Oral Abstract

Birds of a Feather Discussion (B10) Peter Teuben (Astronomy Department)

The Future of Proceedings

During the 2010 Boston ADASS, in a public session, the ADASS community voted that we continue with printed proceedings. Our proceedings publisher (ASP) is already giving us Open Access. Now, in 2019, we should revisit this question on what level we continue to publish the results of the conference. A full spectrum of options (Paper copy, e-Proceedings, arXiv, nothing) will be on the floor and after a discussion we hope to get a head count on each of the options to guide us how to proceed for 2020 and beyond.
Sign on url:

Poster Abstract

P3.12 Peter Teuben (Astronomy Department)

Theme: Delivering accessible and science-ready radio data

Science Mining the ALMA Archive

We are creating a prototype Science Query Database that enables broad
science- driven queries of ALMA projects. Our goal is to enable
science discovery with ALMA archival data by enhancing users' ability
to identify, access, and examine relevant data sets through database
access to scientific and observational metadata. This ALMA development
study will be a design and prototype implementation as a pathfinder
for a full ALMA implementation.

We will design and construct a Science Query Database on an Amazon Web
Services (AWS) testbed using selected public Cycle 5 data. We will
image, as necessary, and run the ALMA Data Mining Toolkit (ADMIT) on
full projects to create a standard set of science products, and ingest
the ADMIT science metadata (e.g., line identifications, line
characteristics, source intensities, image statistics, source
coordinates) into the Science Query Database. We will merge these
metadata with metadata harvested from the ALMA Science Archive system
and the u,v and image data files. Combining these with the existing
archive interface capability of searching project abstracts and
science keywords will allow investigators to make queries that dig
though the data rich archive to facilitate new science and explore new
ideas.

We will use the AstroQueryLite Python package to showcase how
this implementation can be integrated into many user environments. We
plan to use remote Jupyter notebooks for our study, which are familiar to
many astronomers. The outcomes of this study would be: the design
framework for including science metadata in future ALMA archive
upgrades, a prototype implementation of a Science Query Database and
associated access tools, and a test of the viability of AWS as an
archival database server for public use.