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SPRITZ in a nutshell

In SPRITZ all galaxies are classified into eight different galaxy populations, all extracted starting from a set luminosity functions, mainly in the IR, and a galaxy stellar mass function. In particular, the simulation includes six galaxy populations derived from the Herschel infrared luminosity functions. These are normal star-forming galaxies, starbursts, obscured and unobscured active galactic nuclei (AGN) and two composite systems. In addition, the simulation includes elliptical galaxies, starting from a set of K-band luminosity functions, and dwarf irregular galaxies, derived from a stellar mass function.

Below you can see a schematic workflow summarizing the main steps of Spritz. The main outputs of the simulation are highlighted in orange. They correspond to:

• a master catalog, which has no limits in flux or area, but has galaxies compressed in redshift-luminosity bins with average physical properties.
• a simulated catalog, which has the flux and area of specific surveys. It contains physical properties, simulated fluxes and luminosities for a long list of optical and infared emission features.
• simulated images for different filters. Galaxies are, at the moment, point like. These images can, in principle, be done for any photometric filter.
• low-resolution simulated spectra. These are available for specific wavelength ranges.

Validation

SPRITZ agrees well with a broad set of observations, including number counts and luminosity functions from X-ray to radio wavelengths. For the complete list of tests, please refer to the accepted paper.

References:

• "Simulating the infrared sky with a SPRITZ", L. Bisigello, C. Gruppioni, A. Feltre, F. Calura, F. Pozzi, C. Vignali, L. Barchiesi, G. Rodighiero and M. Negrello, 2021, A&A, 651, A52, DOI: 10.1051/0004-6361/202039909
• "Simulating infrared spectro-photometric surveys with a SPRITZ", L. Bisigello, C. Gruppioni, F. Calura, et al., 2021, PASA, 38, 64 DOI: 10.1017/pasa.2021.57.
• "SPRITZ is sparkling: simulated CO and [CII] luminosities", L. Bisigello, L. Vallini, C. Gruppioni, et al., 2022, A&A, 666, A76, DOI:10.1051/0004-6361/202244019