activity
19992026
most citedGalaxy and Mass Assembly (GAMA): survey diagnostics and core data release

1.1k citations · 4.3k across the 37 of their papers we have counts for

collaborators

37 papers

astro-ph.GA2026

DINGO/GAMA /WAVES: HI-halo mass relation

Ajay Dev, Martin Meyer, Simon P. Driver +17

We investigate the relation between neutral atomic hydrogen (HI) and dark matter halo mass (HIHM) using observations from the Deep Investigation of Neutral Gas Origins (DINGO) pilo…

astro-ph.CO2025

Wide Area VISTA Extragalactic Survey (WAVES): Selection of targets for the Wide survey using decision-tree classification

G. Kaur, M. Bilicki, S. Bellstedt +11

The Wide-Area VISTA Extragalactic Survey (WAVES) on the 4-metre Multi-Object Spectroscopic Telescope (4MOST) includes two flux-limited subsurveys with very high (95\%) completeness…

astro-ph.GA2024★ 7 cited

Galaxy Spectra Networks (GaSNet). III. Generative pre-trained network for spectrum reconstruction, redshift estimate and anomaly detection

Fucheng Zhong, Nicola R. Napolitano, Caroline Heneka +11

Classification of spectra (1) and anomaly detection (2) are fundamental steps to guarantee the highest accuracy in redshift measurements (3) in modern all-sky spectroscopic surveys…

astro-ph.GA2024★ 15 cited

Do galaxy mergers prefer under-dense environments?

U. Sureshkumar, A. Durkalec, A. Pollo +6

Galaxy mergers play a crucial role in galaxy evolution. However, the correlation between mergers and the local environment of galaxies is not fully understood. We aim to address th…

astro-ph.IM2023★ 10 cited

Galaxy Spectra neural Network (GaSNet). II. Using Deep Learning for Spectral Classification and Redshift Predictions

Fucheng Zhong, Nicola R. Napolitano, Caroline Heneka +25

Large sky spectroscopic surveys have reached the scale of photometric surveys in terms of sample sizes and data complexity. These huge datasets require efficient, accurate, and fle…

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…