Zobrazeno 1 - 10
of 23 211
pro vyhledávání: '"Tak, P. P."'
Autor:
Cesario, Lorenzo, Lichtenberg, Tim, Alei, Eleonora, Carrión-González, Óscar, Dannert, Felix A., Defrère, Denis, Ertel, Steve, Fortier, Andrea, Muñoz, A. García, Glauser, Adrian M., Hansen, Jonah T., Helled, Ravit, Huber, Philipp A., Ireland, Michael J., Kammerer, Jens, Laugier, Romain, Lillo-Box, Jorge, Menti, Franziska, Meyer, Michael R., Noack, Lena, Quanz, Sascha P., Quirrenbach, Andreas, Rugheimer, Sarah, van der Tak, Floris, Wang, Haiyang S., Anger, Marius, Balsalobre-Ruza, Olga, Bhattarai, Surendra, Braam, Marrick, Castro-González, Amadeo, Cockell, Charles S., Constantinou, Tereza, Cugno, Gabriele, Davoult, Jeanne, Güdel, Manuel, Hernitschek, Nina, Hinkley, Sasha, Itoh, Satoshi, Janson, Markus, Johansen, Anders, Jones, Hugh R. A., Kane, Stephen R., van Kempen, Tim A., Kislyakova, Kristina G., Korth, Judith, Kovacevic, Andjelka B., Kraus, Stefan, Kuiper, Rolf, Mathew, Joice, Matsuo, Taro, Miguel, Yamila, Min, Michiel, Navarro, Ramon, Ramirez, Ramses M., Rauer, Heike, Ricketti, Berke Vow, Romagnolo, Amedeo, Schlecker, Martin, Sneed, Evan L., Squicciarini, Vito, Stassun, Keivan G., Tamura, Motohide, Viudez-Moreiras, Daniel, Wordsworth, Robin D., Collaboration, the LIFE
The increased brightness temperature of young rocky protoplanets during their magma ocean epoch makes them potentially amenable to atmospheric characterization to distances from the solar system far greater than thermally equilibrated terrestrial exo
Externí odkaz:
http://arxiv.org/abs/2410.13457
The control of quantum systems has been proven to possess trap-free optimization landscapes under the satisfaction of proper assumptions. However, many details of the landscape geometry and their influence on search efficiency still need to be fully
Externí odkaz:
http://arxiv.org/abs/2409.15139
Autor:
Axelsson, M., Ajello, M., Arimoto, M., Baldini, L., Ballet, J., Baring, M. G., Bartolini, C., Bastieri, D., Gonzalez, J. Becerra, Bellazzini, R., Berenji, B., Bissaldi, E., Blandford, R. D., Bonino, R., Bruel, P., Buson, S., Cameron, R. A., Caputo, R., Caraveo, P. A., Cavazzuti, E., Cheung, C. C., Chiaro, G., Cibrario, N., Ciprini, S., Cozzolongo, G., Orestano, P. Cristarella, Crnogorcevic, M., Cuoco, A., Cutini, S., D'Ammando, F., De Gaetano, S., Di Lalla, N., Dinesh, A., Di Tria, R., Di Venere, L., Domínguez, A., Fegan, S. J., Ferrara, E. C., Fiori, A., Franckowiak, A., Fukazawa, Y., Funk, S., Fusco, P., Galanti, G., Gargano, F., Gasbarra, C., Germani, S., Giacchino, F., Giglietto, N., Giliberti, M., Gill, R., Giordano, F., Giroletti, M., Granot, J., Green, D., Grenier, I. A., Guiriec, S., Gustafsson, M., Hashizume, M., Hays, E., Hewitt, J. W., Horan, D., Kayanoki, T., Kuss, M., Laviron, A., Li, J., Liodakis, I., Longo, F., Loparco, F., Lorusso, L., Lott, B., Lovellette, M. N., Lubrano, P., Maldera, S., Malyshev, D., Manfreda, A., Martí-Devesa, G., Martinelli, R., Castellanos, I. Martinez, Mazziotta, M. N., McEnery, J. E., Mereu, I., Meyer, M., Michelson, P. F., Mirabal, N., Mitthumsiri, W., Mizuno, T., Monti-Guarnieri, P., Monzani, M. E., Morishita, T., Morselli, A., Moskalenko, I. V., Negro, M., Niwa, R., Omodei, N., Orienti, M., Orlando, E., Paneque, D., Panzarini, G., Persic, M., Pesce-Rollins, M., Petrosian, V., Pillera, R., Piron, F., Porter, T. A., Principe, G., Racusin, J. L., Rainò, S., Rando, R., Rani, B., Razzano, M., Razzaque, S., Reimer, A., Reimer, O., Ryde, F., Sánchez-Conde, M., Parkinson, P. M. Saz, Serini, D., Sgrò, C., Sharma, V., Siskind, E. J., Spandre, G., Spinelli, P., Suson, D. J., Tajima, H., Tak, D., Thayer, J. B., Torres, D. F., Valverde, J., Zaharijas, G., Lesage, S., Briggs, M. S., Burns, E., Bala, S., Bhat, P. N., Cleveland, W. H., Dalessi, S., de Barra, C., Gibby, M., Giles, M. M., Hamburg, R., Hristov, B. A., Hui, C. M., Kocevski, D., Mailyan, B., Malacaria, C., McBreen, S., Poolakkil, S., Roberts, O. J., Scotton, L., Veres, P., von Kienlin, A., Wilson-Hodge, C. A., Wood, J.
