Open Access
| Issue |
EPJ Web Conf.
Volume 150, 2017
Connecting The Dots/Intelligent Trackers 2017 (CTD/WIT 2017)
|
|
|---|---|---|
| Article Number | 00003 | |
| Number of page(s) | 12 | |
| DOI | https://doi.org/10.1051/epjconf/201715000003 | |
| Published online | 08 August 2017 | |
- L. Evans, P. Bryant, JINST 3, S08001 (2008) [Google Scholar]
- G. Aad et al. (ATLAS), JINST 3, S08003 (2008) [Google Scholar]
- S. Chatrchyan et al. (CMS), JINST 3, S08004 (2008) [Google Scholar]
- B. Schmidt, J. Phys. Conf. Ser. 706, 022002 (2016) [Google Scholar]
- Y. LeCun, Y. Bengio, G. Hinton, Nature 521, 436 (2015) [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
- I. Goodfellow, Y. Bengio, A. Courville, Deep learning (MIT Press, 2016) [Google Scholar]
- R. Fruehwirth, M. Regler, R. Bock, H. Grote, D. Notz, Data Analysis Techniques for High-Energy Physics, 2nd edn. (Cambridge University Press, Cambridge UK, 2000) [Google Scholar]
- F. Ragusa, L. Rolandi, New Journal of Physics 9, 336 (2007) [CrossRef] [Google Scholar]
- R. Frühwirth, A. Strandlie, Pattern recognition and reconstruction: Datasheet from landoltbörnstein - group i elementary particles, nuclei and atoms · volume 21b1: “detectors for particles and radiation. part 1: Principles and methods” in springermaterials (http://dx.doi.org/10.1007/978-3-642-03606-4_13), copyright 2011 Springer-Verlag Berlin Heidelberg, http://materials.springer.com/lb/docs/sm_lbs_978-3-642-03606-4_13 [Google Scholar]
- The ATLAS Collaboration, The Optimization of ATLAS Track Reconstruction in Dense Environments (2015), https://cds.cern.ch/record/2002609 [Google Scholar]
- A. Salzburger, Tracking at HL-LHC and FCC (2015), https://indico.hephy.oeaw.ac.at/event/86/session/2/contribution/4 [Google Scholar]
- R. Mankel, Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 395, 169 (1997) [CrossRef] [Google Scholar]
- S. Levine, C. Finn, T. Darrell, P. Abbeel, arXiv preprint arXiv:1504.00702 (2015) [Google Scholar]
- S. Hochreiter, J. Schmidhuber, Neural Comput. 9, 1735 (1997) [CrossRef] [PubMed] [Google Scholar]
- O. Vinyals, A. Toshev, S. Bengio, D. Erhan, CoRR abs/1411.4555 (2014) [Google Scholar]
- M. Denil, L. Bazzani, H. Larochelle, N. de Freitas, CoRR abs/1109.3737 (2011) [Google Scholar]
- V. Mnih, N. Heess, A. Graves, K. Kavukcuoglu, CoRR abs/1406.6247 (2014) [Google Scholar]
- K. Xu, J. Ba, R. Kiros, K. Cho, A.C. Courville, R. Salakhutdinov, R.S. Zemel, Y. Bengio, CoRR abs/1502.03044 (2015) [Google Scholar]
- S. Zheng, Y. Yue, J. Hobbs, Generating Long-term Trajectories Using Deep Hierarchical Networks, in Advances in Neural Information Processing Systems (2016), pp. 1543–1551 [Google Scholar]
- E. Eyjolfsdottir, K. Branson, Y. Yue, P. Perona, arXiv preprint arXiv:1611.00094 (2016) [Google Scholar]
- K. Simonyan, A. Vedaldi, A. Zisserman, CoRR abs/1312.6034 (2013) [Google Scholar]
- A Common Tracking Software Project, http://acts.web.cern.ch/ACTS/index.php [Google Scholar]
- F. Chollet et al., Keras, https://github.com/fchollet/keras (2015) [Google Scholar]
- HEP.TrkX CTD2017 public code repository, https://github.com/HEPTrkX/heptrkx-ctd [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.