GIANFAGNA, GIULIA
GIANFAGNA, GIULIA
DIPARTIMENTO DI FISICA
A deep learning approach to infer galaxy cluster masses from Planck Compton-y parameter maps
2022 de Andres, D.; Cui, W.; Ruppin, F.; De Petris, M.; Yepes, G.; Gianfagna, G.; Lahouli, I.; Aversano, G.; Dupuis, R.; Jarraya, M.; Vega-Ferrero, J.
A study of the hydrostatic mass bias dependence and evolution within the three hundred clusters
2023 Gianfagna, Giulia; Rasia, Elena; Cui, Weiguang; DE PETRIS, Marco; Yepes, Gustavo; Contreras-Santos, Ana; Knebe, Alexander
Binary Neutron Star mergers in the multi-messenger era: from astrophysics to cosmology
2024 Gianfagna, Giulia
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.
Joint analysis of gravitational-wave and electromagnetic data of mergers: breaking an afterglow model degeneracy in GW170817 and in future events
2023 Gianfagna, Giulia; Piro, Luigi; Pannarale, Francesco; Vaneerten, Hendrik; Ricci, Fulvio; Ryan, Geoffrey; Troja, Eleonora
Potential biases and prospects for the Hubble constant estimation via electromagnetic and gravitational-wave joint analyses
2024 Gianfagna, Giulia; Piro, Luigi; Pannarale, Francesco; Van Eerten, Hendrik; Ricci, Fulvio; Ryan, Geoffrey
The hydrostatic mass bias in THE THREE HUNDRED clusters
2022 Gianfagna, Giulia; Rasia, Elena; Cui, Weiguang; DE PETRIS, Marco; Gustavo Yepes, And
The three hundred project. A machine learning method to infer clusters of galaxy mass radial profiles from mock Sunyaev–Zel’dovich maps
2023 Ferragamo, A.; de Andres, D.; Sbriglio, A.; Cui, W.; De Petris, M.; Yepes, G.; Dupuis, R.; Jarraya, M.; Lahouli, I.; De Luca, F.; Gianfagna, G.; Rasia, E.
The Three Hundred Project: the gizmo-simba run
2022 Cui, W.; Dave, R.; Knebe, A.; Rasia, E.; Gray, M.; Pearce, F.; Power, C.; Yepes, G.; Anbajagane, D.; Ceverino, D.; Contreras-Santos, A.; De Andres, D.; De Petris, M.; Ettori, S.; Haggar, R.; Li, Q.; Wang, Y.; Yang, X.; Borgani, S.; Dolag, K.; Zu, Y.; Kuchner, U.; Canas, R.; Ferragamo, A.; Gianfagna, G.
The Three Hundred–NIKA2 Sunyaev–Zeldovich Large Program twin samples: Synthetic clusters to support real observations
2022 Paliwal, A.; Artis, E.; Cui, W.; De Petris, M.; Désert, F. -X.; Ferragamo, A.; Gianfagna, G.; Kéruzoré, F.; Macías-Pérez, J. -F.; Mayet, F.; Muñoz-Echeverría, M.; Perotto, L.; Rasia, E.; Ruppin, F.; Yepes, G.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A deep learning approach to infer galaxy cluster masses from Planck Compton-y parameter maps | 2022 | de Andres, D.; Cui, W.; Ruppin, F.; De Petris, M.; Yepes, G.; Gianfagna, G.; Lahouli, I.; Aversano, G.; Dupuis, R.; Jarraya, M.; Vega-Ferrero, J. | |
| A study of the hydrostatic mass bias dependence and evolution within the three hundred clusters | 2023 | Gianfagna, Giulia; Rasia, Elena; Cui, Weiguang; DE PETRIS, Marco; Yepes, Gustavo; Contreras-Santos, Ana; Knebe, Alexander | |
| Binary Neutron Star mergers in the multi-messenger era: from astrophysics to cosmology | 2024 | Gianfagna, Giulia | |
| 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. | |
| Joint analysis of gravitational-wave and electromagnetic data of mergers: breaking an afterglow model degeneracy in GW170817 and in future events | 2023 | Gianfagna, Giulia; Piro, Luigi; Pannarale, Francesco; Vaneerten, Hendrik; Ricci, Fulvio; Ryan, Geoffrey; Troja, Eleonora | |
| Potential biases and prospects for the Hubble constant estimation via electromagnetic and gravitational-wave joint analyses | 2024 | Gianfagna, Giulia; Piro, Luigi; Pannarale, Francesco; Van Eerten, Hendrik; Ricci, Fulvio; Ryan, Geoffrey | |
| The hydrostatic mass bias in THE THREE HUNDRED clusters | 2022 | Gianfagna, Giulia; Rasia, Elena; Cui, Weiguang; DE PETRIS, Marco; Gustavo Yepes, And | |
| The three hundred project. A machine learning method to infer clusters of galaxy mass radial profiles from mock Sunyaev–Zel’dovich maps | 2023 | Ferragamo, A.; de Andres, D.; Sbriglio, A.; Cui, W.; De Petris, M.; Yepes, G.; Dupuis, R.; Jarraya, M.; Lahouli, I.; De Luca, F.; Gianfagna, G.; Rasia, E. | |
| The Three Hundred Project: the gizmo-simba run | 2022 | Cui, W.; Dave, R.; Knebe, A.; Rasia, E.; Gray, M.; Pearce, F.; Power, C.; Yepes, G.; Anbajagane, D.; Ceverino, D.; Contreras-Santos, A.; De Andres, D.; De Petris, M.; Ettori, S.; Haggar, R.; Li, Q.; Wang, Y.; Yang, X.; Borgani, S.; Dolag, K.; Zu, Y.; Kuchner, U.; Canas, R.; Ferragamo, A.; Gianfagna, G. | |
| The Three Hundred–NIKA2 Sunyaev–Zeldovich Large Program twin samples: Synthetic clusters to support real observations | 2022 | Paliwal, A.; Artis, E.; Cui, W.; De Petris, M.; Désert, F. -X.; Ferragamo, A.; Gianfagna, G.; Kéruzoré, F.; Macías-Pérez, J. -F.; Mayet, F.; Muñoz-Echeverría, M.; Perotto, L.; Rasia, E.; Ruppin, F.; Yepes, G. |