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The latest news from LSST:UK

Hiranya holds the Professorship of Astrophysics (1909) at the Institute of Astronomy, University of Cambridge

Hiranya Peiris on how the LSST will impact her work on dark matter

This article will take approximately ~1 minute to read

Hiranya Peiris is one of the latest interviewees on the Radio 4 science show The Life Scientific.

This image shows the Simonyi Survey Telescope taking on-sky observations with a 144-megapixel test camera called the Rubin Commissioning Camera on 24 October 2024.

New journal papers from LSST:UK

This article will take approximately ~4 minute to read

New papers published in the Monthly Notices of the Royal Astronomical Society (MNRAS) highlight work by LSST:UK team members and collaborators to better understand our Universe.

Research software engineer Eduardo Toledo Romero is based at University of Edinburgh.

LSST:UK in the Spotlight: Eduardo Toledo Romero

This article will take approximately ~2 minute to read

Research software engineer Eduardo Toledo Romero talks about how his work enables scientists to exploit the hosepipe of Rubin data.

Screenshot highlighting the power of Rubin's camera © SLAC

New video reveals how Rubin maps the Universe

This article will take approximately ~1 minute to read

A new video produced by SLAC provides an insight into how Rubin enables exciting discoveries by capturing the sky in astonishing depth and detail.

The public alerts stream for the Vera C. Rubin Observatory has begun.

Lasair ingests 800,000 Rubin alerts as public alerts stream begins

This article will take approximately ~6 minute to read

As the Vera C. Rubin Observatory issues its first live alerts of changes detected in the night sky, a UK innovation is allowing us to observe millions of astronomical events as they unfold.

Dr Héloïse Stevence is a Schmidt AI in Science Fellow at the University of Oxford.

In the Spotlight: Héloïse Stevance

This article will take approximately ~3 minute to read

Héloïse Stevance, a Schmidt AI in Science Fellow the University of Oxford, explains how her role blends astronomy, computer science and machine learning.

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