Over the past several years, we have developed a large suite of tools at CMU that facilitate this analysis. These include analysis tools for manipulating data from the CLAS experiment at Jefferson Lab--- the COBRA tools which faciliate easy access and compressed storage to CLAS data.

A tool for carrying out quantum field theory calculations has also been developed: qft++ and an article has been written describing this work: Numerical Object Oriented Quantum Field Theory Calculations. This tool set allows us to compute the needed physics amplitudes for our partial wave analysis using a covariant tensor formalism.

We have also developed a background subtraction method that is appropriat for inclusion in unbinned maximum likelihood fits. Separating Signals from Non-Interfering Backgrounds using Probabilistic Event Weightings The precedure is a generalization of sideband subtraction to high-dimension data sets by defining a set of nearest neighbors for each event. It allows each event to be assigned a quality factor that indicates the probability the event is signal or background.

Our work is carried out on a 286-core processor farm which we share with our lattice QCD colleagues at CMU. The farm has about 20 terrabytes of data storage and is built primarily with dual-quad-core AMD chips in 32 blade servers connected using a private channel-bonded gigabit network.

We are currently funded by an NSF Physics at the information Frontier (PIF) grant to develop grid-enabled partial wave analysis tools. This latter effort is collaborative bewteen Carnegie Mellon, University of Connecticut and Indiana University.