A new HDF5 based raw data model for CCAT
Reinhold Schaaf (1), Adam Brazier (2), Tim Jenness (2), Thomas Nikola, (2), Martin Shepherd (3) ((1) Universit\"at Bonn, (2) Cornell University, (3), California Institute of Technology)
TL;DR
This paper introduces a new HDF5-based raw data model designed for CCAT, a large sub-millimeter telescope, capable of handling high data rates and supporting diverse instrumentation.
Contribution
It presents a novel raw data model based on HDF5 that accommodates high data rates and multiple instrument types for CCAT.
Findings
Supports data rates of order Gbit/s
Flexible to hold raw data from various instruments
Designed for diverse instrumentation compatibility
Abstract
CCAT will be a large sub-millimeter telescope to be built near the ALMA site in northern Chile. The telescope must support a varied set of instrumentation including large format KID cameras, a large heterodyne array and a KID-based direct detection multi-object spectrometer. We are developing a new raw data model based on HDF5 that can cope with the expected data rates of order Gbit/s and is flexible enough to hold raw data from all planned instruments.
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Taxonomy
TopicsAstronomy and Astrophysical Research · Adaptive optics and wavefront sensing · Stellar, planetary, and galactic studies