A pure Python code for working with radial velocities of stars with a massive companion.

Query images and catalogues of Faint Images of the Radio Sky at Twenty-Centimeters (FIRST).

Different utilities for astronomy or time series analysis

Code used to create orbital visualizations for Brock Mentorship Research Co-op Program

Masks a data artefact w.r.t to celestial coords and a Mangle polygon file.

AstroThings mainly contains python scripts and functions concerning Astrophysics. Some topics are based on examples taken from the astropy mailing list, once they are tested, re-written, automated, improved and usually also parametrized and encapsulated into functions.

Obtém dados de espectro de emissão dos elementos da base do NIST Atomic Spectra Database.

Fit a modified black body (grey body) to mid-infrared red astronomical data

Gravitational Wave Analysis using Auto Differentiation with JAX

A repository to execute image cutouts with SODA from a container integrated in CANFAR

Cosmology Evolution Calculator with Graphical User Interface

Python library for interactions with the IllustrisTNG simulation suite.

A focus on the relationships between stellar characteristics, their classification, and the properties of their orbiting planets.

Planet Simulations for Introduction to Astrophysics PEP 336

Democratising Archival X-ray Astronomy (DAXA) is an easy-to-use Python module for downloading multi-mission X-ray telescope data and processing it into usable archives. Users can acquire entire archives, or filter observations based on ID/positions/time. Supports XMM; partial support eROSITA, Chandra, NuSTAR, Swift, Suzaku, ASCA, ROSAT, INTEGRAL

Astrophysics Tools in Python As An Unofficial Companion To "An Introduction to Modern Astrophysics by Dale A. Ostlie and Bradley W. Carroll"

A non-parametric moving median algorithm for detrending time series photometry from the Transiting Exoplanet Survey Satellite or Kepler datasets

Universidad Nacional de Colombia

Galaxy bulge-disc decomposition scheme using galfit used for the PHIBSS program (Freundlich et al. 2019).