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
    Unable to calculate vocabulary similarity
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: winger
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 10.7 KB
Statistics
  • Stars: 2
  • Watchers: 1
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Created about 4 years ago · Last pushed over 2 years ago
Metadata Files
Readme License Citation

README.md

hawking_net

Owner

  • Name: Vladislav Isenbaev
  • Login: winger
  • Kind: user
  • Location: Mountain View
  • Company: Facebook

Citation (CITATION.cff)

cff-version: 1.1.0
message: "Please cite the following works when using this software: https://ui.adsabs.harvard.edu/abs/2023ascl.soft02008B"
authors:
- family-names: Bodnia
  given-names: Eve
- family-names: Isenbaev
  given-names: Vlad
- family-names: Colburn
  given-names: Kellan
- family-names: Swearngin
  given-names: Joe
- family-names: Bouwmeester
  given-names: Dirk
title: "HawkingNet: Finding Hawking points in the Cosmic Microwave Background"
version: PLACEHOLDER
date-released: PLACEHOLDER
identifiers:
 - type: "ascl-id"
   value: "2302.008"
 - type: "doi"
   value: PLACEHOLDER
 - type: "bibcode"
   value: "2023ascl.soft02008B"
abstract: "HawkingNet searches for Hawking points in large Cosmic Microwave Background (CMB) data sets. It is based on the deep residual network ResNet18 and consists of eighteen neural layers. Written in Paython, HawkingNet inputs the CMB data, processes the data through its internal network trained for data classification, and outputs the result in a form of a classification score that indicates how confident it is that a Hawking point is contained in the image patch."

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