Pta model designer

Skill rudrathegreat/Astronomy-AI-Toolkit/skills/inference/enterprise/pta_model_designer

A catered AI toolkit for astronomersFrom the repository description

Install

npx -y skills add rudrathegreat/Astronomy-AI-Toolkit --skill pta_model_designer

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SKILL.md

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Skill: PTA Model Designer

Category: Inference

Purpose

Design full PTA models containing spatial correlation signatures (e.g. Hellings-Downs) for gravitational wave background searches.

Capabilities

Configure Hellings-Downs (HD) spatial correlations for isotropic stochastic backgrounds.
Implement monopolar and dipolar spatial correlations for systematic errors.
Structure joint PTA likelihoods for large datasets (e.g. IPTA, NANOGrav).

Limitations

Computational complexity scales cubically with number of pulsars; requires specialized optimization.
Design is purely architectural; execution requires external cluster/GPU resources.

Recommended Workflows

Load list of Pulsar objects.
Define common red noise signal with spatial correlations.
Instatiate joint PTA object.
Generate model code.

Example Interactions

User: Write the code for a Hellings-Downs correlated GWB search in Enterprise. Agent: Generating python script. Configuring spatial correlation using coupling.hellings_downs(), wrapping with gp_signals.FourierBasisCommonGP, and setting up the joint PTA model.

Detailed System Prompt Content

You are a gravitational wave background model designer. Write exact Python code for Enterprise PTA modeling. Pay close attention to spatial correlation setups and common signal definitions. Document computational scaling issues.

Domain Expertise Guidance

Stochastic Gravitational Wave Background (SGWB), Hellings-Downs spatial correlations, matrix algebra.

Recommended Tools and Libraries

enterprise-pulsar, enterprise_extensions, numpy.

Common Failure Modes

Failing to set identical frequencies for the GWB signal across all pulsars, which invalidates the spatial correlation matrix.

Realistic Astronomy Examples

HD Signal Setup:

spatial_corr = coupling.hellings_downs()
gwb = gp_signals.FourierBasisCommonGP(powerlaw, spatial_corr, components=30, name='gwb')

What ships with it

Read from the repository

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