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pro vyhledávání: '"Casetti A"'
All but the most massive main-sequence stars are expected to have a rarefied and hot (million-Kelvin) corona like the Sun. How such a hot corona is formed and supported has not been completely understood yet, even in the case of the Sun. Recently, Ba
Externí odkaz:
http://arxiv.org/abs/2411.07868
Autor:
Casetti-Dinescu, Dana I., Pawlowski, Marcel S., Girard, Terrence M., Kanehisa, Kosuke J., Petroski, Alexander, Martone, Max, Kozhurina-Platais, Vera, Platais, Imants
We measure the absolute proper motion of Andromeda III using ACS/WFC and WFPC2 exposures spanning an unprecedented 22-year time baseline. The WFPC2 exposures have been processed using a deep-learning centering procedure recently developed as well as
Externí odkaz:
http://arxiv.org/abs/2409.08252
Autor:
Jha, Saurabh W., Casetti-Dinescu, Dana I., Bernstein, Gary M., Hayes, Matthew J., Oskinova, Lidia M., Pace, Andrew B., Quimby, Robert M., Reiter, Megan, Rest, Armin, Riess, Adam G., Sand, David J., Weisz, Daniel R.
The Astro2020 Decadal Survey recognizes time-domain astronomy as a key science area over the next decade and beyond. With over 30 years of HST data and the potential for 20 years of JWST operations, these flagship observatories offer an unparalleled
Externí odkaz:
http://arxiv.org/abs/2405.12297
Autor:
Casetti-Dinescu, Dana I., Baena-Galle, Roberto, Girard, Terrence M., Cervantes-Rovira, Alejandro, Todeasa, Sebastian
We present an expanded and improved deep-learning (DL) methodology for determining centers of star images on HST/WFPC2 exposures. Previously, we demonstrated that our DL model can eliminate the pixel-phase bias otherwise present in these undersampled
Externí odkaz:
http://arxiv.org/abs/2404.16995
Autor:
Barbieri, Luca, Papini, Emanuele, Di Cintio, Pierfrancesco, Landi, Simone, Verdini, Andrea, Casetti, Lapo
Publikováno v:
J. Plasma Phys. 90 (2024) 905900511
Prompted by the relevant problem of temperature inversion (i.e. gradient of density anti-correlated to the gradient of temperature) in astrophysics, we introduce a novel method to model a gravitationally confined multi-component collisionless plasma
Externí odkaz:
http://arxiv.org/abs/2401.10713
Publikováno v:
Astronomy & Astrophysics 681, L5 (2024)
The temperature of the solar atmosphere increases from thousands to millions of degrees moving from the lower layer (chromosphere) to the outermost one (corona), while the density drops accordingly. The mechanism behind this phenomenon, known as a te
Externí odkaz:
http://arxiv.org/abs/2309.15772
Autor:
Casetti-Dinescu, Dana I., Girard, Terrence M., Baena-Galle, Roberto, Martone, Max, Schwendemann, Kate
A Deep Learning (DL) algorithm is built and tested for its ability to determine centers of star images on HST/WFPC2 exposures, in filters F555W and F814W. These archival observations hold great potential for proper-motion studies, but the undersampli
Externí odkaz:
http://arxiv.org/abs/2303.03346
For the first time, an Italian University has the possibility to perform a multi-year observing campaign at a world-class telescope. This hands-on experience had a significant impact on the students' university path: from learning specific observing
Externí odkaz:
http://arxiv.org/abs/2210.13360
Autor:
Tozzi, Giulia, Lusso, Elisabeta, Casetti, Lapo, Romoli, Marco, Andreuzzi, Gloria, A., Isabel Montoya, Nardini, Emanuele, Cresci, Giovanni, Middei, Riccardo, Bertolini, Silvia, Calabretto, Paolo, Cammelli, Vieri, Cuadra, Francisco, Ragione, Marco Dalla, Marconcini, Cosimo, Miceli, Adriano, Mini, Irene, Palazzini, Martina, Rotellini, Giorgio, Saccardi, Andrea, Samà, Lavinia, Sangalli, Mattia, Serafini, Lorenzo, Spaccino, Fabio
Publikováno v:
A&A 667, L12 (2022)
We report on the changing-look nature of the active galactic nucleus (AGN) in the galaxy NGC 4156, as serendipitously discovered thanks to data acquired in 2019 at the Telescopio Nazionale Galileo (TNG) during a students' observing programme. Previou
Externí odkaz:
http://arxiv.org/abs/2210.09341
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 2, Pp 315-327 (2024)
In the context of Industry 4.0, a paradigm shift from traditional industrial manipulators to Collaborative Robots (CRs) is ongoing, with the latter serving ever more closely humans as auxiliary tools in many production processes. In this scenario, co
Externí odkaz:
https://doaj.org/article/a0d9265eaf0544248056f327043e08e6
