Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Vid Irsic"'
Autor:
Francisco Villaescusa-Navarro, Shy Genel, Daniel Anglés-Alcázar, Lucia A. Perez, Pablo Villanueva-Domingo, Digvijay Wadekar, Helen Shao, Faizan G. Mohammad, Sultan Hassan, Emily Moser, Erwin T. Lau, Luis Fernando Machado Poletti Valle, Andrina Nicola, Leander Thiele, Yongseok Jo, Oliver H. E. Philcox, Benjamin D. Oppenheimer, Megan Tillman, ChangHoon Hahn, Neerav Kaushal, Alice Pisani, Matthew Gebhardt, Ana Maria Delgado, Joyce Caliendo, Christina Kreisch, Kaze W. K. Wong, William R. Coulton, Michael Eickenberg, Gabriele Parimbelli, Yueying Ni, Ulrich P. Steinwandel, Valentina La Torre, Romeel Dave, Nicholas Battaglia, Daisuke Nagai, David N. Spergel, Lars Hernquist, Blakesley Burkhart, Desika Narayanan, Benjamin Wandelt, Rachel S. Somerville, Greg L. Bryan, Matteo Viel, Yin Li, Vid Irsic, Katarina Kraljic, Federico Marinacci, Mark Vogelsberger
Publikováno v:
The Astrophysical Journal Supplement Series, Vol 265, Iss 2, p 54 (2023)
The Cosmology and Astrophysics with Machine Learning Simulations (CAMELS) project was developed to combine cosmology with astrophysics through thousands of cosmological hydrodynamic simulations and machine learning. CAMELS contains 4233 cosmological
Externí odkaz:
https://doaj.org/article/3325626d077745a3abeb937b84af2f24
Autor:
Shoko Jin, Scott C Trager, Gavin B Dalton, J Alfonso L Aguerri, J E Drew, Jesús Falcón-Barroso, Boris T Gänsicke, Vanessa Hill, Angela Iovino, Matthew M Pieri, Bianca M Poggianti, D J B Smith, Antonella Vallenari, Don Carlos Abrams, David S Aguado, Teresa Antoja, Alfonso Aragón-Salamanca, Yago Ascasibar, Carine Babusiaux, Marc Balcells, R Barrena, Giuseppina Battaglia, Vasily Belokurov, Thomas Bensby, Piercarlo Bonifacio, Angela Bragaglia, Esperanza Carrasco, Ricardo Carrera, Daniel J Cornwell, Lilian Domínguez-Palmero, Kenneth J Duncan, Benoit Famaey, Cecilia Fari na, Oscar A Gonzalez, Steve Guest, Nina A Hatch, Kelley M Hess, Matthew J Hoskin, Mike Irwin, Johan H Knapen, Sergey E Koposov, Ulrike Kuchner, Clotilde Laigle, Jim Lewis, Marcella Longhetti, Sara Lucatello, Jairo Méndez-Abreu, Amata Mercurio, Alireza Molaeinezhad, Maria Monguió, Sean Morrison, David N A Murphy, Luis Peralta de Arriba, Isabel Pérez, Ignasi Pérez-Ràfols, Sergio Picó, Roberto Raddi, Mercè Romero-Gómez, Frédéric Royer, Arnaud Siebert, George M Seabroke, Debopam Som, David Terrett, Guillaume Thomas, Roger Wesson, C Clare Worley, Emilio J Alfaro, Carlos Allende Prieto, Javier Alonso-Santiago, Nicholas J Amos, Richard P Ashley, Lola Balaguer-Nú nez, Eduardo Balbinot, Michele Bellazzini, Chris R Benn, Sara R Berlanas, Edouard J Bernard, Philip Best, Daniela Bettoni, Andrea Bianco, Georgia Bishop, Michael Blomqvist, Corrado Boeche, Micol Bolzonella, Silvia Bonoli, Albert Bosma, Nikolay Britavskiy, Gianni Busarello, Elisabetta Caffau, Tristan Cantat-Gaudin, Alfred Castro-Ginard, Guilherme Couto, Juan Carbajo-Hijarrubia, David Carter, Laia Casamiquela, Ana M Conrado, Pablo Corcho-Caballero, Luca Costantin, Alis Deason, Abel de Burgos, Sabrina De Grandi, Paola Di Matteo, Jesús Domínguez-Gómez, Ricardo Dorda, Alyssa Drake, Rajeshwari Dutta, Denis Erkal, Sofia Feltzing, Anna Ferré-Mateu, Diane Feuillet, Francesca