PLANCK Data Stream Merge

The PLANCK data stream merge is the responsibility of the DPC (Data Processing Center) and is composed of several parts.

Primary telemetry data from the decompressed Planck telemetry stream from FINDAS.

this is the time-ordered science and housekeeping as well as spacecraft data on the primary data stream

PLANCK satellite data from additional sources

Additional telemetered data
Mission Planning data such as spacecraft position and orbit parameters
...

ANCILLARY DATA Sets

Data from ground-based observations
Astronomical Data bases
Information determined from previous flight data

Instrument State

Some information may not be included in the information status but is known from operations history
calibration information

Attitude Reconstruction

Attitude reconstruction is such a significant task that it should be listed, verified, and validated separately from the rest of the data steam merge
algortithm for reconstruction and software
acceptance of pointing updates -

how to signify pointing reconstruction solution?
And how many passes through the data?
Can we find a method that allows pointing solution from data stream just prior to use?
solution verification and accuracy? stability?
how many sources provide/require pointing accuracy to level x?

Monitor observation plan and sky coverage, perform analysis to determine if corrections are necessary or improvements can be made

The bulk of these data merge tasks are most appropriate for computer science and data handling specialists. The primary points of interactions with the LFI science team is in defining what kinds of data are needed for the science data streams and anything siphoned off for further quick-look, real-time, monitoring, and quality checking and any special investigations of performance. It is likely that the data volume is sufficiently large that the data will be separated into relevant streams by special software for long term trending and investigations, espeically those that need the merged data stream.