TobiBu
Group leader in computational astrophysics and machine learning at IWR Heidelberg. topic: galaxy formation
HeidelbergGermany
Pinned Repositories
chatter
Implementierung der chatter App
chemical_enrichment
Chempy
Start with the Chempy tutorial
cv
Rodrigo's autogenerated CV
diffeq
Accompanying Notes on a Seminar Talk on Numerically Solving (Stiff) Differential Equations
graddays
lecture material for the 53rd Heidelberg Graduate Days
GSE_merger
manuscript repository for GSE merger analysis of the NIHAO_UHD simulations
Motorization
Code for Raspberry Car Interface
picassso
Machine learning and image analysis framework for python 2 and 3
POV
POV GLOBE
TobiBu's Repositories
TobiBu/picassso
Machine learning and image analysis framework for python 2 and 3
TobiBu/graddays
lecture material for the 53rd Heidelberg Graduate Days
TobiBu/GSE_merger
manuscript repository for GSE merger analysis of the NIHAO_UHD simulations
TobiBu/Motorization
Code for Raspberry Car Interface
TobiBu/POV
POV GLOBE
TobiBu/chatter
Implementierung der chatter App
TobiBu/chemical_enrichment
TobiBu/Chempy
Start with the Chempy tutorial
TobiBu/cv
Rodrigo's autogenerated CV
TobiBu/diffeq
Accompanying Notes on a Seminar Talk on Numerically Solving (Stiff) Differential Equations
TobiBu/eigengalaxies
Eigengalaxies: describing galaxy morphology using principal components in image space
TobiBu/healpix_util
Some python tools to work with healpix
TobiBu/ISM_subgrid_clumping
This repository contains a jupyter notebook and data for the statistical subgrid clumping model presented in Buck et al. 2021b. Section "Theoretical model" contains the equations to calculate the cloud scale covering fraction as derived in section 2 and 3 of Buck et al. 2021. We accompany this with a little example how to sample valid clumping factors for a given ISM density following Fig. 4 of Buck et al. 2021. With this it should be straight forward to employ this model. Additionally it contains the plotting routines to recreate all figures from that paper. If you are using this model or parts of the code or data provided with jupyter notebook wekindly ask youto cite the corresponding paper as well as acknowledging the original source of the simulation data, the SILCC project (Walch et al. 2015, http://silcc.mpa-garching.mpg.de)
TobiBu/MLHaloFinder
TobiBu/ParticleGridMapper.jl
TobiBu/picasso_training
TobiBu/PlotNeuralNet
Latex code for making neural networks diagrams
TobiBu/publication_list
TobiBu/pynbody
N-body and hydro analysis tools for Python 3. (Older versions support Python 2.)
TobiBu/Reactable
modular synthesizer
TobiBu/resunet-cmb
Code repository for the implementation of the ResUNet-CMB network from "Reconstructing Patchy Reionization with Deep Learning" (https://arxiv.org/abs/2101.01214) and "Reconstructing Cosmic Polarization Rotation with ResUNet-CMB" (https://arxiv.org/abs/2109.09715)
TobiBu/SciML-Seminar
Repository of my seminar talk about variational autoencoders (VAE) in January 2024.
TobiBu/so-simple-theme
A simple and clean responsive Jekyll theme for words and photos.
TobiBu/starform_models
Article repository for the paper on star formation models in cosmological simulations.
TobiBu/sunpy
Module for opening, manipulating, and plotting mock galaxy images produced with SUNRISE
TobiBu/tangos
The Agile Numerical Galaxy Organisation System
TobiBu/test_syw
some test repo
TobiBu/TobiBu.github.io
TobiBu/vegapy
VEGAPy: A Virtual Exposure Generator for Astronomy in Python