The TolTEC camera: The citlali data reduction pipeline engine

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, Javier Zaragoza-Cardiel

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.

Original languageEnglish (US)
Title of host publicationSoftware and Cyberinfrastructure for Astronomy VII
EditorsJorge Ibsen, Gianluca Chiozzi
ISBN (Electronic)9781510653597
StatePublished - 2022
EventSoftware and Cyberinfrastructure for Astronomy VII 2022 - Montreal, Canada
Duration: Jul 17 2022Jul 21 2022

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


ConferenceSoftware and Cyberinfrastructure for Astronomy VII 2022


  • astronomical instrumentation
  • astronomy data analysis
  • astronomy data reduction
  • astronomy map-making
  • astronomy software
  • citlali
  • kinetic inductance detector
  • Large Millimeter Telescope
  • millimeter astronomy
  • TolTEC

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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