There are 1 repository under correlation-functions topic.
Libraries to analyze numerical simulations (python3)
A framework for conducting polymer reference interaction site model (PRISM) calculations
DynamicalCorrelators.jl is a frontend for calculating zero- and finite-temperature dynamical correlation functions and related observables based on time evolution matrix-product states methods.
Stochastic reconstruction of heterogeneous materials using X-ray tomography projections
Tabulated Correlation Functions
spatialstats is collection of statistical tools and utility routines used to analyze the multi-scale structure of 2D and 3D spatial fields and particle distributions.
Custom code (Python or Matlab) to compute centripetal propagation from astrocytic calcium recordings using pixel-wise correlation functions
Example on how to compute correlation functions of realistic experimental data for continuously measured quantum systems.
Heavy ion Analysis Libraries
StochasticA is a textbook / website for an “Introduction to Stochastic Signal Processing”. Materials for this website can be found here. Be sure to read the README.md document if you want to know more about the implementation.
A tutorial on using Python to extract the fringe contrast from an interferogram and calculate the temporal decay of the first-order correlation function.
Database of propulsion system components for electric and fuel powered UAVs
Reconstruction of binary arrays using correlation functions and simulated annealing
Codes of some useful statistical quantities in astrophysics and cosmology
encore: Efficient isotropic 2-, 3-, 4-, 5- and 6-point correlation functions in C++ and CUDA
Using Correlation function and Fourier Transform to find one specific letter in the image with the text
A library to compute the 3D and angular correlation function using MPI
This repository contains the software written for the manuscript "When velocity autocorrelations mirror force autocorrelations: Exact noise-cancellation in interacting Brownian systems" by A. Lüders, S. Mandal, and T. Franosch. The NC Algorithm [Mandal et al. PRL 2019] is implemented using the FACF.
Cleaned repository focusing on running RascalC library for semi-analytical galaxy 2-point correlation function covariance matrices
utilizuies to manage bath correlation function and related quantities including fitting of multi-exponential representations in time domain
:rocket: analysis framework for constructing two-particle correlation in nuclear physics - applicable for experimental data and outputs from transport model
Audio-container estimation
It contain some basic code but useful in solving machine learning task