1 citations · 1 across the 4 of their papers we have counts for
13 papers
Gamma-ray burst light curve reconstruction with predictive models
Zhunuskanov A., Sakan A., Akhmetali A. +2
Gamma-ray bursts represent some of the most energetic and complex phenomena in the universe, characterized by highly variable light curves that often contain observational gaps. Re…
Evolution of fractality in centrally concentrated young clusters
Almat Akhmetali, Adilkhan Assilkhan, Mordecai-Mark Mac Low +6
We investigate the structural evolution of young star clusters forming within centrally concentrated molecular clouds. Our simulations use the Torch framework, which integrates the…
Parameter Estimation Horizon of Core-Collapse Supernovae with Current and Next-Generation Gravitational-Wave Detectors
Almat Akhmetali, Y. Sultan Abylkairov, Daniil Orel +8
Core-collapse supernovae (CCSNe) are powerful sources of gravitational waves (GWs). These signals propagate essentially unobstructed, providing a unique probe of the supernova cent…
Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves
Almat Akhmetali, Y. Sultan Abylkairov, Marat Zaidyn +6
Gravitational waves from core-collapse supernovae offer a unique probe of the equation of state (EOS) of dense nuclear matter. For rapidly rotating stars, previous machine-learning…
Probing Supernovae through gravitational wave entropy
Aknur Sakan, Nurzhan Ussipov, Ernazar Abdikamalov +6
We study an entropy-based framework to analyze gravitational-wave signals from core-collapse supernovae. We use waveforms generated by numerical simulations and analyze them in bot…
The Role of Fractal Dimension in Wireless Mesh Network Performance
Marat Zaidyn, Sayat Akhtanov, Dana Turlykozhayeva +4
Wireless mesh networks (WMNs) depend on the spatial distribution of nodes, which directly influences connectivity, routing efficiency, and overall network performance. Conventional…