Galaxy Line Emission & Absorption Modeling
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Updated
Jul 5, 2023 - Python
Galaxy Line Emission & Absorption Modeling
Astrarium — open-source planetarium software for Windows
The most comprehensive collection of accurate astronomical algorithms in JavaScript (TypeScript).
A Python package for manipulating and correcting variable point spread functions. Maintainer: @jmbhughes
Real time meteor detection by deep learning
SEDBYS: A python-based SED Builder for Young Stars. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021000327
Toolset for planning and triggering observations with ZTF, the Zwicky Transient Facility.
The Naval Observatory NOVAS C astrometry library, made better
A testbed for stellar granulation in exoplanet RV searches.
A python DS9 extension for quicklook processing of astronomical images. This highly interactive extension can be generalized automatically to a set of images to turn the plug-in into a real multi-processing pipeline.
Bundle of Python scripts to process and plot the data from MADCUBA
Bayesian model reconstruction based on astronomical spectral line observations.
Nakshatra along with Ingenium presents a problem statement on Astronomical Data Analysis. This repository contains the necessary FITS files for the problem statement
Multimodal Estimation Routine for the Cosmological Unravelling of Rest-frame Infrared Uniformised Spectra (MERCURIUS) uses the pymultinest package (Feroz et al. 2009; Buchner et al. 2014) to fit and plot greybody spectra given far-infrared (FIR) photometry of an object.
SUPPNet: Neural network for stellar spectrum normalisation
RADEX line fitter in Python
A web application for exploring the True Field of View of celestial objects based on different astronomy setups (telescopes, cameras, and eyepieces).
pySAS is a python wrapper for the Science Analysis Software (SAS) used for analyzing XMM-Newton data. This repository is maintained by the XMM-Newton Guest Observer Facility (GOF) at Goddard Space Flight Center for testing new pySAS functionality.
DIY dew heater bands controller
SDO Data Analysis for CLV
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