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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# BlendingToolKit\n\n[![tests](https://github.com/LSSTDESC/BlendingToolKit/actions/workflows/pytest.yml/badge.svg?branch=main)](https://github.com/LSSTDESC/BlendingToolKit/actions/workflows/pytest.yml)\n[![notebooks](https://github.com/LSSTDESC/BlendingToolKit/actions/workflows/notebooks.yml/badge.svg?branch=main)](https://github.com/LSSTDESC/BlendingToolKit/actions/workflows/notebooks.yml)\n[![docs](https://github.com/LSSTDESC/BlendingToolKit/actions/workflows/docs.yml/badge.svg?branch=main)](https://github.com/LSSTDESC/BlendingToolKit/actions/workflows/docs.yml)\n[![codecov](https://codecov.io/gh/LSSTDESC/BlendingToolKit/branch/main/graph/badge.svg)](https://codecov.io/gh/LSSTDESC/BlendingToolKit)\n[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit\u0026logoColor=white)](https://github.com/pre-commit/pre-commit)\n[![PyPI][pypi-badge]][pypi]\n\n[pypi-badge]: \u003chttps://img.shields.io/pypi/pyversions/blending-toolkit?color=yellow\u0026logo=pypi\u003e\n[pypi]: \u003chttps://pypi.org/project/blending-toolkit/\u003e\n\n## Summary\n\nFramework for fast generation and analysis of galaxy blends catalogs. This toolkit is a convenient way of\nproducing multi-band postage stamp images of blend scenes and evaluate the performance of deblending algorithms.\n\nDocumentation can be found at \u003chttps://lsstdesc.org/BlendingToolKit/index.html\u003e.\n\n## Workflow\n\n\u003cimg src=\"docs/source/images/diagram.png\" alt=\"btk workflow\" width=\"550\"/\u003e\n\nIn red are components of the BTK pipeline that are intended to be easily customized by users to meet their\nscience needs.\n\n## Code example\n\nIn what follows we illustrate how to use BTK to generate blended images, run a deblender on them, and\nevaluate the performance of the deblender using metrics. For more details on this example see our\nquick-start notebook at `notebooks/00-quickstart.ipynb`.\n\n```python\nimport btk\n\n# setup CATSIM catalog\ncatalog_name = \"../data/input_catalog.fits\"\ncatalog = btk.catalog.CatsimCatalog.from_file(catalog_name)\n\n# setup survey parameters\nsurvey = btk.survey.get_surveys(\"LSST\")\n\n# setup sampling function\n# this function determines how to organize galaxies in catalog into blends\nstamp_size = 24.0\nsampling_function = btk.sampling_functions.DefaultSampling(\n    catalog=catalog, max_number=5, max_mag=25.3, stamp_size=stamp_size\n)\n\n# setup generator to create batches of blends\nbatch_size = 100\ndraw_generator = btk.draw_blends.CatsimGenerator(\n    catalog, sampling_function, survey, batch_size\n)\n\n# get batch of blends\nblend_batch = next(draw_generator)\n\n# setup deblender (we use SEP in this case)\ndeblender = btk.deblend.SepSingleBand(max_n_sources=5,\n                          use_band=2 # measure on 'r' band\n                          )\n\n# run deblender on generated blend images (all batches)\ndeblend_batch = deblender(blend_batch)\n\n# setup matcher\nmatcher = btk.match.PixelHungarianMatcher(pixel_max_sep=5.0 # maximum separation in pixels for matching\n)\n\n# match true and predicted catalogs\ntruth_catalogs = blend_batch.catalog_list\npred_catalogs = deblend_batch.catalog_list\nmatching = matcher(truth_catalogs, pred_catalogs) # object with matching information\n\n# compute detection performance on this batch\nrecall = btk.metrics.detection.Recall(batch_size)\nprecision = btk.metrics.detection.Precision(batch_size)\nprint(\"Recall: \", recall(matching.tp, matching.t, matching.p))\nprint(\"Precision: \", precision(matching.tp, matching.t, matching.p))\n```\n\n## Installation\n\nBTK is pip installable, with the following command:\n\n```bash\npip install blending-toolkit\n```\n\nIn case of any issues and for details of required packages, please see the more detailed installation instructions [here](https://lsstdesc.org/BlendingToolKit/install.html).\n\n## Contributing\n\nEveryone can contribute to this project, please refer to the [CONTRIBUTING.md](CONTRIBUTING.md) document for details.\n\nIn short, to interact with the project you can:\n\n- Ask or Answer questions on the [Discussions Q\u0026A page](https://github.com/LSSTDESC/BlendingToolKit/discussions).\n- Report a bug by opening a [GitHub issue](https://github.com/LSSTDESC/BlendingToolKit/issues).\n- Open a [GitHub issue](https://github.com/LSSTDESC/BlendingToolKit/issue) or [Discussions](https://github.com/LSSTDESC/BlendingToolKit/discussions) to ask for feedback on a planned contribution.\n- Submit a [Pull Request](https://github.com/LSSTDESC/BlendingToolKit/pulls) to contribute to the code.\n\nIssues marked with `contributions welcome` or `good first issue` are particularly good places to start. These are great ways to learn more about the inner workings of BTK.\n\n## Citing BTK\n\nIf you use this software for your research, please cite using the following bibtex entry:\n\n```\n@article{article,\nauthor = {Mendoza, Ismael and Torchylo, Andrii and Sainrat, Thomas and Guinot, Axel and Boucaud, Alexandre and Paillasa, Maxime and Avestruz, Camille and Adari, Prakruth and Aubourg, Eric and Biswas, Biswajit and Buchanan, James and Burchat, Patricia and Doux, Cyrille and Joseph, Remy and Kamath, Sowmya and Malz, Alex and Merz, Grant and Miyatake, Hironao and Roucelle, Cécile and Zhang, Tianqing},\nyear = {2025},\nmonth = {02},\npages = {},\ntitle = {The Blending ToolKit: A simulation framework for evaluation of galaxy detection and deblending},\nvolume = {8},\njournal = {The Open Journal of Astrophysics},\ndoi = {10.33232/001c.129699}\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flsstdesc%2Fblendingtoolkit","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flsstdesc%2Fblendingtoolkit","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flsstdesc%2Fblendingtoolkit/lists"}