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We present FORECAST, a new flexible and adaptable software package thatperforms forward modeling of the output of any cosmological hydrodynamicalsimulations to create a wide range of realistic synthetic astronomical images.With customizable options for filters, field of view size and surveyparameters, it allows users to tailor the synthetic images to their specificrequirements. FORECAST constructs light-cone exploiting the output snapshots ofa 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 firstapplication, we emulated the GOODS-South field as observed for the CANDELSsurvey exploiting the IllustrisTNG simulation. We produce images of 200 sq.arcmin., in 13 bands (eight Hubble Space Telescope optical and near-infraredbands from ACS B435 to WFC3 H160, the VLT HAWK-I Ks band, and the four IRACfilters from Spitzer), with depths consistent with the real data. We analysedthe images with the same processing pipeline adopted for real data in CANDELSand ASTRODEEP publications, and we compared the results against both the inputdata used to create the images, and real data, generally finding good agreementwith both, with some interesting exceptions which we discuss. As part of thiswork, we release the FORECAST code and two datasets: the CANDELS datasetanalyzed in this study, and 10 JWST CEERS survey-like images (8 NIRCam and 2MIRI) in a field of view of 200 sq. arcmin. between z=0-20. FORECAST is aflexible tool: it creates images that can then be processed and analysed usingstandard photometric algorithms, allowing for a consistent comparison amongobservations and models, and for a direct estimation of the biases introducedby such techniques.

FORECAST: a flexible software to forward model cosmological hydrodynamical simulations mimicking real observations