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notebooks

A collection point for Commissioning related Jupyter notebooks

File name Contributor Description
eotestanalysis_example.ipynb Brian Staldar and Kevin Reil First try at PTC analysis
linked_plots Michale Rueter, WIlliam O'Mullane, Mattias Carascop Kind Contains notebooks using bokeh and holoviews including selection leading to a dynamic histogram
astrometry_precision.ipynb Peter Yoachim estimate final survey astrometry precision
diffim-analysis.ipynb Leanne Guy This notebook pulls two images, makes a differnce inage and displays it in firefly.
finding_docs.ipynb Phil Marshall Cheat sheet for finding docs, plus how to use the whereis function.
firefly_demo.ipynb Simon Kreughof Shows you how to connect to firefly and show an image from an notebook
flag_analysis.ipynb Angelo Fausti Read a couple of patches from HSC reprocessing on HSC-I and HSC-Y filters, compute the fraction of objects rejected by each quality flag and plot them to find spatial patterns in the data
good_quality_selection_sashabrownsberger.ipynb Sasha Brownsberger Trims objects in user selected coadds based on user choice of flags for all of a user specified set of filters. Optionally, further trims based on object appearing as a star/galaxy. Returns set of astropy tables. Should be merged with flag_analysis.ipynb.
HSC_colorcolor.ipynb Sam Schmidt, Chris Stubbs Grabs grizy mags and errors in a single tract, plots colcol
hsc_cosmos_match.ipynb
image_quality_demo.ipynb Keith Bechtol Shows how to compute several image quality metrics (PSF model, galaxy shapes, ellipticities) and visualize results
matching.ipynb
postage_stamp.ipynb
psf_shape_simon.ipynb
psf_size_distribution.ipynb
round_trip_astrometry.ipynb
Spurious_match_catalog.ipynb
synpipe_examine_output.ipynb Jeff Carlin, Michael Reuter Beginning exploration of completeness as a function of magnitude using SynPipe outputs
wcs_check.ipynb
WL_nulltest.ipynb Chris Walter, Keith Bechtol Null Tests for WL
focal_plane.ipynb Keith Bechtol, Angelo Fausti Computing and visualizing performance metrics as a function of focal plane position for a set of individual visits
star-galaxy.ipynb Chris Walter, Sam Schmidt Star Galaxy Seperation
Papermill_images_color_9615.ipynb Andy Connolly Using papermill to set parameters within a notebook from the commandline and then run it to generate a new output notebook that has been run with those parameters
Summary.ipynb Andy Connolly Using papermill to create a summary of many runs of a notebook and any output figures or metric values that might have been generated
get_QE_curve.ipynb Simon Krughoff Demonstrates interaction with QE curves stored in a butler calib registry

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A collection point for Commissioning related Jupyter notebooks

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