Zobrazeno 1 - 10
of 22 352
pro vyhledávání: '"Tarr, A."'
Autor:
Yang, Kai E., Tarr, Lucas A., Rempel, Matthias, Dodds, S. Curt, Jaeggli, Sarah A., Sadowski, Peter, Schad, Thomas A., Cunnyngham, Ian, Liu, Jiayi, Glaser, Yannik, Sun, Xudong
The National Science Foundation's Daniel K. Inouye Solar Telescope (DKIST) will provide high-resolution, multi-line spectropolarimetric observations that are poised to revolutionize our understanding of the Sun. Given the massive data volume, novel i
Externí odkaz:
http://arxiv.org/abs/2407.20309
Autor:
Villani, E. Giulio, Zhang, Dengfeng, Malik, Adnan, Vickey, Trevor, Chen, Yebo, Kurth, Matthew G., Liu, Peilian, Zhu, Hongbo, Koffas, Thomas, Klein, Christoph Thomas, Vandusen, Robert, Aiton, Rodney, Mccormick, Angela, Tarr, Garry
Strip and pixels sensors, fabricated on high resistivity silicon substrate, normally of p-type, are used in detectors for High Energy Physics (HEP) typically in a hybrid detector assembly. Furthermore, and owing to their inherent advantages over hybr
Externí odkaz:
http://arxiv.org/abs/2407.13705
Autor:
Sarch, Gabriel, Jang, Lawrence, Tarr, Michael J., Cohen, William W., Marino, Kenneth, Fragkiadaki, Katerina
Large-scale generative language and vision-language models (LLMs and VLMs) excel in few-shot in-context learning for decision making and instruction following. However, they require high-quality exemplar demonstrations to be included in their context
Externí odkaz:
http://arxiv.org/abs/2406.14596
Autor:
Zawar, Rushikesh, Dewan, Shaurya, Luo, Andrew F., Henderson, Margaret M., Tarr, Michael J., Wehbe, Leila
Understanding the semantics of visual scenes is a fundamental challenge in Computer Vision. A key aspect of this challenge is that objects sharing similar semantic meanings or functions can exhibit striking visual differences, making accurate identif
Externí odkaz:
http://arxiv.org/abs/2406.13735
Autor:
Yeung, Jacob, Luo, Andrew F., Sarch, Gabriel, Henderson, Margaret M., Ramanan, Deva, Tarr, Michael J.
Humans experience the world through constantly changing visual stimuli, where scenes can shift and move, change in appearance, and vary in distance. The dynamic nature of visual perception is a fundamental aspect of our daily lives, yet the large maj
Externí odkaz:
http://arxiv.org/abs/2406.02659
Recent research on instructable agents has used memory-augmented Large Language Models (LLMs) as task planners, a technique that retrieves language-program examples relevant to the input instruction and uses them as in-context examples in the LLM pro
Externí odkaz:
http://arxiv.org/abs/2404.19065
Autor:
Eisner, Nora L., Grunblatt, Samuel K., Barragán, Oscar, Faridani, Thea H., Lintott, Chris, Aigrain, Suzanne, Johnston, Cole, Mason, Ian R., Stassun, Keivan G., Bedell, Megan, Boyle, Andrew W., Ciardi, David R., Clark, Catherine A., Hebrard, Guillaume, Hogg, David W., Howell, Steve B., Klein, Baptiste, Llama, Joe, Winn, Joshua N., Zhao, Lily L., Murphy, Joseph M. Akana, Beard, Corey, Brinkman, Casey L., Chontos, Ashley, Cortes-Zuleta, Pia, Delfosse, Xavier, Giacalone, Steven, Gilbert, Emily A., Heidari, Neda, Holcomb, Rae, Jenkins, Jon M., Kiefer, Flavien, Lubin, Jack, Martioli, Eder, Polanski, Alex S., Saunders, Nicholas, Seager, Sara, Shporer, Avi, Tyler, Dakotah, Van Zandt, Judah, Alhassan, Safaa, Amratlal, Daval J., Antonel, Lais I., Bentzen, Simon L. S., Bosch, Milton K. D., Bundy, David, Chitsiga, Itayi, Delaunay, Jérôme F., Doisy, Xavier, Ferstenou, Richard, Fynø, Mark, Geary, James M., Haynaly, Gerry, Hermes, Pete, Huten, Marc, Lee, Sam, Metcalfe, Paul, Pennell, Garry J., Puszkarska, Joanna, Schäfer, Thomas, Stiller, Lisa, Tanner, Christopher, Tarr, Allan, Wilkinson, Andrew
Publikováno v:
Published in AJ, 2024
We report on the discovery and validation of a transiting long-period mini-Neptune orbiting a bright (V = 9.0 mag) G dwarf (TOI 4633; R = 1.05 RSun, M = 1.10 MSun). The planet was identified in data from the Transiting Exoplanet Survey Satellite by c
Externí odkaz:
http://arxiv.org/abs/2404.18997
In this paper we introduce a new method for exact decomposition of propagating, nonlinear magnetohydrodynamic (MHD) disturbances into their component eigenenergies associated with the familiar slow, Alfv\'en, and fast wave eigenmodes, and the entropy
Externí odkaz:
http://arxiv.org/abs/2402.05327
Do machines and humans process language in similar ways? Recent research has hinted in the affirmative, finding that brain signals can be effectively predicted using the internal representations of language models (LMs). Although such results are tho
Externí odkaz:
http://arxiv.org/abs/2311.09308
We develop a general description of how information propagates through a magnetohydrodynamic (MHD) system based on the method of characteristics and use that to formulate numerical boundary conditions (BCs) that are intrinsically consistent with the
Externí odkaz:
http://arxiv.org/abs/2311.02281