The main goals of ESO data quality control (QC) are:
The QC process uses data processing pipelines. These support all VLT/VLTI instruments and all major modes. More ...
The QC process is fed by the data transfer from Paranal into the archive which takes place within minutes. The calibration data are then processed incrementally at ESO Headquarters (typically once per hour). The quality information is extracted into QC1 parameters. The most important parameters are displayed graphically on the Health Check monitor. Also, their values are scored against configured thresholds, to discover anomalies. The quality scores are also displayed graphically and are evaluated both by the QC scientists and the Paranal staff astronomers.
The complete trending history of each VLT instrument is also maintained on the Health Check monitor.
The QC0 process checks that
Typically the QC0 checks are done on raw data. QC0 is entirely done by Paranal staff astronomers.
Quality Control Level 1 consists of quality checks on pipeline-processed data. Quality is measured by numbers, the QC1 parameters. Main goals of the QC1 process are
The checks are done on calibration data. Scientific usefulness cannot be assessed with this process.
The QC1 parameters are used
The result of the QC1 process is used to
The QC1 parameters are archived. They are directly available for studies through the QC1 database interface (although in many cases the trending pages may be more interesting, see below).
Trending is monitoring QC1 parameters over time (e.g. effective resolution as function of time). A core task of QC Garching is to create trending pages (also called Health Check monitor) which are used to monitor the instrument evolution and performance.
The most recent values of important QC1 parameters are scored against configured thresholds, to discover anomalies. The quality scores are also displayed graphically and are evaluated both by the QC scientists and the Paranal staff astronomers.
The UVES HC plots are available on the HC home page.
More documentation about UVES trending plots is accessible here.