Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Brett Viren"'
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 4, p 045021 (2024)
Deep learning algorithms often are developed and trained on a training dataset and deployed on test datasets. Any systematic difference between the training and a test dataset may severely degrade the final algorithm performance on the test dataset
Externí odkaz:
https://doaj.org/article/77e2a6dd5dd44b9eb6b43ef69e1aafad
The Liquid Argon Time Projection Chamber (LArTPC) technology is widely used in high energy physics experiments, including the upcoming Deep Underground Neutrino Experiment (DUNE). Accurately simulating LArTPC detector responses is essential for analy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31db837b5f230787410f73768329fd4a
http://arxiv.org/abs/2203.02479
http://arxiv.org/abs/2203.02479
Autor:
Pietro Antonioli, Richard Tresch Fienberg, Fabrice Fleurot, Yoshiyuki Fukuda, Walter Fulgione, Alec Habig, Jaret Heise, Arthur B McDonald, Corrinne Mills, Toshio Namba, Leif J Robinson, Kate Scholberg, Michael Schwendener, Roger W Sinnott, Blake Stacey, Yoichiro Suzuki, Réda Tafirout, Carlo Vigorito, Brett Viren, Clarence Virtue, Antonino Zichichi
This paper provides a technical description of the SuperNova Early Warning System (SNEWS), an international network of experiments with the goal of providing an early warning of a galactic supernova.
25 pages, for New Journal of Physics Focus Is
25 pages, for New Journal of Physics Focus Is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fd06640250d80ebc0b1c04518d11a16
http://hdl.handle.net/2318/155629
http://hdl.handle.net/2318/155629