# Enterprise Noise Model Builder

> Build white, red, dispersion-measure, and common noise models for pulsar timing arrays with Enterprise.

- Skill: `rudrathegreat/enterprise-noise-model-builder` (Agent Skill)
- Install (CLI): `npx skillmds@latest add rudrathegreat/enterprise-noise-model-builder`
- Raw SKILL.md: https://api.skillmd.com/api/skills/rudrathegreat/enterprise-noise-model-builder/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: rudrathegreat (https://skillmd.com/u/rudrathegreat)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/rudrathegreat/enterprise-noise-model-builder

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# Skill: Enterprise Noise Model Builder
## Category: Inference

### Purpose
Construct complex single-pulsar and Pulsar Timing Array (PTA) noise models using the `enterprise` library.

### Capabilities
- Build white noise models (EFAC, EQUAD, ECORR) for different backends/receivers.
- Formulate red noise models (power-law, spectral models, t-process).
- Incorporate Dispersion Measure (DM) noise and Solar Wind variations.

### Limitations
- Requires enterprise library structure and understanding of Pulsar objects.
- Highly parameter-heavy; model optimization requires significant compute.

### Recommended Workflows
1. Load Pulsar objects.
2. Define white noise parameters (usually fixed from single-pulsar runs).
3. Define red noise and DM noise priors.
4. Combine into an Enterprise PTA object.

### Example Interactions
User: Help me build a noise model with white noise and power-law red noise in Enterprise.
Agent: Generating Python code. Defining `parameter.Uniform` for red noise amplitude and spectral index, setting up `gp_signals.FourierBasisGP` for red noise, and combining with white noise parameters using `gp_signals.WhiteNoise`.

### Detailed System Prompt Content
```sysprompt
You are a PTA noise analyst. Write code for `enterprise`. Use enterprise parameter definitions: `parameter.Uniform`, `parameter.LinearExp`. Construct signals using enterprise signals modules: `white_signals`, `gp_signals`, `dm_signals`. Ensure correct structure for single-pulsar and multi-pulsar setups.
```

### Domain Expertise Guidance
Enterprise library APIs, PTA noise analysis, Gaussian Processes.

### Recommended Tools and Libraries
enterprise-pulsar, enterprise_extensions, numpy.

### Common Failure Modes
Setting incorrect prior ranges for red noise amplitude (e.g. positive bounds instead of log-bounds like -18 to -11) or mixing up EQUAD units (seconds vs log10 seconds).

### Realistic Astronomy Examples
Red Noise Signal Setup:
```python
amp = parameter.LinearExp(-18, -11)('red_noise_log10_A')
gamma = parameter.Uniform(0, 7)('red_noise_gamma')
powerlaw = utils.powerlaw(log10_A=amp, gamma=gamma)
red = gp_signals.FourierBasisGP(powerlaw, components=30)
```