A Mega Integral Field Spectrograph for the VLT

Abstract

We describe MIFS, a second generation integral-field spectrograph for the VLT, operating in the visible wavelength range. It combines a 1 ′ × 1 ′ field of view with the improved spatial resolution provided by multi-conjugate adaptive optics and covers a large simultaneous spectral range (0.6-1.0 µm). A separate mode exploits the highest spatial resolution provided by adaptive optics. With this unique combination of capabilities, MIFS has a wide domain of application and a large discovery potential. The MIFS low-spatial resolution mode (sampled at 0. ′′ 2) combined with the initial MCAO capabilities planned for the VLT will provide ultra-deep fields with a limiting magnitude for spectroscopy of R ∼ 28. MIFS will improve the present day detection limit of Lyα emitters by a factor of 100, and will detect low-mass star-forming galaxies to z ∼ 7. The MIFS high-spatial resolution mode (3 ′′ × 3 ′′ field sampled at 0. ′′ 01) is optimized for the next step in (MC)AO. It will probe, e.g., the relationship between supermassive central black holes and their host galaxy and the physics of winds from accretion disks in young stellar objects at unprecedented spatial resolution. MIFS will extend Europe's lead in integral-field spectroscopy. It capitalizes on new developments in adaptive optics, and is a key step towards instrumentation for OWL.

Revisiting the emission line source detection problem in integral field spectroscopic data

“…This happened because already first science case that motivated the construction of MUSE framed it as a discovery machine for the faintest line emitting objects. (Bacon et al, 2002); a dream that has now become reality (e.g., Bacon et al, 2021;Maseda et al, 2018;Sánchez Almeida et al, 2022). As of this writing the following software implementations for detecting and cataloguing emission lines in wide-field IFS data cuboids are freely 1 available: "Source Emission Line FInder" (SELFI; Meillier et al, 2016), ORIGIN (Mary et al, 2020), MUSELET (a wrapper of the popular imaging source detection software SExtractor and part of the MUSE Python Data Analysis Framework; Piqueras 1 Another software is CubeEx, but this programme is only available from the author on request (see the the "code availability" remark in Ginolfi et al, 2022).…”