Planck CMB Power Spectrum Models

This application visualizes and compares different cosmological models with Planck CMB power spectrum data:

• Standard ΛCDM Model
• Hilltop Inflation Model
• Starobinsky (R²) Inflation Model

Features

• Interactive parameter controls for both Hilltop and Starobinsky models
• Real-time visualization updates
• Responsive design that works on all devices
• Single container deployment optimized for AWS App Runner

Local Development

Prerequisites

• Python 3.11+
• Node.js 18+
• npm

Setup

1. Install Python dependencies:

   pip install -r requirements.txt

2. Install frontend dependencies:

   cd frontend
   npm install

3. Build the frontend:

   npm run build

4. Run the application:

   python app.py

The application will be available at http://localhost:8080

Deployment to AWS App Runner

1. Build the Docker image:

   docker build -t plank-data .
   docker run -p 8080:3000 --name plank-app plank-data 

2. Tag and push to Amazon ECR:

   aws ecr get-login-password --region <region> | docker login --username AWS --password-stdin <account>.dkr.ecr.<region>.amazonaws.com
   docker tag plank-data:latest <account>.dkr.ecr.<region>.amazonaws.com/plank-data:latest
   docker push <account>.dkr.ecr.<region>.amazonaws.com/plank-data:latest

3. Create an App Runner service using the ECR image

   • Port: 8080
   • CPU: 1 vCPU
   • Memory: 2 GB

Models

Hilltop Model Parameters

• amp: Overall amplitude scaling (relates to V0)
• mu: Mass scale of the potential (typically near Planck scale)
• v: Vacuum expectation value (controls oscillation amplitude)
• p: Power in potential (p > 2 for inflation)
• phi: Initial field value (phi < mu for hilltop inflation)

Starobinsky Model Parameters

• amp: Overall amplitude (sets inflation scale)
• decay: Silk damping scale
• phase: Acoustic oscillation phase
• freq: Sound horizon scale
• supp: ISW suppression strength