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Anzahl der Publikationen: 5
Zeitschriftenartikel
Ghirardini, Vittorio; Bulbul, Esra; Kraft, Ralph; Bayliss, Matt; Benson, Bradford; Bleem, Lindsey; Bocquet, Sebastian; Calzadilla, Micheal; Eckert, Dominique; Forman, William; Da Gonzalez, Juan David Remolina; Khullar, Gourav; Mahler, Guillaume und McDonald, Michael
(2021):
Evolution of the Thermodynamic Properties of Clusters of Galaxies out to Redshift of 1.8.
In: Astrophysical Journal, Bd. 910, Nr. 1, 14
Ghizzardi, Simona; Molendi, Silvano; Burg, Remco van der; De Grandi, Sabrina; Bartalucci, Iacopo; Gastaldello, Fabio; Rossetti, Mariachiara; Biffi, Veronica; Borgani, Stefano; Eckert, Dominique; Ettori, Stefano; Gaspari, Massimo; Ghirardini, Vittorio und Rasia, Elena
(2021):
Iron in X-COP: Tracing enrichment in cluster outskirts with high accuracy abundance profiles.
In: Astronomy & Astrophysics, Bd. 646, A92
Simionescu, Aurora; Ettori, Stefano; Werner, Norbert; Nagai, Daisuke; Vazza, Franco; Akamatsu, Hiroki; Pinto, Ciro; de Plaa, Jelle; Wijers, Nastasha; Nelson, Dylan; Pointecouteau, Etienne; Pratt, Gabriel W.; Spiga, Daniele; Vacanti, Giuseppe; Lau, Erwin; Rossetti, Mariachiara; Gastaldello, Fabio; Biffi, Veronica; Bulbul, Esra; Collon, Maximilien J.; Herder, Jan-Willem den; Eckert, Dominique; Fraternali, Filippo; Mingo, Beatriz; Pareschi, Giovanni; Pezzulli, Gabriele; Reiprich, Thomas H.; Schaye, Joop; Walker, Stephen A. und Werk, Jessica
(2021):
Voyage through the hidden physics of the cosmic web.
In: Experimental Astronomy, Bd. 51, Nr. 3: S. 1043-1079
Schneider, Aurel; Refregier, Alexandre; Grandis, Sebastian; Eckert, Dominique; Stoira, Nicola; Kacprzak, Tomasz; Knabenhans, Mischa; Stadel, Joachim und Teyssier, Romain
(2020):
Baryonic effects for weak lensing. Part II. Combination with X-ray data and extended cosmologies.
In: Journal of Cosmology and Astroparticle Physics, Nr. 4, 020
Green, Sheridan B.; Ntampaka, Michelle; Nagai, Daisuke; Lovisari, Lorenzo; Dolag, Klaus; Eckert, Dominique und ZuHone, John A.
(2019):
Using X-Ray Morphological Parameters to Strengthen Galaxy Cluster Mass Estimates via Machine Learning.
In: Astrophysical Journal, Bd. 884, Nr. 1, 33