#python-scripts
Important python scritps used in my doctoral thesis.
covariance_mm.py Computes the covariance between two input matrix. The output is a matrix.
covariance_mv.py Computes the covariance between a matrix and a vector. The output is a vector.
covariance_vm.py Computes the covariance between a vector and a matrix. The output is a vector.
covariance_vv.py Computes the covariance between two input vectors. The output is a vector.
projected-current.py Computes the projected current of some relevant variables (internal energy of the fluid, heat fluxes and time derivative of the internal energy of the fluid)
Hmatrix.py Computes the inverse of matrix of covariances C. Then calculates the conjugate variables.
Mmatrix.py Computes the matrix M from K,L,N and S, and from the correlations between iLepsilon with iLepsilon.
Dmatrix.py Computes the matrix D using the Green-Kubo kernels.
Hmatrix.py Computes the matrix of covariances C and the inverse H.
Ct-matrix.py Computes the matrix of covariances C(t).
chopCt.py Chops the matrix of covariances C(t) selecting the column we are interested in.
deriveCt.py Derives the matrix of covariances C(t).
model_rhoeTheory.py Computes the prediction of the evolution of the fluid density and the fluid energy based on a theory with fluid density and fluid energy as relevant variables.
model_eTheory.py Computes the prediction of the evolution of the fluid energy based on a theory with fluid energy as relevant variable.
average-correlations.py Averages the correlation functions.
average-covariances.py Averages the covariances.
average_profiles.py Averages the output profiles.
nodes-selection.py Selects the fluid nodes.
average-results.py Averages the covariances.