Paper dossier

Physical Modeling of a Spring Reverb Tank Incorporating Helix Angle, Damping, and Magnetic Bead Coupling

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Paper year

2025

Citations

1

Authors

4

Topic labels

3

Source readout

Source and corpus status

Venue

Journal of the Audio Engineering Society

Source slug

jaes

Corpus placement

Core corpus

Similarity rows

Not available yet

Ranking readout

Where this paper lands in the current run

Run shadow-generalization-product-candidate-ranking-v1Top 50 surfaced

This block uses the same resolved ranking run as Recommended. Ranks here are materialized paper_scores ranks; live Emerging may be reordered by the bounded ML scorer. Family rank is global within each family, but rank is only shown when this paper lands inside the surfaced top 50.

Families present

3

Top 50

3

Run label

shadow-generalization-product-candidate-ranking-v1

Snapshot

source-snapshot-shadow-generalization-v1-20260521

Scope: family global | run rank-83787b91ef

Emerging

In top 50 at rank 15

0.482

Emerging: embedding slice fit vs included-corpus centroid (title+abstract), plus citation velocity and topic growth; not universal relevance. Bridge signal not used here.

Signals: semantic=0.7597, citation_velocity=0.0600, topic_growth=1.0000, diversity_penalty=0.0000

Why this surfaced | 3 used | 1 penalty | 1 not computed
Embedding slice fit (corpus centroid)used

Embedding slice fit (corpus centroid): high; used in final ranking (contribution to score: 0.1519)

Recent attentionused

Recent attention: low; used in final ranking (contribution to score: 0.0300)

Topic momentumused

Topic momentum: high; used in final ranking (contribution to score: 0.3000)

Cross-cluster signalnot computed

Cross-cluster signal: not computed for this run

Similarity penaltypenalty

Similarity penalty: reduces score when non-zero (contribution to score: 0.0000)

Bridge

In top 50 at rank 1

0.671

Multi-topic paper in active topics; no cluster_version on this run so bridge_score was not computed.

Signals: citation_velocity=0.0600, topic_growth=1.0000, diversity_penalty=0.0000

Why this surfaced | 2 used | 1 penalty | 2 not computed
Semantic matchnot computed

Semantic match: not computed for this run

Recent attentionused

Recent attention: low; used in final ranking (contribution to score: 0.0210)

Topic momentumused

Topic momentum: high; used in final ranking (contribution to score: 0.6500)

Cross-cluster signalnot computed

Cross-cluster signal: not computed for this run

Topic breadth penaltypenalty

Topic breadth penalty: reduces score when non-zero (contribution to score: 0.0000)

Under-cited

In top 50 at rank 4

0.648

Low-cite candidate pool (see docs/candidate-pool-low-cite.md v0): core corpus, recency floor, citation ceiling, title+abstract gate; popularity penalty among pool members only. Semantic and bridge not yet modeled.

Signals: citation_velocity=0.0600, topic_growth=1.0000, diversity_penalty=0.2789

Why this surfaced | 2 used | 1 penalty | 2 not computed
Semantic matchnot computed

Semantic match: not computed for this run

Recent attentionused

Recent attention: low; used in final ranking (contribution to score: 0.0180)

Topic momentumused

Topic momentum: high; used in final ranking (contribution to score: 0.7000)

Cross-cluster signalnot computed

Cross-cluster signal: not computed for this run

Pool popularity penaltypenalty

Pool popularity penalty: reduces score when non-zero (contribution to score: -0.0697)

Abstract

Reproducing the main features of a spring reverb tank impulse response across the hearing range with a physical model presents unique challenges because of the high levels of coupling between the spring's vibrational polarizations. Previous attempts based on a model that includes helix angle can accurately simulate helical spring vibrations but see discrepancies in reproducing measured impulse responses due to heavy simplifications in specifying boundary conditions and input/output mechanisms. This paper presents an improved physical modeling approach by incorporating magnetic bead dynamics and frequency-dependent damping. The beads are modeled as coupled beams using a thin form of the spring equations that reduces to thin beam equations in the absence of curvature. Also ensuring the correct geometric alignment between the beads and the spring, the model's response to rotationally driving the input bead is shown to display the expected mixture of waves traveling along the different spring polarizations. To achieve a similar damping profile as observed in measured impulse responses, different damping parameters are set for each polarization, leading to nonproportional damping and multiple decay rates within small frequency bands. The new formulation results in the main features of measured impulse responses now being reproduced well.

Authors

  • Jacob McQuillan
  • Maarten van Walstijn
  • Julian D. Parker
  • Miguel Ortiz

Neighborhood labels

Topics

3 labels

Topic labels are imported metadata and can be noisy; use them as coarse navigation hints, not authoritative classifications.

Spacecraft and Cryogenic TechnologiesFluid Dynamics Simulations and InteractionsOil and Gas Production Techniques

Neighbor surface

Similar papers

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No embedding-backed neighbors available for this paper/version yet.

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