Testing the key role of the stellar mass-halo mass relation in galaxy merger rates and morphologies via DECODE, a novel Discrete statistical sEmi-empiriCal mODEl

Autor: Hao Fu, Francesco Shankar, Mohammadreza Ayromlou, Max Dickson, Ioanna Koutsouridou, Yetli Rosas-Guevara, Christopher Marsden, Kristina Brocklebank, Mariangela Bernardi, Nikolaos Shiamtanis, Joseph Williams, Lorenzo Zanisi, Viola Allevato, Lumen Boco, Silvia Bonoli, Andrea Cattaneo, Paola Dimauro, Fangzhou Jiang, Andrea Lapi, Nicola Menci, Stefani Petropoulou, Carolin Villforth

Publikováno v: Fu, H, Shankar, F, Ayromlou, M, Dickson, M, Koutsouridou, I, Rosas-Guevara, Y, Marsden, C, Brocklebank, K, Bernardi, M, Shiamtanis, N, Williams, J, Zanisi, L, Allevato, V, Boco, L, Bonoli, S, Cattaneo, A, Dimauro, P, Jiang, F, Lapi, A, Menci, N, Petropoulou, S & Villforth, C 2022, ' Testing the key role of the stellar mass-halo mass relation in galaxy merger rates and morphologies via DECODE, a novel Discrete statistical sEmi-empiriCal mODEl ', Monthly Notices of the Royal Astronomical Society, vol. 516, no. 3, pp. 3206-3233 . https://doi.org/10.1093/mnras/stac2205

The relative roles of mergers and star formation in regulating galaxy growth are still a matter of intense debate. We here present our DECODE, a new Discrete statistical sEmi-empiriCal mODEl specifically designed to predict rapidly and efficiently, i

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http://hdl.handle.net/20.500.11767/129830