|
| 1 | +### Title |
| 2 | +Cycle 4 Funding: Making Australian astronomical datasets accessible |
| 3 | + |
| 4 | +### Project Team |
| 5 | +AAO Research Data & Software, Macquarie University (rds.org.au) |
| 6 | + |
| 7 | +The foundation of the AAO Research Data & Software (RDS) team is built upon over |
| 8 | +40 years of supporting astronomical observatories in Australia. This software |
| 9 | +development experience ranges from controlling telescopes and their instruments, |
| 10 | +to building data reduction pipelines, to developing and implementing tools that |
| 11 | +store, manage, and analyse data. The RDS team aims to be at the forefront of |
| 12 | +research software and data engineering. We look for the best technology to solve |
| 13 | +a problem, but at the same time realise that software is not innovative or useful |
| 14 | +if it cannot be maintained, extended, or scaled. We appreciate the benefits that |
| 15 | +a holistic view of a software ecosystem can bring, but also recognise that a |
| 16 | +"deep dive" might be necessary to solve a complex problem. And while our historical |
| 17 | +strength has an astronomical flavour, our skills and expertise are increasingly |
| 18 | +recognised across research disciplines. Some of our current and recent projects |
| 19 | +include the Data Central Science Platform, including Virtual Observatory services; |
| 20 | +VLT MAVIS Data Reduction pipeline design and development; our state-of-the-art |
| 21 | +Pipelines as a Web Service (PAWS) system; and our recently completed ESO VLT |
| 22 | +Pipelines development and maintenance project. |
| 23 | + |
| 24 | +We propose the following individuals for this project, although other team members |
| 25 | +can be involved if needed: |
| 26 | + |
| 27 | +* James Tocknell |
| 28 | +* Anthony Horton |
| 29 | +* Brent Miszalski |
| 30 | +* Nuria Lorente |
| 31 | +* Simon O'Toole |
| 32 | + |
| 33 | +Although this is our first proposed contribution to astropy as a team, some of |
| 34 | +our members have made individual contributions over the years. Moreover, given |
| 35 | +the use that we make of astroquery in our Data Central science platform |
| 36 | +components in particular, we are keen to further contribute to astroquery |
| 37 | +infrastructure, not just through this proposal, but also in the longer term. |
| 38 | + |
| 39 | +### Project Description |
| 40 | +The astroquery package has become a popular touchstone for observational |
| 41 | +astronomers to find data, being used by more than 4000 github repositories (The |
| 42 | +Astropy Collaboration et al. 2022, 935, 167). Apart from astroquery.casda, |
| 43 | +Australian astronomical data are conspicuously absent from astroquery. In this |
| 44 | +project we address this shortcoming by adding access to the Anglo-Australian |
| 45 | +Telescope (AAT) Archive and several other Australian large survey datasets hosted |
| 46 | +by Data Central (https://datacentral.org.au): images, catalogues and spectra. |
| 47 | +Enhancing the visibility and accessibility of Australian datasets is critically |
| 48 | +important to complement multi-wavelength and multi-messenger observations from |
| 49 | +upcoming Southern Hemisphere facilities such as the Vera Rubin Observatory (VRO), |
| 50 | +Cerenkov Telescope Array (CTA) and the Square Kilometre Array (SKA). |
| 51 | + |
| 52 | +While many of the datasets we plan to add are accessible via VO services, many |
| 53 | +astronomers find VO services very difficult to interact with. Adding them to their |
| 54 | +own dedicated astroquery module would alleviate their anxieties about using these |
| 55 | +services. The AAT archive, on the other hand, is not currently accessible via a |
| 56 | +VO service and this work would allow for robust programmatic access for the |
| 57 | +first time. |
| 58 | + |
| 59 | +We also propose to address a longstanding problem in the preparation of multi-object |
| 60 | +spectroscopy (MOS) observations by adding the Cone of Darkness algorithm |
| 61 | +(Lorente 2014, ASPC 485, 95) to select blank sky positions. This automates a |
| 62 | +tedious task in a robust manner for any input astroquery catalogue. |
| 63 | + |
| 64 | + |
| 65 | +### Project / Work |
| 66 | +1. Data Central catalogues, images and spectra are accessible, respectively, via |
| 67 | +TAP, SIA and SSA services hosted by Data Central. We plan to provide access via |
| 68 | +a dedicated astroquery.datacentral module. The module would also include an API |
| 69 | +to access the AAT archive, also hosted by Data Central. The AAT archive hosts data |
| 70 | +from several instruments, the most prominent of which are MOS observations taken |
| 71 | +with the 2dF and 6dF facilities, amassing vast quantities of spectroscopic data. |
| 72 | +Via improvements to the archive API endpoints, we plan to provide access to the |
| 73 | +individual fibre tables of MOS observations, providing unprecedented access to |
| 74 | +this rich spectroscopic database. In the case of 2dF-AAOMega observations, users |
| 75 | +may then request automatic reductions of queried spectra via our Pipeline As a |
| 76 | +Web Service (PAWS) system. |
| 77 | + |
| 78 | +1. Addition of the Cone of Darkness algorithm involves porting the C++ code and |
| 79 | +tests to astropy such that any input catalogue (also obtained with astroquery) |
| 80 | +may be used to select sky positions. High proper motion stars may be excluded |
| 81 | +with an optional GAIA DR3 query. |
| 82 | + |
| 83 | + |
| 84 | +### Approximate Budget |
| 85 | +This funding application is to cover staff time. We estimate 420 hours of effort |
| 86 | +are required to complete this project which, at an hourly rate of USD$155/hour |
| 87 | +gives a budget of USD$65,100. |
| 88 | + |
| 89 | +The minimum useful time to carry out a portion of this work is estimated to be |
| 90 | +210 hours (USD$32,550). This would exclude Part 2 of the project outline above - |
| 91 | +i.e. the incorporation of Cone of Darkness. |
| 92 | + |
| 93 | + |
| 94 | +### Period of Performance |
| 95 | +We expect the period of performance to be two years. |
0 commit comments