TY - JOUR
T1 - Multiscale stellar associations across the star formation hierarchy in PHANGS-HST nearby galaxies
T2 - methodology and properties
AU - Larson, Kirsten L.
AU - Lee, Janice C.
AU - Thilker, David A.
AU - Whitmore, Bradley C.
AU - Deger, Sinan
AU - Lilly, James
AU - Chandar, Rupali
AU - Dale, Daniel A.
AU - Bigiel, Frank
AU - Grasha, Kathryn
AU - Groves, Brent
AU - Hannon, Stephen
AU - Klessen, Ralf S.
AU - Kreckel, Kathryn
AU - Kruijssen, J. M.Diederik
AU - Leroy, Adam K.
AU - Pan, Hsi An
AU - Rosolowsky, Erik
AU - Schinnerer, Eva
AU - Schruba, Andreas
AU - Watkins, Elizabeth J.
AU - Williams, Thomas G.
N1 - Funding Information:
SD was supported by funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 101018897 CosmicExplorer).
Funding Information:
TGW acknowledges funding from ERC under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 694343).
Funding Information:
KG was supported by the Australian Research Council through the Discovery Early Career Researcher Award (DECRA) Fellowship DE220100766 funded by the Australian Government.
Funding Information:
RSK acknowledges support from ERC via the Synergy Grant ‘ECOGAL’ (project ID 855130), from the Heidelberg Cluster of Excellence (EXC 2181-390900948) ‘STRUCTURES’, funded by the German Excellence Strategy, from DFG in the Collaborative Research Center SFB 881 ‘The Milky Way System’ (funding ID 138713538, subprojects A1, B1, B2, and B8), and from the German Ministry for Economic Affairs and Climate Action in project ‘MAINN’ (funding ID 50OO2206). RSK also thanks for HPC resources and data storage supported by the Ministry of Science, Research and the Arts of the State of Baden-Württemberg (MWK) and DFG through grants INST 35/1314-1 FUGG and INST 35/1503-1 FUGG, and for computing time from the Leibniz Computing Center (LRZ) in project pr74nu.
Funding Information:
This research is based on observations made with the NASA/ESA Hubble Space Telescope obtained from the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NASA5-26555. Support for programme number 15654 was provided through a grant from the STScI under NASA contract NAS5-26555.
Funding Information:
JMDK gratefully acknowledges funding from the Deutsche Forschungsgemeinschaft (DFG) in the form of an Emmy Noether Research Group (grant no. KR4801/1-1), as well as from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme via the ERC Starting Grant MUSTANG (grant agreement no. 714907). COOL Research DAO is a decentralized autonomous organization supporting research in astrophysics aimed at uncovering our cosmic origins.
Funding Information:
This research is based on observations made with the NASA/ESA Hubble Space Telescope obtained from the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NASA5-26555. Support for programme number 15654 was provided through a grant from the STScI under NASA contract NAS5-26555. This paper makes use of the following ALMA data: ADS/JAO.ALMA#2015.1.00925.S and ADS/JAO.ALMA#2015.1.00956.S. ALMA is a partnership of ESO (representing its member states), NSF (USA), and NINS (Japan), together with NRC (Canada), MOST and ASIAA (Taiwan), and KASI (Republic of Korea), in cooperation with the Republic of Chile. The Joint ALMA Observatory is operated by ESO, AUI/NRAO, and NAOJ. This research has made use of the NASA/IPAC Extragalactic Database (NED), which is operated by the Jet Propulsion Laboratory, California Institute of Technology, under contract with NASA. JMDK gratefully acknowledges funding from the Deutsche Forschungsgemeinschaft (DFG) in the form of an Emmy Noether Research Group (grant no. KR4801/1-1), as well as from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme via the ERC Starting Grant MUSTANG (grant agreement no. 714907). COOL Research DAO is a decentralized autonomous organization supporting research in astrophysics aimed at uncovering our cosmic origins. SD wassupported by funding from the EuropeanResearchCouncil (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement no. 101018897 CosmicExplorer). KK and EJW gratefully acknowledge funding from DFG in the form of an Emmy Noether Research Group (grant no. KR4598/2-1, PI Kreckel). TGW acknowledges funding from ERC under the European Union's Horizon 2020 research and innovation programme (grant agreement no. 694343). RSK acknowledges support from ERC via the Synergy Grant 'ECOGAL' (project ID 855130), from the Heidelberg Cluster of Excellence (EXC 2181-390900948) 'STRUCTURES', funded by the German Excellence Strategy, from DFG in the Collaborative Research Center SFB 881 'The Milky Way System' (funding ID 138713538, subprojects A1, B1, B2, and B8), and from the German Ministry for Economic Affairs and Climate Action in project 'MAINN' (funding ID 50OO2206). RSK also thanks for HPC resources and data storage supported by the Ministry of Science, Research and the Arts of the State of Baden-Wurttemberg (MWK) and DFG through grants INST 35/1314-1 FUGG and INST 35/1503- 1 FUGG, and for computing time from the LeibnizComputingCenter (LRZ) in project pr74nu. KG was supported by the Australian Research Council through the Discovery Early Career Researcher Award (DECRA) Fellowship DE220100766 funded by the Australian Governmen.
