Zobrazeno 1 - 10
of 19 816
pro vyhledávání: '"Nanni A"'
Autor:
Schindler, Jan-Torge, Hennawi, Joseph F., Davies, Frederick B., Bosman, Sarah E. I., Endsley, Ryan, Wang, Feige, Yang, Jinyi, Barth, Aaron J., Eilers, Anna-Christina, Fan, Xiaohui, Kakiichi, Koki, Maseda, Michael, Pizzati, Elia, Nanni, Riccardo
The James Webb Space Telescope has uncovered a puzzling population of UV-faint broad-line active galactic nuclei (AGN), nicknamed ``Little Red Dots'' (LRD) owing to their compact morphology and red rest-frame optical colours. Interpreted as dust atte
Externí odkaz:
http://arxiv.org/abs/2411.11534
Autor:
Giannessi, Lorenzo, Cadoux, Franck, Cap, Sebastien, Chakrani, Jaafar, Drapier, Olivier, Favre, Yannick, Gastaldi, Franck, Jakkapu, Mahesh, Nanni, Jerome, Sakashita, Ken, Sánchez, Federico
T2K is a long baseline neutrino experiment, entering Phase II with a Near Detector upgrade. The T2K near detector (ND280) upgrade consists of the installation of three new detector systems: a plastic scintillator neutrino active target (Super-FGD), t
Externí odkaz:
http://arxiv.org/abs/2410.23833
Autor:
Uttenthaler, S., Shetye, S., Nanni, A., Aringer, B., Eriksson, K., McDonald, I., Gobrecht, D., Höfner, S., Wolter, U., Cristallo, S., Bernhard, K.
Context: The details of the mass-loss process in the late stages of low- and intermediate-mass stellar evolution are not well understood, in particular its dependence on stellar parameters. Mira variables are highly suitable targets for studying this
Externí odkaz:
http://arxiv.org/abs/2409.19604
Autor:
Williams, Angus R., Burke-Moore, Liam, Chan, Ryan Sze-Yin, Enock, Florence E., Nanni, Federico, Sippy, Tvesha, Chung, Yi-Ling, Gabasova, Evelina, Hackenburg, Kobi, Bright, Jonathan
Advances in large language models have raised concerns about their potential use in generating compelling election disinformation at scale. This study presents a two-part investigation into the capabilities of LLMs to automate stages of an election d
Externí odkaz:
http://arxiv.org/abs/2408.06731
Autor:
Chan, Ryan Sze-Yin, Nanni, Federico, Brown, Edwin, Chapman, Ed, Williams, Angus R., Bright, Jonathan, Gabasova, Evelina
Recent surge in Large Language Model (LLM) availability has opened exciting avenues for research. However, efficiently interacting with these models presents a significant hurdle since LLMs often reside on proprietary or self-hosted API endpoints, ea
Externí odkaz:
http://arxiv.org/abs/2408.11847
The proliferation of human-AI ecosystems involving human interaction with algorithms, such as assistants and recommenders, raises concerns about large-scale social behaviour. Despite evidence of such phenomena across several contexts, the collective
Externí odkaz:
http://arxiv.org/abs/2407.20004
The Low-Level RF (LLRF) control circuits of linear accelerators (LINACs) are conventionally realized with heterodyne based architectures, which have analog RF mixers for up and down conversion with discrete data converters. We have developed a new LL
Externí odkaz:
http://arxiv.org/abs/2407.18198
Autor:
Pappalardo, Luca, Ferragina, Emanuele, Citraro, Salvatore, Cornacchia, Giuliano, Nanni, Mirco, Rossetti, Giulio, Gezici, Gizem, Giannotti, Fosca, Lalli, Margherita, Gambetta, Daniele, Mauro, Giovanni, Morini, Virginia, Pansanella, Valentina, Pedreschi, Dino
Recommendation systems and assistants (in short, recommenders) are ubiquitous in online platforms and influence most actions of our day-to-day lives, suggesting items or providing solutions based on users' preferences or requests. This survey analyse
Externí odkaz:
http://arxiv.org/abs/2407.01630
Autor:
Lai, S., Utehs, J., Wilhahn, A., Fouz, M. C., Bach, O., Brianne, E., Ebrahimi, A., Gadow, K., Göttlicher, P., Hartbrich, O., Heuchel, D., Irles, A., Krüger, K., Kvasnicka, J., Lu, S., Neubüser, C., Provenza, A., Reinecke, M., Sefkow, F., Schuwalow, S., De Silva, M., Sudo, Y., Tran, H. L., Liu, L., Masuda, R., Murata, T., Ootani, W., Seino, T., Takatsu, T., Tsuji, N., Pöschl, R., Richard, F., Zerwas, D., Hummer, F., Simon, F., Boudry, V., Brient, J-C., Nanni, J., Videau, H., Buhmann, E., Garutti, E., Huck, S., Kasieczka, G., Martens, S., Rolph, J., Wellhausen, J., Bilki, B., Northacker, D., Onel, Y., Emberger, L., Graf, C.
To achieve state-of-the-art jet energy resolution for Particle Flow, sophisticated energy clustering algorithms must be developed that can fully exploit available information to separate energy deposits from charged and neutral particles. Three publi
Externí odkaz:
http://arxiv.org/abs/2407.00178
Photonic addressing of superconducting circuits has been proposed to overcome wiring complexity and heat load challenges, but superconducting-photonic links suffer from an efficiency-noise trade-off that limits scalability. This trade-off arises beca
Externí odkaz:
http://arxiv.org/abs/2406.14501