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| Paper: |
Scalable Python Implementation of Image Cutout Service |
| Volume: |
527, Astronomical Data Analysis Software and Systems XXIX |
| Page: |
73 |
| Authors: |
Lo, K. |
| Abstract: |
The Large Synoptic Survey Telescope (LSST) is an eight meter optical ground-based telescope being constructed on Cerro Pachón in Chile. LSST will survey half the sky every few nights in six optical bands. Annual data releases will be made from all the data during the 10-year mission, with unprecedented depth of coadded images and time resolution of catalogs for such a large region of sky. We are writing a suite of International VirtuaI Observatory Alliance (IVOA) compliant web services to provide the Data Access or DAX to these data products at scale. This paper presents the current status of the image cutout retrieval software, aka DAX_ImgServ, that is built upon the LSST application software stack providing users the API access through standardized Virtual Observatory (VO) interfaces. |
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