Funding Information:
KK and EJW gratefully acknowledge funding from DFG in the form of an Emmy Noether Research Group (grant no. KR4598/2-1, PI Kreckel).
Publisher Copyright:
© 2023 The Author(s).
PY - 2023/8/1
Y1 - 2023/8/1
N2 - We develop a method to identify and determine the physical properties of stellar associations using Hubble Space Telescope (HST) NUV-U-B-V-I imaging of nearby galaxies from the Physics at High Angular Resolution in Nearby GalaxieS with the Hubble Space Telescope (PHANGS-HST) survey. We apply a watershed algorithm to density maps constructed from point source catalogues Gaussian smoothed to multiple physical scales from 8 to 64 pc. We develop our method on two galaxies that span the distance range in the PHANGS-HST sample: NGC 3351 (10 Mpc) and NGC 1566 (18 Mpc). We test our algorithm with different parameters such as the choice of detection band for the point source catalogue (NUV or V), source density image filtering methods, and absolute magnitude limits. We characterize the properties of the resulting multiscale associations, including sizes, number of tracer stars, number of associations, and photometry, as well as ages, masses, and reddening from spectral energy distribution fitting. Our method successfully identifies structures that occupy loci in the UBVI colour-colour diagram consistent with previously published catalogues of clusters and associations. The median ages of the associations increase from log(age/yr) = 6.6 to log(age/yr) = 6.9 as the spatial scale increases from 8 to 64 pc for both galaxies. We find that the youngest stellar associations, with ages <3 Myr, indeed closely trace H ii regions in H α imaging, and that older associations are increasingly anticorrelated with the H α emission. Owing to our new method, the PHANGS-HST multiscale associations provide a far more complete census of recent star formation activity than found with previous cluster and compact association catalogues.
AB - We develop a method to identify and determine the physical properties of stellar associations using Hubble Space Telescope (HST) NUV-U-B-V-I imaging of nearby galaxies from the Physics at High Angular Resolution in Nearby GalaxieS with the Hubble Space Telescope (PHANGS-HST) survey. We apply a watershed algorithm to density maps constructed from point source catalogues Gaussian smoothed to multiple physical scales from 8 to 64 pc. We develop our method on two galaxies that span the distance range in the PHANGS-HST sample: NGC 3351 (10 Mpc) and NGC 1566 (18 Mpc). We test our algorithm with different parameters such as the choice of detection band for the point source catalogue (NUV or V), source density image filtering methods, and absolute magnitude limits. We characterize the properties of the resulting multiscale associations, including sizes, number of tracer stars, number of associations, and photometry, as well as ages, masses, and reddening from spectral energy distribution fitting. Our method successfully identifies structures that occupy loci in the UBVI colour-colour diagram consistent with previously published catalogues of clusters and associations. The median ages of the associations increase from log(age/yr) = 6.6 to log(age/yr) = 6.9 as the spatial scale increases from 8 to 64 pc for both galaxies. We find that the youngest stellar associations, with ages <3 Myr, indeed closely trace H ii regions in H α imaging, and that older associations are increasingly anticorrelated with the H α emission. Owing to our new method, the PHANGS-HST multiscale associations provide a far more complete census of recent star formation activity than found with previous cluster and compact association catalogues.
KW - galaxies: star clusters: general
KW - galaxies: star formation
UR - http://www.scopus.com/inward/record.url?scp=85165009313&partnerID=8YFLogxK
U2 - 10.1093/mnras/stad1600
DO - 10.1093/mnras/stad1600
M3 - Article
AN - SCOPUS:85165009313
SN - 0035-8711
VL - 523
SP - 6061
EP - 6081
JO - Monthly Notices of the Royal Astronomical Society
JF - Monthly Notices of the Royal Astronomical Society
IS - 4
ER -