Svetlana
Voskresenskaia

Astrophysicist · IKI RAS, Moscow · HSE University, Moscow

Exploring galaxy clusters through multi-wavelength observations and machine learning

ORCID Google Scholar ResearchGate GitHub
SV

About Me

My research focuses on the formation, evolution and detection of galaxy clusters using X-ray, microwave and infrared/optic surveys. I develop machine learning methods for identifying galaxy clusters and estimating their physical properties from multi-wavelength observations.

Galaxy clusters Catalogues Machine learning Galaxies Photometry Redshift Measurements SZ effect

Research Topics

01

Physical Properties of Galaxy Clusters

Studying scaling relations, mass estimates, SFR of galaxy clusters using SZ, optic, IK, X-ray surveys

02

Machine Learning for Galaxy Cluster Detection

Developing deep learning pipelines for detecting galaxy clusters in multi-wavelength surveys (submillimeter, infrared WISE, X-ray), improving completeness and reducing false positives.

Publications

Peer-reviewed papers and conference proceedings. Full list also on Google Scholar and ORCID.

2026

ComPACT: Mass-Redshift Properties of the galaxy cluster catalogue

Voskresenskaia, S., N. Lyskova et al.

arXiv e-prints, arXiv:2605.20027 [astro-ph.CO]

arXiv DOI
2024

ComPACT: combined Atacama Cosmology Telescope + Planck galaxy cluster catalogue

Voskresenskaia, S., A. Meshcheryakov and N. Lyskova

MNRAS 531.1, pp. 1998–2010

arXiv DOI
2023

SRGz: Classification of eROSITA Point X-ray Sources in the 1% DESI Region and Calibration of Photometric Redshifts

Meshcheryakov A. V., Khorunzhev G. A., Voskresenskaya S. A.et al.

Astronomy Letters 49.11, pp. 646–661

DOI
2024

Most likely candidates for galaxy clusters in the PACT catalogue found using deep learning in the submillimetre range

Voskresenskaia, S.A. et al.

Physics of the Cosmos: proceedings of the 51st All-Russian student scientific conference, pp. 110

Conference Proceedings

Talks with the last versions of presentations

figure
2025 · MOSCOW, RUSSIA · IN RUSSIAN

Измерение масс и красных смещений каталога скоплений галактик ComPACT

Mass-Redshift Properties of the ComPACT galaxy cluster catalogue · oral

Determining mass and redshifts of comPACT catalogue

Slides (PDF)
figure
2024 · PESCARA, ITALY · IN ENGLISH

ComPACT: ACT+Planck galaxy cluster catalogue

Detect galaxy cluster SZ signal by DL approach

Slides (PDF)

Code & Data

Code

Galaxy Cluster Detection

Leading a team developing an algorithm to classify galaxy clusters using various architectures: CNN, MLP and Transformer - and to compare their efficiencies on the infrared (IR) data of the WISE survey (W1, W2 bands) and the microwave data of ACT+Planck (f90, f150, f220 frequencies)

galaxyHackers

Data

Galaxy Cluster DL SZ catalogue

Obtained in directions of SZcat by applying deep learning method to ACT+Planck maps to detect Sunyaev-Zeldovich effect

ComPACT