| Issue |
A&A
Volume 696, April 2025
|
|
|---|---|---|
| Article Number | L21 | |
| Number of page(s) | 3 | |
| Section | Letters to the Editor | |
| DOI | https://doi.org/10.1051/0004-6361/202554745 | |
| Published online | 29 April 2025 | |
Letter to the Editor
Kolmogorov analysis of JWST deep survey galaxies
1
National Research Nuclear University MEPhI, Moscow, Russia
2
Center for Cosmology and Astrophysics, Alikhanian National Laboratory and Yerevan State University, Yerevan, Armenia
3
School of Physics and Astronomy, Monash University, Clayton, Australia
4
SIA, Sapienza University of Rome, Rome, Italy
⋆ Corresponding author: gurzadyan@yerphi.am
Received:
25
March
2025
Accepted:
16
April
2025
JWST galaxy deep spectral surveys provide a unique opportunity to trace a broad range of evolutionary features of galaxies and the intergalactic medium given the huge distance the photons are propagating. We have analyzed the spectral data of JWST galaxies up to a redshift of around 7 using the Kolmogorov technique, which is an efficient tool for testing the tiny comparative randomness properties of cumulative signals, that is, for distinguishing the contributions of regular and stochastic sub-signals. Our aim is to determine if certain identical spectral features of galaxies have undergone any distortions or systematic evolution across a broad range of redshifts. Our results indicate a change in the spectral properties of the sample galaxies at around z ≃ 2.7 at over a 99% confidence level.
Key words: galaxies: high-redshift
© The Authors 2025
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This article is published in open access under the Subscribe to Open model. Subscribe to A&A to support open access publication.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.