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arxiv: 2605.23121 · v1 · pith:PXETRQXCnew · submitted 2026-05-22 · ⚛️ physics.plasm-ph · physics.comp-ph

NIMROD-to-IMAS workflow for extended-magnetohydrodynamic data with reusable datasets and implications for IMAS schema development

Alexei Y. Pankin , Fatima Ebrahimi , Qian Gong , Jacob King , Andreas Kleiner , Jesus Dominguez-Palacios , Norbert Podhorszki , Eric Suchyta This is my paper

Pith reviewed 2026-05-25 02:58 UTC · model grok-4.3

classification ⚛️ physics.plasm-ph physics.comp-ph
keywords NIMRODIMASextended MHDtokamak simulationdata conversionworkflowDIII-Dedge harmonic oscillations
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The pith

A workflow converts NIMROD extended-MHD simulation data to IMAS v4 records while conserving equilibrium, profile, perturbation and grid quantities.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper presents a workflow that takes NIMROD code inputs and hierarchical HDF5 outputs and produces records compatible with version 4 of the ITER IMAS Data Dictionary. The workflow applies COCOS-consistent coordinate handling and encodes finite-element poloidal meshes plus toroidal Fourier components through the IMAS General Grid Description. Validation on the DIII-D 163518 edge harmonic oscillation simulation shows that essential equilibrium, profile, perturbation and grid data are preserved in the resulting records. The work also identifies gaps in the current IMAS framework that must be addressed to support extended MHD data at database scale, including needs for provenance and metadata.

Core claim

The NIMROD-to-IMAS workflow converts code-specific inputs and outputs into IMAS v4 records, conserving essential equilibrium, profile, perturbation, and grid data as demonstrated on the DIII-D 163518 edge harmonic oscillation case, while exposing gaps in the IMAS framework for extended MHD data.

What carries the argument

NIMROD-to-IMAS conversion workflow that applies COCOS-consistent coordinate treatment and IMAS General Grid Description to encode finite-element poloidal meshes and toroidal Fourier components from hierarchical HDF5 dumps.

Load-bearing premise

The IMAS General Grid Description and existing data dictionary structures, together with the COCOS-consistent treatment, are sufficient to represent NIMROD's finite-element poloidal meshes and toroidal Fourier components without loss of essential physics information.

What would settle it

A side-by-side comparison of the converted IMAS records against the original NIMROD data for the DIII-D 163518 case that reveals loss of perturbation amplitudes or grid fidelity would falsify the conservation claim.

Figures

Figures reproduced from arXiv: 2605.23121 by Alexei Y. Pankin, Andreas Kleiner, Eric Suchyta, Fatima Ebrahimi, Jacob King, Jesus Dominguez-Palacios, Norbert Podhorszki, Qian Gong.

Figure 1
Figure 1. Figure 1: Schematic illustration of the plasma re [PITH_FULL_IMAGE:figures/full_fig_p005_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Schematic overview of the data flow from NIMROD simulations and experimental measurements [PITH_FULL_IMAGE:figures/full_fig_p009_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Mapping linear and nonlinear NIMROD simulations to IMAS. In the linear case, [PITH_FULL_IMAGE:figures/full_fig_p011_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: Comparison of NIMROD poloidal mesh (left) and unstructured IMAS GGD mesh preserving FE [PITH_FULL_IMAGE:figures/full_fig_p015_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Connectivity conventions for optional unstructured cell topologies: (a) [PITH_FULL_IMAGE:figures/full_fig_p017_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: NIMROD-to-IMAS converter verification using contour reconstruction for an n = 1 tempera￾ture perturbation on the poloidal (R, Z) plane. Left: contour produced directly from the native NIMROD dump using nimpy. Right: contour produced by reading the corresponding field from IMAS using the NIMROD-to-IMAS plotting utility. Different default colormaps lead to minor background differ￾ences, while the perturbatio… view at source ↗
read the original abstract

Extended magnetohydrodynamic (MHD) simulations of tokamak plasmas regularly produce outputs in multi-dimensional, multiple-field formats; these code-specific formats make it difficult to do cross-code validation/coupling and analyze at a database scale. In this paper, a workflow that converts NIMROD code inputs and outputs to records compatible with version 4 of the ITER IMAS Data Dictionary is presented. The scope of the workflow includes preprocessing of NIMROD code inputs, conversion of hierarchical NIMROD code HDF5 dumps, COCOS-consistent treatment of the coordinate system and sign convention, and encoding finite-element poloidal meshes and toroidal Fourier components through IMAS General Grid Description. Furthermore, the workflow allows for provenance and integrity metadata to be included while providing optimal I/O operations for large array structures. An example conversion based on an NIMROD code simulation of edge harmonic oscillations performed for the DIII-D discharge 163518 [A.Y. Pankin, et al., Nuclear Fusion 60.9 (2020), p. 092004] is used to validate the conservation of essential equilibrium, profile, perturbation, and grid data in the resulting IMAS records. Finally, this implementation exposes gaps in the current IMAS framework that need to be addressed to accommodate extended MHD data, and it highlights the metadata, provenance, and governance needs of the downstream use cases in the form of dataset validation, integration, and machine learning.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

