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Part of a WEAVE fibre configuration

Part of the WEAVE focal plane showing optical fibres positioned on a set of targets in the telescope focal plane.

Prof Gavin Dalton

Professor of Astrophysics

Research theme

  • Astronomy and astrophysics

Sub department

  • Astrophysics

Research groups

  • Astronomical instrumentation
  • Extremely Large Telescope
Gavin.Dalton@physics.ox.ac.uk
  • About
  • Research
  • Publications

MOSAIC on ELT: VIS channel transmission budget and estimates from SAR to preliminary design phase

SPIE, the international society for optics and photonics (2026) 97

Authors:

Meghna Mohamed, Alessandro Meoli, Walter Seifert, Andreas Kelz, Myriam Rodrigues, Alondra Solá, Wenli Xu, Carlos Rodriguez Alvarez, Gavin Dalton, Thomas Augusteijn, Kacem El Hadi, Marísa Luisa García-Vargas, Marie Larrieu, Roser Pello, Mathieu Puech, Rubén Sanchez-Janssen, Hermine Schnetler, Jay Stephan, Christian Surace
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MOSAIC on ELT: detector trade-offs for the VIS and NIR channels

SPIE, the international society for optics and photonics (2026) 265

Authors:

Alessandro Meoli, Domingo Álvarez Méndez, Elizabeth George, Pablo Alberto Rodriguez, Thomas Augusteijn, Meghna Mohamed, Jay Stephan, Gavin Dalton, Kacem El Hadi, Myriam Rodrigues, Marísa Luisa García-Vargas, Marie Larrieu, Roser Pello, Mathieu Puech, Christian Surace, Rubén Sánchez Janssen, Hermine Schnetler
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MOSAIC, the ELT multiobject spectrograph: positioners with integrated atmospheric dispersion correction

SPIE, the international society for optics and photonics (2026) 282

Authors:

Jürgen Schmoll, Diane Chapuis-Kerouanton, Gavin Dalton, Louis Gabarra, Malak Galal, Ian Lewis, Myriam Rodrigues, Maxime Rombach, Daniel P Sablowski, Ellen Schallig, Markus Thurneysen, Alec York
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MOSAIC, the ELT multiobject spectrograph: development and evolution of the instrument architecture and capabilities

SPIE, the international society for optics and photonics (2026) 242

Authors:

Gavin B Dalton, Myriam Rodrigues, Roser Pello, Kacem El Hadi, Mathieu Puech, Jurgen Schmoll, Jeff Lynn, Thomas Augusteijn, Meghna Mohamed, Marísa Luisa García-Vargas, Ana Pérez Calpena, Walter Seifert, Wenli Xu, Ruben Sanchez-Janssen, Jay Stephan, Ian Lewis, Alondra Sola-Molina, Alessandro Meoli, Markus Thurneysen
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The WEAVE acquisition and guiding software: pattern recognition-based acquisition and multifibre guiding

RAS Techniques and Instruments Oxford University Press 5 (2026) rzag026

Authors:

Emanuel Gafton, Gavin B Dalton, Don Carlos Abrams, Jure Skvarč, Sergio Picó, Lilian Domínguez-Palmero, Illa R Losada, Sarah Hughes, Neil O’Mahony, Frank J Gribbin, Andy Ridings, David L Terrett, Cecilia Fariña, Chris R Benn, Esperanza Carrasco, P Joel Concepción Hernández, Kevin Dee, Rafael Izazaga, Shoko Jin, Ian J Lewis, J Alfonso L Aguerri, Gonzalo Páez

Abstract:

We present the architecture, implementation, and on-sky validation of the fully automated acquisition and guiding system (AG) developed for the WEAVE instrument on the William Herschel Telescope. The AG operates in two distinct modes, corresponding to the observing modes of WEAVE. For the large integral field unit, an off-axis imaging guider is used, for which we have devised an automatic acquisition method based on pattern recognition of stellar asterisms matched against Gaia predictions. For the multi-object spectrograph and the mini-integral field units, a multifibre guider uses up to eight coherent image guide fibre bundles to derive and apply continuous corrections in azimuth, altitude, and rotation. The system performs complete astrometric calculations, including atmospheric differential refraction and instrument flexure, for each guide frame, enabling accurate target placement and stable closed-loop guiding in all configurations. To support development, commissioning, and operational validation, we have also built a high-fidelity simulation mode that reproduces the behaviour of the telescope control system and of the AG cameras, and we release the standalone camera simulator as open-source software. Using two years of routine WEAVE operations spanning commissioning and early survey phases, we present a statistically robust characterization of AG performance, demonstrating that both modes meet design requirements and are ready for sustained survey operations.
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