https://github.com/meighenbergers/dmpoint

Scripts to test dark matter point source candidates using IceCube public PS data.
https://github.com/meighenbergers/dmpoint

dark-matter icecube point-source

Last synced: 3 months ago
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Scripts to test dark matter point source candidates using IceCube public PS data.

• Host: GitHub
• URL: https://github.com/meighenbergers/dmpoint
• Owner: MeighenBergerS
• License: mit
• Created: 2021-08-03T08:10:16.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2022-03-01T09:13:45.000Z (over 3 years ago)
• Last Synced: 2025-01-21T05:16:44.299Z (5 months ago)
• Topics: dark-matter, icecube, point-source
• Language: Jupyter Notebook
• Homepage:
• Size: 22.6 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

        
# dmpoint

Authors:

1. Stephan Meighen-Berger

## Table of contents

1. [Introduction](#Introduction)

2. [Data](#Data)

3. [Guide](#Guide)

4. [Citation](#Citation)

## Introduction 

Project to check if we can constrain dm using point source approaches

## Data 

This code was designed to use data from the public IceCube 10 year point source

data release:

IceCube Collaboration (2021): All-sky point-source IceCube data: years 2008-2018. Dataset.

DOI: 

## Guide 

The repository includes all scripts required to generate the plots from the

publication, except the atmospheric shower one. For that please use

[MCEq](https://github.com/afedynitch/MCEq).

The jupyter notebooks should guide through the required steps to analyze the data.

(As of yet not designed to be user-friendly. Given interest, this will be changed)

1. sky_hotspots_density.ipynb: generates the density maps given the IceCube data events

2. sky_hotspots_density_signal.ipynb: generates the density maps for a given signal

3. sky_hotspots_kmean.ipynb: performs a kmean test on the data set

4. cluster_reader.ipynb: Reads cluster generated data from the codes in the cluster folder

The cluster folder contains scripts to run batches on a cluster using slurm.

## Citation 

Please cite [arXiv:2109.07885](https://arxiv.org/abs/2109.07885) when using this code.