1 major / 2 minor

Summary. The manuscript presents a workflow that converts NIMROD extended-MHD simulation inputs and outputs (including hierarchical HDF5 dumps) into ITER IMAS v4 Data Dictionary records. The workflow incorporates preprocessing steps, COCOS-consistent coordinate and sign-convention handling, encoding of finite-element poloidal meshes and toroidal Fourier components via the IMAS General Grid Description, and support for provenance/integrity metadata with optimized I/O. Validation is performed on a single NIMROD simulation of edge harmonic oscillations for DIII-D discharge 163518, demonstrating conservation of equilibrium, profile, perturbation, and grid quantities; the work also identifies gaps in the current IMAS schema for extended-MHD data.

Significance. If the described conversion steps prove robust and reusable, the workflow would directly support cross-code validation, database-scale analysis, and machine-learning applications in fusion plasma physics by producing standardized, provenance-tracked datasets. Explicit treatment of COCOS conventions and the General Grid Description for NIMROD's finite-element/Fourier representation is a concrete technical contribution. The identification of IMAS schema gaps provides actionable input for framework development.

major comments (1)
  1. [Validation / example conversion] Validation section (example conversion for DIII-D 163518): conservation of equilibrium, profiles, perturbations, and grids is asserted qualitatively, but no quantitative error metrics (e.g., relative L2 norms or pointwise differences on key quantities such as safety factor or magnetic field components) or results from additional test cases are reported. This limits the strength of the claim that the workflow conserves essential physics information without loss.
minor comments (2)
  1. [Abstract / Introduction] The abstract and introduction would benefit from an explicit statement of the IMAS version targeted (v4) and a brief comparison table of NIMROD vs. IMAS data structures for the main fields converted.
  2. [Figures] Figure captions describing the converted IMAS records should include the specific IMAS IDS names and GGD structures used (e.g., equilibrium, core_profiles, or perturbations).

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for the constructive comment regarding the validation section. We address the point below and will revise the manuscript accordingly.

read point-by-point responses

  1. Referee: [Validation / example conversion] Validation section (example conversion for DIII-D 163518): conservation of equilibrium, profiles, perturbations, and grids is asserted qualitatively, but no quantitative error metrics (e.g., relative L2 norms or pointwise differences on key quantities such as safety factor or magnetic field components) or results from additional test cases are reported. This limits the strength of the claim that the workflow conserves essential physics information without loss.

    Authors: We agree that quantitative metrics would strengthen the validation claim. In the revised manuscript we will add relative L2 norms and maximum pointwise differences (on a common grid) for key quantities including the safety factor q, electron density and temperature profiles, and the three components of the magnetic field, comparing the original NIMROD data directly to the converted IMAS records. We note that the manuscript presents a single, representative EHO case (DIII-D 163518) chosen for its relevance to existing literature; while the workflow itself is general, performing and documenting additional test cases would require substantial extra simulation and analysis effort that lies outside the scope of the present work. We therefore plan a partial revision that incorporates the requested error metrics for the existing case. revision: partial

Circularity Check

0 steps flagged

No significant circularity; workflow paper with external validation

full rationale

This is a methods paper describing an explicit data-conversion workflow (preprocessing, HDF5 conversion, COCOS handling, IMAS General Grid Description encoding) with no mathematical derivations, fitted parameters, predictions, or self-referential claims. The validation uses an external simulation (DIII-D 163518 EHO from a 2020 Nuclear Fusion paper) as a concrete benchmark to check conservation of equilibrium, profiles, perturbations, and grids. No load-bearing self-citations, uniqueness theorems, or ansatzes reduce the central claim to its own inputs; the argument is self-contained against the described steps and the cited external dataset.

Axiom & Free-Parameter Ledger

0 free parameters · 2 axioms · 0 invented entities

The workflow depends on pre-existing standards rather than new fitted quantities or postulated entities.

axioms (2)
  • domain assumption COCOS conventions correctly map NIMROD coordinate systems and sign conventions.
    The workflow description states COCOS-consistent treatment is applied.
  • domain assumption IMAS Data Dictionary v4 and General Grid Description can represent the required NIMROD data fields.
    Conversion target is defined as IMAS v4 records.

pith-pipeline@v0.9.0 · 5827 in / 1353 out tokens · 25145 ms · 2026-05-25T02:58:24.440568+00:00 · methodology

discussion (0)

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Reference graph

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