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METIS: The Mid-infrared ELT Imager and Spectrograph

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arxiv 2103.11208 v1 pith:JG7L3CTB submitted 2021-03-20 astro-ph.IM

Bernhard Brandl , Felix Bettonvil , Roy van Boekel , Adrian Glauser , Sascha Quanz , Olivier Absil , António Amorim , Markus Feldt
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Alistair Glasse Manuel Güdel Paul Ho Lucas Labadie Michael Meyer Eric Pantin Hans van Winckel the METIS Consortium
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keywords metismid-infraredimagerspectrographwilladaptivearticleconceptual
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The Mid-infrared ELT Imager and Spectrograph (METIS) will provide the Extremely Large Telescope (ELT) with a unique window to the thermal- and mid-infrared (3 - 13 microns). Its single-conjugate adaptive optics (SCAO) system will enable high contrast imaging and integral field unit (IFU) spectroscopy (R~100,000) at the diffraction limit of the ELT. This article describes the science drivers, conceptual design, observing modes, and expected performance of METIS.

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Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Project Hephaistos -- IV. James Webb Space Telescope Observations of Two Dyson Sphere Candidates

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    JWST/MIRI data attribute the mid-IR excess of Hephaistos candidates D and E to background galaxies at z≈0.9 (Hot-DOG-like) and z≈0.4 (dusty starburst), not to Dyson spheres or debris disks.

  2. Characterizing the oxidation state of rocky exoplanets with the Large Interferometer for Exoplanets (LIFE)

    astro-ph.EP 2026-07 conditional novelty 5.5 of 10

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  3. Spin-spin coupling in stellar binaries

    astro-ph.SR 2026-07 conditional novelty 5.0 of 10

    A spin-spin resonance in binaries can pump the secondary's obliquity to high values as the primary's magnetic braking sweeps the precession frequencies through commensurability.

  4. A data model to connect the ESO Data Processing System (EDPS) to ELT data archives

    astro-ph.IM 2025-06 conditional novelty 4.0 of 10

    A proposal to subsume workflow rules in an astronomical data model and use a backward-chaining engine (SPDE) to generate pipeline jobs automatically.

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