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.
TolTEC is a new camera that will shortly be mounted on the Large Millimeter Telescope (LMT). It provides simultaneous, polarization-sensitive imaging at wavelengths of 1.1, 1.4 and 2.0 mm through its 7718 Lumped element Kinetic Inductance Detectors (KIDs). The TolTEC data analysis software stack, TolTECA, has been developed to facilitate the data analysis tasks, producing science-ready data products for both the TolTEC legacy surveys and for future principal investigator projects. The software stack consists of a high performance fully parallelized C++ data reduction pipeline engine citlali, and an infrastructural Python package tolteca, which works at the highest level, with many notable features including data product management, a web-based data visualization framework, timely analysis and quick-look tools for on-site observing, and a TolTEC observation simulator.
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