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FORECAST: a flexible software to forward model cosmological hydrodynamical simulations mimicking real observations by Fortuni, Flaminia; Merlin, Emiliano; Fontana, Adriano; Giocoli, Carlo; Romelli, Erik; Graziani, Luca; Santini, Paola; Castellano, Marco; Charlot, Stéphane; Chevallard, Jacopo is a scholarly article available to read on EtoBox.

What is FORECAST: a flexible software to forward model cosmological hydrodynamical simulations mimicking real observations about?

We present FORECAST, a new flexible and adaptable software package that performs forward modeling of the output of any cosmological hydrodynamical simulations to create a wide range of realistic synthetic astronomical images. With customizable options for filters, field of view size and survey parameters, it allows users to tailor the synthetic images to their specific requirements. FORECAST constructs light-cone exploiting the output snapshots of a simulation and computes the observed flux of each simulated stellar element, modeled as a Single Stellar Population, in any chosen set of pass-band filters, including k-correction, IGM absorption and dust attenuation. As a first application, we emulated the GOODS-South field as observed for the CANDELS survey exploiting the IllustrisTNG simulation. We produce images of 200 sq. arcmin., in 13 bands (eight Hubble Space Telescope optical and near-infrared bands from ACS B435 to WFC3 H160, the VLT HAWK-I Ks band, and the four IRAC filters from Spitzer), with depths consistent with the real data. We analysed the images with the same processing pipeline adopted for real data in CANDELS and ASTRODEEP publications, and we compared the results a

Author
Fortuni, Flaminia; Merlin, Emiliano; Fontana, Adriano; Giocoli, Carlo; Romelli, Erik; Graziani, Luca; Santini, Paola; Castellano, Marco; Charlot, Stéphane; Chevallard, Jacopo
Published
2023
Language
EN

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