Solar-MACH: An open-source tool to analyze solar magnetic connection configurations

Q: How reproducible is "Solar-MACH: An open-source tool to analyze solar magnetic connection configurations"?

Estimated time to first reproduction: a few days. Risk flags: No repository-level reproducibility signals are currently available, Estimate is based on paper-only reproduction flow. No direct maintained implementation was found. Use the paper PDF and citation graph to design a baseline reproduction.

Jan Gieseler, N. Dresing, Christian Palmroos, J. L. Freiherr von Forstner, D. J. Price, Rami Vainio, Athanasios Kouloumvakos, Laura Rodríguez‐García, Domenico Trotta, V. Génot, A. Masson, M. Roth, Astrid Veronig

Published: Feb 28, 2023

No direct implementation yet

Evidence: Inferred

Domain fit: Niche / domain-specific

Verified repos: 0

No strong AI-core implementation/artifact signals were detected from current providers.

Time to first repro: a few days

2 risk flags

DOI Publisher

The Solar MAgnetic Connection HAUS 1 tool (Solar-MACH) is an open-source tool completely written in Python that derives and visualizes the spatial configuration and solar magnetic connection of different observers (i.e., spacecraft or planets) in the heliosphere at different times. For doing this, the magnetic connection in the interplanetary space is obtained by the classic Parker Heliospheric Magnetic Field (HMF). ...

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In close vicinity of the Sun, a Potential Field Source Surface (PFSS) model can be applied to connect the HMF to the solar photosphere. Solar-MACH is especially aimed at providing publication-ready figures for the analyses of Solar Energetic Particle events (SEPs) or solar transients such as Coronal Mass Ejections (CMEs). It is provided as an installable Python package (listed on PyPI and conda-forge), but also as a web tool at solar-mach.github.io that completely runs in any web browser and requires neither Python knowledge nor installation. The development of Solar-MACH is open to everyone and takes place on GitHub, where the source code is publicly available under the BSD 3-Clause License. Established Python libraries like sunpy and pfsspy are utilized to obtain functionalities when possible. In this article, the Python code of Solar-MACH is explained, and its functionality is demonstrated using real science examples. In addition, we introduce the overarching SERPENTINE project, the umbrella under which the recent development took place.

Technical details

Canonical key: doi-10.3389_fspas.2022.1058810

Cache status: Fresh

Generated at: Jun 18, 2026, 6:05 AM

Artifact coverage: sparse

HF provider: ok (mixed)

PWC source used: No

LLM status: not_generated

LLM model: n/a

LLM generated: Unknown

LLM content type: n/a

HF policy: hf-relevance-v27

context only

Benchmarks: missing

Time to repro: a few days

2 risk flags

Results & Benchmarks

Freshness tier: cold

Direct + Inferred Evidence

No concrete benchmark grounding is available yet. Treat the page as context or an implementation starting point only.

Implementation Evidence Summary

Confidence: low

Recommendation evidence is currently too limited for a maintained-repo choice. Use Implementation Status and Reproduction Path for a practical baseline plan.

Reproduction Risks

Estimate is based on paper-only reproduction flow

Hardware Notes

Expect multi-day setup/compute for meaningful reproduction based on current guidance.

Evidence disclosure

Evidence graph: 2 refs, 1 links.

Utility signals: depth 65/100, grounding 58/100, status medium.

Implementation Status

No verified maintained repo

There is no verified maintained implementation yet. Use this baseline plan to decide whether to prototype now or defer.

No direct maintained implementation was found. Use the paper PDF and citation graph to design a baseline reproduction.
Start from related paper: Complex Evolution of Coronal Mass Ejections in the Inner Heliosphere as Revealed by Numerical Simulations and STEREO Observations: A Review.
Track assumptions and missing details in an experiment log before coding.

Time to first repro: a few days

Reproduction readiness

No Repo

Time to first repro: days

Last checked: Jun 18, 2026

Hardware requirements

Expect multi-day setup/compute for meaningful reproduction based on current guidance.

No verified implementation available

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Models

Solar-MACH Coronal mass ejection Coronal mass ejection model

Datasets

Solar-MACH dataset Coronal mass ejection dataset

Spaces

Solar-MACH demo Coronal mass ejection demo

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Research context

115

Citations

References

Tasks

Coronal mass ejection, Python (programming language), Heliosphere, Open source, Mach number, Space weather, Astronomy, Solar wind

Methods

None detected

Domains

Physics, Astrophysics, Physics and Astronomy, Astronomy and Astrophysics

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Coronal mass ejection Python (programming language) Heliosphere Open source Mach number Space weather