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Heidelberg, Germany

Gregory Green

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@gregreen

Sofia Kovalevskaya Group Leader at the Max Planck Institute for Astronomy. Former postdoc at KIPAC, Stanford. PhD in Astronomy and Astrophysics from Harvard.

dustmaps. A uniform interface for a number of 2D and 3D maps of interstellar dust reddening/extinction.

82

deep-potential. Deep learning for gravitational potentials, based on well-mixed tracers in phase space.

12

bayestar. Bayesian photometric parallax. Infers distances, reddenings, stellar types, and line-of-sight extinction profiles.

4

smoothsort. Implementation of Edsger Dijkstra's smoothsort algorithm, which has O(NlogN) worst-case and O(N) best-case runtime, with O(1) overhead.

4

heidelberg_grad_days_47. Bayesian Inference on Milky Way Datasets

2

legacyviewer_tools. Tools for working with the Legacy Survey Sky Browser.

2

highlat-dust-gp. High-Galactic-latitude 2D dust map using Gaussian Processes.

2

green2020-stellar-model. Data-driven model of stellar photometry, as described in Green+(2020).

2

webgl-volumerender. Volume rendering of a 3D dust map using WebGL fragment shaders.

2

galstar. Bayesian inference of stellar parameters

2

git-cheatsheet. Git Cheatsheet

2

arxiv_recommender. Recommendation system for arXiv papers.

2

data-driven-stars. Data-driven stellar spectral energy distributions.

1

dataverse_utils. Utilities for interacting with the Dataverse.

1

stellar-locus-fitter. Simple stellar-locus fitter in color-color space.

1

hybrid-mc. Hybrid Monte Carlo implementation

1

astrotune. Bringing stellar parameter catalogs into harmony.

1