Stars
The ASCOM Platform implements the ASCOM interface standards and provides development and runtime components to ease driver and application development.
Python library for calculating contours in 2D quadrilateral grids
A Fast and Nimble Package for Time Domain Astronomy
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
mshemuni / myrafproject
Forked from myrafproject/myrafprojectAn Easy GUI for Photometry: MYRaf Project 3.0!
We illustrate the usage of a forward model using the latest parsec isochrones with emcee to infer stellar parameters for single and binary stars
lwang-astro / amuse
Forked from amusecode/amuseAstrophysical Multipurpose Software Environment. This is the main repository for AMUSE
lwang-astro / galpy
Forked from jobovy/galpyGalactic Dynamics in python
PeTar is a high-performance N-body code for modelling the evolution of star clusters and tidal streams, including the effect of galactic potential, dynamics of binary and hierarchical system, singl…
Python adaptation of Yury Petrov's MATLAB "ellipsoid_fit" function
TESS FFI light curves fitted with effective PSF and decontaminated with Gaia DR3
Pick a TIC number and obtain a reduced light curve for all TESS sectors available along with diagnostic plots about the reduction.
A python program to correct differential reddening
Reddening and differential reddening in open clusters
Pick a TIC number and obtain a reduced light curve for all TESS sectors available along with diagnostic plots about the reduction.
A python package for modeling and analysing transit light-curves.
Wrapper of matplotlib's GridSpec module which allows for the easy spawning of several different of configurations of square plots of varying sizes.
Python library to easily create and manipulate MOCs (Multi-Order Coverage maps)
ObserPy is an astronomical obbservation planning program that developed with Python
Modeling stellar photometry with "brute force" methods
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences