Search Results - "Hewes, V."

Addressing GPU memory limitations for Graph Neural Networks in High-Energy Physics applications by Claire Songhyun Lee, V. Hewes, Giuseppe Cerati, Kewei Wang, Adam Aurisano, Ankit Agrawal, Alok Choudhary, Wei-Keng Liao

“…IntroductionReconstructing low-level particle tracks in neutrino physics can address some of the most fundamental questions about the universe. However,…”
Get full text

A Case Study of Data Management Challenges Presented in Large-Scale Machine Learning Workflows by Lee, Claire Songhyun, Hewes, V, Cerati, Giuseppe, Kowalkowski, Jim, Aurisano, Adam, Agrawal, Ankit, Choudhary, Alok, Liao, Wei-Keng

“…Running scientific workflow applications on high-performance computing systems provides promising results in terms of accuracy and scalability. An example is…”
Get full text

Search for C P -Violating Neutrino Nonstandard Interactions with the NOvA Experiment by Acero, M. A., Acharya, B., Adamson, P., Aliaga, L., Anfimov, N., Antoshkin, A., Arrieta-Diaz, E., Asquith, L., Aurisano, A., Back, A., Balashov, N., Baldi, P., Bambah, B. A., Bat, A., Bays, K., Bernstein, R., Bezerra, T. J. C., Bhatnagar, V., Bhattarai, D., Bhuyan, B., Bian, J., Booth, A. C., Bowles, R., Brahma, B., Bromberg, C., Buchanan, N., Butkevich, A., Calvez, S., Carroll, T. J., Catano-Mur, E., Cesar, J. P., Chatla, A., Chaudhary, S., Chirco, R., Choudhary, B. C., Christensen, A., Cicala, M. F., Coan, T. E., Cooleybeck, A., Cortes-Parra, C., Coveyou, D., Cremonesi, L., Davies, G. S., Derwent, P. F., Djurcic, Z., Dolce, M., Doyle, D., Dueñas Tonguino, D., Dukes, E. C., Dye, A., Ehrlich, R., Ewart, E., Filip, P., Franc, J., Frank, M. J., Gallagher, H. R., Gao, F., Giri, A., Gomes, R. A., Goodman, M. C., Groh, M., Group, R., Habig, A., Hakl, F., Hartnell, J., Hatcher, R., He, M., Heller, K., Hewes, V, Himmel, A., Ivaneev, Y., Ivanova, A., Jargowsky, B., Jarosz, J., Johnson, C., Judah, M., Kakorin, I., Kaplan, D. M., Kalitkina, A., Kleykamp, J., Klimov, O., Koerner, L. W., Kolupaeva, L., Kralik, R., Kuruppu, C. D., Kus, V., Lackey, T., Lang, K., Lesmeister, J., Lister, A., Liu, J., Lock, J. A., Lokajicek, M., MacMahon, M., Magill, S., Mann, W. A., Manoharan, M. T., Manrique Plata, M., Marshak, M. L., Martinez-Casales, M.

“…This Letter reports a search for charge-parity ( C P ) symmetry violating nonstandard interactions (NSI) of neutrinos with matter using the NOvA Experiment,…”
Get full text

Improving School Breakfasts: Effects of the CATCH Eat Smart Program on the Nutrient Content of School Breakfasts by Dwyer, Johanna T., Hewes, Lynn V., Mitchell, Paul D., Nicklas, Theresa A., Montgomery, Deanna H., Lytle, Leslie A., Snyder, M.Patricia, Zive, Michelle M., Bachman, Kathryn J., Rice, Rochelle, Parcel, Guy S.

“…Background.This paper describes the impact of the Eat Smart School Nutrition Program, the food service component of the Child and Adolescent Trial for…”
Get full text

NuGraph2: A Graph Neural Network for Neutrino Physics Event Reconstruction by Hewes, V, Aurisano, Adam, Cerati, Giuseppe, Kowalkowski, Jim, Lee, Claire, Liao, Wei-keng, Grzenda, Daniel, Gumpula, Kaushal, Zhang, Xiaohe

“…Liquid Argon Time Projection Chamber (LArTPC) detector technology offers a wealth of high-resolution information on particle interactions, and leveraging that…”
Get full text

I Challenge the Profession by Hewes, Virginia P.

“…In this article a parent tells her story about her seventeen year encounter with deafness and with the professionals in deafness. She tells of her growing…”
Get full text

Reconstruction of Large Radius Tracks with the Exa.TrkX pipeline by Wang, Chun-Yi, Ju, Xiangyang, Hsu, Shih-Chieh, Murnane, Daniel, Calafiura, Paolo, Farrell, Steven, Spiropulu, Maria, Vlimant, Jean-Roch, Aurisano, Adam, Hewes, V, Cerati, Giuseppe, Gray, Lindsey, Klijnsma, Thomas, Kowalkowski, Jim, Atkinson, Markus, Neubauer, Mark, DeZoort, Gage, Thais, Savannah, Ballow, Alexandra, Lazar, Alina, Caillou, Sylvain, Rougier, Charline, Stark, Jan, Vallier, Alexis, Sardain, Jad

“…Particle tracking is a challenging pattern recognition task at the Large Hadron Collider (LHC) and the High Luminosity-LHC. Conventional algorithms, such as…”
Get full text

Accelerating the Inference of the Exa.TrkX Pipeline by Lazar, Alina, Ju, Xiangyang, Murnane, Daniel, Calafiura, Paolo, Farrell, Steven, Xu, Yaoyuan, Spiropulu, Maria, Vlimant, Jean-Roch, Cerati, Giuseppe, Gray, Lindsey, Klijnsma, Thomas, Kowalkowski, Jim, Atkinson, Markus, Neubauer, Mark, DeZoort, Gage, Thais, Savannah, Hsu, Shih-Chieh, Aurisano, Adam, Hewes, V, Ballow, Alexandra, Acharya, Nirajan, Wang, Chun-yi, Liu, Emma, Lucas, Alberto

“…Recently, graph neural networks (GNNs) have been successfully used for a variety of particle reconstruction problems in high energy physics, including particle…”
Get full text

Performance of a Geometric Deep Learning Pipeline for HL-LHC Particle Tracking by Ju, Xiangyang, Murnane, Daniel, Calafiura, Paolo, Choma, Nicholas, Conlon, Sean, Farrell, Steve, Xu, Yaoyuan, Spiropulu, Maria, Vlimant, Jean-Roch, Aurisano, Adam, Hewes, V, Cerati, Giuseppe, Gray, Lindsey, Klijnsma, Thomas, Kowalkowski, Jim, Atkinson, Markus, Neubauer, Mark, DeZoort, Gage, Thais, Savannah, Chauhan, Aditi, Schuy, Alex, Hsu, Shih-Chieh, Ballow, Alex, Lazar, and Alina

“…The Exa.TrkX project has applied geometric learning concepts such as metric learning and graph neural networks to HEP particle tracking. Exa.TrkX's tracking…”
Get full text

Track Seeding and Labelling with Embedded-space Graph Neural Networks by Choma, Nicholas, Murnane, Daniel, Ju, Xiangyang, Calafiura, Paolo, Conlon, Sean, Farrell, Steven, Prabhat, Cerati, Giuseppe, Gray, Lindsey, Klijnsma, Thomas, Kowalkowski, Jim, Spentzouris, Panagiotis, Vlimant, Jean-Roch, Spiropulu, Maria, Aurisano, Adam, Hewes, V, Tsaris, Aristeidis, Terao, Kazuhiro, Usher, Tracy

“…To address the unprecedented scale of HL-LHC data, the Exa.TrkX project is investigating a variety of machine learning approaches to particle track…”
Get full text

