Open Access
Issue
EPJ Web of Conf.
Volume 295, 2024
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)
Article Number 03001
Number of page(s) 8
Section Offline Computing
DOI https://doi.org/10.1051/epjconf/202429503001
Published online 06 May 2024
  1. CMS Collaboration, Description and performance of track and primary-vertex reconstruction with the CMS tracker. JINST. 9, P10009 (2014) [CrossRef] [Google Scholar]
  2. CMS Collaboration, Performance of the track selection DNN in Run 3. (http://cds.cern.ch/record/2854696, 2023) [Google Scholar]
  3. CMS Collaboration, A. & Others Particle-flow reconstruction and global event description with the CMS detector. JINST. 12, P10003 (2017) [CrossRef] [Google Scholar]
  4. Lantz, S. & Others, Speeding up particle track reconstruction using a parallel Kalman filter algorithm. JINST. 15, P09030 (2020) [CrossRef] [Google Scholar]
  5. CMS Collaboration, Performance of Run 3 track reconstruction with the mkFit algorithm. (http://cds.cern.ch/record/2814000, 2022) [Google Scholar]
  6. Clevert, D., Unterthiner, T. & Hochreiter, S., Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs). (2016) [Google Scholar]
  7. Chollet, F. & Others, Keras. (https://keras.io, 2015) [Google Scholar]
  8. Martín Abadi & Others, TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. (2016) [Google Scholar]
  9. Kingma, D. & Ba, J., Adam: A Method for Stochastic Optimization.(2017) [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.