The joint-distribution function between variables plays an important role in reliability analysis. A method is proposed for constructing the using a neural network, which used to construct copula model under arbitrarily measured data, including input and output values of network empirical cumulative distribution. Three traditional models are constructed based on Kendall rank-correlation coeffic...

The next generation of galaxy surveys will provide highly accurate measurements the large-scale structure Universe, allowing for more stringent tests gravity on cosmological scales. Higher order statistics are a valuable tool to study non-Gaussianities in matter field and break degeneracies between modified other physical or nuisance parameters. However, understanding from first principles beha...

Conformal field theories (CFT) play an important role in quantum as they allow for exact studies that are hard to access without the conformal symmetries place. A remarkable recent development is application of theory periodically driven systems, so-called Floquet-driven CFTs. number works have found there classes (1+1)-dimensional CFTs can be analytically solved, and show both heating non-heat...