ztf-data-filtering

Code to filter ZTF forced photometry data

https://github.com/hbgon/ztf-data-filtering

Science Score: 67.0%

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    Found 1 DOI reference(s) in README
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Repository

Code to filter ZTF forced photometry data

Basic Info
  • Host: GitHub
  • Owner: hbgon
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 12.2 MB
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  • Watchers: 2
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  • Open Issues: 0
  • Releases: 1
Created about 2 years ago · Last pushed 9 months ago
Metadata Files
Readme Citation

README.md

ZTF-Data-Filters:

While handling ZTF data, I faced certain challenges with forced photometry data, including issues like repeated observations on the same day and NaN values. To address these issues, I implemented filters and reliability parameters. In this repository, I strive to share a detailed account of how I navigated through these challenges, hoping that it proves valuable to others interested in working with the same survey.

About the code:

The file "Example_usage.ipynb" contains a complete example of how to operate on the data obtained from the ZTF forced photometry service. In the data folder, you will find the directories needed:

1) "plot" folder (output of the plotlc() function with all the light curve plots). 2) "ztffprawdata" folder (where the downloaded ZTF files should be (in the format {ra}{dec}.txt)). 3) "ztffpprocesseddata" folder (output of the createztftable() function). 4) "ztffpfinaldata" folder (filtered data, output of the plot_lc() function). 5) "coordinates.txt" file containing the coordinates, ra, and dec, identical to the names of the files in item 2.

Alt text

Contact me at:

hygor.benati@ufrgs.br

DOI

Owner

  • Login: hbgon
  • Kind: user

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Benati Gonçalves"
  given-names: "Hygor"
  orcid: "https://orcid.org/0009-0006-0492-9679"
title: "ZTF-Data-Filters"
version: 0.2.0
doi: 10.5281/zenodo.15511871
date-released: 2024-01-31
url: "https://doi.org/10.5281/zenodo.15511871"

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