Explore projects
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the extract features steps: this step uses the threshold method to identify pixels that may be part of a sunspots
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[python] a module based on myplotlib to plot results from the mean-field dynamo code of R. Hollerbach (see Hollerback R. 2000)
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A REST API to submit ArchDescr and Generate Archives
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Post-commit hook for SVN to post a comment to the proper Jira.
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A machine learning library to detect solar spots on APPLAUSE solar plates: https://www.plate-archive.org/applause/
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K2SC de-trended light curves of stars in Open Clusters in K2. Used the re-processed, final version of the data products provided by MAST.
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The extract-features-properties step: in this step we compute the geometrical/morphological properties of each meaningful features
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Beckhoff TwinCAT 3 source (IEC 61131-3) source for the BMK telescope firmware.
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The select-meaningful-features step: in this step we set the meaningfulness of each plates, and of each feature
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the label-features step: in this step the pixels that may be part of a sunspots are grouped in regions and each region is labeled as a feature, the number of feature per plate is computed on the fly.
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repository for the photometric pipeline of the STELLA/WiFSIP telescope
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Kristin Riebe / thinkshop14-daiquiri
GNU Affero General Public License v3.0Customized Daiquiri instance for Thinkshop14
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