Getting Started

Here is a series of user guides designed to get you started using PyFPT! They are show how to use PyFPT in the context of stochastic inflation, but many of the techniques used could be applied to other first-passage time problems.

They are also available to download as interactive Jupyter Notebooks in the ‘User Guide’ folder of the Gitbub page.

Contents:

• User Guide 1: Installing and First Simulation
  • Introduction
    • Installing PyFPT
  • Example Potential - Quadratic
    • Context - Stochastic \(\delta N\)-formalism and Physical Intuition
    • Interim Mass Case (dN)
  • Summary
• User Guide 2: Understanding the data
  • Introduction
    • Context - Importance Sampling
  • Plotting the Raw Data (save_data)
  • Combining Data Sets
    • Storing Results and Loops (bins)
    • Bin Truncation (min_bin_size)
    • Plotting the Combined Data
    • Other Potentials and Masses
  • Summary
• User Guide 3: Diffusion Domination
  • Introduction
  • Set Up and UV Boundary (x_r)
  • Simulating Finite \(\phi_{\rm UV}\)
    • Estimator Used
    • Using The Naïve Method
    • Plotting
    • Raw Data Analysis
    • Analytical Comparisons for Finite \(\phi_{\rm UV}\)
  • Simulating \(\phi_{\rm UV} \rightarrow \infty\)
    • Analytical comparison \(\phi_{\rm UV} \rightarrow \infty\)
  • Advanced Use Cases and Your Contribution