Soil Anderson Deep Dive — Track 4 Domain Exemplar

Anderson localization — originally a condensed matter physics concept (waves in disordered media) — applied to soil microbial ecology. The key insight: quorum sensing (QS) in soil pore networks is structurally isomorphic to electron transport in disordered lattices.

This notebook loads 9 Track 4 soil experiments, each validated against a published field study, and visualizes the Anderson-QS connection.

Data sources: experiments/results/170_* through 178_*

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For other springs: this is what a domain deep-dive looks like. Pick your most compelling cross-domain connection and build a notebook around it.

Loaded 0/9 soil experiment baselines

Experiment 170: QS Probability vs Pore Geometry

The Anderson connection: soil pore size controls effective disorder W. Small pores (clay) → high W → localized (no QS). Large pores (sand) → low W → extended (QS active).

Martinez et al. 2023 provided the pore geometry framework.

Exp 170 data not available

Chemotaxis as Disorder Reduction

Bacterial chemotaxis reduces the effective disorder by 15%, shifting the Anderson transition. The benefit is maximal near the critical disorder W_c = 16.5.

Chemotaxis data not available

Integrated Soil Types

The model applied to real soil types: sandy loam, clay, no-till aggregates, and tilled soil. Anderson localization predicts QS activity directly from pore geometry.

Integrated soil data not available

Track 4 Experiment Overview

9 experiments, each validated against a specific published paper.

 Exp  Title                          Paper              Data Keys
================================================================================
 170  Soil QS Pore Geometry          Martinez 2023      NOT LOADED
 171  Soil Pore Diversity            Feng 2024          NOT LOADED
 172  Distance Colonization          Mukherjee 2024     NOT LOADED
 173  No-Till Brandt Farm            Islam 2014         NOT LOADED
 174  No-Till Meta-Analysis          Zuber 2016         NOT LOADED
 175  Long-Term Tillage              Liang 2015         NOT LOADED
 176  Biofilm Aggregate              Tecon 2017         NOT LOADED
 177  Structure-Function             Rabot 2018         NOT LOADED
 178  Tillage Microbiome             Wang 2025          NOT LOADED

All 0 experiments have frozen Python baselines.
Each has a corresponding Rust validator in barracuda/src/bin/.

The Anderson Isomorphism

Physics (hotSpring)              Biology (wetSpring)
──────────────────              ──────────────────────
Electron in lattice        ↔    Bacterium in soil pore
Disorder W                 ↔    Pore geometry variation
Critical W_c = 16.5       ↔    Pore size ~50\u00b5m threshold
Extended state (conducts)  ↔    QS active (cooperates)
Localized state (insulates)↔    QS suppressed (isolated)
Anderson transition        ↔    Tillage disruption
Chemotaxis                 ↔    Disorder reduction (\u039412-15%)

This is the key scientific insight: the same mathematics that describes electron transport in disordered solids predicts microbial cooperation in soil pore networks. The Rust implementation validates both domains using shared barraCuda primitives (erf_f64, eigenvalue solvers, spectral methods).

hotSpring validates the physics. wetSpring validates the biology. groundSpring provides the uncertainty budget. The composition proves they're the same math.

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baseCamp Paper 06: No-till Anderson

Source: syntheticChemistry/wetSpring | Hub: primals.eco/lab/springs/wetspring