A neural network clustering algorithm for the ATLAS silicon pixel detector
Popovic, D. S.
Vranješ Milosavljević, Marija
ATLAS Collaboration (ukupan broj autora: 2877)
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A novel technique to identify and split clusters created by multiple charged particles in the ATLAS pixel detector using a set of artificial neural networks is presented. Such merged clusters are a common feature of tracks originating from highly energetic objects, such as jets. Neural networks are trained using Monte Carlo samples produced with a detailed detector simulation. This technique replaces the former clustering approach based on a connected component analysis and charge interpolation. The performance of the neural network splitting technique is quantified using data from proton-proton collisions at the LHC collected by the ATLAS detector in 2011 and from Monte Carlo simulations. This technique reduces the number of clusters shared between tracks in highly energetic jets by up to a factor of three. It also provides more precise position and error estimates of the clusters in both the transverse and longitudinal impact parameter resolution.
Кључне речи:Particle tracking detectors / Particle tracking detectors (Solid-state detectors)
Извор:Journal of Instrumentation, 2014, 9
- ANPCyT, Argentina, YerPhI, Armenia, ARC, Australia, BMWF, Austria, FWF, Austria, ANAS, Azerbaijan, SSTC, Belarus, CNPq, Brazil, FAPESP, Brazil, NSERC, Canada, NRC, Canada, CFI, Canada, CERN, CONICYT, Chile, CAS, China, MOST, China, NSFC, China, COLCIENCIAS, Colombia, MSMT CR, Czech Republic, MPO CR, Czech Republic, VSC CR, Czech Republic, DNRF, Denmark, DNSRC, Denmark, Lundbeck Foundation, Denmark, EPLANET, European Union, ERC, European Union, NSRF, European Union, IN2P3-CNRS, France, CEA-DSM/IRFU, France, GNSF, Georgia, BMBF, Germany, DFG, Germany, HGF, Germany, MPG, Germany, AvH Foundation, Germany, GSRT, Greece, NSRF, Greece, ISF, Israel, MINERVA, Israel, GIF, Israel, I-CORE, Israel, Benoziyo Center, Israel, INFN, Italy, MEXT, Japan, JSPS, Japan, CNRST, Morocco, FOM, Netherlands, NWO, Netherlands, BRF, Norway, RCN, Norway, MNiSW, Poland, NCN, Poland, GRICES, Portugal, FCT, Portugal, MNE/IFA, Romania, MES of Russia, ROSATOM, Russian Federation, JINR, MSTD, Serbia, MSSR, Slovakia, ARRS, Slovenia, MIZS, Slovenia, DST/NRF, South Africa, MINECO, Spain, SRC, Sweden, Wallenberg Foundation, Sweden, SER, Switzerland, SNSF, Switzerland, Canton of Bern, Switzerland, Canton of Geneva, Switzerland, NSC, Taiwan, TAEK, Turkey, STFC, United Kingdom, Royal Society, United Kingdom, Leverhulme Trust, United Kingdom, DOE, United States of America, NSF, United States of America, ICREA
ISSN: 1748-0221 (print)