The TolTEC data analysis pipeline and software stack

Zhiyuan Ma; Michael McCrackan; N. S. DeNigris; Kamal Souccar; Grant W. Wilson; Paul Horton; Dennis Lee; Philip Mauskopf; Giles Novak; Iván Rodríguez-Montoya; Javier Zaragoza-Cardiel

doi:10.1117/12.2560735

13 December 2020 The TolTEC data analysis pipeline and software stack

Zhiyuan Ma, Michael McCrackan, N. S. DeNigris, Kamal Souccar, Grant W. Wilson, Paul Horton, Dennis Lee, Philip Mauskopf, Giles Novak, Iván Rodríguez-Montoya, Javier Zaragoza-Cardiel

Author Affiliations +

Proceedings Volume 11452, Software and Cyberinfrastructure for Astronomy VI; 114522O (2020) https://doi.org/10.1117/12.2560735
Event: SPIE Astronomical Telescopes + Instrumentation, 2020, Online Only

Conference Poster

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.

Citation Download Citation

Zhiyuan Ma, Michael McCrackan, N. S. DeNigris, Kamal Souccar, Grant W. Wilson, Paul Horton, Dennis Lee, Philip Mauskopf, Giles Novak, Iván Rodríguez-Montoya, and Javier Zaragoza-Cardiel "The TolTEC data analysis pipeline and software stack", Proc. SPIE 11452, Software and Cyberinfrastructure for Astronomy VI, 114522O (13 December 2020); https://doi.org/10.1117/12.2560735

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available