1.6k citations · 9.4k across the 172 of their papers we have counts for
Showing 2020 · astro-ph.IMShow all
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astro-ph.IM2020
Optimising a magnitude-limited spectroscopic training sample for photometric classification of supernovae
Jonathan E. Carrick, Isobel M. Hook, Elizabeth Swann +4
In preparation for photometric classification of transients from the Legacy Survey of Space and Time (LSST) we run tests with different training data sets. Using estimates of the d…
astro-ph.IM2020★ 9 cited
An optimised tiling pattern for multi-object spectroscopic surveys: application to the 4MOST survey
E. Tempel, T. Tuvikene, M. M. Muru +22
Large multi-object spectroscopic surveys require automated algorithms to optimise their observing strategy. One of the most ambitious upcoming spectroscopic surveys is the 4MOST su…