Strong magnetic fields and large rotation measures in protogalaxies from supernova seeding
Bibliographic record
Abstract
We present a model for the seeding and evolution of magnetic fields in protogalaxies. Supernova (SN) explosions during the assembly of a protogalaxy self-consistently provide magnetic seed fields, which are subsequently amplified by compression, shear flows and random motions. Our model explains the origin of strong magnetic fields of μG amplitude within the first star-forming protogalactic structures shortly after the first stars have formed. We implement the model into the magnetohydrodynamics (MHD) version of the cosmological N-body/smoothed-particle hydrodynamics (SPH) simulation code gadget and couple the magnetic seeding directly to the underlying multi-phase description of star formation. We perform simulations of Milky-Way-like galactic halo formation using a standard ΛCDM cosmology and analyse the strength and distribution of the subsequent evolving magnetic field. Within star-forming regions and given typical dimensions and magnetic field strengths in canonical SN remnants, we inject a dipole-shaped magnetic field at a rate of ≈10−9 G Gyr−1. Subsequently, the magnetic field strength increases exponentially on time-scales of a few tens of millions of years within the innermost regions of the halo. Furthermore, turbulent diffusion, shocks and gas motions transport the magnetic field towards the halo outskirts. At redshift z ≈ 0, the entire galactic halo is magnetized and the field amplitude is of the order of a few μG in the centre of the halo and ≈10−9 G at the virial radius. Additionally, we analyse the intrinsic rotation measure (RM) of the forming galactic halo over a range of redshift. The mean halo intrinsic RM peaks between redshifts z ≈ 4 and z ≈ 2 and reaches absolute values around 1000 rad m−2. While the halo virializes towards redshift z ≈ 0, the intrinsic RM values decline to a mean value below 10 rad m−2. At high redshifts, the distribution of individual star-forming and thus magnetized regions is widespread. This leads to a widespread distribution of large intrinsic RM values. In our model for the evolution of galactic magnetic fields, the seed magnetic field amplitude and distribution are no longer free parameters, but determined self-consistently by the star formation process occurring during the formation of cosmic structures. Thus, this model provides a solution to the seed field problem.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".