DE LUCA, FEDERICO
DE LUCA, FEDERICO
CHEX-MATE. A non-parametric deep learning technique to deproject and deconvolve galaxy cluster X-ray temperature profiles
2023 Iqbal, A.; Pratt, G. W.; Bobin, J.; Arnaud, M.; Rasia, E.; Rossetti, M.; Duffy, R. T.; Bartalucci, I.; Bourdin, H.; De Luca, F.; De Petris, M.; Donahue, M.; Eckert, D.; Ettori, S.; Ferragamo, A.; Gaspari, M.; Gastaldello, F.; Gavazzi, R.; Ghizzardi, S.; Lovisari, L.; Mazzotta, P.; Maughan, B. J.; Pointecouteau, E.; Sereno, M.
Confirmation of NIKA2 investigation of the sunyaev-zel’dovich effect by using synthetic clusters of galaxies
2020 De Petris, Marco; Ruppin, Florian; Sembolini, Federico; Adam, Remí; Baldi, Anna Silvia; Cialone, Giammarco; Comis, Barbara; De Luca, Federico; Gianfagna, Giulia; Kéruzoré, Florian; Macías-Pérez, Juan; Mayet, Frédéric; Perotto, Laurence; Yepes, Gustavo
Exploring the hydrostatic mass bias in MUSIC clusters: Application to the NIKA2 mock sample
2021 Gianfagna, G.; De Petris, M.; Yepes, G.; De Luca, F.; Sembolini, F.; Cui, W.; Biffi, V.; Keruzore, F.; Macias-Perez, J.; Mayet, F.; Perotto, L.; Rasia, E.; Ruppin, F.
Generating galaxy clusters mass density maps from mock multiview images via deep learning
2024 de Andres, Daniel; Cui, Weiguang; Yepes, Gustavo; DE PETRIS, Marco; Aversano, Gianmarco; Ferragamo, Antonio; DE LUCA, Federico; Jiménez Muñoz, A.
The three hundred project. Mapping the matter distribution in galaxy clusters via deep learning from multiview simulated observations
2024 de Andres, Daniel; Cui, Weiguang; Yepes, Gustavo; DE PETRIS, Marco; Ferragamo, Antonio; DE LUCA, Federico; Aversano, Gianmarco; Rennehan, Douglas
The Three Hundred project: Dynamical state of galaxy clusters and morphology from multiwavelength synthetic maps
2021 De Luca, F.; De Petris, M.; Yepes, G.; Cui, W.; Knebe, A.; Rasia, E.
The three hundred project: Galaxy cluster mergers and their impact on the stellar component of brightest cluster galaxies
2022 Contreras-Santos, A.; Knebe, A.; Pearce, F.; Haggar, R.; Gray, M.; Cui, W.; Yepes, G.; De Petris, M.; De Luca, F.; Power, C.; Mostoghiu, R.; Nuza, S. E.; Hoeft, M.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| CHEX-MATE. A non-parametric deep learning technique to deproject and deconvolve galaxy cluster X-ray temperature profiles | 2023 | Iqbal, A.; Pratt, G. W.; Bobin, J.; Arnaud, M.; Rasia, E.; Rossetti, M.; Duffy, R. T.; Bartalucci, I.; Bourdin, H.; De Luca, F.; De Petris, M.; Donahue, M.; Eckert, D.; Ettori, S.; Ferragamo, A.; Gaspari, M.; Gastaldello, F.; Gavazzi, R.; Ghizzardi, S.; Lovisari, L.; Mazzotta, P.; Maughan, B. J.; Pointecouteau, E.; Sereno, M. | |
| Confirmation of NIKA2 investigation of the sunyaev-zel’dovich effect by using synthetic clusters of galaxies | 2020 | De Petris, Marco; Ruppin, Florian; Sembolini, Federico; Adam, Remí; Baldi, Anna Silvia; Cialone, Giammarco; Comis, Barbara; De Luca, Federico; Gianfagna, Giulia; Kéruzoré, Florian; Macías-Pérez, Juan; Mayet, Frédéric; Perotto, Laurence; Yepes, Gustavo | |
| Exploring the hydrostatic mass bias in MUSIC clusters: Application to the NIKA2 mock sample | 2021 | Gianfagna, G.; De Petris, M.; Yepes, G.; De Luca, F.; Sembolini, F.; Cui, W.; Biffi, V.; Keruzore, F.; Macias-Perez, J.; Mayet, F.; Perotto, L.; Rasia, E.; Ruppin, F. | |
| Generating galaxy clusters mass density maps from mock multiview images via deep learning | 2024 | de Andres, Daniel; Cui, Weiguang; Yepes, Gustavo; DE PETRIS, Marco; Aversano, Gianmarco; Ferragamo, Antonio; DE LUCA, Federico; Jiménez Muñoz, A. | |
| The three hundred project. Mapping the matter distribution in galaxy clusters via deep learning from multiview simulated observations | 2024 | de Andres, Daniel; Cui, Weiguang; Yepes, Gustavo; DE PETRIS, Marco; Ferragamo, Antonio; DE LUCA, Federico; Aversano, Gianmarco; Rennehan, Douglas | |
| The Three Hundred project: Dynamical state of galaxy clusters and morphology from multiwavelength synthetic maps | 2021 | De Luca, F.; De Petris, M.; Yepes, G.; Cui, W.; Knebe, A.; Rasia, E. | |
| The three hundred project: Galaxy cluster mergers and their impact on the stellar component of brightest cluster galaxies | 2022 | Contreras-Santos, A.; Knebe, A.; Pearce, F.; Haggar, R.; Gray, M.; Cui, W.; Yepes, G.; De Petris, M.; De Luca, F.; Power, C.; Mostoghiu, R.; Nuza, S. E.; Hoeft, M. |