Libraries to analyze numerical simulations
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Updated
Dec 14, 2020 - Python
Libraries to analyze numerical simulations
This web app allows you to decompose your signal data or time series using FFT and gives the opportunity to interactively investigate the signal and its spectrum (frequency spectrum, power spectrum, periodogram, and its power spectral density) using the advantage of Plotly package.
Accurate predictions for the clustering of galaxies in redshift-space in Python
Estimators and data for window-free analysis of power spectra and bispectra
Statistical Digital Signal Processing and Modeling
LabSpec: rezonans stochastyczny
A simple delay-space power spectrum estimator with proper cosmological normalization.
velocity.py reads in GROMACS trr trajectory (that inclides velocity information) and calculates center of mass translational velocity and angular velocity. It also computes translational and rotational kinetic energies, temperatures, velocity autocorrelation functions and power spectra
Python library for interstellar medium (ISM) analysis.
Code to emulate galaxy power spectrum multipoles predicted by EFT
A code to calculate velocity power spectra over large dynamical ranges.
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