astrockragh

Mangrove

Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.

GRB_TSNE

Using t-SNE to classify GRBs from the Swift catalogue, https://arxiv.org/pdf/2005.13554.pdf

computational_astrophysics

For Haugbølle computational astrophysics course

cosmic_variance

CV_windows

Cosmic Variance Notebooks/Python in cosmic_variance

halo-gnns

Estimating galaxy-halo properties using graph neural networks

RAGNAR

RAGNAR, the Resolution Adaptive Generator of Nocturnal Airglow Radiation, creates line lists of sky emission lines with unprecedented accuracy for wavelength calibration of spectrographs and for robust atmospheric study.

astrockragh.github.io

My website

galevo23-tutorials

Tutorials for the KITP Galevo23 program

hugo-academic

IceCube

Collection of ML methods to analyze and reconstruct particle paths

pyCV

Python package based on the IDL code released with the Cosmic Variance Cookbook of Moster et al. (2010)

COSMOS

All the weird stuff I've done to get to help with COSMOS

starter-hugo-academic

🎓 Hugo Academic Theme 创建一个学术网站. Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify.

troels_projekt

PUK