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Next-generation \( \gamma\) -ray spectrometers based on highly segmented HPGe detectors are using the recent technique of \( \gamma\) -ray tracking to significantly improve on efficiency and Doppler correction capabilities. A precise reconstruction of the individual interaction locations within the active material is possible through the use of pulse shape analysis (PSA) which, in turn, demands an accurate knowledge of the detector response. We developed JASS, a Java-based simulation software package to generate pulse shapes for the AGATA detectors from physics constraints and basic material parameters. For verifying the simulation experimental data from a coincidence scan with known interaction locations was used. The achieved position resolution, in the order of a few millimeters, is within the requirements of the \( \gamma\) -ray tracking array.

AGATA is an array of highly segmented HPGe detectors using the technique of $ \gamma$ -ray tracking to reconstruct the scattering path of $ \gamma$ -rays interacting within the active material. A basic requirement therefore is a precise reconstruction of the individual interaction locations within the detectors. This is possible through the use of pulse shape analysis (PSA) which, however, has to be conducted in real time due to the high data rates expected. We report on the use of a fully informed particle swarm (FIPS) algorithm for PSA. The achieved position resolution, in the order of a few millimeters, is within the requirements of a $ \gamma$ -ray tracking array. The energy resolutions in Doppler-corrected spectra of a simulated in-beam experiment are comparable to those of a non-real-time extensive PSA based on a full grid search.