Nonlinear Processes in Geophysics
Nonlinear Processes in Geophysics
NPG
Articles | Volume 28, issue 1
Articles | Volume 28, issue 1
https://doi.org/10.5194/npg-28-135-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/npg-28-135-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 28, issue 1
Research article
 | 
24 Feb 2021
Research article |  | 24 Feb 2021

Improvements to the use of the Trajectory-Adaptive Multilevel Sampling algorithm for the study of rare events

Pascal Wang, Daniele Castellana, and Henk A. Dijkstra

Viewed

Total article views: 2,250 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,720 483 47 2,250 38 46
  • HTML: 1,720
  • PDF: 483
  • XML: 47
  • Total: 2,250
  • BibTeX: 38
  • EndNote: 46
Views and downloads (calculated since 27 Aug 2020)
Cumulative views and downloads (calculated since 27 Aug 2020)

Viewed (geographical distribution)

Total article views: 2,250 (including HTML, PDF, and XML) Thereof 2,064 with geography defined and 186 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
This paper proposes two improvements to the use of Trajectory-Adaptive Multilevel Sampling, a rare-event algorithm which computes noise-induced transition probabilities. The first improvement uses locally linearised dynamics in order to reduce the arbitrariness associated with defining what constitutes a transition. The second improvement uses empirical transition paths accumulated at high noise in order to formulate the score function which determines the performance of the algorithm.
Read more