Poster + Presentation + Paper
13 December 2020 On-the-fly data pipeline for image processing enabling real-time persistence correction
Author Affiliations +
Conference Poster
Abstract
In this paper, we present our concept of an on-the-fly image processing pipeline for ground-based telescopes. Our focus lies on the correction of undesired but unavoidable detector effects like persistence. State of the art systems like ESO’s NGC perform operation of detectors and acquisition of science data. Instrument operators monitor the science data stream during measurement. Detector issues like persistence worsen the image quality and impair the inspection tasks. To overcome these difficulties, we develop the real-time data processing system EIDAS (Enhanced Infrared Detector Acquisition System) as an add-on to the NGC. Therewith, detector effects in the raw image stream are corrected on-the-fly and astronomical objects are visualized more clearly for direct inspections. EIDAS accompanies CPU, FPGA and GPU as well as algorithms optimized for this hardware architecture. The system is designed generically, matching various types of detectors and their respective science data output
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christopher Mandla, Muhammad Subhan Hameed, Viseslav Aracic, Sabine Ott, Markus Plattner, Andreas Herkersdorf, and Thomas Wild "On-the-fly data pipeline for image processing enabling real-time persistence correction", Proc. SPIE 11454, X-Ray, Optical, and Infrared Detectors for Astronomy IX, 114542V (13 December 2020); https://doi.org/10.1117/12.2560641
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KEYWORDS
Sensors

Data processing

Image processing

CMOS sensors

Infrared sensors

Data modeling

Infrared detectors

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