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        "author": "Pieter van Dokkum, Jiaxuan Li",
        "author_email": "pieter.vandokkum@yale.edu, jiaxuan_li@pku.edu.cn",
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            "Development Status :: 4 - Beta",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Scientific/Engineering :: Astronomy"
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        "description": "# MRF: Multi-Resolution Filtering\nMulti-Resolution Filtering: a method for isolating faint, extended emission in [Dragonfly](http://dragonflytelescope.org) data and other low resolution images.\n\n![](https://readthedocs.org/projects/mrfiltering/badge/?version=latest)\n![](https://img.shields.io/badge/license-MIT-blue)\n![](https://img.shields.io/github/repo-size/astrojacobli/mrf)\n[![](https://img.shields.io/badge/arXiv-1910.12867-blue)](https://arxiv.org/abs/1910.12867)\n\n<p align=\"center\">\n  <img src=\"https://github.com/AstroJacobLi/mrf/blob/master/df-logo.png\" width=\"40%\">\n</p>\n\nDocumentation\n-------------\nPlease read the documentation and tutorial at https://mrfiltering.readthedocs.io/en/latest/.\n\nApplications\n------------\n- Subtract compact objects from low-resolution images (such as Dragonfly) to reveal low surface brightness features.\n- Characterize and subtract stellar halos in Dragonfly image.\n- Download corresponding high resolution image (HSC, CFHT) of given Dragonfly image.\n\nExamples\n------------\nThis example shows the tidal feature of NGC 5907, described in [van Dokkum et al. (2019)](https://ui.adsabs.harvard.edu/abs/2019arXiv190611260V/abstract). The images presented there used this algorithm. Full resolution Dragonfly images and MRF results can be found [here](https://www.pietervandokkum.com/ngc5907). Check [this notebook](https://github.com/AstroJacobLi/mrf/blob/master/examples/NGC5907/mrfTask-n5907.ipynb) for more details in how to do MRF using this Python package! :rocket: \n\n![MRF on NGC 5907](https://github.com/AstroJacobLi/mrf/raw/master/examples/NGC5907/n5907-demo.png)\n\nThis example shows how powerful MRF is in revealing low surface brightness features. The ultra-diffuse galaxy M101-DF3 is revealed by MRF after subtracting compact objects and bright star halos according to [van Dokkum et al. (2019)](https://arxiv.org/abs/1910.12867). Check [this notebook](https://github.com/AstroJacobLi/mrf/blob/master/examples/M101-DF3/mrfTask-m101df3.ipynb) for more details.\n\n![MRF on M101-DF3](https://github.com/AstroJacobLi/mrf/raw/master/examples/M101-DF3/m101-df3-demo.png)\n\nYou can also use [this script](https://github.com/AstroJacobLi/mrf/blob/master/examples/mrf-task.py) to run the MRF task. Take NGC 5907 as an example:\n\n```bash\npython mrf-task.py n5907_df_g.fits ngc5907_cfht_g.fits ngc5907_cfht_r.fits ngc5907-task.yaml --galcat='gal_cat_n5907.txt' --output='n5907_g'\n```\n\nInstallation\n------------\n\n```bash\nmkdir <install dir>\ncd <install dir>\ngit clone git@github.com:AstroJacobLi/mrf.git\ncd mrf\npython setup.py install\n```\n\nIf you don't have `git` configured, you can also download the `zip` file directly from https://github.com/AstroJacobLi/mrf/archive/master.zip, then unzip it and install in the same way. \n\nTo test whether `mrf` is installed successfully, import `mrf` in Python:\n\n```python\nimport mrf, os\nprint(os.path.isfile(os.path.join(mrf.__path__[0], 'iraf/macosx/x_images.e')))\n```\n`True` means you have installed `mrf` successfully! Bravo!\n\nIf you need to use ``lanczos`` or ``cubic`` interpolation, you must have [``galsim``](https://github.com/GalSim-developers/GalSim) installed. You will also need [``unagi``](https://github.com/dr-guangtou/unagi) to download HSC images. `Python>=3` is needed, but you can try whether `mrf` still works under `python2`. Check out the dependence of `mrf` depends from `requirements.txt`.\n\nCitation\n---------\n``mrf`` is a free software made available under the MIT License by [Pieter van Dokkum](http://pietervandokkum.com) (initial development) and [Jiaxuan Li](https://astrojacobli.github.io) (implementation, maintenance, and documentation). If you use this package in your work, please cite [van Dokkum et al. (2019)](https://arxiv.org/abs/1910.12867).\n\nAcknowledgement\n---------------\nMany scripts and snippets are from [`kungpao`](https://github.com/dr-guangtou/kungpao) (written by [Song Huang](http://dr-guangtou.github.io)). [Johnny Greco](http://johnnygreco.github.io) kindly shared his idea of the code structure. [Roberto Abraham](http://www.astro.utoronto.ca/~abraham/Web/Welcome.html) found the first few bugs of this package and provided useful solutions. Here we appreciate their help!\n\n\n\nCopyright 2019 [Pieter van Dokkum](http://pietervandokkum.com) and [Jiaxuan Li](http://astrojacobli.github.io).\n\n",
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