Poster + Paper
29 August 2022 The TolTEC camera: the citlali data reduction pipeline engine
Author Affiliations +
Conference Poster
Abstract
TolTEC is an imaging polarimeter installed on the Large Millimeter Telescope that simultaneously images the sky at 1.1, 1.4, and 2.0 mm. We have developed the open-source, fully parallelized C++ data reduction pipeline, citlali, to process TolTEC’s raw time-ordered data for science and calibration observations into on-sky maps, while also performing map coaddition and post-map-making analyses. Here, we describe citlali’s structure, including its reduction stages, algorithms, and parallelization scheme. We also present the results of the application of citlali to both TolTEC commissioning data and synthetic observations, characterizing the resulting map properties, as well as the software performance and memory usage.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael McCrackan, Zhiyuan Ma, Nat S. DeNigris, Caleigh Ryan, Kamal Souccar, Grant W. Wilson, Itziar Aretxaga, Akanksha Bij, Laura Fissel, Joseph E. Golec, Robert Gutermuth, Dennis Lee, Giles Novak, Felix Thiel, Samantha Walker, and Javier Zaragoza-Cardiel "The TolTEC camera: the citlali data reduction pipeline engine", Proc. SPIE 12189, Software and Cyberinfrastructure for Astronomy VII, 121891H (29 August 2022); https://doi.org/10.1117/12.2629095
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KEYWORDS
Sensors

Calibration

Telescopes

Data modeling

Detection and tracking algorithms

Data processing

Cameras

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