Contributed Talk - Splinter Stars
Wednesday, 15 September 2021, 17:15 (virtual Stars)
Diagnostic of optical emission from cooling supernova shocks in the multiphase Interstellar Media
Ekaterina I. Makarenko(1), Stefanie Walch(1), Seamus D. Clarke(1), Daniel Seifried(1), Thorsten Naab(2)
(1) 1. Institute of Physics, University of Cologne, (2) Max Planck Institute for Astrophysics
Supernovae remnants (SNRs) emit across the entire wavelength range. When the dense, shocked gas has cooled, you can observe optical emission using different filters in key optical lines (e.g. [O III], [S II], etc.). Usually, it happens in the later stages of evolution, and these observations are rare. However, despite the difficulties of observing SNRs in the optical range, these observations help us classify different types of objects (such as SNRs, H II regions, and planetary nebulae). Furthermore, many parameters of the interstellar medium (such as electron density, electron temperature, and others) and supernova itself (age, explosion energy, stage of evolution) can also be determined. In our work, we can reconstruct realistic optical emissions from SNRs in 3D in different environments using one of the SILCC-ZOOM simulations and a post-processing tool. In these simulations, we explode a supernova placed 25 pc from the molecular cloud to get a condition of a “SNR in a dense medium." Besides the reconstruction of different parameters, we found a rather important effect: usually, optical radiation from SNRs in our Galaxy is optically thin. However, if we consider optical radiation in a dense medium, the picture will change dramatically depending on which side the observer is on. First, the radiation does not track the filled bubble, only the thin envelope, so that projection on different axes can give different results. Secondly, taking into account the absorption of radiation (for example, due to dust) using the radiative transfer also changes the result. Now we can take these important effects into account in the analysis of synthetic observations and do a proper comparison with real observations.