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Paterno Marc"'
Publikováno v:
EPJ Web of Conferences, Vol 251, p 03033 (2021)
Modern experiments in high energy physics analyze millions of events recorded in particle detectors to select the events of interest and make measurements of physics parameters. These data can often be stored as tabular data in files with detector in
Externí odkaz:
https://doaj.org/article/400c13b61516473f8f0b5ed863d6fe69
Autor:
Wospakrik Marianette, Schulz Holger, Kowalkowski Jim, Paterno Marc, Sehrish Saba, Ketchum Wesley, Ge Guanqun, Karagiorgi Georgia, Ross-Lonergan Mark
Publikováno v:
EPJ Web of Conferences, Vol 251, p 02065 (2021)
High Energy Physics (HEP) experiments generally employ sophisticated statistical methods to present results in searches of new physics. In the problem of searching for sterile neutrinos, likelihood ratio tests are applied to short-baseline neutrino o
Externí odkaz:
https://doaj.org/article/86a53c4d0b53495994517090d81817e6
Autor:
Sakiotis, Ioannis, Arumugam, Kamesh, Paterno, Marc, Ranjan, Desh, Terzic, Balsa, Zubair, Mohammad
We present our experience in porting optimized CUDA implementations to oneAPI. We focus on the use case of numerical integration, particularly the CUDA implementations of PAGANI and $m$-Cubes. We faced several challenges that caused performance degra
Externí odkaz:
http://arxiv.org/abs/2302.05730
Publikováno v:
EPJ Web of Conferences, Vol 214, p 05013 (2019)
The art event-based analysis framework is used by multiple Intensity Frontier and other experiments and projects in High Energy Physics (HEP). A system of tools and scripts based around a Fermilab-originated package management system called UNIX Prod
Externí odkaz:
https://doaj.org/article/6e291ffe0957488f92c4310d88b0d402
Publikováno v:
EPJ Web of Conferences, Vol 214, p 04059 (2019)
In their recent measurement of the neutrino oscillation parameters, NOvA uses a sample of approximately 25 million reconstructed spills to search for electron-neutrino appearance events. These events are stored in an n-tuple format, in 250 thousand R
Externí odkaz:
https://doaj.org/article/1bd4874617dd469c81025bf022ea00fd
Autor:
Lee, Sunwoo, Hou, Kai-yuan, Wang, Kewei, Sehrish, Saba, Paterno, Marc, Kowalkowski, James, Koziol, Quincey, Ross, Robert, Agrawal, Ankit, Choudhary, Alok, Liao, Wei-keng
In High Energy Physics (HEP), experimentalists generate large volumes of data that, when analyzed, helps us better understand the fundamental particles and their interactions. This data is often captured in many files of small size, creating a data m
Externí odkaz:
http://arxiv.org/abs/2205.01168
Autor:
Sakiotis, Ioannis, Arumugam, Kamesh, Paterno, Marc, Ranjan, Desh, Terzic, Balsa, Zubair, Mohammad
The task of multi-dimensional numerical integration is frequently encountered in physics and other scientific fields, e.g., in modeling the effects of systematic uncertainties in physical systems and in Bayesian parameter estimation. Multi-dimensiona
Externí odkaz:
http://arxiv.org/abs/2202.01753
Autor:
Sakiotis, Ioannis, Arumugam, Kamesh, Paterno, Marc, Ranjan, Desh, Terzić, Balša, Zubair, Mohammad
We present a new adaptive parallel algorithm for the challenging problem of multi-dimensional numerical integration on massively parallel architectures. Adaptive algorithms have demonstrated the best performance, but efficient many-core utilization i
Externí odkaz:
http://arxiv.org/abs/2104.06494
Autor:
Schulz, Holger, Wospakrik, Marianette, Ross-Lonergan, Mark, Ge, Guanqun, Sehrish, Saba, Paterno, Marc, Kowalkowski, Jim, Ketchum, Wes, Karagiorgi, Georgia
We present a computational model for the construction of Feldman-Cousins (FC) corrections frequently used in High Energy Physics (HEP) analysis. The program contains a grid-based minimization and is written in C++. Our algorithms exploit vectorizatio
Externí odkaz:
http://arxiv.org/abs/2002.07858
Autor:
Mhashilkar, Parag, Altunay, Mine, Berman, Eileen, Dagenhart, David, Fuess, Stuart, Holzman, Burt, Kowalkowski, James, Litvintsev, Dmitry, Lu, Qiming, Moibenko, Alexander, Paterno, Marc, Spentzouris, Panagiotis, Timm, Steven, Tiradani, Anthony, Vaandering, Eric, Hover, John, Bejar, Jose Caballero
HEPCloud is rapidly becoming the primary system for provisioning compute resources for all Fermilab-affiliated experiments. In order to reliably meet the peak demands of the next generation of High Energy Physics experiments, Fermilab must plan to el
Externí odkaz:
http://arxiv.org/abs/1904.08988