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@ARTICLE{Zhu:1020571,
author = {Zhu, Qirong and Pérez-Montaño, Luis Enrique and
Rodriguez-Gomez, Vicente and Cervantes Sodi, Bernardo and
Zjupa, Jolanta and Marinacci, Federico and Vogelsberger,
Mark and Hernquist, Lars},
title = {{G}iant low surface brightness galaxies in {TNG}100},
journal = {Monthly notices of the Royal Astronomical Society},
volume = {523},
number = {3},
issn = {0035-8711},
address = {Oxford},
publisher = {Oxford Univ. Press},
reportid = {FZJ-2024-00266},
pages = {3991 - 4014},
year = {2023},
abstract = {Giant low surface brightness (GLSB) galaxies, such as Malin
1 and UGC 1382, contain the largest stellar discs known.
GLSB galaxies also often contain large masses of neutral
hydrogen (H I). However, these extreme galaxies' origin and
properties remain poorly understood. Using the cosmological
simulation IllustrisTNG 100, we identify and select a sample
of ~200 galaxies with extended (RHI>50 kpc) and well-defined
H I discs, ~6 per cent of the total galaxies in the same
stellar mass range (10.2 < log (M*/M⊙) < 11.6). This GLSB
sample is heterogeneous, with mixed galaxy morphologies
ranging from the most disc-dominated systems to massive
ellipticals. These simulated GLSB galaxies are located in
massive haloes (Vmax>150 km s−1) and their properties,
such as total H I content, stellar disc parameters, star
formation rate, and rotation curves, agree with observed
GLSB galaxies. We construct a paired control sample to
contrast with the GLSB galaxies. The GLSB galaxies tend to
have large galaxy spin parameters (40 per cent larger) and
larger ex situ stellar mass fractions than the paired
control. We find evidence that aligned mergers promote the
formation of extended discs and that isolated environments
help the survival of those discs across cosmic time.},
cin = {JSC},
ddc = {520},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs)
and Research Groups (POF4-511) / DFG project 15499703 - TRR
33: Das Dunkle Universum (15499703) / ATMLAO - ATML
Application Optimization and User Service Tools (ATMLAO)},
pid = {G:(DE-HGF)POF4-5112 / G:(GEPRIS)15499703 /
G:(DE-Juel-1)ATMLAO},
typ = {PUB:(DE-HGF)16},
UT = {WOS:001011067600017},
doi = {10.1093/mnras/stad1655},
url = {https://juser.fz-juelich.de/record/1020571},
}