Co-Active Subspace Methods for the Joint Analysis of Adjacent Computer Models
Active subspace (AS) methods are a valuable tool for understanding the relationship between the inputs and outputs of a Physics simulation. In this article, an elegant generalization of the traditional ASM is developed to assess the co-activity of two computer models. This generalization, which we refer to as a Co-Active Subspace (Co-AS) Method, allows for the joint analysis of two or more computer models allowing for thorough exploration of the alignment (or non-alignment) of the respective gradient spaces. We define co-active directions, co-sensitivity indices, and a scalar “concordance” metric (and complementary “discordance” pseudo-metric) and we demonstrate that these are powerful tools for understanding the behavior of a class of computer models, especially when used to supplement traditional AS analysis. Details for efficient estimation of the Co-AS and an accompanying R package (concordance) are provided. Practical application is demonstrated through analyzing a set of simulated rate stick experiments for PBX 9501, a high explosive, offering insights into complex model dynamics.
Authors
- Cory Ahrens
- Scott Vander Wiel (ORCID: https://orcid.org/0000-0002-2647-3549)
- Kellin Rumsey (ORCID: https://orcid.org/0000-0002-2989-965X)
- Zachary K. Hardy (ORCID: https://orcid.org/0000-0002-8549-9968)
Institutions
- Los Alamos National Laboratory (US)
Publication Details
- Journal
- Technometrics
- Published
- 2024-09-23
- DOI
- https://doi.org/10.1080/00401706.2024.2407314
- Citations
- 1
- Primary Topic
- Probabilistic and Robust Engineering Design
- Type
- article
- Field-Weighted Citation Impact
- 0.46