Sep 10 – 12, 2014
University of Pisa
Europe/Rome timezone

Fast 3D track reconstruction for antiproton annihilation analysis using GPUs

Sep 11, 2014, 2:30 PM
University of Pisa

University of Pisa

<a target="_blank" href=,10.407985,17z/data=!3m1!4b1!4m2!3m1!1s0x12d591bb7d8c8ec9:0xbf91ddd442e32978>Polo Fibonacci</a> Largo Bruno Pontecorvo, 3 I-56127 Pisa <em>phone +39 050 2214 327</em>


Dr Akitaka Ariga (University of Bern)


Fast 4pi solid angle particle track recognition has been a challenge in particle physics for a long time, especially in using nuclear emulsion detectors. In particular, the data rate from emulsion detectors, i.e. from a scanning microscope, is about 10-100 TB/day. Real-time 3D volume processing and track reconstruction of such a quantity of data without limiting the angular acceptance need a large amount of computation, in which the GPU technology plays an essential role. In order to reconstruct annihilations of antiprotons, a fast 4pi solid angle particle track reconstruction based on GPU technology combined with a multithread programming has been developed. By employing 3 state-of-the-art GPUs with a multithread programming, a 60 times faster processing, at least, of 3D emulsion detector data has been achieved with an excellent tracking performance in comparison with a single-thread CPU processing. This tracking framework will be used in a wide range of applications like analyses of antiproton annihilations and neutron dosimetry.

Primary author

Dr Akitaka Ariga (University of Bern)


Mr Alireza Ehtesham (University of Bern) Prof. Antonio Ereditato (University of Bern) Dr Ciro Pistillo (University of Bern) Dr Martin Auger (University of Bern) Dr Mitsuhiro Kimura (University of Bern) Paola Scampoli (NA) Dr Saverio Braccini (University of Bern) Dr Tomoko Ariga (University of Bern)

Presentation materials