SuperWASP Tools

This repo contains some convenience classes and notebooks for working with the SuperWASP Variable Stars project data. This is mainly intended to be a starting point for ad-hoc analysis.

swasputils.py contains classes for loading various data products into Pandas data frames with methods for carrying out common tasks.
aggregated_classifications.ipynb loads the aggregated classification results and displays a bar chart of the number of subjects in each class.
display_siblings.ipynb displays all the lightcurves for a given SWASP ID. You can also give it a Zooniverse ID and it will display the lightcurves for subjects with the same SWASP ID.
junk_vs_real_classifications.ipynb plots a few charts showing the daily numbers of real vs junk classifications in the filtering workflow.
zooniverse_classifications.ipynb plots an area chart showing the daily classification rate for each workflow.
zooniverse_retirement.ipynb plots an area chart showing the daily retirement rate for each workflow.
zooniverse_sets.ipynb plots a bar chart of the number of active subjects per subject set in each workflow.

These scripts assume you have the various .csv and .dat files saved in a folder, given in swasputils.DATA_LOCATION.

Name		Name	Last commit message	Last commit date
Latest commit History 160 Commits
crossref		crossref
long-periods		long-periods
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
__init__.py		__init__.py
aggregate_real_or_junk.ipynb		aggregate_real_or_junk.ipynb
aggregated_classifications.ipynb		aggregated_classifications.ipynb
classification_sky_coverage.ipynb		classification_sky_coverage.ipynb
display_siblings.ipynb		display_siblings.ipynb
experts.ipynb		experts.ipynb
folded_lightcurves.ipynb		folded_lightcurves.ipynb
junk_vs_real_classifications.ipynb		junk_vs_real_classifications.ipynb
junk_vs_real_cnn_scores.ipynb		junk_vs_real_cnn_scores.ipynb
junk_vs_real_users.ipynb		junk_vs_real_users.ipynb
known_long_period_pulsators.ipynb		known_long_period_pulsators.ipynb
known_sources.ipynb		known_sources.ipynb
multi_classification.ipynb		multi_classification.ipynb
period_count.ipynb		period_count.ipynb
period_distribution.ipynb		period_distribution.ipynb
plot.ipynb		plot.ipynb
retire_junk.ipynb		retire_junk.ipynb
swasputils.py		swasputils.py
vespa_amplitude_norm.ipynb		vespa_amplitude_norm.ipynb
vespa_classifications.ipynb		vespa_classifications.ipynb
vespa_corner_plots.ipynb		vespa_corner_plots.ipynb
vote_fractions.ipynb		vote_fractions.ipynb
zooniverse_aggregation.ipynb		zooniverse_aggregation.ipynb
zooniverse_classifications.ipynb		zooniverse_classifications.ipynb
zooniverse_consensus.ipynb		zooniverse_consensus.ipynb
zooniverse_retirement.ipynb		zooniverse_retirement.ipynb
zooniverse_sets.ipynb		zooniverse_sets.ipynb

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adammcmaster/superwasp-tools

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