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We present a new sink particle algorithm developed for the Adaptive MeshRefinement code RAMSES. Our main addition is the use of a clump finder toidentify density peaks and their associated regions (the peak patches). Thisallows us to unambiguously define a discrete set of dense molecular cores aspotential sites for sink particle formation. Furthermore, we develop a newscheme to decide if the gas in which a sink could potentially form, is indeedgravitationally bound and rapidly collapsing. This is achieved using a generalintegral form of the virial theorem, where we use the curvature in thegravitational potential to correctly account for the background potential. Wedetail all the necessary steps to follow the evolution of sink particles inturbulent molecular cloud simulations, such as sink production, theirtrajectory integration, sink merging and finally the gas accretion rate onto anexisting sink. We compare our new recipe for sink formation to other popularimplementations. Statistical properties such as the sink mass function, theaverage sink mass and the sink multiplicity function are used to evaluate theimpact that our new scheme has on accurately predicting fundamental quantitiessuch as the stellar initial mass function or the stellar multiplicity function.

Towards a more realistic sink particle algorithm for the RAMSES code