Figueras, Matteo Fossati, Elena Franciosini, Antonio Frasca, Michele Fumagalli, Anna Gallazzi, Rubén García-Benito, Nicola Gentile Fusillo, Marwan Gebran, James Gilbert, T M Gledhill, Rosa M González Delgado, Robert Greimel, Mario Giuseppe Guarcello, Jose Guerra, Marco Gullieuszik, Christopher P Haines, Martin J Hardcastle, Amy Harris, Misha Haywood, Amina Helmi, Nauzet Hernandez, Artemio Herrero, Sarah Hughes, Vid Irsic, Pascale Jablonka, Matt J Jarvis, Carme Jordi, Rohit Kondapally, Georges Kordopatis, Jens-Kristian Krogager, Francesco La Barbera, Man I Lam, Søren S Larsen, Bertrand Lemasle, Ian J Lewis, Emilie Lhomé, Karin Lind, Marcello Lodi, Alessia Longobardi, Ilaria Lonoce, Laura Magrini, Jesús Maíz Apellániz, Olivier Marchal, Amparo Marco, Nicolas F Martin, Tadafumi Matsuno, Sophie Maurogordato, Paola Merluzzi, Jordi Miralda-Escudé, Emilio Molinari, Giacomo Monari, Lorenzo Morelli, Christopher J Mottram, Tim Naylor, Ignacio Negueruela, Jose Onorbe, Elena Pancino, Sébastien Peirani, Reynier F Peletier, Lucia Pozzetti, Monica Rainer, Pau Ramos, Shaun C Read, Elena Maria Rossi, Huub J A Röttgering, Jose Alberto Rubi no-Martín, Jose Sabater Montes, José San Juan, Nicoletta Sanna, Ellen Schallig, Ricardo P Schiavon, Mathias Schultheis, Paolo Serra, Timothy W Shimwell, Sergio Simón-Díaz, Russell J Smith, Rosanna Sordo, Daniele Sorini, Caroline Soubiran, Else Starkenburg, Iain A Steele, John Stott, Remko Stuik, Eline Tolstoy, Crescenzo Tortora, Maria Tsantaki, Mathieu Van der Swaelmen, Reinout J van Weeren, Daniela Vergani, Marc A W Verheijen, Kristiina Verro, Jorick S Vink, Miguel Vioque, C Jakob Walcher, Nicholas A Walton, Christopher Wegg, Anne-Marie Weijmans, Wendy L Williams, Andrew J Wilson, Nicholas J Wright, Theodora Xylakis-Dornbusch, Kris Youakim, Stefano Zibetti, Cristina Zurita
Publikováno v:
Monthly Notices of the Royal Astronomical Society
Monthly Notices of the Royal Astronomical Society, 2023, ⟨10.1093/mnras/stad557⟩
Monthly Notices of the Royal Astronomical Society, 2023, ⟨10.1093/mnras/stad557⟩
WEAVE, the new wide-field, massively multiplexed spectroscopic survey facility for the William Herschel Telescope, will see first light in late 2022. WEAVE comprises a new 2-degree field-of-view prime-focus corrector system, a nearly 1000-multiplex f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e703a657cd480f114b6f6cbe52ae052
https://hal-insu.archives-ouvertes.fr/insu-04040492
https://hal-insu.archives-ouvertes.fr/insu-04040492
Autor:
Ben Wang, Jiaqi Zou, Zheng Cai, J. Xavier Prochaska, Zechang Sun, Jiani Ding, Andreu Font-Ribera, Alma Gonzalez, Hiram K. Herrera-Alcantar, Vid Irsic, Xiaojing Lin, David Brooks, Soléne Chabanier, Roger de Belsunce, Nathalie Palanque-Delabrouille, Gregory Tarle, Zhimin Zhou
Publikováno v:
The Astrophysical Journal Supplement Series, vol 259, iss 1
We have updated and applied a convolutional neural network (CNN) machine-learning model to discover and characterize damped Lyα systems (DLAs) based on Dark Energy Spectroscopic Instrument (DESI) mock spectra. We have optimized the training process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86f13e0656bd9036943b40656bfa9ad0
https://escholarship.org/uc/item/62g9110v
https://escholarship.org/uc/item/62g9110v