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An algorithm for creating synthetic telescope images of smoothed particle hydrodynamics (SPH) density fields is presented, which utilizes the adaptive nature of the SPH formalism in full. The imaging process uses Monte Carlo radiative transfer methods to model the scattering and absorption of photon packets in the density field, which then exit the system and are captured on a pixelated image plane, creating a 2D image (or a 3D data cube, if the photons are also binned by their wavelength). The algorithm is implemented on the density field directly: no gridding of the field is required, allowing the density field to be described to an identical level of accuracy as the simulations that generated it.  Some applications of the method to star and planet formation simulations are presented to illustrate the advantages of this new technique, and suggestions as to how this framework could support a radiative equilibrium algorithm are also given as an indication for future development.

Native synthetic imaging of smoothed particle hydrodynamics density fields using gridless Monte Carlo radiative transfer