Jan Rybizki (jan-rybizki)

jan-rybizki

Geek Repo

Company:Institut für angewandte Bauforschung Weimar

Location:Weimar

Home Page:https://www.iab-weimar.de/

Twitter:@rybizki

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Jan Rybizki's repositories

Chempy

Start with the Chempy tutorial

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gdr2_completeness

This package helps with downloading GaiaDR2 data and gives approximate completeness maps over the sky and per G magntude bin. It also has a function to query the GDR2 RVS sample selection function.

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Business_trips_carbon_footprint

A calculator that can produce CO2 emissions from a list of travel destinations

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Galaxia_wrap

A few python scripts and a tutorial notebook to create and manipulate Galaxia mock catalogues

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Gaia_data_analysis_HGSFP2018

The course material for the HGSFP graduate days (October 2018)

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Gaia_Summerschool_2019

A talk on GaiaDR2 selection function and a talk and hands-on exercise on Bayesian distance inference to stellar clusters

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isochrone_fitting_example

We illustrate the usage of a forward model using the latest parsec isochrones with emcee to infer stellar parameters for single and binary stars

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Parameter_inference_field_stars

A little tutorial how to infer astrophysical parameters using the isochrone package

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astronomy_talks

Talks that I gave.

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CMDprior

These jupyter notebooks lay out how to simply generate priors using the GDR2mock catalogue and they also help to get a quick interface with some isochrone fitting packages

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dustmaps

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

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elemental-basis

what is the set of basis vectors for stellar abundance space?

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jan-rybizki.github.io

Website when I used to be an astronomy postdoc at MPIA

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life_screening_with_few_tests

How could we test the true covid19 contamination with limited test capacity

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mwdust

Dust in the Milky Way

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query_gaia_in_chunks

How to easily make LARGE queries on the Gaia Archive

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talks_construction_science_meets_AI

Talks on the topic of applied construction science

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tensorflow

An Open Source Machine Learning Framework for Everyone

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