13 skills found
multiwavelength / GleamGalaxy Line Emission & Absorption Modeling
SirJohnFranklin / Nist AsdBasically a class which parses the NIST Atomic Spectra Database and saves the data to a dictionary on HDD. You can pass an matplotlib.axis, and the emissions lines will be plotted with an optional normalization factor.
rwesson / ALFAAutomated Line Fitting Algorithm
cschreib / SlinefitMeasure redshifts and emission/absorption lines in 1D galaxy spectra.
DeepIGM / Dla CnnPipeline to detect Ly-alpha emission lines in the SDSS3 catalog sightlines. Uses convolutional neural networks to classify sightlines, locate DLAs, and measure column density.
rwesson / NEATEmpirical analysis of ionised nebulae, with uncertainty propagation
musevlt / PyplatefitPython package for emission and absorption lines fit of MUSE spectra
lsst-sims / Legacy Sims SkybrightnessTool to predict the background sky emission SED at an arbitrary RA, Dec, and MJD. Includes upper an lower atmosphere emission lines, airglow continuum, zodiacal light, scattered lunar light, and twilight components.
kasperschmidt / FELISFinding Emission Lines In Spectra
musevlt / OriginORIGIN: detectiOn and extRactIon of Galaxy emIssion liNes
samlaihei / PyQSpecFitPyQSpecFit: Code for modelling emission lines in QSO spectra
Cylumn / DaareThe Denoising Autoencoder for Auroral Radio Emissions (DAARE) is a tool using stacked convolutional denoising autoencoders to remove Radio Frequency Interference (RFI) commonly emerging as horizontal emission lines from time-frequency spectrograms. This tool was built to denoise Auroral Kilometric Radiation (AKR) observations from the South Pole Station.
aaorsi / Get EmlinesCompute emission lines of star-forming galaxies based on metallicity and SFR. The code results have been published in Orsi et al. 2014, but are currently used in numerous projects predicting emission-line galaxy properties
