gregreen
Sofia Kovalevskaya Group Leader at the Max Planck Institute for Astronomy. Former postdoc at KIPAC, Stanford. PhD in Astronomy and Astrophysics from Harvard.
Max Planck Institute for AstronomyHeidelberg, Germany
Pinned Repositories
bayestar
Bayesian photometric parallax. Infers distances, reddenings, stellar types, and line-of-sight extinction profiles.
deep-potential
Deep learning for gravitational potentials, based on well-mixed tracers in phase space.
dustmaps
A uniform interface for a number of 2D and 3D maps of interstellar dust reddening/extinction.
galstar
Bayesian inference of stellar parameters
git-cheatsheet
Git Cheatsheet
green2020-stellar-model
Data-driven model of stellar photometry, as described in Green+(2020).
heidelberg_grad_days_47
Bayesian Inference on Milky Way Datasets
highlat-dust-gp
High-Galactic-latitude 2D dust map using Gaussian Processes.
legacyviewer_tools
Tools for working with the Legacy Survey Sky Browser.
smoothsort
Implementation of Edsger Dijkstra's smoothsort algorithm, which has O(NlogN) worst-case and O(N) best-case runtime, with O(1) overhead.
gregreen's Repositories
gregreen/dustmaps
A uniform interface for a number of 2D and 3D maps of interstellar dust reddening/extinction.
gregreen/deep-potential
Deep learning for gravitational potentials, based on well-mixed tracers in phase space.
gregreen/bayestar
Bayesian photometric parallax. Infers distances, reddenings, stellar types, and line-of-sight extinction profiles.
gregreen/green2020-stellar-model
Data-driven model of stellar photometry, as described in Green+(2020).
gregreen/heidelberg_grad_days_47
Bayesian Inference on Milky Way Datasets
gregreen/highlat-dust-gp
High-Galactic-latitude 2D dust map using Gaussian Processes.
gregreen/legacyviewer_tools
Tools for working with the Legacy Survey Sky Browser.
gregreen/webgl-volumerender
Volume rendering of a 3D dust map using WebGL fragment shaders.
gregreen/data-driven-stars
Data-driven stellar spectral energy distributions.
gregreen/dataverse_utils
Utilities for interacting with the Dataverse.
gregreen/gaia_XP_forward_model
Forward model of the Gaia XP spectra, learned directly from the data.
gregreen/anki_tools
Various small tools to use alongside Anki.
gregreen/bridging-sampler
Combinatorial space sampler using bridging, based on Lin & Fisher (2012).
gregreen/crossmatching
Simple divide-and-conquer algorithm for crossmatching catalogs, using a HEALPix partitioning of the sky.
gregreen/decam
simple decam observation planner (borrowing heavily from A. Patej's nightlystrategy.py)
gregreen/dust_proj_simple
Simple 2D projection code for a Bayestar-like 3D dust map.
gregreen/hydrostar
A dust map based on HI column densities and stellar reddenings.
gregreen/keras-preprocessing
Utilities for working with image data, text data, and sequence data.
gregreen/LRUCache
Header-only C++ implementation of a least-recently-used cache.
gregreen/lsd
Large Survey Database
gregreen/map3d
Website for the Bayestar 3D dust map.
gregreen/merge_coordinates
Automatically merge coordinate systems of different spectroscopic stellar parameter catalogs.
gregreen/neural_ode_dust3d
3D dust mapping, using neural ODEs to integrate line-of-sight dust.
gregreen/observesim
gregreen/presentations
Various presentations.
gregreen/probability
Probabilistic reasoning and statistical analysis in TensorFlow
gregreen/raytracer
Numpy ray-tracing engine for rendering 3D scenes.
gregreen/RM_applications
Example code for Soumavo and Greg how to use RoadMapping.
gregreen/RoadMapping
gregreen/roboscheduler