Cleaned repository focusing on running RascalC library for semi-analytical galaxy 2-point correlation function covariance matrices
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Updated
May 31, 2024 - Python
Cleaned repository focusing on running RascalC library for semi-analytical galaxy 2-point correlation function covariance matrices
RascalC: A Fast Code for Galaxy Covariance Matrix Estimation
Tabulated Correlation Functions
Libraries to analyze numerical simulations (python3)
Heavy ion Analysis Libraries
⚡️⚡️⚡️Blazing fast correlation functions on the CPU.
utilizuies to manage bath correlation function and related quantities including fitting of multi-exponential representations in time domain
🚀 analysis framework for constructing two-particle correlation in nuclear physics - applicable for experimental data and outputs from transport model
Alice O2 Run3 files and documentation.
The public repository for the code COFFE
Reconstruction of binary arrays using correlation functions and simulated annealing
Example on how to compute correlation functions of realistic experimental data for continuously measured quantum systems.
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.
⚡️⚡️⚡️Blazing fast correlation functions on the CPU.
A tutorial on using Python to extract the fringe contrast from an interferogram and calculate the temporal decay of the first-order correlation function.
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.
encore: Efficient isotropic 2-, 3-, 4-, 5- and 6-point correlation functions in C++ and CUDA
Codes of some useful statistical quantities in astrophysics and cosmology
A framework for conducting polymer reference interaction site model (PRISM) calculations
It contain some basic code but useful in solving machine learning task
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