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Merge pull request #392 from NuriaLorente/Cycle4Funding
Cycle 4 funding: astroquery (AAO-MQ)
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### Title
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Cycle 4 Funding: Making Australian astronomical datasets accessible
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### Project Team
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AAO Research Data & Software, Macquarie University (rds.org.au)
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The foundation of the AAO Research Data & Software (RDS) team is built upon over
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40 years of supporting astronomical observatories in Australia. This software
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development experience ranges from controlling telescopes and their instruments,
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to building data reduction pipelines, to developing and implementing tools that
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store, manage, and analyse data. The RDS team aims to be at the forefront of
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research software and data engineering. We look for the best technology to solve
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a problem, but at the same time realise that software is not innovative or useful
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if it cannot be maintained, extended, or scaled. We appreciate the benefits that
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a holistic view of a software ecosystem can bring, but also recognise that a
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"deep dive" might be necessary to solve a complex problem. And while our historical
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strength has an astronomical flavour, our skills and expertise are increasingly
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recognised across research disciplines. Some of our current and recent projects
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include the Data Central Science Platform, including Virtual Observatory services;
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VLT MAVIS Data Reduction pipeline design and development; our state-of-the-art
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Pipelines as a Web Service (PAWS) system; and our recently completed ESO VLT
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Pipelines development and maintenance project.
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We propose the following individuals for this project, although other team members
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can be involved if needed:
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* James Tocknell
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* Anthony Horton
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* Brent Miszalski
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* Nuria Lorente
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* Simon O'Toole
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Although this is our first proposed contribution to astropy as a team, some of
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our members have made individual contributions over the years. Moreover, given
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the use that we make of astroquery in our Data Central science platform
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components in particular, we are keen to further contribute to astroquery
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infrastructure, not just through this proposal, but also in the longer term.
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### Project Description
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The astroquery package has become a popular touchstone for observational
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astronomers to find data, being used by more than 4000 github repositories (The
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Astropy Collaboration et al. 2022, 935, 167). Apart from astroquery.casda,
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Australian astronomical data are conspicuously absent from astroquery. In this
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project we address this shortcoming by adding access to the Anglo-Australian
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Telescope (AAT) Archive and several other Australian large survey datasets hosted
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by Data Central (https://datacentral.org.au): images, catalogues and spectra.
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Enhancing the visibility and accessibility of Australian datasets is critically
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important to complement multi-wavelength and multi-messenger observations from
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upcoming Southern Hemisphere facilities such as the Vera Rubin Observatory (VRO),
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Cerenkov Telescope Array (CTA) and the Square Kilometre Array (SKA).
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While many of the datasets we plan to add are accessible via VO services, many
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astronomers find VO services very difficult to interact with. Adding them to their
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own dedicated astroquery module would alleviate their anxieties about using these
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services. The AAT archive, on the other hand, is not currently accessible via a
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VO service and this work would allow for robust programmatic access for the
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first time.
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We also propose to address a longstanding problem in the preparation of multi-object
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spectroscopy (MOS) observations by adding the Cone of Darkness algorithm
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(Lorente 2014, ASPC 485, 95) to select blank sky positions. This automates a
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tedious task in a robust manner for any input astroquery catalogue.
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### Project / Work
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1. Data Central catalogues, images and spectra are accessible, respectively, via
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TAP, SIA and SSA services hosted by Data Central. We plan to provide access via
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a dedicated astroquery.datacentral module. The module would also include an API
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to access the AAT archive, also hosted by Data Central. The AAT archive hosts data
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from several instruments, the most prominent of which are MOS observations taken
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with the 2dF and 6dF facilities, amassing vast quantities of spectroscopic data.
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Via improvements to the archive API endpoints, we plan to provide access to the
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individual fibre tables of MOS observations, providing unprecedented access to
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this rich spectroscopic database. In the case of 2dF-AAOMega observations, users
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may then request automatic reductions of queried spectra via our Pipeline As a
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Web Service (PAWS) system.
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1. Addition of the Cone of Darkness algorithm involves porting the C++ code and
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tests to astropy such that any input catalogue (also obtained with astroquery)
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may be used to select sky positions. High proper motion stars may be excluded
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with an optional GAIA DR3 query.
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### Approximate Budget
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This funding application is to cover staff time. We estimate 420 hours of effort
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are required to complete this project which, at an hourly rate of USD$155/hour
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gives a budget of USD$65,100.
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The minimum useful time to carry out a portion of this work is estimated to be
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210 hours (USD$32,550). This would exclude Part 2 of the project outline above -
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i.e. the incorporation of Cone of Darkness.
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### Period of Performance
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We expect the period of performance to be two years.

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