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This call runs in parallel with a similar opportunity for the US and Chilean communities that is the focus of a separate Announcement of Opportunity (AO). UK colleagues may come across that AO through their involvement in their respective Science Collaborations. International partners are not eligible to apply through the US/Chile AO. This is because the US/Chile AO extends the opportunity to join SITCOM that has effectively been available to international partners through the in-kind process, and of which this UK call for proposals is part. Nevertheless, we are collaborating with US colleagues to ensure that the US/Chile AO and this UK call are synchronised and consistent to the extent possible and that makes sense. For example, the detailed information in Appendices 3 and 4 comes from the US/Chile AO.

6. Content and format of proposals

Proposals should be no more than 3 2 pages in length and should address the following topics under the following section headings. These headings and supporting comments are borrowed from the US/Chile AO to facilitate the joint review of the full UK proposal with SITCOM leadership in late 2021.

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Appendix 1: Summary of Expressions of Interest from UK colleagues

This appendix lists colleagues who submitted an Expression of Interest in 2020 and who have given permission for their contact details and EoI titles to be shared.

Chris Collins (Liverpool JMU; c.a.collins@ljmu.ac.uk)

  • Recovery of the intra cluster light in galaxy clusters

Gavin Dalton (Oxford and RAL; gbd@astro.ox.ac.uk)

  • Hands-on camera-telescope commissioning including WFS calibrations

Hugh Dickinson (Open University; hugh.dickinson@open.ac.uk)

  • Integrating LSST commissioning data with the ESCAPE Science Analysis Platform (ESAP)

  • Applying Citizen Science and machine learning to Rubin’s commissioning and early survey data

  • Visual inspection of engineering data with Citizen Science

Isobel Hook (Lancaster; i.hook@lancaster.ac.uk)

  • Commissioning the transient alert stream process for LSST

Helen Jermak (Liverpool JMU; h.e.jermak@ljmu.ac.uk)

  • On-summit commissioning support, bringing experience of autonomous scheduling and commissioning to short timescales

Tanmoy Laskar (Bath; tanmoylaskar@gmail.com)

  • Deploying machine learning techniques to test commissioning data

Nicola Laporte (Cambridge; nl408@cam.ac.uk)

  • Testing and improving software for design of observations and data reduction, and on-summit support of commissioning observations

Jon Loveday (Sussex; j.loveday@sussex.ac.uk)

  • Data quality tests via the Limber scaling relation, building on APM and HSC experience

Matt Nicholl (Birmingham; mnicholl@star.sr.bham.ac.uk)

  • Testing machine learning algorithms for fast classification of LSST transients

James Mullaney (Sheffield; j.mullaney@sheffield.ac.uk)

  • Data quality checks on commissioning data including photometry, astrometry, and PSF characterization

Cyrielle Opitom (Edinburgh; copi@roe.ac.uk)

  • On-summit commissioning support and analysis of commissioning data

Paul Giles and Kathy Romer (Sussex; p.a.giles@sussex.ac.uk, romer@sussex.ac.uk)

  • Eyeballing of on-sky commissioning data building on tools and experience from DES, plus on-summit support

Stephen Serjeant (Open University; stephen.serjeant@open.ac.uk)

  • Deep learning CNNs for exotic strong lens finding

  • Cross-correlating LSST DR2 commissioning data with super-resolved Herschel survey data

Graham Smith (Birmingham; gps@star.sr.bham.ac.uk), Aprajita Verma (Oxford; averma@astro.ox.ac.uk), Tom Collett (Portsmouth; thomas.collett@port.ac.uk), plus SLSC and DESC-SLWG colleagues

  • Strong lenses as challenging scientific use cases for testing Rubin active optics and delivered seeing in commissioning

Tom Wilson and Tim Naylor (Exeter; t.j.wilson@exeter.ac.uk, t.naylor@exeter.ac.uk)

  • Assessing the accuracy of LSST astrometry

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