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Peter Scicluna's Projects

artefact icon 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 icon astropy

Repository for the Astropy core package

bhmie icon bhmie

Wrapper program for the dust scattering property calculation code by C.F. Bohren and D. Huffman

graingrowthinpostagbs icon 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 icon gramsfit

Code to fit GRAMS models to AGB/RSG candidates

introtomcmc icon introtomcmc

A small repo containing some resources for learning MCMC. Originally used to teach MCMC to graduate students at ESO.

miepython icon miepython

Mie scattering of light off perfect spheres in python

optool icon optool

Command-line driven tool to create dust opacities

photutils icon photutils

Astropy package for source detection and photometry. Maintainers: @larrybradley and @bsipocz

precision icon 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.

pts9 icon pts9

PTS -- Python toolkit for working with SKIRT version 9

pybaycor icon pybaycor

A tool for estimating Bayesian correlation coefficients with python

quicksed icon quicksed

Quickly create SEDs using (modified) blackbodies.

skirt9 icon skirt9

SKIRT version 9 -- advanced radiative transfer in dusty systems

spectres icon spectres

SpectRes is a Python module which efficiently resamples spectra and their associated uncertainties onto an arbitrary wavelength grid. Read the documentation at

ssp_stats icon ssp_stats

Notes, example data and script for a tutorial on basic statistics given to students at the ASIAA summer program 2017

zeus icon zeus

⚡️ zeus: Lightning Fast MCMC ⚡️

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