galaxyRate
Filippo Santoliquido · Zenodo (CERN European Organization for Nuclear Research) · 2022
data sets to reproduce figures 7 to 12 and 13 in https://arxiv.org/pdf/2205.05099.pdf Description of the naming: HG_model_alphavalue_GSSI_v2_object_snapshot_12Z_50_No_0.14_2 model: M57 stands for MZR, M54 stands for FMR alphavalue: A1, A3, A5 stand for common envelope values of alpha1, alpha3 and alpha5 respectively object: BBHs, BHNS and BNSs snapshot: from 28 to 19, please note redshift-snapshot conversion for the EAGLE cosmological simulation # Redshift Snapshot 2.220446049250313081e-16 28 1.006385385990142822e-01 27 1.827098727226257324e-01 26 2.709010839462280273e-01 25 3.656685650348663330e-01 24 5.031073093414306641e-01 23 6.151897907257080078e-01 22 7.356296181678771973e-01 21 8.650505542755126953e-01 20 1.004121661186218262e+00 19 Inside each data set (NB: all .txt files have an header reporting the same information): first column: stellar mass of the host galaxy in Msun second column: SFR in Msun yr^-1 third column: logZ (logarithm in base 10 of the metallicity fraction, i.e. Z = 10*(third column)) fourth column: merger rate per galaxy in Gyr^-1 fifth column: (Type) 1 if the host galaxy is star-forming, 0 if passive (according to our definition) in functions.py you’ll find the tools to evaluate the merger rate density per stellar mass bin as well as the merger rate per galaxy.