Explore projects

Lithium abundance fitting functions

PLATYPOS - PLAneTarY PhOtoevaporation Simulator

repository for the photometric pipeline of the STELLA/WiFSIP telescope

try to build my own image

The test instance of daiquiri

Notebooks and related for the ML workshop at DESY

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

The docker related project for the pipeline

the pipeline repo for the ml_solar_plate project

orchest repo from ml_solar_plates

Bash script to download the budget information from https://klr.aip.de.

First demo for NFDI-PUNCH4 TA4

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

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

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

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).