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ARI-L

The Additional Representative Images for Legacy (ARI-L) in the ALMA Science Archive is an ALMA Development project approved by JAO in December 2018 for execution and based on the results of a feasibility study approved by ESO and reported in Massardi et al. (2019). The project aims to increase the legacy value of the ASA by bringing the reduction level of ALMA data from Cycles 2-4 close to the level of the more recent Cycles processed with the ALMA Imaging Pipeline.

The ARI-L complete set of imaging products will be highly relevant for all science-cases and enhance the possibilities of exploitation of archival data. Indeed, images for all the datasets will:

  • facilitate the archive access and the data usage for science purposes also to non-expert data-miners,
  • provide a homogeneous view of all data to compare datasets and to do a more conscious download selection,
  • allow to more profitably link the archive to several tools of visualization and analysis (e.g. VO, CARTA, ADMIT, KAFE, ...)
  • allow to generate previews similar to those planned for the following cycles.

The project plans to produce and ingest into the ASA a uniform set of full data cubes and continuum images covering at least 70% of the data from Cycles 2-4. These cubes will complement the much smaller QA2-generated image products which cover only a small fraction (< 10%) of the observed data for those cycles.

With the hardware system already available at the Italian node of the European ALMA Regional Centre (ARC) and the collaboration of staff from other European ARC nodes, the ARI-L products will be generated, certified for quality and ingested into the archive as additional products. 

The whole project begun in June 2019 and is expected to be completed in 3 years. A complete set of imaging products such as those that ARI-L produce will be highly relevant for all science-cases and enhance the possibilities of exploitation of archival data. Figures 2, 3, and 4 show examples of science projects that could benefit from ARI-L products in the archive.

 

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Publication Acknowledgement

Publications making use of ARi-L data should include the following statement in the acknowledgement:
This paper makes use of products of the Additional Representative Images for Legacy (ARI-L) development project for ALMA upgrade (Massardi et al. 2020)."