Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Keno Fischer"'
Publikováno v:
2022 IEEE International Symposium on Phased Array Systems & Technology (PAST).
Autor:
Prabhat, Ryan Giordano, David J. Schlegel, Keno Fischer, Jon McAuliffe, Kiran Pamnany, Jeffrey Regier, Andreas Noack, Maximilian Lam, R. C. Thomas, Steve Howard, Jarrett Revels
Publikováno v:
Journal of Parallel and Distributed Computing. 127:89-104
A key task in astronomy is to locate astronomical objects in images and to characterize them according to physical parameters such as brightness, color, and morphology. This task, known as cataloging, is challenging for several reasons: many astronom
Publikováno v:
Reviews in Environmental Science and Biotechnology
Power-to-methane technology is a promising solution to facilitate the use of excess variable renewable energy for biomethane production. In this approach, hydrogen produced via electrolysis is used to upgrade raw biogas, which can be subsequently use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::664333bf17db05a4999a26f11e392d31
https://hdl.handle.net/11250/2984627
https://hdl.handle.net/11250/2984627
Autor:
Valentin Churavy, David A. Barajas-Solano, Michael J. Houston, George Em Karniadakis, Sean J. Treichler, Alexandre M. Tartakovsky, Keno Fischer, Prabhat, Liu Yang, Thorsten Kurth, Josh Romero
Publikováno v:
DLS@SC
Uncertainty quantification for forward and inverse problems is a central challenge across physical and biomedical disciplines. We address this challenge for the problem of modeling subsurface flow at the Hanford Site by combining stochastic computati
Autor:
David J. Schlegel, Steve Howard, Jarrett Revels, Prabhat, Maximilian Lam, Kiran Pamnany, R. C. Thomas, Andreas Noack, Ryan Giordano, Jeffrey Regier, Keno Fischer, Jon McAuliffe
Publikováno v:
IPDPS
Astronomical catalogs derived from wide-field imaging surveys are an important tool for understanding the Universe. We construct an astronomical catalog from 55 TB of imaging data using Celeste, a Bayesian variational inference code written entirely
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1c9cded7ea02730744194dcccb47862
http://arxiv.org/abs/1801.10277
http://arxiv.org/abs/1801.10277