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 (7.2%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: mkh44
  • Language: Python
  • Default Branch: main
  • Size: 90.8 KB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 1 year ago · Last pushed 10 months ago
Metadata Files
Readme Citation

README.md

Spectral Data Visualisation: Blackbody Radiation and Atmospheric Absorption

This python script simulates the emission spectrum of a blackbody, applies atmospheric absorption effects, including Rayleigh scattering, filters specific wavelength bands and visualises the resulting photon counts with error bars.

Installation

Install required Python libraries using:

bash pip install numpy pandas matplotlib

Usage

Use the script in the file: python photon_counting_non-linear_spectrum When prompted, enter the temperature of the blackbody in Kelvin or press Enter to use the default, the approximate surface temperature of the Sun (5780 K). You will then be prompted to enter the number of photons to use (default 1,000,000). Choose an atmospheric model; Rayleigh scattering only or Rayleigh scattering with Ozone absorption bands. Choose how many filters to apply (0-2). You will be prompted to enter the target wavelength and bandwidth for each filter. The resulting spectra will be plotted.

Roadmap

The program is modular and templated to allow for new features. In the future we plan to include more atmospheric models; humidity, time dependant models (sunset/sunrise) etc. and include options for other thermal sources not just blackbody. We also plan to generate spectra using actual observation data & compare their variance against each other.

Owner

  • Login: mkh44
  • Kind: user

Citation (CITATION.cff)

ccf-version: 1.0.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Hurley"
given-names: "Molly"
-family-names: "Creaner"
given-names: "Oisin"
orcid: "https://orcid.org/0000-0002-1080-0090"
title: "INTRA-2025-MH"
version: 0.1
date-released: 15-05-2025
url: https://github.com/mkh44/INTRA-2025-MH.git

GitHub Events

Total
  • Delete event: 4
  • Member event: 1
  • Push event: 47
  • Pull request event: 6
  • Create event: 6
Last Year
  • Delete event: 4
  • Member event: 1
  • Push event: 47
  • Pull request event: 6
  • Create event: 6

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 0
  • Total pull requests: 2
  • Average time to close issues: N/A
  • Average time to close pull requests: less than a minute
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 2
  • Average time to close issues: N/A
  • Average time to close pull requests: less than a minute
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
  • mkh44 (2)
Top Labels
Issue Labels
Pull Request Labels