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ruiyicheng/exoplanet_transiting_light_curve_hands_on-data

Exoplanet Transiting Light Curve Hands-On Data Overview This dataset contains the raw calibration frames, science FITS images, and transit-timing tables used in the hands-on exoplanet transit photometry materials for WASP-11b. GitHub Repository Use this dataset together with the code and documentation in the GitHub repository: exoplanet_transiting_light_curve_hands_on That repository contains: Calibrate.ipynb Light_curve_fitting.ipynb… See the full description on the dataset page: https://huggingface.co/datasets/ruiyicheng/exoplanet_transiting_light_curve_hands_on-data.

sourceHugging Faceupdated 5mo agoView on Hugging Face
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Dataset Card

Exoplanet Transiting Light Curve Hands-On Data

Overview

This dataset contains the raw calibration frames, science FITS images, and transit-timing tables used in the hands-on exoplanet transit photometry materials for WASP-11b.

GitHub Repository

Use this dataset together with the code and documentation in the GitHub repository:

exoplanet_transiting_light_curve_hands_on

That repository contains:

  • —Calibrate.ipynb
  • —Light_curve_fitting.ipynb
  • —Guide_for_AstroimageJ.pdf
  • —scripts/download_data.py

Repository Structure

text
bias/
flat/
mid_transit_time/
science_image/

What Is Included

  • —bias/: bias calibration frames
  • —flat/: flat calibration frames
  • —science_image/: WASP-11 science frames
  • —mid_transit_time/: ephemeris and historical timing tables

What Is Not Included

input/light_curve/light_curve.csv is intentionally not included in this dataset repo.

Students should generate that file themselves in AstroImageJ by following the guide in the GitHub repository, then save it locally as:

text
input/light_curve/light_curve.csv

Download

To place the files in the layout expected by the notebooks, either:

bash
hf download ruiyicheng/exoplanet_transiting_light_curve_hands_on-data \
  --repo-type dataset \
  --local-dir input

or use the helper script from the GitHub repository:

bash
python scripts/download_data.py