Abstract
The boson tagging at ILC, based on di-jets masses reconstruction, has lead to consider the reconstruction of multijet events as a major goal for the detector on this machine. One technique to optimise the multijet reconstruction is called Particle Flow Algorithm (PFA) and consists in software compensation and individual particle reconstruction. The main direction of the R&D studying calorimetry optimised for PFA, is concentrating on fine granularity calorimeters with a high degree of longitudinal segmentation. These studies include comparison of simulation models with data to measure their degree of agreement, the technical issues of building a detector optimised for PFA calorimetry, and development of algorithms for software compensation and particle flow reconstruction. Several technologies for electromagnetic and hadronic calorimeters are pursued with prototypes in test beam and new generation prototypes, very close to ILC like detector are under development with a very high degree of integration.
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