Zobrazeno 1 - 10
of 2 424
pro vyhledávání: '"Gray , Lindsey"'
Autor:
Badea, Anthony, Bean, Alice, Berry, Doug, Dickinson, Jennet, DiPetrillo, Karri, Fahim, Farah, Gray, Lindsey, Di Guglielmo, Giuseppe, Jiang, David, Kovach-Fuentes, Rachel, Maksimovic, Petar, Mills, Corrinne, Neubauer, Mark S., Parpillon, Benjamin, Shekar, Danush, Swartz, Morris, Syal, Chinar, Tran, Nhan, Yoo, Jieun
Detectors at future high energy colliders will face enormous technical challenges. Disentangling the unprecedented numbers of particles expected in each event will require highly granular silicon pixel detectors with billions of readout channels. Wit
Externí odkaz:
http://arxiv.org/abs/2410.02945
Autor:
Smith, Nick, Spitzbart, Daniel, Dickinson, Jennet, Wilson, Jon, Gray, Lindsey, Mohrman, Kelci, Bhattacharya, Saptaparna, Piccinelli, Andrea, Roy, Titas, Paspalaki, Garyfallia, Fontes, Duarte, Martin, Adam, Shepherd, William, Cruz, Sergio Sánchez, Goncalves, Dorival, Gritsan, Andrei, Prosper, Harrison, Junk, Tom, Cranmer, Kyle, Peskin, Michael, Gilbert, Andrew, Langford, Jonathon, Petriello, Frank, Mantani, Luca, Wightman, Andrew, Knight, Charlotte, Shyamsundar, Prasanth, Basnet, Aashwin, Boldrini, Giacomo, Lannon, Kevin
The LPC EFT workshop was held April 25-26, 2024 at the University of Notre Dame. The workshop was organized into five thematic sessions: "how far beyond linear" discusses issues of truncation and validity in interpretation of results with an eye towa
Externí odkaz:
http://arxiv.org/abs/2408.11229
Autor:
Parpillon, Benjamin, Syal, Chinar, Yoo, Jieun, Dickinson, Jennet, Swartz, Morris, Di Guglielmo, Giuseppe, Bean, Alice, Berry, Douglas, Valentin, Manuel Blanco, DiPetrillo, Karri, Badea, Anthony, Gray, Lindsey, Maksimovic, Petar, Mills, Corrinne, Neubauer, Mark S., Pradhan, Gauri, Tran, Nhan, Wen, Dahai, Fahim, Farah
We present a smart pixel prototype readout integrated circuit (ROIC) designed in CMOS 28 nm bulk process, with in-pixel implementation of an artificial intelligence (AI) / machine learning (ML) based data filtering algorithm designed as proof-of-prin
Externí odkaz:
http://arxiv.org/abs/2406.14860
Autor:
Dickinson, Jennet, Kovach-Fuentes, Rachel, Gray, Lindsey, Swartz, Morris, Di Guglielmo, Giuseppe, Bean, Alice, Berry, Doug, Valentin, Manuel Blanco, DiPetrillo, Karri, Fahim, Farah, Hirschauer, James, Kulkarni, Shruti R., Lipton, Ron, Maksimovic, Petar, Mills, Corrinne, Neubauer, Mark S., Parpillon, Benjamin, Pradhan, Gauri, Syal, Chinar, Tran, Nhan, Wen, Dahai, Yoo, Jieun, Young, Aaron
The combinatorics of track seeding has long been a computational bottleneck for triggering and offline computing in High Energy Physics (HEP), and remains so for the HL-LHC. Next-generation pixel sensors will be sufficiently fine-grained to determine
Externí odkaz:
http://arxiv.org/abs/2312.11676
Autor:
Savard, Claire, Manganelli, Nicholas, Holzman, Burt, Gray, Lindsey, Perloff, Alexx, Pedro, Kevin, Stenson, Kevin, Ulmer, Keith
With machine learning applications now spanning a variety of computational tasks, multi-user shared computing facilities are devoting a rapidly increasing proportion of their resources to such algorithms. Graph neural networks (GNNs), for example, ha
Externí odkaz:
