NEURAL-NETWORK-BASED NEUTRAL PARTICLES RECONSTRUCTION WITH THE E687 HADRON CALORIMETER

Authors
ARENA V BOCA G BONOMI G GCRARD G GIANINI G MARCHESOTTI M MERLO M RATTI SP RICCARDI C VIOLA L VITULO P BUCHHOLZ D CLAES D OREILLY B
Citation
V. Arena et al., NEURAL-NETWORK-BASED NEUTRAL PARTICLES RECONSTRUCTION WITH THE E687 HADRON CALORIMETER, Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, 374(3), 1996, pp. 359-366
Citations number
16
Categorie Soggetti
Nuclear Sciences & Tecnology","Physics, Particles & Fields","Instument & Instrumentation",Spectroscopy
Journal title
Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment → ACNP
ISSN journal
01689002
Volume
374
Issue
3
Year of publication
1996
Pages
359 - 366
Database
ISI
SICI code
0168-9002(1996)374:3<359:NNPRWT>2.0.ZU;2-C
Abstract
We present a neutral particle reconstruction algorithm based on a neur al network approach applied to the E687 hadron calorimeter. A measurem ent of the invariant mass of the Sigma(+/-) --> n pi(+) is presented t o verify the reliability of the reconstruction. The reconstructed inva riant mass of the charmed meson D+ --> K-L(0) pi(+)pi(+)pi(-) is also presented to show the possible application of this technique to charme d particles decaying into a neutral hadron. An example of this would b e Lambda(c)(+) --> nK(-)pi(+)pi(+).