PANDA EMC Trigger and Data Acquisition Algorithm Development

TL;DR: A novel self-trigger data push data push architecture for the PANDA data acquisition system requiring the data from EMC readout electronics to be processed on the basis of the Compute Node based processing architecture to reconstruct electromagnetic shower.

Abstract: xuhao@ihep.ac.cnThe PANDA detector is a general purposed hadron spectrum planed to operate at the FAIR facilityin Darmstadt, Germany. The PANDA electromagnetic calorimeter(EMC) employs 11360 PWO-II crystals for barrel module, 3600 for forward module and 592 for backward module providing4p spatial coverage, good granularity and high energy resolution. A novel self-trigger data pushdata architecture for the PANDA data acquisition system requiring the data from EMC readoutelectronics to be processed on the fly to reconstruct electromagnetic shower. Features extractedfrom the electromagnetic shower combine with information from other detectors such as trackingand Cherenkov detectors in order to discriminate between photons, electron and hadrons. ThePANDA EMC detector performance, proposed readout electronics and offline reconstruction al-gorithms are studied and an adaptive EMC DAQ schematic is proposed based on an FPGA basedCompute Node which provides high bandwidth flexible connections between processing modules,up to 10GByte DDR2 per board for data buffering and five large capacity V4FX60 FPGAs forsophisticated algorithms applications. The algorithms partition strategy is proposed consideringthe readout electronics layout and the Compute Node based processing architecture. The functionverification and performance evaluation methods for the algorithms are also studied.