CHEX-MATE: A non-parametric deep learning technique to deproject and deconvolve galaxy cluster X-ray temperature profiles

CHEX-MATE: A non-parametric deep learning technique to deproject and deconvolve galaxy cluster X-ray temperature profilesDOI: info:10.1051/0004-6361/202347234v. 679
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, Lorenzo, Mazzotta, P., Maughan, B. J., Pointecouteau, E., and Sereno, M. 2023. "CHEX-MATE: A non-parametric deep learning technique to deproject and deconvolve galaxy cluster X-ray temperature profiles." Astronomy and Astrophysics, 679. https://doi.org/10.1051/0004-6361/202347234.
ID: 173250
Type: article
Keywords: sao