field op• Data kinds: flow2d → image2d
• Call: import pivops; pivops.piv_swirling_strength(flow, spacing=1.0) (or opspiv.get("piv_swirling_strength"))
> This operator's description has not been translated yet. The original text follows as it is.
渦回転強度 λ_ci —— 速度勾配テンソルの複素固有値の虚部の大きさ。
Q 基準と同じく「せん断と渦を区別する」量だが、こちらは**回転の角速度に
等しい単位**を持つ(1/フレーム)。実測: 剛体回転 ω=0.01 で `0.01`、
一様膨張とせん断で `0.0`。
固有値が実数(= 回転していない)の場所は 0 を返す。各点で独立な 2x2 の
固有値なので、格子全体をベクトル化して一度に解いている。
• piv_displacement family guide
• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).
• Operator provenance and references — the sources of the research/methods this op family came from.
• The canonical algorithm (author, year) and its uses are named in the family usage guide above.
• (none yet)
image2d as input)piv_cross_correlate · piv_multipass · piv_deform_pass · strain_from_displacement · correlation_quality · speckle_quality
field)piv_vorticity · piv_divergence · piv_flow_magnitude · piv_to_velocity · piv_velocity_gradient · piv_q_criterion · piv_strain_rate
*Provenance: pivops.py — PIV operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.