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README.rst

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ehtim (eht-imaging)
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===================
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Python modules for simulating and manipulating VLBI data and producing images with regularized maximum likelihood methods. This version is an early release so please submit a pull request or email achael@princeton.edu if you have trouble or need help for your application.
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Python modules for simulating and manipulating VLBI data and producing images with regularized maximum likelihood methods. This version is an early release so please raise an issue, submit a pull request, or email achael@princeton.edu if you have trouble or need help for your application.
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The package contains several primary classes for loading, simulating, and manipulating VLBI data. The main classes are the ``Image``, ``Movie``, ``Array``, ``Obsdata``, ``Imager``, and ``Caltable`` classes, which provide tools for loading images and data, producing simulated data from realistic u-v tracks, calibrating, inspecting, and plotting data, and producing images from data sets in various polarizations using various data terms and regularizers.
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The package contains several primary classes for loading, simulating, and manipulating VLBI data. The main classes are the ``Image``, ``Movie``, ``Array``, ``Obsdata``, ``Imager``, and ``Caltable`` classes, which provide tools for loading images and data, producing simulated data from realistic u-v tracks, calibrating, inspecting, and plotting data, and producing images from data sets in various polarizations using various data terms and regularizing functions.
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Installation
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pip install ehtim
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Incremental updates are developed on the `dev branch <https://github.com/achael/eht-imaging/tree/dev>`_. To use the very latest (unstable) code, checkout dev, change to the main eht-imaging directory, and run:
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Incremental updates are developed on the `dev branch <https://github.com/achael/eht-imaging/tree/dev>`_. To use the very latest (unstable) code, checkout the dev branch, change to the main eht-imaging directory, and run:
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.. code-block:: bash
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Some publications that use ehtim
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If you use ehtim in your publication, please cite both `Chael+ 2016 <http://adsabs.harvard.edu/abs/2016ApJ...829...11C>`_ and `Chael+ 2018 <http://adsabs.harvard.edu/abs/2018ApJ...857...23C>`_
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If you use ehtim in your publication, please cite `Chael+ 2018 <http://adsabs.harvard.edu/abs/2018ApJ...857...23C>`_
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Let us know if you use ehtim in your publication and we'll list it here!
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- Stochastic Optics: A Scattering Mitigation Framework for Radio Interferometric Imaging, `Johnson 2016 <https://arxiv.org/abs/1610.05326>`_
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- Quantifying Intrinsic Variability of Sgr A* using Closure Phase Measurements of the Event Horizon Telescope, `Roelofs et al. 2017 <https://arxiv.org/abs/1708.01056>`_
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- Reconstructing Video from Interferometric Measurements of Time-Varying Sources, `Bouman et al. 2017 <https://arxiv.org/abs/1711.01357>`_
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- Dynamical Imaging with Interferometry, `Johnson et al. 2017 <https://arxiv.org/abs/1711.01286>`_
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- First M87 Event Horizon Telescope Results IV: Imaging the Central Supermassive Black Hole, `The Event Horizon Telescope Collaboration 2019 <https://arxiv.org/abs/1906.11241>`_
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- VLBI Imaging of black holes via second moment regularization, `Issaoun et al. 2019 <https://arxiv.org/pdf/1908.01296.pdf>`_
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- Using evolutionary algorithms to model relativistic jets: Application to NGC 1052, `Fromm et al. 2019 <https://arxiv.org/pdf/1904.00106.pdf>`_
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- EHT-HOPS Pipeline for Millimeter VLBI Data Reduction, `Blackburn et al. 2019 <https://arxiv.org/pdf/1903.08832>`_
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- Multi-wavelength torus-jet model for Sagittarius A*, `Vincent et al. 2019 <https://arxiv.org/pdf/1902.01175>`_
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- Discriminating Accretion States via Rotational Symmetry in Simulated Polarimetric Images of M87, `Palumbo et al. 2020 <https://arxiv.org/pdf/2004.01751.pdf>`_
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- SYMBA: An end-to-end VLBI synthetic data generation pipeline. Simulating Event Horizon Telescope observations of M87, `Roelofs et al. 2020 <https://arxiv.org/pdf/2004.01161.pdf>`_
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- Monitoring the Morphology of M87* in 2009-2017 with the Event Horizon Telescope, `Wielgus et al. 2020 <https://arxiv.org/pdf/2009.11842>`_
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- EHT imaging of the archetypal blazar 3C 279 at extreme 20 microarcsecond resolution, `Kim et al. 2020 <https://www.aanda.org/articles/aa/pdf/2020/08/aa37493-20.pdf>`_
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Acknowledgements
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The oifits_new code used for reading/writing .oifits files is a slightly modified version of Paul Boley's package at `<http://astro.ins.urfu.ru/pages/~pboley/oifits>`_. The oifits read/write functionality is still being developed and may not work with all versions of python or astropy.

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