Tau Neutrinos in the Next Decade: from GeV to EeV by Abraham, Roshan Mammen, Alvarez-Muñiz, Jaime, Argüelles, Carlos A, Ariga, Akitaka, Ariga, Tomoko, Aurisano, Adam, Autiero, Dario, Bishai, Mary, Bostan, Nilay, Bustamante, Mauricio, Cummings, Austin, Decoene, Valentin, de Gouvêa, André, De Lellis, Giovanni, De Roeck, Albert, Denton, Peter B, Di Crescenzo, Antonia, Diwan, Milind V, Farzan, Yasaman, Fedynitch, Anatoli, Feng, Jonathan L, Fields, Laura J, Garcia, Alfonso, Garzelli, Maria Vittoria, Gehrlein, Julia, Glaser, Christian, Grzelak, Katarzyna, Hallmann, Steffen, Hewes, V, Indumathi, D, Ismail, Ahmed, Jana, Sudip, Jeong, Yu Seon, Kelly, Kevin J, Klein, Spencer R, Kling, Felix, Kosc, Thomas, Kose, Umut, Koskinen, D. Jason, Krizmanic, John, Lazar, Jeff, Li, Yichen, Martinez-Soler, Ivan, Mocioiu, Irina, Nam, Jiwoo, Niess, Valentin, Otte, Nepomuk, Patel, Sameer, Petti, Roberto, Prechelt, Remy L, Prohira, Steven, Rajaoalisoa, Miriama, Reno, Mary Hall, Safa, Ibrahim, Sarasty-Segura, Carlos, Senthil, R. Thiru, Stachurska, Juliana, Tomalak, Oleksandr, Trojanowski, Sebastian, Wendell, Roger Alexandre, Williams, Dawn, Wissel, Stephanie, Yaeggy, Barbara, Zas, Enrique, Zhelnin, Pavel, Zhu, Jing-yu

“…J. Phys. G: Nucl. Part. Phys. 49, 11 (2022) Tau neutrinos are the least studied particle in the Standard Model. This whitepaper discusses the current and…”
Get full text

Graph Neural Network for Object Reconstruction in Liquid Argon Time Projection Chambers by Hewes, V, Aurisano, Adam, Cerati, Giuseppe, Kowalkowski, Jim, Lee, Claire, Liao, Wei-keng, Day, Alexandra, Agrawal, Ankit, Spiropulu, Maria, Vlimant, Jean-Roch, Gray, Lindsey, Klijnsma, Thomas, Calafiura, Paolo, Conlon, Sean, Farrell, Steve, Ju, Xiangyang, Murnane, Daniel

“…This paper presents a graph neural network (GNN) technique for low-level reconstruction of neutrino interactions in a Liquid Argon Time Projection Chamber…”
Get full text

Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors by Ju, Xiangyang, Farrell, Steven, Calafiura, Paolo, Murnane, Daniel, Prabhat, Gray, Lindsey, Klijnsma, Thomas, Pedro, Kevin, Cerati, Giuseppe, Kowalkowski, Jim, Perdue, Gabriel, Spentzouris, Panagiotis, Tran, Nhan, Vlimant, Jean-Roch, Zlokapa, Alexander, Pata, Joosep, Spiropulu, Maria, An, Sitong, Aurisano, Adam, Hewes, V, Tsaris, Aristeidis, Terao, Kazuhiro, Usher, Tracy

“…Pattern recognition problems in high energy physics are notably different from traditional machine learning applications in computer vision. Reconstruction…”
Get full text

Experiment Simulation Configurations Used in DUNE CDR by Alion, T, Back, J. J, Bashyal, A, Bass, M, Bishai, M, Cherdack, D, Diwan, M, Djurcic, Z, Evans, J, Fernandez-Martinez, E, Fields, L, Fleming, B, Gran, R, Guenette, R, Hewes, V, Hogan, M, Hylen, J, Junk, T, Kohn, S, LeBrun, P, Lundberg, B, Marchionni, A, Morris, C, Papadimitriou, V, Rameika, R, Rucinski, R, Soldner-Rembold, S, Sorel, M, Urheim, J, Viren, B, Whitehead, L, Wilson, R, Worcester, E, Zeller, G

“…The LBNF/DUNE CDR describes the proposed physics program and experimental design at the conceptual design phase. Volume 2, entitled The Physics Program for…”
Get full text