pitszi 0.1.0

Python code to model ICM pressure fluctuations, generate Monte Carlo Sunyaev-Zeldovich data, and fit the model to input data

PITSZI: Probing ICM Turbulence from Sunyaev-Zel'dovich Imaging

Software dedicated to model intracluster medium pressure fluctuations, generate Monte Carlo Sunyaev-Zel'dovich data, and fit the model to input data.

Overview of the physical processes and structure of the code

Figure 1. Overview of the code structure.

Content

The pitszi directory contains the main code, including:

• model_main.py : main code entry defining the class Model

• model_library.py : subclass that defines model libraries and tools

• model_sampling.py : subclass that deals with the sampling of the model

• model_mock.py : subclass used to generate mock images

• data_main.py : class used to define input data and usefull associated functions

• inference_main.py : class used to constrain the model (from Model class) given input data (from Data class)

• utils.py : library of useful functions

• plotlib.py : library gathering plotting functions

• title.py : title for the package

• notebook : Repository where to find Jupyter notebook used for validation/example/developments.

Installation

TBD

Reference

TBD

History

• Version 0.1.0 --> Initial upload