data-reduction-pipeline
A data reduction pipeline for reducing datasets from the 1.8-m telescope at Mt. John Observatory.
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (5.0%) to scientific vocabulary
Repository
A data reduction pipeline for reducing datasets from the 1.8-m telescope at Mt. John Observatory.
Basic Info
- Host: GitHub
- Owner: awesomecosmos
- Language: Python
- Default Branch: main
- Size: 6.76 MB
Statistics
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 8
- Releases: 0
Metadata Files
README.md
ASTEROID (AweSome code To rEduce non-moa astRonOmIcal Datasets) - A Data Reduction Pipeline for Mt. John's 1.8-m Telescope
This GitHub repository contains all relevant files and outputs relating to this project, which is a data reduction pipeline for reducing datasets from the 1.8-m telescope at Mt. John Observatory.
Developer: Aayushi Verma
Develepment: Mar. 2021 - current

Poster presentation for this project, presented at Royal Astronomical Society of New Zealand (RASNZ) Annual Conference in July 2021.

Owner
- Name: Aayushi Verma
- Login: awesomecosmos
- Kind: user
- Location: United States
- Website: https://www.linkedin.com/in/aayushi-verma
- Twitter: awesomecosmos1
- Repositories: 6
- Profile: https://github.com/awesomecosmos
Data Scientist | Astronomer | Researcher | Pace University - MS in Data Science '23
Citation (CITATION.cff)
# YAML 1.2
---
authors:
-
family-names: Verma
given-names: "Aayushi A."
orcid: "https://orcid.org/0000-0003-2396-4569"
cff-version: "1.1.0"
keywords:
- "data reduction"
message: "If you use this software, please cite it using these metadata."
title: ASTEROID
version: "0.0.1"
...
GitHub Events
Total
- Watch event: 1
Last Year
- Watch event: 1
Dependencies
- astropy *
- ccdproc *
- glob *
- matplotlib *
- numpy *
- os *
- pathlib *
- scipy *
- seaborn *