Zobrazeno 1 - 10
of 25 526
pro vyhledávání: '"P A Giles"'
Autor:
Hue, Vincent, Cavalié, Thibault, Sinclair, James A., Zhang, Xi, Benmahi, Bilal, Rodríguez-Ovalle, Pablo, Giles, Rohini S., Stallard, Tom S., Johnson, Rosie E., Dobrijevic, Michel, Fouchet, Thierry, Greathouse, Thomas K., Grodent, Denis C., Hueso, Ricardo, Mousis, Olivier, Nixon, Conor A.
Observations of the Jovian upper atmosphere at high latitudes in the UV, IR and mm/sub-mm all indicate that the chemical distributions and thermal structure are broadly influenced by auroral particle precipitations. Mid-IR and UV observations have sh
Externí odkaz:
http://arxiv.org/abs/2410.20413
Autor:
Turner, David J., Pilling, Jessica E., Donahue, Megan, Giles, Paul A., Romer, Kathy, Gupta, Agrim, Wallage, Toby, Wang, Ray
We introduce a new, open-source, Python module for the acquisition and processing of archival data from many X-ray telescopes - Democratising Archival X-ray Astronomy (hereafter referred to as DAXA). Our software is built to increase access to, and u
Externí odkaz:
http://arxiv.org/abs/2410.11954
Autor:
Zhang, Yusong, Dong, Dong, Hung, Chi-tim, Heyerdahl, Leonard, Giles-Vernick, Tamara, Yeoh, Eng-kiong
Large Language Models (LLMs) have demonstrated remarkable capabilities in language understanding and generation. Advanced utilization of the knowledge embedded in LLMs for automated annotation has consistently been explored. This study proposed to de
Externí odkaz:
http://arxiv.org/abs/2410.11526
Autor:
Chen, Youzhe, Giles-Donovan, Nathan, Guo, Jiayu, Chen, Ruihan, Fukui, Hiroshi, Manjo, Taishun, Ishikawa, Daisuke, Baron, Alfred Q. R., Song, Yu, Birgeneau, Robert J
A quantum critical point (QCP) represents a continuous phase transition at absolute zero. At the QCP of an unconventional superconductor, enhanced superconducting transition temperature and magnetic fluctuations strength are often observed together,
Externí odkaz:
http://arxiv.org/abs/2410.03956
Autor:
Chen, Lebing, Ye, Gaihua, Nnokwe, Cynthia, Pan, Xing-Chen, Tanigaki, Katsumi, Cheng, Guanghui, Chen, Yong P., Yan, Jiaqiang, Mandrus, David G., Allcca, Andres E. Llacsahuanga, Giles-Donovan, Nathan, Birgeneau, Robert J., He, Rui
Optical phonon engineering through nonlinear effects has been utilized in ultrafast control of material properties. However, nonlinear optical phonons typically exhibit rapid decay due to strong mode-mode couplings, limiting their effectiveness in te
Externí odkaz:
http://arxiv.org/abs/2410.03128
This study investigates the learnability of Recurrent Neural Networks (RNNs) in classifying structured formal languages, focusing on counter and Dyck languages. Traditionally, both first-order (LSTM) and second-order (O2RNN) RNNs have been considered
Externí odkaz:
http://arxiv.org/abs/2410.03118
Autor:
Burns, Eric, Lesage, Stephen, Goldstein, Adam, Briggs, Michael S., Veres, Peter, Bala, Suman, de Barra, Cuan, Bissaldi, Elisabetta, Cleveland, William H, Giles, Misty M, Godwin, Matthew, Hristov, Boyan A., Hui, C. Michelle, Kocevski, Daniel, Mailyan, Bagrat, Malacaria, Christian, McBreen, Sheila, Preece, Robert, Roberts, Oliver J., Scotton, Lorenzo, von Kienlin, A., Wilson-Hodge, Colleen A., Wood, Joshua
The prompt spectra of gamma-ray bursts are known to follow broadband continuum behavior over decades in energy. GRB 221009A, given the moniker the brightest of all time (BOAT), is the brightest gamma-ray burst identified in half a century of observat
Externí odkaz:
http://arxiv.org/abs/2410.00286
Autor:
Rosati, Domenic, Edkins, Giles, Raj, Harsh, Atanasov, David, Majumdar, Subhabrata, Rajendran, Janarthanan, Rudzicz, Frank, Sajjad, Hassan
While there has been progress towards aligning Large Language Models (LLMs) with human values and ensuring safe behaviour at inference time, safety-aligned LLMs are known to be vulnerable to training-time attacks such as supervised fine-tuning (SFT)
Externí odkaz:
http://arxiv.org/abs/2409.12914
We present Nebula, a system for differential private histogram estimation of data distributed among clients. Nebula enables clients to locally subsample and encode their data such that an untrusted server learns only data values that meet an aggregat
Externí odkaz:
http://arxiv.org/abs/2409.09676
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