Mid-IR cosmological spectrophotometric surveys from space: Measuring AGN and star formation at the Cosmic Noon with a SPICA-like mission
Luigi Spinoglio, Sabrina Mordini, Juan Antonio Fernandez-Ontiveros,, Almudena Alonso-Herrero, Lee Armus, Laura Bisigello, Francesco Calura,, Francisco J. Carrera, Asantha Cooray, Helmut Dannerbauer, Roberto Decarli,, Eiichi Egami, David Elbaz, Alberto Franceschini

TL;DR
This paper demonstrates how a SPICA-like space mission could conduct deep mid-IR spectrophotometric surveys to map galaxy evolution, star formation, and black hole activity across cosmic time, especially during dust-obscured phases.
Contribution
It proposes a novel survey strategy using mid-IR spectroscopy combined with far-IR photometry to obtain an unobscured 3-D view of galaxy evolution up to redshift 3.5.
Findings
Enables a full census of star formation rate across cosmic time.
Simultaneously measures black hole accretion and star formation in thousands of galaxies.
Reveals physical processes in dust-embedded galaxy phases during cosmic noon.
Abstract
We use the SPace Infrared telescope for Cosmology and Astrophysics (SPICA) project as a template to demonstrate how deep spectrophotometric surveys covering large cosmological volumes over extended fields (1-15 square degrees) with a mid-IR imaging spectrometer (17-36 micron) in conjunction with deep 70 micron photometry with a far-IR camera, at wavelengths which are not affected by dust extinction can answer the most crucial questions in current galaxy evolution studies. A SPICA-like mission will be able for the first time to provide an unobscured three dimensional (3-D, i.e. x, y and redshift z) view of galaxy evolution back to an age of the Universe of less than ~2 Gyrs, in the mid-IR rest-frame. This survey strategy will produce a full census of the Star formation Rate (SFR) in the Universe, using Polycyclic Aromatic Hydrocarbons (PAH) bands and fine-structure ionic lines, reaching…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
