The sdss-iv manga sample: design, optimization, and usage considerations
DA Wake, K Bundy, AM Diamond-Stanic… - The Astronomical …, 2017 - iopscience.iop.org
We describe the sample design for the SDSS-IV MaNGA survey and present the final
properties of the main samples along with important considerations for using these samples …
properties of the main samples along with important considerations for using these samples …
Galaxy mergers can rapidly shut down star formation
Galaxy mergers trigger both star formation and accretion on to the central supermassive
black hole. As a result of subsequent energetic feedback processes, it has long been …
black hole. As a result of subsequent energetic feedback processes, it has long been …
IllustrisTNG in the HSC-SSP: image data release and the major role of mini mergers as drivers of asymmetry and star formation
At fixed galaxy stellar mass, there is a clear observational connection between structural
asymmetry and offset from the star-forming main sequence, ΔSFMS. Herein, we use the …
asymmetry and offset from the star-forming main sequence, ΔSFMS. Herein, we use the …
Interacting galaxies in the IllustrisTNG simulations− IV: enhanced supermassive black hole accretion rates in post-merger galaxies
S Byrne-Mamahit, MH Hani, SL Ellison… - Monthly Notices of …, 2023 - academic.oup.com
We present an analysis of the instantaneous supermassive black hole (SMBH) accretion
rates in a collection of 1563 post-merger galaxies drawn from the IllustrisTNG simulation …
rates in a collection of 1563 post-merger galaxies drawn from the IllustrisTNG simulation …
A Virgo Environmental Survey Tracing Ionised Gas Emission (VESTIGE)-I. Introduction to the survey
A Boselli, M Fossati, L Ferrarese, S Boissier… - Astronomy & …, 2018 - aanda.org
The Virgo Environmental Survey Tracing Ionised Gas Emission (VESTIGE) is a blind narrow-
band (NB) Hα+[NII] imaging survey carried out with MegaCam at the Canada–France …
band (NB) Hα+[NII] imaging survey carried out with MegaCam at the Canada–France …
Deep learning predictions of galaxy merger stage and the importance of observational realism
C Bottrell, MH Hani, H Teimoorinia… - Monthly Notices of …, 2019 - academic.oup.com
Machine learning is becoming a popular tool to quantify galaxy morphologies and identify
mergers. However, this technique relies on using an appropriate set of training data to be …
mergers. However, this technique relies on using an appropriate set of training data to be …
Spatially resolved star formation and fuelling in galaxy interactions
We investigate the spatial structure and evolution of star formation and the interstellar
medium (ISM) in interacting galaxies. We use an extensive suite of parsec-scale galaxy …
medium (ISM) in interacting galaxies. We use an extensive suite of parsec-scale galaxy …
Convolutional neural network identification of galaxy post-mergers in UNIONS using IllustrisTNG
RW Bickley, C Bottrell, MH Hani… - Monthly Notices of …, 2021 - academic.oup.com
ABSTRACT The Canada–France Imaging Survey (CFIS) will consist of deep, high-resolution
r-band imaging over∼ 5000 deg2 of the sky, representing a first-rate opportunity to identify …
r-band imaging over∼ 5000 deg2 of the sky, representing a first-rate opportunity to identify …
Interacting galaxies in the IllustrisTNG simulations-I: Triggered star formation in a cosmological context
DR Patton, KD Wilson, CJ Metrow… - Monthly Notices of …, 2020 - academic.oup.com
We use the IllustrisTNG cosmological hydrodynamical simulations to investigate how the
specific star formation rates (sSFRs) of massive galaxies (M*> 1010 M⊙) depend on the …
specific star formation rates (sSFRs) of massive galaxies (M*> 1010 M⊙) depend on the …
Interacting galaxies on FIRE-2: the connection between enhanced star formation and interstellar gas content
We present a comprehensive suite of high-resolution (parsec-scale), idealized (non-
cosmological) galaxy merger simulations (24 runs, stellar mass ratio∼ 2.5: 1) to investigate …
cosmological) galaxy merger simulations (24 runs, stellar mass ratio∼ 2.5: 1) to investigate …