The WEAVE-TwiLight-Survey: Expanding WEAVE's Reach to Bright and Low-Surface-Density Targets with a Novel Observing Mode
Thomas Hajnik (1), Nicholas A. Walton (1), Giuseppe D'Ago (1), Piercarlo Bonifacio (2), Gavin Dalton (3, 4), Lilian Dominguez-Palmero (5, 6), Emanuel Gafton (5), Mike J. Irwin (1), Sergio Pico (5), David Terrett (3, 4), Anke Ardern-Arentsen (1), Ruben Sanchez-Janssen (5)

TL;DR
The paper introduces a novel observing mode for WEAVE that efficiently observes bright, low-surface-density targets by superimposing multiple fields, demonstrated through the WEAVE-TwiLight-Survey targeting bright exoplanet-host stars.
Contribution
It develops and tests a new observing mode for WEAVE that allows efficient twilight observations of low-density fields without additional calibration overheads.
Findings
Feasibility of merged field configurations demonstrated
High observational efficiency achieved during test observations
Survey will catalog ~6300 bright stars, including 62 planet hosts
Abstract
Current-day multi-object spectroscopic surveys are often limited in their ability to observe bright stars due to their low surface densities, resulting in increased observational overheads and reduced efficiency. Addressing this, we have developed a novel observing mode for WEAVE (William Herschel Telescope Enhanced Area Velocity Explorer) that enables efficient observations of low-surface-density target fields without incurring additional overheads from calibration exposures. As a pilot for the new mode, we introduce the WEAVE-TwiLight-Survey (WTLS), focusing on bright exoplanet-host stars and their immediate surroundings on the sky. High observational efficiency is achieved by superimposing multiple low-target-density fields and allocating the optical fibres in this configuration. We use a heuristic method to define fields relative to a central guide star, which serves as a reference…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomy and Astrophysical Research · Astrophysics and Star Formation Studies
