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Tomo-V -- a New Tool for Doppler Tomography

P. V. Kaygorodov

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.

Tomo-V -- a New Tool for Doppler Tomography

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.

Paper Structure

This paper contains 11 sections, 6 equations, 16 figures.

Table of Contents

  1. Introduction
  2. The ART Method
  3. Tomo-V Program Operation
  4. Testing on Artificial Data
  5. Reconstruction By a Small Number of Profiles
  6. Recovering Blurred Data
  7. Reconstruction From Noisy Data
  8. Reducing Noise in Initial Profiles
  9. Testing on Real Data
  10. Analysis of Observational Tomograms Using Tomo-V Instruments
  11. Conclusions

Figures (16)

  • Figure 1: Working with synthetic data.
  • Figure 2: Working with real data.
  • Figure 3: Initial image (left column, without blur and with blur), profiles (middle column) and reconstructed image (right column). FWHM = 100, SNR = 1000, $50\times 50$ pixels, 25 profiles, 75 points per profile, and 500 iterations.
  • Figure 4: Similar to Fig. \ref{['letterA1']} for the "*" symbol.
  • Figure 5: Similar to Fig. \ref{['letterA1']} for the "@" symbol.
  • ...and 11 more figures