A new method for reconstructing the density distribution of matter in the disks of spiral galaxies from the rotation velocity curve in it
Alexander Shatskiy, Igor Novikov, Olga K. Sil'chenko, Jakob Hansen,, Ivan Yu. Katkov

TL;DR
This paper introduces a novel method to reconstruct the matter density distribution in spiral galaxy disks using rotation velocity data, improving dark matter estimation accuracy.
Contribution
The paper presents a new approach that avoids quadrature of special functions for analyzing galaxy rotation curves, enhancing density reconstruction accuracy.
Findings
Applied to observational data from multiple galaxies
More precise estimates of dark matter content
Method improves upon previous reconstruction techniques
Abstract
In this paper we propose a new method for reconstructing the surface density of matter in flat disks of spiral galaxies. The surface density is expressed through observational rotation velocity curves of visible matter in the disks of spiral galaxies. The new method is not based on quadrature of special functions. The found solution is used for processing and analysis of observational data from several spiral galaxies. The new method can be used to more accurately estimate the amount of dark matter in spiral galaxies.
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.
