Tomo-V -- a New Tool for Doppler Tomography

TL;DR

Tomo-V is a web-based Doppler tomography tool utilizing a fast algebraic reconstruction technique, enabling high-quality imaging from noisy, limited, or contaminated data with integrated analysis features.

Contribution

The paper introduces a computationally efficient implementation of ART for Doppler tomography, integrated into a user-friendly web application with advanced analysis tools.

Findings

Effective reconstruction from noisy and limited data

High-speed web implementation suitable for personal computers

Enhanced analysis features for astrophysical interpretation

Abstract

In this paper, a new tool for Doppler tomography, Tomo-V (https://tomo-v.inasan.ru) that is developed based on the algebraic reconstruction technique (ART) has been presented. Previously, the ART method has not been widely used in tomography, as its direct implementation was computationally complex. The author has developed a fast version of this algorithm, which allowed it to be implemented within a web application that runs at acceptable speed in a browser on a personal computer. This method can be used to obtain sharp tomographic images from blurred profiles. Furthermore, the method has demonstrated excellent results in reconstructing images from noisy data, from a small number of profiles, and from profiles contaminated by absorption lines and emission from the expanding envelope. Tomo-V also includes tools for analyzing the resulting tomograms, allowing the position of accretion disks and Roche lobes to be displayed on the tomogram, as well as back-projecting the tomographic image onto flow elements in spatial coordinates. The paper is partially based on a report presented at the Modern Stellar Astronomy 2025 conference.