Kanzelh\"ohe Observatory: instruments, data processing and data products

TL;DR

This paper details the instruments, data processing steps, and data products of Kanzelhöhe Observatory, emphasizing quality classification, image correction, and data accessibility over nearly seven decades of solar observations.

Contribution

It provides a comprehensive description of the data processing pipeline and data products for solar observations at Kanzelhöhe Observatory, including quality assessment and correction methods.

Findings

Detailed processing steps from raw data to high-level products

Methods for quality classification and intensity correction

Accessible data products with comprehensive documentation

Abstract

Kanzelh\"ohe Observatory for Solar and Environmental Research (KSO) of the University of Graz (Austria) is in continuous operation since its foundation in 1943. Since the beginning its main task was the regular observation of the Sun in full disc. In this long time span covering almost seven solar cycles, a substantial amount of data was collected, which is made available online. In this paper we describe the separate processing steps from data acquisition to high level products for the different observing wavelengths. First of all we work out in detail the quality classification, which is important for further processing of the raw images. We show how we construct centre-to-limb variation (CLV) profiles and how we remove large scale intensity variations produced by the telescope optics in order to get images with uniform intensity and contrast. Another important point is an overview of the different data products from raw images to high contrast images with heliographic grids overlaid. As the data products are accessible via different sources we also present how to get information about the availability and how to obtain these data. Finally, in an appendix, we describe in detail the information in the FITS headers, the file naming and the data hierarchy.