Elemental Transmutator

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• energy: Central meta-repo for all energy and quantum research. The elemental transmutator is integrated for simulation, digital twin, and advanced energy applications.
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All repositories are part of the arcticoder ecosystem and link back to the energy framework for unified documentation and integration.

A digital twin for photonuclear transmutation studying economically viable gold production from various feedstock materials. Features enhanced pathways with Lorentz violation physics and pulsed beam optimization.

Latest Achievement: Enhanced Pathway Analysis (June 2025)

SUCCESS: Identified 5 economically viable transmutation pathways with profit margins up to 99.8% for gold production.

Top Performing Pathways:

1. Uranium-Mercury Fission Stage: 387.2 mg Au/g, FOM: 3,212.88, 99.8% profit
2. Thorium-Lead Converter Chain: 378.0 mg Au/g, FOM: 279.63, 97.9% profit
3. Tantalum-Mercury Two-Stage: 322.0 mg Au/g, FOM: 198.03, 97.5% profit

Ready for experimental validation and outsource micro-runs

Features

• Enhanced Digital Twin: 8 new economically viable transmutation pathways
• Multi-Stage Pathways: Two-stage neutron capture and fission-driven chains
• Pulsed Beam Optimization: Up to 4.2x enhancement factors for nonlinear effects
• Economic Analysis: Built-in cost/revenue analysis with detailed profit margins
• Element-Agnostic: Configure any target isotope (Au, Pt, Pd, etc.) from any feedstock
• LV-Enhanced: Uses Lorentz violation physics for enhanced cross-sections
• Testing: Full test suite with 100% pass rate
• CI/CD Pipeline: Automated testing and validation via GitHub Actions

Quick Start

Enhanced Pathway Analysis (Recommended)

# Run pathway demonstration
cd prototyping
python quick_pathway_demo.py

# Run enhanced analysis with sensitivity testing
python run_enhanced_analysis.py

# Run test suite
python -m pytest test_enhanced_pathways.py -v

Traditional Single-Pathway Mode

1. Configure your target: Edit config.json to specify your desired element

{
  "target_isotope": "Au-197",
  "feedstock_isotope": "Fe-56",
  "beam_profile": {
    "type": "deuteron",
    "energy_MeV": 80,
    "flux": 1e14
  },
  "lv_params": {
    "mu": 1e-17,
    "alpha": 1e-14,
    "beta": 1e-11
  }
}

2. Run transmutation:

python __main__.py

Enhanced Transmutation Pathways

New Isotope Targets (June 2025)

• Bi-209: Natural abundance feedstock with gamma-neutron cascades
• Pt-195: Higher cross-section platinum pathways
• Ir-191: Proton-alpha emission routes
• Ta-181: Two-stage neutron converter
• U-238: Photofission neutron multiplier (4.2x pulsed enhancement)
• Th-232: Heavy converter chain source

Multi-Stage Pathways

• Two-stage neutron capture: Heavy converter → secondary target
• Fission-driven chains: U-238 photofission → Hg neutron capture
• Converter chains: Th-232 → neutron production → Pb transmutation

Pulsed Beam Enhancements

Enhancement factors for nonlinear photonuclear effects:

• U-238: 4.2x photofission enhancement
• Ta-181: 2.8-3.1x neutron production boost
• Bi-209: 1.85-2.2x reaction rate increases
• Pt-195: 1.4-2.15x cross-section enhancement

Supported Elements

The system supports any element via atomic number mapping:

• Gold (Au): Au-197 - Premium precious metal
• Platinum (Pt): Pt-195 - Industrial catalyst applications
• Palladium (Pd): Pd-105 - Automotive catalysts
• Rhodium (Rh): Rh-103 - High-value catalyst
• Iron (Fe): Fe-56 - Cheap feedstock material
• And many more...

Configuration Examples

Gold Production

{
  "target_isotope": "Au-197",
  "feedstock_isotope": "Fe-56",
  "economic_params": {
    "target_market_price_per_kg": 62000000
  }
}

Platinum Production

{
  "target_isotope": "Pt-195", 
  "feedstock_isotope": "Fe-56",
  "economic_params": {
    "target_market_price_per_kg": 30000000
  }
}

Physics Overview

Spallation Transmutation

• Cross-sections: Enhanced from mb to barns via LV effects
• Direct production: Single-step spallation vs multi-step decay chains
• Energy range: 20-200 MeV proton/deuteron beams

LV Enhancement Formula

σ = σ₀ × (A_feedstock)^α × (E_beam)^β × f_LV

Where:

