icecube---neutrinos-in-deep-ice--tracking-the-direction-of-neutrinos

Detecting the direction of neutrinos helps trace cosmic activity including gamma ray bursts, neutrino stars, exploding stars or black holes. An MLR model with statistical significance of coefficients is developed to predict the azimuth and zenith angles to track direction. Data comes from the "IceCube" detector, located deep within South Pole ice.

https://github.com/practice-pro/icecube---neutrinos-in-deep-ice--tracking-the-direction-of-neutrinos

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (4.8%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Detecting the direction of neutrinos helps trace cosmic activity including gamma ray bursts, neutrino stars, exploding stars or black holes. An MLR model with statistical significance of coefficients is developed to predict the azimuth and zenith angles to track direction. Data comes from the "IceCube" detector, located deep within South Pole ice.

Basic Info
  • Host: GitHub
  • Owner: practice-pro
  • License: bsd-3-clause
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 164 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

IceCube---Neutrinos-in-Deep-Ice--Tracking-the-direction-of-neutrinos

Detecting the direction of neutrinos helps trace cosmic activity including gamma ray bursts, neutrino stars, exploding stars or black holes. An MLR model with statistical significance of coefficients is developed to predict the azimuth and zenith angles to track direction. Data comes from the "IceCube" detector, located deep within South Pole ice. The calculation of Azimuth and Zenith angle would help figure out the orientation of earth with the source's plane and the exact position of the source.

Acknowledgments

This repository utilizes the following dataset:

  • IceCube - Neutrinos in Deep Ice:
    Kaggle competition dataset (2023) by Ashley Chow, Lukas Heinrich, Philipp Eller, Rasmus Ørsøe, and Sohier Dane.
    View the Dataset on Kaggle.

For citation, use the following BibTeX entry: ```bibtex @misc{icecube-neutrinos-in-deep-ice, author = {Ashley Chow and Lukas Heinrich and Philipp Eller and Rasmus Ørsøe and Sohier Dane}, title = {IceCube - Neutrinos in Deep Ice}, year = {2023}, howpublished = {\url{https://kaggle.com/competitions/icecube-neutrinos-in-deep-ice}}, note = {Kaggle} }

Use the citation metadata provided in the CITATION.cff file for more formats.

Owner

  • Login: practice-pro
  • Kind: user

Citation (CITATION.cff)

message: "If you use this repository, please cite it using the following details:"
authors:
  - family-names: Mallapragada
    given-names: Suma
    orcid: https://orcid.org/0009-0000-3441-6168
title: IceCube---Neutrinos-in-Deep-Ice--Tracking-the-direction-of-neutrinos
version: "1.0.0"
date-released: "2025-01-12"
url: https://github.com/practice-pro/IceCube---Neutrinos-in-Deep-Ice--Tracking-the-direction-of-neutrinos

GitHub Events

Total
  • Push event: 12
  • Create event: 2
Last Year
  • Push event: 12
  • Create event: 2

Dependencies

Kaggle Notebooks/description cran