TY - JOUR
T1 - Galaxy Zoo
T2 - 3D - crowdsourced bar, spiral, and foreground star masks for MaNGA target galaxies
AU - Masters, Karen L.
AU - Krawczyk, Coleman
AU - Shamsi, Shoaib
AU - Todd, Alexander
AU - Finnegan, Daniel
AU - Bershady, Matthew
AU - Bundy, Kevin
AU - Cherinka, Brian
AU - Fraser-Mckelvie, Amelia
AU - Krishnarao, Dhanesh
AU - Kruk, Sandor
AU - Lane, Richard R.
AU - Law, David
AU - Lintott, Chris
AU - Merrifield, Michael
AU - Simmons, Brooke
AU - Weijmans, Anne Marie
AU - Yan, Renbin
PY - 2021/11/1
Y1 - 2021/11/1
N2 - The challenge of consistent identification of internal structure in galaxies - in particular disc galaxy components like spiral arms, bars, and bulges - has hindered our ability to study the physical impact of such structure across large samples. In this paper we present Galaxy Zoo: 3D (GZ:3D) a crowdsourcing project built on the Zooniverse platform that we used to create spatial pixel (spaxel) maps that identify galaxy centres, foreground stars, galactic bars, and spiral arms for 29 831 galaxies that were potential targets of the MaNGA survey (Mapping Nearby Galaxies at Apache Point Observatory, part of the fourth phase of the Sloan Digital Sky Surveys or SDSS-IV), including nearly all of the 10 010 galaxies ultimately observed. Our crowdsourced visual identification of asymmetric internal structures provides valuable insight on the evolutionary role of non-axisymmetric processes that is otherwise lost when MaNGA data cubes are azimuthally averaged. We present the publicly available GZ:3D catalogue alongside validation tests and example use cases. These data may in the future provide a useful training set for automated identification of spiral arm features. As an illustration, we use the spiral masks in a sample of 825 galaxies to measure the enhancement of star formation spatially linked to spiral arms, which we measure to be a factor of three over the background disc, and how this enhancement increases with radius.
AB - The challenge of consistent identification of internal structure in galaxies - in particular disc galaxy components like spiral arms, bars, and bulges - has hindered our ability to study the physical impact of such structure across large samples. In this paper we present Galaxy Zoo: 3D (GZ:3D) a crowdsourcing project built on the Zooniverse platform that we used to create spatial pixel (spaxel) maps that identify galaxy centres, foreground stars, galactic bars, and spiral arms for 29 831 galaxies that were potential targets of the MaNGA survey (Mapping Nearby Galaxies at Apache Point Observatory, part of the fourth phase of the Sloan Digital Sky Surveys or SDSS-IV), including nearly all of the 10 010 galaxies ultimately observed. Our crowdsourced visual identification of asymmetric internal structures provides valuable insight on the evolutionary role of non-axisymmetric processes that is otherwise lost when MaNGA data cubes are azimuthally averaged. We present the publicly available GZ:3D catalogue alongside validation tests and example use cases. These data may in the future provide a useful training set for automated identification of spiral arm features. As an illustration, we use the spiral masks in a sample of 825 galaxies to measure the enhancement of star formation spatially linked to spiral arms, which we measure to be a factor of three over the background disc, and how this enhancement increases with radius.
KW - galaxies: bar
KW - galaxies: spiral
KW - galaxies: structure
KW - methods: data analysis
KW - surveys
UR - http://www.scopus.com/inward/record.url?scp=85117093922&partnerID=8YFLogxK
U2 - 10.1093/mnras/stab2282
DO - 10.1093/mnras/stab2282
M3 - Article
AN - SCOPUS:85117093922
SN - 0035-8711
VL - 507
SP - 3923
EP - 3935
JO - Monthly Notices of the Royal Astronomical Society
JF - Monthly Notices of the Royal Astronomical Society
IS - 3
ER -