Zobrazeno 1 - 10
of 1 130
pro vyhledávání: '"Smith Jamie"'
Autor:
Kochkov, Dmitrii, Yuval, Janni, Langmore, Ian, Norgaard, Peter, Smith, Jamie, Mooers, Griffin, Klöwer, Milan, Lottes, James, Rasp, Stephan, Düben, Peter, Hatfield, Sam, Battaglia, Peter, Sanchez-Gonzalez, Alvaro, Willson, Matthew, Brenner, Michael P., Hoyer, Stephan
General circulation models (GCMs) are the foundation of weather and climate prediction. GCMs are physics-based simulators which combine a numerical solver for large-scale dynamics with tuned representations for small-scale processes such as cloud for
Externí odkaz:
http://arxiv.org/abs/2311.07222
Autor:
Hutchinson-Smith, Tenley, Everson, Rosa Wallace, Batta, Aldo, Yarza, Ricardo, Twum, Angela A., Law-Smith, Jamie A. P., Ramirez-Ruiz, Enrico
We present a start-to-end simulation aimed at studying the long-term fate of high mass X-ray binaries and whether a Thorne-\.Zytkow object (T\.ZO) might ultimately be produced. We analyze results from a 3D hydrodynamical simulation that models the ev
Externí odkaz:
http://arxiv.org/abs/2311.06741
The conditions required for massive star formation are debated, particularly whether massive stars must form in conjunction with massive clusters. Some authors have advanced the view that stars of any mass (below the total cluster mass) can form in c
Externí odkaz:
http://arxiv.org/abs/2309.05635
In the dark dimension scenario, which predicts an extra dimension of micron scale, dark gravitons (KK modes) are a natural dark matter candidate. In this paper, we study observable features of this model. In particular, their decay to standard matter
Externí odkaz:
http://arxiv.org/abs/2307.11048
Autor:
Dodd, Sierra A., Nukala, Arya, Connor, Isabelle, Auchettl, Katie, French, K. D., Law-Smith, Jamie A. P., Hammerstein, Erica, Ramirez-Ruiz, Enrico
Publikováno v:
Volume 959, Issue 2, id.L19, 12 pp, 2023
We study the properties of galaxies hosting mid-infrared outbursts in the context of a catalog of five hundred thousand galaxies from the Sloan Digital Sky Survey. We find that nuclear obscuration, as inferred by the surrounding dust mass, does not c
Externí odkaz:
http://arxiv.org/abs/2307.05670
Autor:
Feng, Berthy T., Smith, Jamie, Rubinstein, Michael, Chang, Huiwen, Bouman, Katherine L., Freeman, William T.
Priors are essential for reconstructing images from noisy and/or incomplete measurements. The choice of the prior determines both the quality and uncertainty of recovered images. We propose turning score-based diffusion models into principled image p
Externí odkaz:
http://arxiv.org/abs/2304.11751