Multi-layered Characterisation of hot stellar systems with confidence. (arXiv:2003.05777v3 [astro-ph.GA] UPDATED)
<a href="http://arxiv.org/find/astro-ph/1/au:+Chattopadhyay_S/0/1/0/all/0/1">Souradeep Chattopadhyay</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Kawaler_S/0/1/0/all/0/1">Steven D. Kawaler</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Maitra_R/0/1/0/all/0/1">Ranjan Maitra</a>
Understanding the physical and evolutionary properties of Hot Stellar Systems
(HSS) is a major challenge in astronomy. We studied the dataset on 13456 HSS of
Misgeld and Hilker (2011) that includes 12763 candidate globular clusters and
found multi-layered homogeneous grouping among these stellar systems. Our
methods elicited eight homogeneous ellipsoidal groups at the finest sub-group
level. Some of these groups have high overlap and were merged through a
multi-phased syncytial algorithm motivated from Almod’ovar-Rivera and Maitra
(2020). Five groups were merged in the first phase, resulting in three
complex-structured groups. Our algorithm determined further complex structure
and permitted one more merging phase, revealing two complex-structured groups
at the highest level. A nonparametric bootstrap procedure found our group
assignments to generally have high confidences in classification, indicating
stability of our HSS assignments. The physical and kinematic properties of the
two highest-level groups were assessed in terms of mass, effective radius,
surface density and mass-luminosity ratio. The first group consisted of older,
smaller and less bright HSS while the second group consisted of the brighter
and younger HSS. Our analysis provides novel insight into the physical and
evolutionary properties of HSS and specifically of %also helps to understand
physical and evolutionary properties of candidate globular clusters. Further,
the candidate globular clusters are seen to have very high probability of being
globular clusters rather than dwarfs or dwarf ellipticals that are also
indicated to be quite distinct from each other.
Understanding the physical and evolutionary properties of Hot Stellar Systems
(HSS) is a major challenge in astronomy. We studied the dataset on 13456 HSS of
Misgeld and Hilker (2011) that includes 12763 candidate globular clusters and
found multi-layered homogeneous grouping among these stellar systems. Our
methods elicited eight homogeneous ellipsoidal groups at the finest sub-group
level. Some of these groups have high overlap and were merged through a
multi-phased syncytial algorithm motivated from Almod’ovar-Rivera and Maitra
(2020). Five groups were merged in the first phase, resulting in three
complex-structured groups. Our algorithm determined further complex structure
and permitted one more merging phase, revealing two complex-structured groups
at the highest level. A nonparametric bootstrap procedure found our group
assignments to generally have high confidences in classification, indicating
stability of our HSS assignments. The physical and kinematic properties of the
two highest-level groups were assessed in terms of mass, effective radius,
surface density and mass-luminosity ratio. The first group consisted of older,
smaller and less bright HSS while the second group consisted of the brighter
and younger HSS. Our analysis provides novel insight into the physical and
evolutionary properties of HSS and specifically of %also helps to understand
physical and evolutionary properties of candidate globular clusters. Further,
the candidate globular clusters are seen to have very high probability of being
globular clusters rather than dwarfs or dwarf ellipticals that are also
indicated to be quite distinct from each other.
http://arxiv.org/icons/sfx.gif
