Deep learning method develops very fast as a tool for data analysis these years. Such a technique is quite promising to treat gravitational wave detection data. There are many works already in the literature which used deep learning technique to …
Establishing the statistical physics foundation of warm inflation through Langevin equations, demonstrating stationarity and scale-invariance of perturbations via fluctuation-dissipation relations.
Dynamical systems analysis of warm inflation models revealing how dissipative coefficients and noncanonical kinetic terms affect inflationary behavior and reheating conditions.
Pioneer exploration of deep learning applications in gravitational wave data analysis, addressing challenges in signal detection, computational efficiency, and discovery of unexpected signals beyond theoretical templates.
Novel background metric expansion method for constructing rotating charged black hole solutions in higher-dimensional Kaluza-Klein supergravity with (anti-)de Sitter spacetime.