Quantifying magma mixing with the Shannon entropy: application to simulations and experiments
D. Perugini, C. P. De Campos, M. Petrelli, D. Morgavi, F. P. Vetere,, D. B. Dingwell

TL;DR
This paper introduces Shannon entropy as a novel quantitative tool for analyzing magma mixing, demonstrating its linear increase during initial mixing stages and its ability to complement existing measures like RCV for understanding chemical heterogeneity.
Contribution
The study applies Shannon entropy to petrological systems, establishing its relationship with concentration variance and demonstrating its effectiveness in quantifying magma mixing processes.
Findings
Shannon entropy increases linearly during initial mixing stages.
Different elements show different rates of entropy increase.
Combined use of Shannon entropy and RCV provides comprehensive mixing analysis.
Abstract
We introduce a new quantity to petrology, the Shannon entropy, as a tool for quantifying mixing as well as the rate of production of hybrid compositions in the mixing system. The Shannon entropy approach is applied to time series numerical simulations and high-temperature experiments performed with natural melts. We note that in both cases the Shannon entropy increases linearly during the initial stages of mixing and then saturates toward constant values. Furthermore, chemical elements with different mobilities display different rates of increase of the Shannon entropy. This indicates that the hybrid composition for the different elements is attained at different times generating a wide range of spatio-compositional domains which further increase the apparent complexity of the mixing process. Results from the application of the Shannon entropy analysis are compared with the concept of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
