4 papers · 1 filter
Robust PCA Study of TEM Images of Gold Nanospheres: Stable and Dynamic Closed Knot-Like Phase-Space Loops
Mehmet F. Yilmaz, Bekir Karlik
In this study, we apply Robust PCA to transmission electron microscopy (TEM) images of gold nanoparticles (GNPs) to decompose their geometrical, topological, and dynamical organiza…
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…
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…
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…