Catching a grown-up starfish planetary nebula II. Plasma analysis and central star properties of PC 22
L. Sabin, V. G\'omez-Llanos, C. Morisset, V. M. A. G\'omez-Gonz\'alez,, M.A. Guerrero, H. Todt, X. Fang

TL;DR
This paper presents a detailed plasma and stellar analysis of planetary nebula PC 22, utilizing novel Monte Carlo methods, machine learning for ionization correction factors, and confirms its classification as a [WO1]-type Wolf-Rayet central star.
Contribution
It introduces new plasma diagnostics, pioneer ionization correction factors derived via machine learning, and confirms the [WO1] classification of the central star in PC 22.
Findings
Electron temperatures of ~10,800 K and ~13,000 K in different nebula regions.
First use of machine learning to calculate ionization correction factors for this nebula.
Classification of the central star as a [WO1]-type Wolf-Rayet star.
Abstract
After performing the morpho-kinematic analysis of the planetary nebula (PN) PC 22, we now present its nebular and stellar analysis. The plasma investigation relies on the novel use of a Monte Carlo analysis associated to the PyNeb code for the uncertainty propagation. The innermost region of the nebula shows electronic temperatures 10,800~K using [NII] and 13,000 K using [OIII] and electronic densities 600~cm. We also used for the first time a Machine Learning Algorithm to calculate Ionisation Correction Factors (ICFs) specifically adapted to PC 22. This has allowed us to have pioneer ICFs for (S + S)/O, Cl/O, and Ar+Ar, as well as a possible new determination for the total abundance of neon. The study of the stellar spectrum revealed the presence of broad emission lines…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
