The SMEI real-time data pipeline: from raw CCD frames to photometrically accurate full-sky maps

Details The SMEI real-time data pipeline: from raw CCD frames to photometrically accurate full-sky maps The SMEI real-time data pipeline: from raw CCD frames to photometrically accurate full-sky maps

Aug 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005spie.5901..340h&link_type=abstract

Solar Physics and Space Weather Instrumentation. Edited by Fineschi, Silvano; Viereck, Rodney A. Proceedings of the SPIE, Volume

Physics

4

Scientific paper

The Solar Mass Ejection Imager (SMEI) records a photometric white-light response of the interplanetary medium from Earth orbit over most of the sky. We present the techniques required to process the SMEI data in near real time from the raw CCD images to their final assembly into photometrically accurate maps of the sky brightness of Thomson scattered sunlight. Steps in the SMEI data processing include: integration of new data into the SMEI data base; conditioning to remove from the raw CCD images an electronic offset (pedestal) and a temperature-dependent dark current pattern; placement ("indexing") of the CCD images onto a high-resolution sidereal grid using known spacecraft pointing information. During the indexing the bulk of high-energy-particle hits (cosmic rays), space debris inside the field of view, and pixels with a sudden state change ("flipper pixels") are identified. Once the high-resolution grid is produced, it is reformatted to a lower-resolution set of sidereal maps of sky brightness. From these we remove bright stars, background stars, and a zodiacal cloud model (their brightnesses are retained as additional data products). The final maps can be represented in any convenient sky coordinate system, e.g., Sun-centered Hammer-Aitoff or "fisheye" projections. Time series at selected sidereal locations are extracted and processed further to remove aurorae, variable stars and other unwanted signals. These time series of the heliospheric Thomson scattering brightness (with a long-term base removed) are used in 3D tomographic reconstructions.

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