GitLab

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

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

Compare input objects against catalogues, extract data and create PDF

Bibtex files for useful surveys and other things

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

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

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.

the extract features steps: this step uses the threshold method to identify pixels that may be part of a sunspots

First demo for NFDI-PUNCH4 TA4

Excel Table

orchest repo from ml_solar_plates

A machine learning library to detect solar spots on APPLAUSE solar plates: https://www.plate-archive.org/applause/

the pipeline repo for the ml_solar_plate project