Fast & scalable MCMC for all your exoplanet needs!

Tools for mapping stars and planets.

A general photodynamical code for exoplanet light curves

De-trending of K2 Light curves

A Community Tool for Transiting Exoplanet Science with the JWST & HST

Python toolkit for calculating stellar limb darkening profiles and model-specific coefficients using the stellar atmosphere spectrum library by Husser et al. (2013). Described in Parviainen & Aigrain, MNRAS 453, 3821–3826 (2015).

Tool for Rating Interesting Candidate Exoplanets and Reliability Analysis of Transits Originating from Proximate Stars

Typescript code for illustrating mathematical, physical and astromonical problems. The applets provided here are used on my webpage for educational purposes.

K2 systematics correction using Gaussian processes

A Julia package for fast exoplanet modeling

Transmission Spectroscopy Made Easy

Exoplanet vetting

Predicting potential exoplanets in star systems using light intensity curves data derived from observations made by the NASA Kepler space telescope.

A community tool for transiting exoplanet science with JWST & HST

Kepler jump and systematics correction using Variational Bayes and shrinkage priors.

MuSCAT2 transit analysis pipeline

Maps a light curve to a transit shape.

A set of Astronomical utility functions. PANOPTES style. 🛠️ 🔭 🌠

Using multilayer perceptrons and LSTMs for detecting exoplanets in Kepler's data, applying techniques like SMOTE, Fourier transformation or Gaussian filters. Final project for my computer degree.

A deep learning framework for detecting exoplanets from stellar light curves. This project implements a hybrid CNN + BiLSTM + Attention architecture to identify planetary transit signals with high accuracy, inspired by Kepler mission data.