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4MOST Consortium Survey 10: The Time-Domain Extragalactic Survey (TiDES)

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arxiv 1903.02476 v2 pith:VEV64U7I submitted 2019-03-06 astro-ph.IM

4MOST Consortium Survey 10: The Time-Domain Extragalactic Survey (TiDES)

classification astro-ph.IM
keywords surveytransientsextragalacticspectroscopictidesactivefollow-upgalactic
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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The Time-Domain Extragalactic Survey (TiDES) is focused on the spectroscopic follow-up of extragalactic optical transients and variable sources selected from forthcoming large sky surveys such as that from the Large Synoptic Survey Telescope (LSST). TiDES contains three sub-surveys: (i) spectroscopic observations of supernova-like transients; (ii) comprehensive follow-up of transient host galaxies to obtain redshift measurements for cosmological applications; and (iii) repeat spectroscopic observations to enable the reverberation mapping of active galactic nuclei. Our simulations predict we will be able to classify transients down to $r = 22.5$ magnitudes (AB) and, over five years of 4MOST operations, obtain spectra for up to 30,000 live transients to redshift $z \sim 0.5$, measure redshifts for up to 50,000 transient host galaxies to $z \sim 1$ and monitor around 700 active galactic nuclei to $z \sim 2.5$.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Catching Disguised Transients with ASTRANet: Anomaly-Aware Spectroscopic Classification and Conformal Calibration

    astro-ph.IM 2026-07 conditional novelty 6.0

    ASTRANet combines a redshift-free spectral classifier, a 16-score anomaly detector, and conformal prediction to identify and calibrate uncertainty for out-of-taxonomy astronomical transients.

  2. The Impact of Host Galaxy Properties on Supernova Classification with Hierarchical Labels

    astro-ph.IM 2026-06 unverdicted novelty 6.0

    Host galaxy properties enable >90% pure Type Ia samples from photometry alone and improve classification accuracy when redshift is unavailable, via a new hierarchical cross-entropy objective.