Energy conversion and scaling analysis of relativistic magnetic reconnection in the Sweet–Parker regime
Bibliographic record
Abstract
Relativistic magnetic reconnection is a key process for accelerating charged particles and producing high-energy radiation. We study this process using relativistic resistive magnetohydrodynamics simulations. Starting with Harris sheet configuration, we study the time evolution of the reconnection rate and the Alfvén four-Mach number for outflow. These measurements validate the Sweet–Parker scaling, consistent with previous studies. To study energy conversion processes, we calculate magnetic dissipation, crucial for understanding how energy is converted between plasma and electromagnetic fields. Decomposing electric field components relative to the velocity field, we find that energy conversion is initially dominated by the resistive electric field, but convective electric fields take over as reconnection progresses. Plasma primarily gains energy within the current sheet and near the separatrix. We perform a scan of magnetization for mildly relativistic plasma to examine scaling laws previously derived for non-relativistic inflow. We find the inflow is slower than predicted, due to conversion of magnetic energy mostly into enthalpy, causing strong compressibility. We calculate and verify the scaling of the compressibility factor, providing a more accurate representation of inflow dynamics. We analyze the impact of a guide field on reconnection and energy partition, finding that a stronger guide field reduces the reconnection rate but has minimal effect on the relative distribution of kinetic energy, magnetic energy, and enthalpy. The addition of the rotating guide field and variations in initial pressure and density have little effect on the energy composition of the outflow, with enthalpy consistently dominating at nearly 90%.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".