https://github.com/htjb/cmb-likelihood

Mock CMB likelihood
https://github.com/htjb/cmb-likelihood

Last synced: 2 days ago
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Mock CMB likelihood

• Host: GitHub
• URL: https://github.com/htjb/cmb-likelihood
• Owner: htjb
• Created: 2024-01-08T09:57:22.000Z (12 months ago)
• Default Branch: main
• Last Pushed: 2024-06-25T17:56:57.000Z (6 months ago)
• Last Synced: 2024-12-06T22:00:37.882Z (21 days ago)
• Language: Jupyter Notebook
• Size: 1.14 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Mock CMB Likelihood

## Introduction

| cmb_likelihood | Toy CMB Likelihood Code |

|----------------|-------------------------|

| Authors | Harry T.J. Bevins |

| Version | 0.2.1.beta |

| Homepage | |

|Documentation | |

## Installation

Currently can install the package with

```

git clone https://github.com/htjb/cmb-likelihood

pip install .

```

## The point

Given a C_l^{TT} data set and a noise power spectrum

```python

from cmblike.noise import planck_noise

from cmblike.data import get_data

planck, l = get_data().get_planck()

noise = planck_noise(l).calculate_noise()

```

the package allows users to;

- generate realisations of a CMB TT power spectrum 

    as if it had been observed by an 

    instrument with a user specified noise profile.

- generate theoretical models of the power spectrum

    with CAMB

- evaluate the likelihood for a theoretical model

    given a data set

## Citation