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ERIS: revitalising an adaptive optics instrument for the VLT

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arxiv 1807.05089 v1 pith:NGNGB4FG submitted 2018-07-13 astro-ph.IM

ERIS: revitalising an adaptive optics instrument for the VLT

Richard Davies , Simone Esposito , Hans Martin Schmid , William Taylor , Guido Agapito , Alexander Agudo Berbel , Andrea Baruffolo , Valdemaro Biliotti
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Beth Biller Martin Black Anna Boehle Runa Briguglio Alexander Buron Luca Carbonaro Angela Cortes Giovanni Cresci Matthias Deysenroth Amico Di Cianno Gianluca Di Rico David Doelman Mauro Dolci Reinhold Dorn Frank Eisenhauer Daniela Fantinel Debora Ferruzzi Helmut Feuchtgruber Natascha F\"orster Schreiber Xiaofeng Gao Hans Gemperlein Reinhard Genzel Elizabeth George Stefan Gillessen Christophe Giordano Adrian Glauser Andreas Glindemann Paolo Grani Michael Hartl Jeroen Heijmans David Henry Heinrich Huber Markus Kasper Christoph Keller Matthew Kenworthy Jonas Kuehn Harald Kuntschner John Lightfood David Lunney Mike MacIntosh Filippo Mannucci Stephen March Mark Neeser Polychronis Patapis David Pearson Markus Plattner Alfio Puglisi Sascha Quanz Christian Rau Armando Riccardi Bernardo Salasnich Josef Schubert Frans Snik Eckhard Sturm Angelo Valentini Christopher Waring Erich Wiezorrek Marco Xompero
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ERIS is an instrument that will both extend and enhance the fundamental diffraction limited imaging and spectroscopy capability for the VLT. It will replace two instruments that are now being maintained beyond their operational lifetimes, combine their functionality on a single focus, provide a new wavefront sensing module that makes use of the facility Adaptive Optics System, and considerably improve their performance. The instrument will be competitive with respect to JWST in several regimes, and has outstanding potential for studies of the Galactic Center, exoplanets, and high redshift galaxies. ERIS had its final design review in 2017, and is expected to be on sky in 2020. This contribution describes the instrument concept, outlines its expected performance, and highlights where it will most excel.

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