13 Pattern Recognition and Reconstruction
611
133. K. Rose, “Deterministic annealing for clustering, compression, classification, regression, and
related optimization problems,” Proceedings of the IEEE, vol. 86, no. 11, p. 2210, 1998.
134. T. Speer, R. Frühwirth, P. Vanlaer, and W. Waltenberger, “Robust vertex fitters,” Nucl.
Instrum. Meth., vol. A566, p. 149, 2006.
135. W. Waltenberger, R. Frühwirth, and P. Vanlaer, “Adaptive vertex fitting,” J. Phys., vol. G34,
p. N343, 2007.
136. A. Dempster, N. Laird, and D. Rubin, “Maximum likelihood from incomplete data via the
EM algorithm,” Journal of the Royal Statistical Society. Series B (methodological), vol. 39,
no. 1, p. 1, 1977.
137. R. Frühwirth and W. Waltenberger, “Redescending M-estimators and deterministic annealing,” Austrian J. Statistics, vol. 37, no. 3&4, p. 301, 2008.
138. J. D’Hondt, R. Frühwirth, P. Vanlaer, and W. Waltenberger, “Sensitivity of robust vertex fitting
algorithms,” IEEE Transactions on Nuclear Science, vol. 51, no. 5, p. 2037, 2004.
139. R. Frühwirth and W. Waltenberger, “Adaptive Multi-vertex fitting,” Tech. Rep. CMS CR
2004/062, CERN, 2004.
140. T. Speer and R. Frühwirth, “A Gaussian-sum filter for vertex reconstruction,” Comput. Phys.
Commun., vol. 174, p. 935, 2006.
141. S. Lang, Calculus of several variables. Springer Science & Business Media, 2012.
142. P. Avery, “Applied fitting theory VI: Formulas for kinematic fitting,” Tech. Rep. CLEO Note
CBX98-37, Cornell University, 1999.
143. ALICE Collaboration, “The ALICE experiment at the CERN LHC,” JINST, vol. 3, no. 08,
p. S08002, 2008.
144. B. Abelev et al., “Performance of the ALICE Experiment at the CERN LHC,” Int. J. Mod.
Phys., vol. A29, p. 1430044, 2014.
145. G. Aad et al., “The ATLAS Experiment at the CERN Large Hadron Collider,” JINST, vol. 3,
p. S08003, 2008.
146. T. Cornelissen et al., “Concepts, Design and Implementation of the ATLAS New Tracking
(NEWT),” Tech. Rep. ATL-SOFT-PUB-2007-007, CERN, Geneva, 2007.
147. ATLAS Collaboration, “Performance of the ATLAS Track Reconstruction Algorithms in
Dense Environments in LHC Run 2,” Eur. Phys. J., vol. C77, no. 10, p. 673, 2017.
148. G. Aad et al., “Muon reconstruction performance of the ATLAS detector in proton–proton
collision data at
√
s =13 TeV,” Eur. Phys. J., vol. C76, no. 5, p. 292, 2016.
149. H. Oide, “Improvements to ATLAS track reconstruction for Run-2,” PoS, vol. EPS-HEP2015,
p. 287, 2015.
150. K. Potamianos, “The upgraded Pixel detector and the commissioning of the Inner Detector
tracking of the ATLAS experiment for Run-2 at the Large Hadron Collider,” PoS, vol. EPSHEP2015, p. 261, 2015.
151. ATLAS Collaboration, “The Optimization of ATLAS Track Reconstruction in Dense Environments,” Tech. Rep. ATL-PHYS-PUB-2015-006, CERN, Geneva, Mar 2015.
152. G. Aad et al., “Charged-particle distributions in
√
s = 13 TeV pp interactions measured with
the ATLAS detector at the LHC,” Phys. Lett., vol. B758, pp. 67–88, 2016.
153. S. Chatrchyan et al., “The CMS Experiment at the CERN LHC,” JINST, vol. 3, p. S08004,
2008.
154. CMS Collaboration, “The CMS tracker system project: Technical Design Report,” Tech. Rep.
CMS-TDR-005, CERN, 1997.
155. E. Brondolin, Track reconstruction in the CMS experiment for the High Luminosity LHC.
PhD thesis, Technische Universität Wien, 2018.
156. S. Chatrchyan et al., “Description and performance of track and primary-vertex reconstruction with the CMS tracker,” JINST, vol. 9, no. 10, p. P10009, 2014.
157. CMS Collaboration, “2017 tracking performance plots,” Tech. Rep. CMS-DP-2017-015,
CERN, 2017.
158. F. Pantaleo, New Track Seeding Techniques for the CMS Experiment. PhD thesis, Universität
Hamburg, 2017.
159. A. Augusto Alves et al., “The LHCb Detector at the LHC,” JINST, vol. 3, p. S08005, 2008.
Précédent

- 617/1083

Suivant