the CLI of the KuFAIR project

Compare input objects against catalogues, extract data and create PDF

This is a set of python3 scripts that allows you to create light curves for a table of coordinates. Supported light curves are: eROSITA, ATLAS, WISE, ZTF-CRTS, XMM-ULS, XMM-ULS + eROSITA.

A python3 class to create eROSITA eRASS images with a variable angle and pixel size.

Post-commit hook for SVN to post a comment to the proper Jira.

Bibtex files for useful surveys and other things

This docker container is used to serve the gaia.aip.de for 2022 EDR3

A java implementation of the FITS 3.0 standard

Webapp for online elections at AIP

Adaptive mesh refinement computer code for chemo-gravito-magneto-gasdynamical simulations in astrophysics

The single repo pipeline of the ML solar plate project. Compatible with KuFAIR

A test to explore data with a web terminal

Moving files aroung grafana and draio and cloud.aip.de

This is an example repo for kufair: https://gitlab.aip.de/kufair/kufair

A REST API to submit ArchDescr and Generate Archives

The modern pipeline code (prototype). Provide a config file, it builds the pipeline, setups a traceable environment, and run the pipeline on a K8s cluster (assuming access to some PV).

The extract-features-properties step: in this step we compute the geometrical/morphological properties of each meaningful features

The select-meaningful-features step: in this step we set the meaningfulness of each plates, and of each feature

the label-features step: in this step the pixels that may be part of a sunspots are grouped in regions and each region is labeled as a feature, the number of feature per plate is computed on the fly.