Zobrazeno 1 - 10
of 19 249
pro vyhledávání: '"Gagné A"'
Autor:
Schreck, John, Sha, Yingkai, Chapman, William, Kimpara, Dhamma, Berner, Judith, McGinnis, Seth, Kazadi, Arnold, Sobhani, Negin, Kirk, Ben, Gagne II, David John
Recent advancements in artificial intelligence (AI) for numerical weather prediction (NWP) have significantly transformed atmospheric modeling. AI NWP models outperform traditional physics-based systems, such as the Integrated Forecast System (IFS),
Externí odkaz:
http://arxiv.org/abs/2411.07814
Autor:
Burgasser, Adam J., Schneider, Adam C., Meisner, Aaron M., Caselden, Dan, Hsu, Chih-Chun, Gerasimov, Roman, Aganze, Christian, Softich, Emma, Karpoor, Preethi, Theissen, Christopher A., Brooks, Hunter, Bickle, Thomas P., Gagné, Jonathan, Artigau, Étienne, Marsset, Michaël, Rothermich, Austin, Faherty, Jacqueline K., Kirkpatrick, J. Davy, Kuchner, Marc J., Andersen, Nikolaj Stevnbak, Beaulieu, Paul, Colin, Guillaume, Gantier, Jean Marc, Gramaize, Leopold, Hamlet, Les, Hinckley, Ken, Kabatnik, Martin, Kiwy, Frank, Martin, David W., Massat, Diego H., Pendrill, William, Sainio, Arttu, Schümann, Jörg, Thévenot, Melina, Walla, Jim, Wędracki, Zbigniew, Worlds, the Backyard, Collaboration, Planet 9
We report the results of a spectroscopic survey of candidate T subdwarfs identified by the Backyard Worlds: Planet 9 program. Near-infrared spectra of 31 sources with red $J-W2$ colors and large $J$-band reduced proper motions show varying signatures
Externí odkaz:
http://arxiv.org/abs/2411.01378
Autor:
Brooks, Hunter, Caselden, Dan, Kirkpatrick, J. Davy, Raghu, Yadukrishna, Elachi, Charles, Grigorian, Jake, Trek, Asa, Washburn, Andrew, Higashimura, Hiro, Meisner, Aaron, Schneider, Adam, Faherty, Jacqueline, Marocco, Federico, Gelino, Christopher, Gagné, Jonathan, Bickle, Thomas, Tang, Shih-yun, Rothermich, Austin, Burgasser, Adam, Kuchner, Marc J., Beaulieu, Paul, Bell, John, Colin, Guillaume, Colombo, Giovanni, Dereveanco, Alexandru, Flores, Deiby, Glebov, Konstantin, Gramaize, Leopold, Hamlet, Les, Hinckley, Ken, Kabatnik, Martin, Kiwy, Frank, Martin, David, Palma, Raul, Pendrill, William, Ruiz, Lizzeth, Sanchez, John, Sainio, Arttu, SchÜmann, JÖrg, Schonau, Manfred, Tanner, Christopher, Andersen, Nikolaj Stevnbak, Stenner, Andrés, Thévenot, Melina, Thakur, Vinod, Voloshin, Nikita, Wedracki, Zbigniew
We present the discovery of 118 new ultracool dwarf candidates, discovered using a new machine learning tool, named \texttt{SMDET}, applied to time series images from the Wide-field Infrared Survey Explorer. We gathered photometric and astrometric da
Externí odkaz:
http://arxiv.org/abs/2408.14447
Autor:
Baig, Sayan, Smart, R. L., Jones, Hugh R. A., Gagné, Jonathan, Pinfield, D. J., Cheng, Gemma, Moranta, Leslie
We present the Ultracool Dwarf Companion Catalogue of 278 multiple systems, 32 of which are newly discovered, each with at least one spectroscopically confirmed Ultracool Dwarf, within a 100 pc volume-limited sample. This catalogue is compiled using
Externí odkaz:
http://arxiv.org/abs/2408.07024
Autor:
Frost, William, Albert, Loïc, Doyon, René, Gagné, Jonathan, Montet, Benjamin T., Fontanive, Clémence, Artigau, Étienne, Johnson, John Asher, Edwards, Billy, Benneke, Björn
The LHS 6343 system consists of a resolved M-dwarf binary with an evolved, negligibly irradiated brown dwarf, LHS 6343 C, orbiting the primary star. Such brown dwarf eclipsing binaries present rare and unique opportunities to calibrate sub-stellar ev
Externí odkaz:
http://arxiv.org/abs/2408.05173
