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We present SEREN, a new hybrid Smoothed Particle Hydrodynamics and N-bodycode designed to simulate astrophysical processes such as star and planetformation. It is written in Fortran 95/2003 and has been parallelised usingOpenMP. SEREN is designed in a flexible, modular style, thereby allowing alarge number of options to be selected or disabled easily and withoutcompromising performance. SEREN uses the conservative `grad-h' formulation ofSPH, but can easily be configured to use traditional SPH or Godunov SPH.Thermal physics is treated either with a barotropic equation of state, or bysolving the energy equation and modelling the transport of cooling radiation. ABarnes-Hut tree is used to obtain neighbour lists and compute gravitationalaccelerations efficiently, and an hierarchical time-stepping scheme is used toreduce the number of computations per timestep. Dense gravitationally boundobjects are replaced by sink particles, to allow the simulation to be evolvedlonger, and to facilitate the identification of protostars and the compilationof stellar and binary properties. At the termination of a hydrodynamicalsimulation, SEREN has the option of switching to a pure N-body simulation,using a 4th-order Hermite integrator, and following the ballistic evolution ofthe sink particles (e.g. to determine the final binary statistics once a starcluster has relaxed). We describe in detail all the algorithms implemented inSEREN and we present the results of a suite of tests designed to demonstratethe fidelity of SEREN and its performance and scalability. Further informationand additional tests of SEREN can be found at the web-pagehttp://www.astro.group.shef.ac.uk/seren.

SEREN - A new SPH code for star and planet formation simulations