From 9b618a6832758baaabbcae804cb54143bda6e1fb Mon Sep 17 00:00:00 2001 From: Silke Maes Date: Mon, 10 Jun 2024 16:58:23 +0200 Subject: [PATCH] real final --- paper.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/paper.md b/paper.md index ef35004..42f5ba0 100644 --- a/paper.md +++ b/paper.md @@ -66,7 +66,7 @@ The development of MACE is a first step towards this coupling. Using the MACE ar which is executed element-wise and subsequently summed over the different chemical species. More details on the accuracy of the MACE models can be found in @Maes2024. Fig. \ref{fig:int4} shows the abundance profiles of seven chemical species, where the full curves indicate the MACE test of model *int4* from @Maes2024, and the dashed curves give the result for the classical model. On average, the MACE routine provides a speed-up of a factor 26, not taking into account the potential extra speed-up factor due to efficient vectorisation when coupling MACE with an SPH hydrodynamical model. -![Chemical abundance profiles from a test of trained MACE model model *int4* (full curves), compared to the classical model (dashed curves). More details in @Maes2024. \label{fig:int4}](int4_example.png){ width=70% } +![Chemical abundance profiles from a test of trained MACE model model *int4* (full curves), compared to the classical model (dashed curves). The error on the MACE model is calculated according to Eq. \ref{eq:error}. More details in @Maes2024. \label{fig:int4}](int4_example.png){ width=70% } # Code availability The code of MACE is publicly available in a GitHub repository: [https://github.com/silkemaes/MACE](https://github.com/silkemaes/MACE).