An ensemble post-processing method is developed to improve the probabilistic forecasts of extreme precipitation events across the conterminous United States (CONUS). The method combines a 3-D Vision Transformer (ViT) for bias correction with a Latent
Externí odkaz:
http://arxiv.org/abs/2407.04882
Autor:
Nokabadi, Fatemeh Nourilenjan, Pequignot, Yann Batiste, Lalonde, Jean-Francois, Gagné, Christian
Object trackers with transformer backbones have achieved robust performance on visual object tracking datasets. However, the adversarial robustness of these trackers has not been well studied in the literature. Due to the backbone differences, the ad
Externí odkaz:
http://arxiv.org/abs/2407.03946
Despite extensive research on adversarial training strategies to improve robustness, the decisions of even the most robust deep learning models can still be quite sensitive to imperceptible perturbations, creating serious risks when deploying them fo
Externí odkaz:
http://arxiv.org/abs/2406.18451
NIRPS first light and early science: breaking the 1 m/s RV precision barrier at infrared wavelengths
Autor:
Artigau, Étienne, Bouchy, François, Doyon, René, Baron, Frédérique, Malo, Lison, Wildi, François, Pepe, Franceso, Cook, Neil J., Thibault, Simon, Reshetov, Vladimir, Dumusque, Xavier, Lovis, Christophe, Sosnowska, Danuta, Martins, Bruno L. Canto, De Medeiros, Jose Renan, Delfosse, Xavier, Santos, Nuno, Rebolo, Rafael, Abreu, Manuel, Allain, Guillaume, Allart, Romain, Auger, Hugues, Barros, Susana, Bazinet, Luc, Blind, Nicolas, Boisse, Isabelle, Bonfils, Xavier, Bourrier, Vincent, Bovay, Sébastien, Broeg, Christopher, Brousseau, Denis, Bruniquel, Vincent, Cabral, Alexandre, Cadieux, Charles, Carmona, Andres, Carteret, Yann, Challita, Zalpha, Chazelas, Bruno, Cloutier, Ryan, Coelho, João, Cointepas, Marion, Conod, Uriel, Cowan, Nicolas, Cristo, Eduardo, da Silva, João Gomes, Dauplaise, Laurie, Gomes, Roseane de Lima, Delgado-Mena, Elisa, Ehrenreich, David, Faria, João, Figueira, Pedro, Forveille, Thierry, Frensch, Yolanda, Gagné, Jonathan, Genest, Frédéric, Genolet, Ludovic, Hernández, Jonay I. González, Témich, Félix Gracia, Grieves, Nolan, Hernandez, Olivier, Hobson, Melissa J., Hoeijmakers, Jens, Kerley, Dan, Krishnamurthy, Vigneshwaran, Lafrenière, David, Lamontagne, Pierrot, Larue, Pierre, Leaf, Henry, Leão, Izan C., Lim, Olivia, Curto, Gaspare Lo, Martins, Allan M., Melo, Claudio, Messias, Yuri S., Mignon, Lucile, Moranta, Leslie, Mordasini, Christoph, Moulla, Khaled Al, Mounzer, Dany, L'Heureux, Alexandrine, Nari, Nicola, Nielsen, Louise, Osborn, Ares, Parc, Léna, Pasquini, Luca, Passegger, Vera M., Pelletier, Stefan, Peroux, Céline, Piaulet, Caroline, Plotnykov, Mykhaylo, Poulin-Girard, Anne-Sophie, Rasilla, José Luis, Saint-Antoine, Jonathan, Sarajlic, Mirsad, Segovia, Alex, Seidel, Julia, Ségransan, Damien, Silva, Ana Rita Costa, Srivastava, Avidaan, Stefanov, Atanas K., Mascareño, Alejandro Suárez, Sordet, Michael, Teixeira, Márcio A., Udry, Stéphane, Valencia, Diana, Vallée, Philippe, Vandal, Thomas, Vaulato, Valentina, Wade, Gregg, Wardenier, Joost P., Wehbé, Bachar, Weisserman, Drew, Wevers, Ivan, Zins, Gérard
The Near-InfraRed Planet Searcher or NIRPS is a precision radial velocity spectrograph developed through collaborative efforts among laboratories in Switzerland, Canada, Brazil, France, Portugal and Spain. NIRPS extends to the 0.98-1.8 $\mu$m domain
Externí odkaz:
http://arxiv.org/abs/2406.08304
New transformer networks have been integrated into object tracking pipelines and have demonstrated strong performance on the latest benchmarks. This paper focuses on understanding how transformer trackers behave under adversarial attacks and how diff
Externí odkaz:
http://arxiv.org/abs/2406.01765