TY - JOUR
T1 - Topological data analysis reveals differences between simulated galaxies and dark matter haloes
AU - Ouellette, Aaron
AU - Holder, Gilbert
AU - Kerman, Ely
N1 - Funding Information:
We thank the anonymous referee for their very useful comments that helped to improve this work. We thank the IllustrisTNG and CAMELS collaborations for publicly releasing their simulation data and example analysis scripts. The analysis in this work was mainly carried out using python . In addition to the previously cited software, the following packages were extremely useful: numpy (Harris et al. ), scipy (Virtanen et al. ), matplotlib (Hunter ), ipython (Perez & Granger ), h5py , and mpi4py (Dalcin & Fang ). This work made use of the Illinois Campus Cluster, a computing resource that is operated by the Illinois Campus Cluster Program (ICCP) in conjunction with the National Center for Supercomputing Applications (NCSA) and that is supported by funds from the University of Illinois at Urbana–Champaign.
Publisher Copyright:
© 2023 The Author(s)
PY - 2023/8/1
Y1 - 2023/8/1
N2 - We use topological summaries based on Betti curves to characterize the large-scale spatial distribution of simulated dark matter haloes and galaxies. Using the IllustrisTNG and CAMELS-SAM simulations, we show that the topology of the galaxy distribution is significantly different from the topology of the dark matter halo distribution. Further, there are significant differences between the distributions of star-forming and quiescent galaxies. These topological differences are broadly consistent across all simulations, while at the same time there are noticeable differences when comparing between different models. Finally, using the CAMELS-SAM simulations, we show that the topology of the quiescent galaxies, in particular, depends strongly on the amount of supernova feedback. These results suggest that topological summary statistics could be used to help better understand the processes of galaxy formation and evolution.
AB - We use topological summaries based on Betti curves to characterize the large-scale spatial distribution of simulated dark matter haloes and galaxies. Using the IllustrisTNG and CAMELS-SAM simulations, we show that the topology of the galaxy distribution is significantly different from the topology of the dark matter halo distribution. Further, there are significant differences between the distributions of star-forming and quiescent galaxies. These topological differences are broadly consistent across all simulations, while at the same time there are noticeable differences when comparing between different models. Finally, using the CAMELS-SAM simulations, we show that the topology of the quiescent galaxies, in particular, depends strongly on the amount of supernova feedback. These results suggest that topological summary statistics could be used to help better understand the processes of galaxy formation and evolution.
KW - large-scale structure of Universe
KW - methods: data analysis
KW - galaxies: formation
KW - galaxies: haloes
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U2 - 10.1093/mnras/stad1765
DO - 10.1093/mnras/stad1765
M3 - Article
SN - 0035-8711
VL - 523
SP - 5738
EP - 5747
JO - Monthly Notices of the Royal Astronomical Society
JF - Monthly Notices of the Royal Astronomical Society
IS - 4
M1 - stad1765
ER -