http://arxiv.org/abs/2312.06838
Autor:
Gutsche, Oliver, Bose, Tulika, Votava, Margaret, Mason, David, Melo, Andrew, Liu, Mia, Hufnagel, Dirk, Gray, Lindsey, Hildreth, Mike, Holzman, Burt, Lannon, Kevin, Sehrish, Saba, Sperka, David, Letts, James, Bauerdick, Lothar, Bloom, Kenneth
The HL-LHC run is anticipated to start at the end of this decade and will pose a significant challenge for the scale of the HEP software and computing infrastructure. The mission of the U.S. CMS Software & Computing Operations Program is to develop a
Externí odkaz:
http://arxiv.org/abs/2312.00772
Autor:
Yoo, Jieun, Dickinson, Jennet, Swartz, Morris, Di Guglielmo, Giuseppe, Bean, Alice, Berry, Douglas, Valentin, Manuel Blanco, DiPetrillo, Karri, Fahim, Farah, Gray, Lindsey, Hirschauer, James, Kulkarni, Shruti R., Lipton, Ron, Maksimovic, Petar, Mills, Corrinne, Neubauer, Mark S., Parpillon, Benjamin, Pradhan, Gauri, Syal, Chinar, Tran, Nhan, Wen, Dahai, Young, Aaron
Highly granular pixel detectors allow for increasingly precise measurements of charged particle tracks. Next-generation detectors require that pixel sizes will be further reduced, leading to unprecedented data rates exceeding those foreseen at the Hi
Externí odkaz:
http://arxiv.org/abs/2310.02474
Autor:
Aehle, Max, Arsini, Lorenzo, Barreiro, R. Belén, Belias, Anastasios, Bury, Florian, Cebrian, Susana, Demin, Alexander, Dickinson, Jennet, Donini, Julien, Dorigo, Tommaso, Doro, Michele, Gauger, Nicolas R., Giammanco, Andrea, Gray, Lindsey, González, Borja S., Kain, Verena, Kieseler, Jan, Kusch, Lisa, Liwicki, Marcus, Maier, Gernot, Nardi, Federico, Ratnikov, Fedor, Roussel, Ryan, de Austri, Roberto Ruiz, Sandin, Fredrik, Schenk, Michael, Scarpa, Bruno, Silva, Pedro, Strong, Giles C., Vischia, Pietro
In this article we examine recent developments in the research area concerning the creation of end-to-end models for the complete optimization of measuring instruments. The models we consider rely on differentiable programming methods and on the spec
Externí odkaz:
http://arxiv.org/abs/2310.05673
Autor:
Benelli, Gabriele, Chen, Thomas Y., Duarte, Javier, Feickert, Matthew, Graham, Matthew, Gray, Lindsey, Hackett, Dan, Harris, Phil, Hsu, Shih-Chieh, Kasieczka, Gregor, Khoda, Elham E., Komm, Matthias, Liu, Mia, Neubauer, Mark S., Norberg, Scarlet, Perloff, Alexx, Rieger, Marcel, Savard, Claire, Terao, Kazuhiro, Thais, Savannah, Roy, Avik, Vlimant, Jean-Roch, Chachamis, Grigorios
The growing role of data science (DS) and machine learning (ML) in high-energy physics (HEP) is well established and pertinent given the complex detectors, large data, sets and sophisticated analyses at the heart of HEP research. Moreover, exploiting
Externí odkaz:
http://arxiv.org/abs/2207.09060
Autor:
Flechas, Maria Acosta, Attebury, Garhan, Bloom, Kenneth, Bockelman, Brian, Gray, Lindsey, Holzman, Burt, Lundstedt, Carl, Shadura, Oksana, Smith, Nicholas, Thiltges, John
Prior to the public release of Kubernetes it was difficult to conduct joint development of elaborate analysis facilities due to the highly non-homogeneous nature of hardware and network topology across compute facilities. However, since the advent of
Externí odkaz:
http://arxiv.org/abs/2203.10161