Libraries to analyze numerical simulations (python3)
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Updated
Apr 28, 2024 - Cython
Libraries to analyze numerical simulations (python3)
A code to calculate velocity power spectra over large dynamical ranges.
Estimators and data for window-free analysis of power spectra and bispectra
Statistical Digital Signal Processing and Modeling
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
A simple delay-space power spectrum estimator with proper cosmological normalization.
C code for auto and cross power spectra evaluation.
Adaptive, sine-multitaper power spectral density estimation in R
Python package for early warning signals (EWS) of bifurcations in time series data.
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.
power spectra on the masked sky
Power spectrum analysis on the LCMD cosmology, using CLASS
Colored/White Guassian Noise Removal via Adaptive Thresholding in Curvelet Domain
Replication code for checking identification in nonlinear pruned DSGE models with Gaussian or Student's t distributed errors
Replication code for simulating and estimation by GMM of DSGE models with higher-order statistics
Precision Radio Interferometry Simulator (for radio astronomy applications)
This is a modified version of the L-PICOLA code extending the COLA approach for simulating cosmological structure formation to theories that exhibit scale-dependent growth. It can compute matter power-spectra (CDM and total), redshift-space multipole power-spectra P0,P2,P4 and do halofinding on the fly. It can also include the effects of massive…
Python binding allowing to retrieve audio levels by frequency bands given audio samples (power spectrum in fact), on a raspberry pi, using GPU FFT
Codes of some useful statistical quantities in astrophysics and cosmology
Εxercises for Advanced Signal Processing Methods course in Faculty of Engineering of Aristotle's University of Thessaloniki
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