What Data Can I Work With?

ACISpy uses the Ska Python tools to work with data from the engineering archive and the commanded states database. It can also work with predicted quantities from thermal models and tracelog files produced by tools such as ACORN or the MIT tools.

This page gives a broad outline of what ACIS-related data ACISpy can work with. To learn the specific ways of loading and plotting the data, consult Loading Data in Python and Plotting numpy arrays as images.

Commanded States

Commanded states (such as pitch angle, roll, obsid, CCD count, etc.) can be loaded from the commanded states database or from thermal model predictions. A list of the commanded states understood by ACISpy can be found here.

MSIDs

These consist of engineering telemetry from the start of the mission. The ones most relevant to ACIS operations can be found on the real-time telemetry pages, such as the real-time page on acis60-v.

Pseudo-MSIDs

These are quantities that are not part of the engineering telemetry stream but are nevertheless important to ACIS operations, primarily the ACIS DEA housekeeping data. A list of the quantities stored in the Ska archive and understood by ACISpy can be found here.

Model Components

ACISpy can also work with predicted model data for specific temperature components, found here.