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PySALT is the python/PyRAF-based data reduction and analysis pipeline for the Southern African Large Telescope (SALT), a modern 10m class telescope with a large user community consisting of 13 partner institutions. The suite of tools developed as part of PySALT include: (1) science quality reductions for the major operational modes of SALT include high-time resolution and spectroscopic reductions, (2) quick-look capabilities for the observers and real-time data delivery for the investigators, and (3) management of the data archive and regularly processing of SALT observations. In addition to presenting the overall framework, we also highlight some of the lessons learned since the start of SALT scientific observations in 2011.
", "publication_date": "2015-12-03", "publisher": "Zenodo", "resource_type": { "id": "presentation", "title": { "de": "Pr\u00e4sentation", "en": "Presentation" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "subjects": [ { "subject": "Science data management" } ], "title": "Data Management at the Southern African Large Telescope" }, "parent": { "access": { "owned_by": { "user": 19278 } }, "communities": { "default": "46433932-fa71-4b58-8428-2aeca5e729c6", "entries": [ { "access": { "member_policy": "open", "members_visibility": "public", "record_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2015-11-18T17:27:04+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "46433932-fa71-4b58-8428-2aeca5e729c6", "links": {}, "metadata": { "curation_policy": "", "page": "Science Operations 2015: Science Data Management - An ESO/ESA Workshop. ESO Garching, Germany, 24-27 November 2015
\r\n\r\nThe European Southern Observatory (ESO) and the European Space Agency (ESA) generate a significant fraction of science data from ground and space for the European astronomical community (and beyond). These data feed both direct PI use and use from the community at large through powerful science archives. The objective of the workshop is to present and discuss the various approaches to science data management.
\r\n\r\nThereby, we intend to:
\r\n\r\nTopics include:
\r\n\r\n