External environmental conditions lead to thermal deformations of the primary reflector of the 50-m diameter Large Millimeter Telescope Alfonso Serrano (LMT). This paper describes efforts to improve the night-time performance of the telescope at millimeter-wavelengths and allow extension of scientific observations into daylight hours, using the LMT’s active surface to counteract the effects of thermal gradients within the antenna structure. Several approaches to stabilizing the LMT’s thermal behavior will be described, including operation of a ventilation system in the antenna backup structure and a real-time metrology system to measure and correct large-scale, thermally induced, surface deformations.
KEYWORDS: Data archive systems, Data modeling, Equipment, Data acquisition, Telescopes, Data storage, Astronomy, Computing systems, Unattended ground sensors, Inspection
The Large Millimeter Telescope (LMT) is a 50m-diameter single dish millimeter-wave radio telescope located in Mexico, built by the country of Mexico and the University of Massachusetts Amherst. The National Science Foundation Mid-Scale Innovations Program (MSIP) is now supporting access to the LMT for any astronomer located at a US institution with a share of total 15% of the scientific observation time. The LMT cyber-infrastructure is being innovated to accommodate the new science operation workflow. We developed and deployed the LMT data archive, fully integrating the data pipeline, data model, and data management workflow of most LMT instruments. For the LMT data archive, we use our own installation of the Dataverse software as the backend, with a custom-built frontend to provide a user-friendly search interface for discovering data products. The data model and data management workflow are developed along with the commissioning (hardware and/or software) of the instrument specific pipelines. The software package dvpipe is developed to package the data products from the instrument specific pipelines as science-ready data products and put them into the LMT data archive.
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