activity
20182021
collaborators

4 papers

physics.plasm-ph2021

Welch's method transform of strange attractors of argon glow discharge plasmas: symmetric zero point energy fluctuations of particles, anti-particles and virtual particles

M. Fatih Yilmaz, Ramazan Tinaztepe, Bekir Karlik +1

Substantial developments in pattern recognition and machine learning offer unique advancements to study the deeper structures of plasma physics. We have employed the Kernel princip…

physics.plasm-ph2020

Probabilistic principal component and linear discriminant analysis of interaction of 1064 nm CW laser with ICP plasma: Anti-Stokes cooling due to analogue black hole

M. F. Yilmaz, H. U. Rahman, F. Paletou +3

Pattern recognition and machine learning techniques are known to play an emerging role for studying underlying physics of light-matter interaction. While on the subject, photon con…

physics.plasm-ph2018

Investigation of electron beam effects on L shell Mo plasma produced by a compact LC generator using pattern recognition

M. F. Yilmaz, Y. Danisman, M. Ozdemir +2

In this paper, the effects of electron beam on the X pinch produced spectra of L-shell Mo plasma have been investigated by principal component analysis (PCA), and this analysis is…

physics.comp-ph2018

A hybrid machine learning model to study UV-Vis spectra of gold nano spheres

B. Karlik, M. F. Yilmaz, M. Ozdemir +2

Here, we have employed Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) to analyze Mie calculated UV-Vis spectra of gold nanospheres (GNS). Eigen spectra o…