tdejaeger

AUP_2024

Astronomy

Useful Python codes for photometric or spectroscopic studies. Notebook to measure the Universe expansion using a hierarchical Bayesian approach

55_SNeII_LC_SPEC_BERKELEY

Compilation of BVRI-clear light curves of 55 type II supernovae observed using Kait and Nickel telescopes between 2006 and 2018. Compilation of 150 spectra obtained using Shane and Keck telescopes

LOSSPhotPypeline

Lick Observatory Supernova Search Photometry Pipeline

Machine_learning

Different machine learning programs written in Python: linear regression, clustering, outlier detection using unsupervised and supervised algorithms

Publications

PDF of all my publications as first author and a list of the other publication (tex files)

python-seminar

Python for Data Science (Seminar Course at UC Berkeley; AY 250)

PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

SNe_II_DES

Type II supernovae data release from the Dark Energy Survey (2013–2018)