1. The TolTEC data analysis pipeline and software stack
- Author
-
Dennis Lee, Philip Daniel Mauskopf, Kamal Souccar, Zhiyuan Ma, Iván Rodríguez-Montoya, Paul Horton, Javier Zaragoza-Cardiel, Michael McCrackan, Grant W. Wilson, Natalie DeNigris, and Giles Novak
- Subjects
Data products ,Computer science ,business.industry ,Kinetic inductance detectors ,Large Millimeter Telescope ,Python (programming language) ,Software ,Data visualization ,Analysis software ,business ,computer ,Computer hardware ,computer.programming_language ,Data reduction - Abstract
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.
- Published
- 2020