Pith Number

pith:PDS2FWR5

pith:2025:PDS2FWR5CS4PJD5LJALASZCLWU

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Geometric Analysis of Magnetic Labyrinthine Stripe Evolution via Deep Learning Segmentation

B.S. Shivaram, Gia-Wei Chern, Hae Yong Kim, Kotaro Shimizu, Vin\'icius Yu Okubo

U-Net segmentation of magneto-optical images enables geometric tracking of magnetic stripe evolution and reveals two polarity-linked modes during annealing.

arxiv:2509.11485 v3 · 2025-09-15 · cond-mat.mtrl-sci · cs.CV

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Claims

C1strongest claim

Applying this framework to 444 images from 12 annealing protocol trials, we analyze the transition from the quenched state to a more parallel and coherent annealed state, and identify two distinct evolution modes (Type A and Type B) linked to field polarity.

C2weakest assumption

The U-Net model trained exclusively on synthetic degradations (additive white Gaussian and Simplex noise) produces segmentations of real experimental magneto-optical images that are sufficiently accurate and unbiased for downstream geometric measurements of length and curvature.

C3one line summary

U-Net segmentation of magneto-optical images combined with skeletonization and graph analysis quantifies the transition from quenched to annealed states in magnetic labyrinthine stripes and identifies two field-polarity-dependent evolution modes across 444 images.

Formal links

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Receipt and verification

First computed	2026-06-09T02:07:08.777640Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

78e5a2da3d14b8f48fab481609644bb513ac022acb8688677610ac0c24fa0d51

Aliases

arxiv: 2509.11485 · arxiv_version: 2509.11485v3 · doi: 10.48550/arxiv.2509.11485 · pith_short_12: PDS2FWR5CS4P · pith_short_16: PDS2FWR5CS4PJD5L · pith_short_8: PDS2FWR5

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/PDS2FWR5CS4PJD5LJALASZCLWU \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 78e5a2da3d14b8f48fab481609644bb513ac022acb8688677610ac0c24fa0d51

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "b03a424835d6a97e10227a9b2f87b5e0dd4a6ee6a6d53b8204516410761ccfbb",
    "cross_cats_sorted": [
      "cs.CV"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cond-mat.mtrl-sci",
    "submitted_at": "2025-09-15T00:23:23Z",
    "title_canon_sha256": "a9b2eeff67a1687110af8cf255ffdbff5e19a24ad48e3495643b3310dcb47a4b"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2509.11485",
    "kind": "arxiv",
    "version": 3
  }
}