Year: 2021
Type: preprint
Abstract: Freezed version of code for the non-parametrical recovery of stellar Line-Of-Sight Velocity Distributions (LOSVD) from galaxy spectra. Stellar LOSVD recovery from the observed galaxy spectra is equivalent to a deconvolution and can be solved as a linear inverse problem. To overcome its ill-posed nature we apply smoothing regularization. Here we present a non-parametric fitting technique and show real-world application to **MaNGA** spectral data cubes and **long-slit spectrum** of stellar counter-rotating galaxies. More information about this technique can be found in ADASS XXXI conference proceeding (https://arxiv.org/abs/2112.08386).
Source: arXiv (Cornell University)
Authors: Gasymov, Damir, Katkov, Ivan
Institution: Lomonosov Moscow State University
Language: English
Subfield: Astronomy and Astrophysics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4226322986