Peter Scicluna's repositories
precision
A python pipeline to reduce astronomical IR imaging data. Written with SPHERE data in mind, it provides a fast and easy reduction of bright sources suitable for science. While it may not extract the absolute maximum amount of science, the objective is to provide a means to get science-ready data with minimal computing time or human interaction. Development is ongoing.
2022_contributing_to_open_source
Tutorial repository for PRs and code review
AdventOfCode2023
A repository for AoC 2023!
artefact
This is a small piece of code to calculate the dust emission from a dust disc around a star in the optically thin limit.
astropy
Repository for the Astropy core package
dust_extinction
Astronomical Dust Extinction
GrainGrowthInPostAGBs
Scripts to reproduce the analysis presenting in "Rapid Grain Growth in Post-AGB isc systems from far-infrared and sub-millimetre photometry" by Peter Scicluna et al., submitted to MNRAS
gramsfit
Code to fit GRAMS models to AGB/RSG candidates
IntroToBayes
A short introduction to Bayes theorem.
IntroToMCMC
A small repo containing some resources for learning MCMC. Originally used to teach MCMC to graduate students at ESO.
KDE-diffusion
Kernel density estimation via diffusion in 1d and 2d.
miepython
Mie scattering of light off perfect spheres in python
optool
Command-line driven tool to create dust opacities
photutils
Astropy package for source detection and photometry. Maintainers: @larrybradley and @bsipocz
PTS9
PTS -- Python toolkit for working with SKIRT version 9
QuickSED
Quickly create SEDs using (modified) blackbodies.
SKIRT9
SKIRT version 9 -- advanced radiative transfer in dusty systems
zeus
⚡️ zeus: Lightning Fast MCMC ⚡️