TY - JOUR
T1 - Shape Analysis of HII Regions - II. Synthetic Observations
AU - Campbell-White, Justyn
AU - Ali, Ahmad A.
AU - Froebrich, Dirk
AU - Kume, Alfred
N1 - Funding Information:
We thank the referee for their careful review of this manuscript. We thank S. E. Ragan for organizing the Cardiff Galactic Star Formation Workshop, which facilitated this collaboration. We also thank J. S. Urquhart and M. A. Thompson for the thorough discussion that led to multiple improvements in this work. JCW acknowledges the studentship provided by the University of Kent. AAA acknowledges funding from the European Research Council for the Horizon 2020 ERC consolidator grant project ICYBOB (grant number 818940), and a Science and Technology Facilities Council (STFC) studentship. The SOs were calculated on DiRAC Complexity at the University of Leicester, and the DiRAC@Durham facility managed by the Institute for Computational Cosmology. These form part of the STFC DiRAC HPC Facility (www.dirac.ac.uk). Complexity was funded by BIS National E-Infrastructure capital grant ST/K000373/1 and STFC DiRAC Operations grant ST/K0003259/1. DiRAC@Durham was funded by BEIS capital funding via STFC capital grants ST/P002293/1, ST/R002371/1, and ST/S002502/1, Durham University, and STFC operations grant ST/R000832/1. DiRAC is part of the National e-Infrastructure.
Publisher Copyright:
© 2020 The Author(s).
PY - 2020/8
Y1 - 2020/8
N2 - The statistical shape analysis method developed for probing the link between physical parameters and morphologies of Galactic H II regions is applied here to a set of synthetic observations (SOs) of a numerically modelled HII region. The systematic extraction of H II region shape, presented in the first paper of this series, allows for a quantifiable confirmation of the accuracy of the numerical simulation, with respect to the real observational counterparts of the resulting SOs. A further aim of this investigation is to determine whether such SOs can be used for direct interpretation of the observational data, in a future supervised classification scheme based upon H II region shape. The numerical H II region data were the result of photoionization and radiation pressure feedback of a 34 M star, in a 1000 M cloud. The SOs analysed herein comprised four evolutionary snapshots (0.1, 0.2, 0.4, and 0.6Myr), and multiple viewing projection angles. The shape analysis results provided conclusive evidence of the efficacy of the numerical simulations. When comparing the shapes of the synthetic regions to their observational counterparts, the SOs were grouped in amongst the Galactic H II regions by the hierarchical clustering procedure. There was also an association between the evolutionary distribution of regions and the respective groups. This suggested that the shape analysis method could be further developed for morphological classification of H II regions by using a synthetic data training set, with differing initial conditions of well-defined parameters.
AB - The statistical shape analysis method developed for probing the link between physical parameters and morphologies of Galactic H II regions is applied here to a set of synthetic observations (SOs) of a numerically modelled HII region. The systematic extraction of H II region shape, presented in the first paper of this series, allows for a quantifiable confirmation of the accuracy of the numerical simulation, with respect to the real observational counterparts of the resulting SOs. A further aim of this investigation is to determine whether such SOs can be used for direct interpretation of the observational data, in a future supervised classification scheme based upon H II region shape. The numerical H II region data were the result of photoionization and radiation pressure feedback of a 34 M star, in a 1000 M cloud. The SOs analysed herein comprised four evolutionary snapshots (0.1, 0.2, 0.4, and 0.6Myr), and multiple viewing projection angles. The shape analysis results provided conclusive evidence of the efficacy of the numerical simulations. When comparing the shapes of the synthetic regions to their observational counterparts, the SOs were grouped in amongst the Galactic H II regions by the hierarchical clustering procedure. There was also an association between the evolutionary distribution of regions and the respective groups. This suggested that the shape analysis method could be further developed for morphological classification of H II regions by using a synthetic data training set, with differing initial conditions of well-defined parameters.
KW - H II regions
KW - Hydrodynamics-radiative transfer
KW - Methods: data analysis
KW - Methods: statistical
KW - Radio continuum: ISM
UR - https://arxiv.org/abs/2006.06506
UR - http://www.scopus.com/inward/record.url?scp=85095425698&partnerID=8YFLogxK
U2 - 10.1093/mnras/staa1701
DO - 10.1093/mnras/staa1701
M3 - Article
SN - 0035-8711
VL - 496
SP - 4311
EP - 4329
JO - Monthly Notices of the Royal Astronomical Society
JF - Monthly Notices of the Royal Astronomical Society
IS - 4
ER -