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The method allows to estimate the\nunknown redshift distribution of a galaxy sample by measuring the amplitude of\nthe angular correlation of the galaxy positions with those of a reference\nsample with known redshifts.\n\nThis implementation is based on the idea (introduced by\nSchmidt et al. 2013, see `arXiv:1303.0292 \u003chttps://arxiv.org/abs/1303.0292\u003e`_)\nto measure the amplitude of the angular correlation functions by counting galaxy\npairs in a single, wide angular bin.\n\nThe code base, documentation and, python package are distributed at:\n\n- code: https://github.com/jlvdb/yet_another_wizz.git\n- docs: https://yet-another-wizz.readthedocs.io/\n- PyPI: https://pypi.org/project/yet_another_wizz/\n\n**Note:**\nIn the latest version, the code has been redesigned for large data sets and now\nsupports paralellism with MPI.\n\n**Citing:**\nWhen using this code in published work, please cite\n*van den Busch et al. (2020), A\u0026A 642, A200*\n(`arXiv:2007.01846 \u003chttps://arxiv.org/abs/2007.01846\u003e`_)\n\n\nInstallation\n------------\n\nThe `yet_another_wizz` package, which ships the python library ``yaw``, can be\ninstalled directly with `pip`::\n\n    pip install yet_another_wizz\n\nTo enable MPI support, the MPI runtime-environment must be installed and\nconfigured. The easiest way to install `yet_another_wizz` with MPI enabled is\nusing the provided setup for `conda`::\n\n    conda install -f environment.yml\n\nThis will creates a new environment called ``yaw`` and install the code together\nwith the ``openmpi`` implementation of MPI.\n\nAlternative use the pip install option::\n\n    pip install yet_another_wizz[mpi]\n\nOther optional dependencies (not installed by default) are:\n\n- ``matplotlib`` to enable plotting methods.\n- ``healpy`` to enable generating random samples based on `HealPix` masks.\n\n\nUsage\n-----\n\nFor more information about how to use the python code, please refer to the usage\nexamples in the official documentation.\n\nThere is also a `plugin interface \u003chttps://github.com/LSSTDESC/rail_yaw\u003e`_\nfor the Redshift Assessment Infrastructure Layers\n(`RAIL \u003chttps://github.com/LSSTDESC/rail\u003e`_) pipeline.\n\nPrevious versions of `yet_another_wizz` could also be run as a command line tool\nwhen installing the sparate command-line client `yet_another_wizz_cli`. This\ntool is deprecated as of version 3.0 but maybe be integrated directly into\n`yet_another_wizz` in a future release.\n\nFor bug reports or requesting new features, please use the repository's\n`GitHub issues page \u003chttps://github.com/jlvdb/yet_another_wizz/issues\u003e`_.\n\n\nMaintainers\n-----------\n\n- Jan Luca van den Busch\n  (*author*, Ruhr-Universität Bochum, Astronomisches Institut)\n\n\nAcknowledgements\n----------------\n\nJan Luca van den Busch acknowledges support from the European Research Council\nunder grant numbers 770935 as well as from the Max Planck Society and the\nAlexander von Humboldt Foundation in the framework of the Max Planck-Humboldt\nResearch Award endowed by the Federal Ministry of Education and Research and\nthe Deutsches Zentrum für Luft- und Raumfahrt (DLR), made possible by the\nBundesministerium für Wirtschaft und Klimaschutz, under project 50QE2305.\n\nThe authors also thank Hendrik Hildebrandt, Benjamin Joachimi, Angus H. Wright,\nand Chris Blake for vital feedback and support throughout the development of\nthis software.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjlvdb%2Fyet_another_wizz","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjlvdb%2Fyet_another_wizz","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjlvdb%2Fyet_another_wizz/lists"}