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XMM-Newton RGS Detector Performance Tools

XMM-Newton RGS Detector Performance Tools

Publication date: 02 May 2005

Authors: Gabriel, C., et al.

Journal: Proceedings of the Eight International Conference on Space Operations (SpaceOps 2004)
Year: 2005

Copyright: AIAA Press. Montreal

The two Reflection Grating Spectrometers on board ESA's XMM-Newton X-ray satellite are designed to perform high resolution X-ray spectroscopy in the range [0.3-2.1] keV. The most-commonly used operation mode for scientific observations with the RGS is the Spectroscopy Mode. It includes on-board thresholds, hot pixel and column rejection using look-up tables and rejection of cosmic events. In Diagnostic Mode, this on-board data processing is completely by-passed and full images of the CCDs are transferred to ground. These data are then used for dark current, system noise level calibration and hot pixel / column detection. Diagnostic images are also normally obtained during Spectroscopy observations interleaved at a low frequency. We have developed IDL based interactive tools for Diagnostic data analysis, with the main aims of establishing system noise calibration and hot pixel and columns detection, as well as for instrument health monitoring purposes. The RGS Diagnostic Tools can be run individually on single diagnostic images, but are mostly used in batch mode per revolution for populating a database. Interactive analysis and batch tools then interact with the database for parameter extraction and temporal analysis. The Tools produce also several graphical and numerical outputs, which are used on a web-based integrated system for fast diagnostic and trend monitoring. In addition IDL tools are available for the monitoring of the quality of the science data in spectroscopy mode. Data from the onboard calibration source is extracted and used to monitor the gain and contamination of the instrument. These tools build also a database to monitor long term changes in the instrument response.

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Last Update: Sep 1, 2019 9:18:06 AM
30-Nov-2020 05:33 UT

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