Workshop title: Modeling Dense Stellar Systems Organizers: Douglas Heggie, School of Mathematics, University of Edinburgh Steve McMillan, Department of Physics, Drexel University Simon Portegies Zwart, Sterrewacht Leiden, Leiden University Alison Sills, Department of Physics and Astronomy, McMaster University Overview: The three-body problem has exercised the best mathematicians since the time of Newton, leading to a stream of research which culminated in the ground-breaking work of Poincare and the subsequent explosion of research in low-dimensional dynamical systems. At the other extreme, the mathematical problems posed by systems with huge numbers of particles were tackled in the parallel stream of research into statistical mechanics, pioneered by Maxwell, Boltzmann, and many others. Somewhere in between lies the million-body problem: too large to be treated by low-dimensional methods, and too small to be treated statistically. Yet systems in this range of size are ubiquitous. Clusters of stars can be found throughout our Milky Way and other galaxies. Ranging in size from hundreds to about a million stars, the stars in these self-gravitating groups are all thought to have formed at the same time. These systems are the birthplaces of stars and planetary systems, and form the building blocks of galaxies. In dense stellar systems, both long-range and short-range gravitational encounters between stars have an important impact on the overall evolution of the cluster. These encounters can also modify the constitutent stellar populations, creating exotic objects such as X-ray emitting neutron star binaries or possibly intermediate-mass black holes. The main challenge of modeling these systems comes from the many order of magnitude of both length and time that must simultaneously be followed computationally. Gravity is a long-range force, so the contributions of all stars in the cluster must be included in each calculation. At the other extreme, a binary star system can have a separation which is 8 orders of magnitude smaller than the cluster radius. We would like to follow these systems for the age of the universe, about 12 billion years, but a strong encounter between two stars can dramatically change their trajectories within a day or a week. Dense stellar systems are also the ultimate "multi-physics" problem, where we should include gravity (Newtonian and general relativity), gas dynamics, radiative processes, stellar and binary star evolution, nucleosynthesis, and chemical reactions in the interstellar medium. How do we address these challenges? From the perspective of applied mathematics and physics, much work has been done to understand techniques such as orbit regularization (Levi-Civita 1918, Kustaanheimo & Stiefel 1965), adaptive resolution in both time and space (Greengard et al. 1988, Leimkhler 2002), and understanding the interations between different kinds of physical systems. From the perspective of computer science, the N-body gravitational community has long been involved in designing and implementing the computing necessary to solve some of these problems. The special-purpose GRAPE hardware (Makino & Taiji, 1998) first emerged in 1989 and led the field until the early 2000's. It has recently been superceded by both GPU and SIMD programmable systems, combined with MPI parallelization of the "front-end" computing (http://www.khalisi.com/phdthesis/nb6manual.html). A decade ago, a small group of researchers from astrophysics, mathematics, and computer science came together to create the MODEST collaboration (see http://www.manybody.org/modest). This loose-knit, informal group changes fluidly in size and scope over the years, but is anchored by the commitment of all its members to a collaborative, cross-disciplinary approach to MOdelling DEnse STellar systems. The meetings of this group range from small workshops and schools to formal conferences, depending on the circumstances and the wishes of the various meeting organizers. The proposed workshop will return MODEST to its roots of a small, informal workshop at which issues are discussed in depth between researchers with a variety of backgrounds and expertise. REFERENCES: Greengard L. et al 1988, SIAM J. Sci. Stat. Comput. 9, 669 Kustaanheimo P & Stiefel E (1965), J. Reine Angew. Math., 218, 204 Leimkuhler, B (2002) Applied Num. Math., 48, 175 Levi-Civita T. (1918) Acta Math., 42, 99 Makino J., Taiji M., 1998, Scientific Simulations with Special-Purpose Computers - The GRAPE Systems (Wiley: Chichester) Objectives, relevance, importance, and timeliness: The early evolution of dense stellar systems is an open and important topic. There is a phase between the giant molecular cloud and the (gas-less) star cluster that is currently unknown and largely unexplored. We know observationally that most stars form in clusters, but the transition between gas-rich star forming regions and gas-free clusters has not been observed in much detail. On the theoretical side, almost all dynamical simulations of star clusters begin with a gas-free cluster in equilibrium. In the last few years, with the advent of faster computers and more sophisticated codes, theorists have been investigating star formation in clustered environments, the early dynamical relaxation of young clusters, and the implications of the presence of gas on, for example, the mass functions in clusters, the presence of free-floating planets & brown dwarfs, and the creation of massive stars and intermediate mass black holes. This is a field with many avenues for advancement. The complex interplay among many physical processes makes dense stellar systems important but difficult targets for both theoretical modeling and high-resolution observations. Great progress has been made in recent years, with binary dynamics, realistic external fields, central black holes, and stellar and binary evolution now routinely incorporated into large-scale simulations, and powerful hardware (in the form of GPU and GRAPE systems) has become available to vastly speed up these calculations. In particular, the GRAPE-DR project at the University of Tokyo is nearing completion, and recently ranked top as the most energy-efficient supercomputer, with a rating of 815 Mflops/W. The AMUSE project (Astrophysical MUltipurpose Software Environment; see http:\\amusecode.org) is a comprehensive environment for modeling dense stellar systems, including multiphysics/legacy codes and flexible interfaces to integrate existing software (written in many languages) within this unifying environment. They have just announced their first release. At the same time, a wealth of new observational data has become available, and more can be expected to emerge in the near future (including international ground-based and space missions such as GAIA, LAMOST, LOFAR, etc.). The dynamics of dense stellar systems are driven by a wide variety of tightly coupled physical phenomena. Understanding these phenomena requires similarly close coordination among researchers working in these fields. The purpose of this workshop is to bring together experts (physicists and mathematicians) in theoretical and computer modeling of dense star clusters, and interested experts in computer hardware and software design. Our goal is to inspire new models and simulation techniques, to define new joint projects likely to advance these collaborations, and to make progress in confronting detailed models with high-resolution observations. Understanding the kinds of algorithms that will be used in the next 5-10 years is crucial to determing what kind of hardware we design. Looking forward, we see that software is starting to follow telescopes into the realm of team projects. Collaboration between users and creators of software and hardware, and training of individuals who are both users and creators, will be crucial to allow us to fully understand these important components of the universe.