We present a complete analysis of Fermi Large Area Telescope (LAT) data of GRB 221009A, the brightest Gamma-Ray Burst (GRB) ever detected. The burst emission above 30 MeV detected by the LAT preceded by 1 s the low-energy (< 10 MeV) pulse that trigge
Externí odkaz:
http://arxiv.org/abs/2409.04580
Autor:
Tak, Hyungsuk, Chen, Yang, Kashyap, Vinay L., Mandel, Kaisey S., Meng, Xiao-Li, Siemiginowska, Aneta, van Dyk, David A.
The production of complex astronomical data is accelerating, especially with newer telescopes producing ever more large-scale surveys. The increased quantity, complexity, and variety of astronomical data demand a parallel increase in skill and sophis
Externí odkaz:
http://arxiv.org/abs/2408.16179
Autor:
Wang, Xin, Delgado, Hector, Tak, Hemlata, Jung, Jee-weon, Shim, Hye-jin, Todisco, Massimiliano, Kukanov, Ivan, Liu, Xuechen, Sahidullah, Md, Kinnunen, Tomi, Evans, Nicholas, Lee, Kong Aik, Yamagishi, Junichi
ASVspoof 5 is the fifth edition in a series of challenges that promote the study of speech spoofing and deepfake attacks, and the design of detection solutions. Compared to previous challenges, the ASVspoof 5 database is built from crowdsourced data
Externí odkaz:
http://arxiv.org/abs/2408.08739
Autor:
Wells, M. R. A., Beuther, H., Molinari, S., Schilke, P., Battersby, C., Ho, P., Sánchez-Monge, Á., Jones, B., Scheuck, M. B., Syed, J., Gieser, C., Kuiper, R., Elia, D., Coletta, A., Traficante, A., Wallace, J., Rigby, A. J., Klessen, R. S., Zhang, Q., Walch, S., Beltrán, M. T., Tang, Y., Fuller, G. A., Lis, D. C., Möller, T., van der Tak, F., Klaassen, P. D., Clarke, S. D., Moscadelli, L., Mininni, C., Zinnecker, H., Maruccia, Y., Pezzuto, S., Benedettini, M., Soler, J. D., Brogan, C. L., Avison, A., Sanhueza, P., Schisano, E., Liu, T., Fontani, F., Rygl, K. L. J., Wyrowski, F., Bally, J., Walker, D. L., Ahmadi, A., Koch, P., Merello, M., Law, C. Y., Testi, L.
Publikováno v:
A&A 690, A185 (2024)
We use data from the ALMA Evolutionary Study of High Mass Protocluster Formation in the Galaxy (ALMAGAL) survey to study 100 ALMAGAL regions at $\sim$ 1 arsecond resolution located between $\sim$ 2 and 6 kpc distance. Using ALMAGAL $\sim$ 1.3mm line
Externí odkaz:
http://arxiv.org/abs/2408.08299
Autor:
Tak, Ala N., Gratch, Jonathan
This paper extends recent investigations on the emotional reasoning abilities of Large Language Models (LLMs). Current research on LLMs has not directly evaluated the distinction between how LLMs predict the self-attribution of emotions and the perce
Externí odkaz:
http://arxiv.org/abs/2408.13718
Embodied Instruction Following (EIF) is a task of planning a long sequence of sub-goals given high-level natural language instructions, such as "Rinse a slice of lettuce and place on the white table next to the fork". To successfully execute these lo
Externí odkaz:
http://arxiv.org/abs/2407.16533
Autor:
Acharyya, A., Adams, C. B., Bangale, P., Bartkoske, J. T., Batista, P., Benbow, W., Christiansen, J. L., Chromey, A. J., Duerr, A., Errando, M., Falcone, A., Feng, Q., Foote, G. M., Fortson, L., Furniss, A., Hanlon, W., Hanna, D., Hervet, O., Hinrichs, C. E., Holder, J., Humensky, T. B., Jin, W., Johnson, M. N., Kaaret, P., Kertzman, M., Kieda, D., Kleiner, T. K., Korzoun, N., Kumar, S., Lang, M. J., Lundy, M., Maier, G., McGrath, Conor E., Millard, M. J., Mooney, C. L., Moriarty, P., Mukherjee, R., Ning, W., O'Brien, S., Ong, R. A., Park, N., Pohl, M., Pueschel, E., Quinn, J., Rabinowitz, P. L., Ragan, K., Reynolds, P. T., Ribeiro, D., Roache, E., Ryan, J. L., Sadeh, I., Saha, L., Sembroski, G. H., Shang, R., Splettstoesser, M., Tak, Donggeun, Talluri, A. K., Tucci, J. V., Vassiliev, V. V., Weinstein, A., Williams, D. A., Wong, S. L.
Understanding the nature and identity of dark matter is a key goal in the physics community. In the case that TeV-scale dark matter particles decay or annihilate into standard model particles, very-high-energy (VHE) gamma rays (greater than 100 GeV)
Externí odkaz:
http://arxiv.org/abs/2407.16518
Domain generalization aim to train models to effectively perform on samples that are unseen and outside of the distribution. Adversarial data augmentation (ADA) is a widely used technique in domain generalization. It enhances the model robustness by
Externí odkaz:
http://arxiv.org/abs/2407.15174