Zobrazeno 101 - 110
of 857 737
pro vyhledávání: '"Gordon, A"'
Autor:
Vantyghem, A. N., Galvin, T. J., Sebastian, B., O'Dea, C. P., Gordon, Y. A., Boyce, M., Rudnick, L., Polsterer, K., Andernach, Heinz, Dionyssiou, M., Venkataraman, P., Norris, R., Baum, S. A., Wang, X. R., Huynh, M.
Modern wide field radio surveys typically detect millions of objects. Techniques based on machine learning are proving to be useful for classifying large numbers of objects. The self-organizing map (SOM) is an unsupervised machine learning algorithm
Externí odkaz:
http://arxiv.org/abs/2404.10109
Autor:
Berg, Trystyn A. M., Hayes, Christian R., Cristiani, Stefano, McConnachie, Alan, Robertson, J. Gordon, Sestito, Federico, Simpson, Chris, Waller, Fletcher, Chin, Timothy, Densmore, Adam, Diaz, Ruben J., Edgar, Michael L., Lettura, Javier Fuentes, Gómez-Jiménez, Manuel, Kalari, Venu M., Lawrence, Jon, Margheim, Steven, Pazder, John, Ruiz-Carmona, Roque, Salinas, Ricardo, Silva, Karleyne M. G., Silversides, Katherine, Venn, Kim A.
The Gemini High-resolution Optical SpecTrograph (GHOST) is a new echelle spectrograph available on the Gemini-South telescope as of Semester 2024A. We present the first high resolution spectrum of the quasar J1449-1227 (redshift z_em=3.27) using data
Externí odkaz:
http://arxiv.org/abs/2404.10058
Autor:
Martinez, Michael N., Gordon, Yjan A., Bechtol, Keith, Cartwright, Gillian, Ferguson, Peter S., Gorsuch, Miranda
Radio observations of strongly lensed objects are valuable as cosmological probes. Lensed radio sources have proven difficult to identify in large part due to the limited depth and angular resolution of the previous generation of radio sky surveys, a
Externí odkaz:
http://arxiv.org/abs/2404.09954
Everyone learns to code nowadays. Writing code, however, does not go without testing, which unfortunately rarely seems to be taught explicitly. Testing is often not deemed important enough or is just not perceived as sufficiently exciting. Testing ca
Externí odkaz:
http://arxiv.org/abs/2404.09246
Mutation testing consists of evaluating how effective test suites are at detecting artificially seeded defects in the source code, and guiding the improvement of the test suites. Although mutation testing tools are increasingly adopted in practice, e
Externí odkaz:
http://arxiv.org/abs/2404.09241
We develop a static quantum embedding scheme, utilizing projection equations to solve coupled cluster (CC) amplitudes. To reduce the computational cost (for example, of a large basis set calculation), we solve the local fragment problem using a high-
Externí odkaz:
http://arxiv.org/abs/2404.09078
Video tutorials are a popular medium for informal and formal learning. However, when learners attempt to view and follow along with these tutorials, they encounter what we call gaps, that is, issues that can prevent learning. We examine the gaps enco
Externí odkaz:
http://arxiv.org/abs/2404.07114
Autor:
Malik, Anagh, Juravsky, Noah, Po, Ryan, Wetzstein, Gordon, Kutulakos, Kiriakos N., Lindell, David B.
We present an imaging and neural rendering technique that seeks to synthesize videos of light propagating through a scene from novel, moving camera viewpoints. Our approach relies on a new ultrafast imaging setup to capture a first-of-its kind, multi
Externí odkaz:
http://arxiv.org/abs/2404.06493
Tidal features are a key observable prediction of the hierarchical model of galaxy formation and contain a wealth of information about the properties and history of a galaxy. Modern wide-field surveys such as LSST and Euclid will revolutionise the st
Externí odkaz:
http://arxiv.org/abs/2404.06487
Autor:
Zheng, Yang, Zhao, Qingqing, Yang, Guandao, Yifan, Wang, Xiang, Donglai, Dubost, Florian, Lagun, Dmitry, Beeler, Thabo, Tombari, Federico, Guibas, Leonidas, Wetzstein, Gordon
Modeling and rendering photorealistic avatars is of crucial importance in many applications. Existing methods that build a 3D avatar from visual observations, however, struggle to reconstruct clothed humans. We introduce PhysAvatar, a novel framework
Externí odkaz:
http://arxiv.org/abs/2404.04421