Labeled Latent Dirichlet Allocation model implementation for spectral line classification on ALMA Astronomy Datacubes
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Updated
Dec 11, 2019 - TSQL
Labeled Latent Dirichlet Allocation model implementation for spectral line classification on ALMA Astronomy Datacubes
This is the start of a major spectroscopy absorption and emission data base. These are going to be all of my spectral and lab data files from all my experiments from my spectrometer prototypes from Hackaday.com
Robishaw/Heiles SToKes IDL package to process single-dish spectropolarimetric radio astronomical data.
Repository of line spectra estimators used in the published article "Real-time sinusoidal parameter estimation for damage growth monitoring during ultrasonic very high cycle fatigue tests".
Deep learning for the automated spectral classification of supernovae
Friendly user interface to estimate vsini, using high resolution spectra, based on Fourier's method.
Python library to create interactive 3D visualisations of astrophysical spectral line data.
Bayesian model reconstruction based on astronomical spectral line observations.
Nested sampling of pyspeckit models with PyMultiNest.
Bayesian spectral decomposition and model fitting using Nested Sampling
Galaxy Line Emission & Absorption Modeling
A Python Spectral Typing Suite
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