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Article overview
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Stellar Parameter Determination from Photometry using Invertible Neural Networks | Victor F. Ksoll
; Lynton Ardizzone
; Ralf Klessen
; Ullrich Koethe
; Elena Sabbi
; Massimo Robberto
; Dimitrios Gouliermis
; Carsten Rother
; Peter Zeidler
; Mario Gennaro
; | Date: |
16 Jul 2020 | Abstract: | Photometric surveys with the Hubble Space Telescope (HST) remain one of the
most efficient tools in astronomy to study stellar clusters with high
resolution and deep coverage. Estimating physical parameters of their
constituents from photometry alone, however, is not a trivial task. Leveraging
sophisticated stellar evolution models one can simulate observations and
characterise stars and clusters. Due to observational constraints, such as
extinction, photometric uncertainties and low filter coverage, as well as
intrinsic effects of stellar evolution, this inverse problem suffers from
degenerate mappings between the observable and physical parameter space that
are difficult to detect and break. We employ a novel deep learning approach
called conditional invertible neural network (cINN) to solve the inverse
problem of predicting physical parameters from photometry on an individual star
basis. Employing latent variables to encode information otherwise lost in the
mapping from physical to observable parameter space, the cINN can predict full
posterior distributions for the underlying physical parameters. We build this
approach on carefully curated synthetic data sets derived from the PARSEC
stellar evolution models. For simplicity we only consider single metallicity
populations and neglect all effects except extinction. We benchmark our
approach on HST data of two well studied stellar clusters, Westerlund 2 and NGC
6397. On the synthetic data we find overall excellent performance, with age
being the most difficult parameter to constrain. For the real observations we
retrieve reasonable results and are able to confirm previous findings for
Westerlund 2 on cluster age ($1.04_{-0.90}^{+8.48},mathrm{Myr} $), mass
segregation, and the stellar initial mass function. | Source: | arXiv, 2007.8391 | Services: | Forum | Review | PDF | Favorites |
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