This code contains all the ingredients to make the so-called "Lobster plot", which is the dependence of the parameter m𝛽𝛽 on the presently unknown lightest
neutrino mass, with 3-sigma bands showing allowed regions given our knowledge about the neutrino mixing parameters. The bulk of this code was originally written by fromer Yale grad student Jeremy Cushman, and I updated and documented it, as well as added a couple of other functions.
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Table of Contents
You need the following software to be able to run this
- Python 3
- Jupyter (if you want to use the notebook, otherwise not needed)
- No installation needed, just clone and run!
The functions needed to make plots are contained in the nu_mass.py file, along with their docstrings. Examples of some of the different plots that can be made are contained in lobsterPlot.ipynb.
I am already providing the needed sampled arrays to produce the final plots, but you can produce your own files by running getArrays.py. It produces two files: normalArray.npy and invertedArray.npy, which contain the sampled values as well as the 3-sigma bands.
- Ge limit from GERDA (2020): Phys. Rev. Lett. 125, 252502
- Mo limit from CUPID-Mo (2021): Phys. Rev. Lett. 126, 181802
- Te limit from CUORE (202): Nature 604, 53–58 (2022)
- Xe limit from KamLand-Zen (2022): arXiv:2203.02139v1
This is an open source code, so please feel free to use it, and modify it, at your convenience. However, any contributions to this code greatly appreciated.
If you have a suggestion or correction, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement".
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/Feature) - Commit your Changes (
git commit -m 'Add some Feature') - Push to the Branch (
git push origin feature/Feature) - Open a Pull Request
Distributed under the MIT License. See LICENSE.txt for more information.
Jorge Torres - @toej93 - jorge.torresespinosa@yale.edu
Project Link: https://github.com/toej93/LobsterPlot
- Thanks a lot to Jeremy Cushman for writing the bulk of the code.
- Thanks to the CUORE@Yale folks for reviewing the code.