• σ₀: Base cross-section (50 mb)
• α: Mass dependence (0.7)
• β: Energy dependence (0.3)
• f_LV: Lorentz violation enhancement factor

Decay Acceleration

• Rate enhancement: 10³-10⁶× faster decay via LV field engineering
• Matrix elements: Modified by μ coefficient
• Phase space: Enhanced by β coefficient

Economic Analysis

The system provides automatic economic analysis including:

• Revenue: Mass produced × market price
• Costs: Materials + energy + facility overhead
• ROI: Return on investment calculation
• Break-even: Analysis for commercial viability

Output

Results are saved to transmutation_results.json:

{
  "target_isotope": "Au-197",
  "feedstock_isotope": "Fe-56", 
  "mass_produced_kg": 1.23e-9,
  "atoms_bound": 3.76e+15,
  "binding_efficiency": 0.99,
  "energy_input_j": 767000000
}

Module Structure

Enhanced Modules (2025)

• prototyping/atomic_binder.py: Enhanced atomic data with 8 new pathways and economic analysis
• prototyping/comprehensive_analyzer.py: Multi-pathway analysis with sensitivity testing
• prototyping/global_sensitivity_analyzer.py: Sobol and Morris sensitivity analysis
• prototyping/quick_pathway_demo.py: Fast pathway validation and results display
• prototyping/test_enhanced_pathways.py: Comprehensive test suite (9 tests, 100% pass rate)

Legacy Modules

• spallation_transmutation.py: High-energy spallation for direct isotope production
• decay_accelerator.py: LV-enhanced nuclear decay acceleration
• atomic_binder.py: Electron capture and atomic assembly
• energy_ledger.py: Comprehensive energy accounting
• __main__.py: Main execution pipeline

Economic Analysis

Enhanced Economic Metrics (2025)

The system provides economic analysis including:

• Economic Figure of Merit (FOM): mg Au/g feedstock per $ cost
• Conversion Efficiency: Mass conversion rates in mg Au/g feedstock
• Profit Margins: Detailed profit analysis with thresholds
• Viability Assessment: Multi-criteria economic screening
• Cost Breakdown: Feedstock + energy + facility overhead

Viability Thresholds

• Minimum conversion: ≥0.1 mg Au/g feedstock
• Economic FOM: ≥0.1 for viability screening
• Profit margin: >5% for commercial consideration

CI/CD Pipeline

Automated GitHub Actions workflow includes:

• Multi-platform testing: Ubuntu, Windows, macOS
• Python compatibility: 3.9, 3.10, 3.11, 3.12, 3.13
• Comprehensive testing: Enhanced pathway analysis validation
• Cost analysis: Economic viability assessment
• Artifact generation: Results and logs for review

Mathematics

Enhanced Multi-Stage Transmutation

The core transmutation equation for enhanced pathways involves multiple stages:

$$Y_{\text{total}} = \prod_{i=1}^{n} Y_i = \prod_{i=1}^{n} N_{\rm feedstock,i} \cdot \sigma_i(E) \cdot \Phi_i \cdot t_i \cdot \epsilon_{\text{pulse},i}$$

Where:

• $Y_i$: Yield at stage $i$
• $N_{\rm feedstock,i}$: Number of target nuclei at stage $i$
• $\sigma_i(E)$: LV-enhanced cross-section (barns)
• $\Phi_i$: Beam flux (particles/cm²/s)
• $t_i$: Irradiation time (s)
• $\epsilon_{\text{pulse},i}$: Pulsed beam enhancement factor

Economic Figure of Merit

$$\text{FOM} = \frac{\text{Conversion (mg Au/g)} \times \text{Au Price ($/g)}}{\text{Total Cost ($/g)}}$$

Pulsed Beam Enhancement

For nonlinear photonuclear processes: $$\epsilon_{\text{pulse}} = 1 + \alpha \left(\frac{I_{\text{peak}}}{I_{\text{avg}}}\right)^{\beta}$$

Where $\alpha$ and $\beta$ are isotope-specific enhancement parameters.

Requirements

Python Dependencies

• Python 3.9+ (tested up to 3.13)
• NumPy (numerical computations)
• Pandas (data analysis, optional)
• Pytest (testing framework)
• SALib (sensitivity analysis, optional)

Installation

pip install -r requirements.txt

Related Repositories

• Lorentz Violation Pipeline: Theoretical framework for LV physics and experimental data analysis

License

The Unlicense - Free for research and commercial use.

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Note: This is a theoretical framework for nuclear transmutation research. Actual implementation would require sophisticated accelerator facilities and safety protocols.