Ring Reconnection Fusion — Reproducible Runtime Container v1.2.2

Reproducible Docker container image for laser-driven p-11B aneutronic fusion simulations via 8-spot ring magnetic reconnection. Contains the complete CUDA-enabled scientific Python environment (Python 3.11.15, WarpX 26.4, pywarpx 26.4 CUDA-linked, AMReX 26.4, CUDA Toolkit 12.9.1 runtime, OpenMPI 5.0.10) used to produce the simulation results for Worth (2026), *Reconnection-driven non-thermal fusion in a tabletop laser–plasma platform* (in preparation).

The container is the byte-level reproducibility artifact: built via conda-pack of the live production environment on H100 hardware, guaranteeing the env in the container is identical to the one that produced published data.

**Image:** `ring-reconnection-fusion-v1.2.2.tar.gz` (7.6 GB compressed) **SHA-256:** d3074eb2f12bb0218f6de05ace504f33c0e5755dbad67873681075f6f221af2e **Platform:** Linux x86_64 with NVIDIA H100 (CUDA 12.9, compute capability 9.0) **License:** Apache-2.0

To use (on a CUDA-capable Linux x86_64 host with NVIDIA drivers): `gunzip -c ring-reconnection-fusion-v1.2.2.tar.gz | docker load`, then `docker run --rm --gpus all ring-reconnection-fusion:v1.2.2 ...`. See the included README-container.md for full instructions, reproduction notes, and build provenance.