Data reduction methods for a microcalorimeter sounding rocket flight

Computer Science – Sound

Scientific paper

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Mathematical Procedures And Computer Techniques, Data Analysis: Algorithms And Implementation, Data Management

Scientific paper

Using a microcalorimeter detector on a sounding rocket experiment creates difficulties in the data analysis that are not normally encountered on the ground or on satellite-based experiments. In analyzing the data obtained from two recent sounding rocket flights that employed microcalorimeter detectors, we have developed procedures for reducing the raw data to a data set suitable for astrophysical analysis. The data acquired from the instrument include fully sampled digitized waveforms for each X-ray event plus ``quick-look'' X-ray pulse heights from an on-board analog pulse shaping circuit, and large quantities of housekeeping information. In the post-flight data analysis we first characterize the events, then the X-ray waveforms from each pixel are digitally filtered, gain-drift corrected, and an energy scale is applied before combining the events into a single spectrum. Our final product is a set of events that are with high probability produced by cosmic X-ray photons and are well-characterized and free from systematic biases. In this paper, we discuss our procedures and algorithms and the difficulties that we encountered in the data reduction. .

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