Stellar parameters for the central star of the planetary nebula PRTM 1 using the German Astrophysical Virtual Observatory service TheoSSA
T. Rauch (1), M. Demleitner (2), D. Hoyer (1), K. Werner (1) ((1), Institute for Astronomy, Astrophysics, Eberhard Karls University,, Tuebingen, Germany, (2) Astronomisches Rechen-Institut (ARI), Centre for, Astronomy of Heidelberg University, Heidelberg, Germany)

TL;DR
This paper demonstrates how the German Virtual Observatory service TheoSSA can be used to analyze the stellar parameters of the central star of PRTM 1, utilizing NLTE stellar atmosphere models to derive temperature, gravity, composition, mass, and luminosity.
Contribution
It introduces the use of TheoSSA for detailed spectral analysis of hot stars, enabling easy access to pre-calculated spectra and custom model calculations.
Findings
Measured stellar temperature of 98,000 K with 5,000 K uncertainty.
Derived stellar mass of approximately 0.73 solar masses.
Determined photospheric abundances and luminosity of the star.
Abstract
The German Astrophysical Virtual Observatory (GAVO) developed the registered service TheoSSA (theoretical stellar spectra access) and the supporting registered VO tool TMAW (Tuebingen Model-Atmosphere WWW interface). These allow individual spectral analyses of hot, compact stars with state-of-the-art non-local thermodynamical equilibrium (NLTE) stellar-atmosphere models that presently consider opacities of the elements H, He, C, N, O, Ne, Na, and Mg, without requiring detailed knowledge about the involved background codes and procedures. Presently, TheoSSA provides easy access to about 150000 pre-calculated stellar SEDs and is intended to ingest SEDs calculated by any model-atmosphere code. In the case of the exciting star of PRTM 1, we demonstrate the easy way to calculate individual NLTE stellar model-atmospheres to reproduce an observed optical spectrum. We measured Teff = 98000 +/-…
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.
