edits to README

README.rst

@@ -1,7 +1,7 @@
 ehtim (eht-imaging)
 ===================
 
-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@cfa.harvard.edu if you have trouble or need help for your application.
+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.
 
 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.
 
@@ -14,7 +14,7 @@ Download the latest version from the `GitHub repository <https://github.com/acha
 
     pip install .
 
-This will install most of the required libraries automatically (`numpy <http://www.numpy.org/>`_, `scipy <http://www.scipy.org/>`_, `matplotlib <http://www.matplotlib.org/>`_, `astropy <http://www.astropy.org/>`_, `ephem <http://pypi.python.org/pypi/pyephem/>`_, `future <http://pypi.python.org/pypi/future>`_, `h5py <http://www.h5py.org/>`_ ,`pandas <http://www.pandas.pydata.org/>`_ ).
+This will install most of the required libraries automatically (`numpy <http://www.numpy.org/>`_, `scipy <http://www.scipy.org/>`_, `matplotlib <http://www.matplotlib.org/>`_, `astropy <http://www.astropy.org/>`_, `ephem <http://pypi.python.org/pypi/pyephem/>`_, `future <http://pypi.python.org/pypi/future>`_, `h5py <http://www.h5py.org/>`_, and `pandas <http://www.pandas.pydata.org/>`_).
 
 **If you want to use fast fourier transforms, you will also need to separately install** `NFFT <https://github.com/NFFT/nfft>`_ **and its** `pynfft wrapper <https://github.com/ghisvail/pyNFFT/>`_. The simplest way is to use `conda <https://anaconda.org/conda-forge/pynfft/>`__ to install both:
 
@@ -25,7 +25,7 @@ This will install most of the required libraries automatically (`numpy <http://w
 
 Alternatively, first install NFFT manually following the instructions on the `readme <https://github.com/NFFT/nfft>`_, making sure to use the ``--enable-openmp`` flag in compilation. Then install `pynfft <https://github.com/ghisvail/pyNFFT/>`_, with pip, following the readme instructions to link the installation to where you installed NFFT. Finally, reinstall ehtim.
 
-**Certain eht-imaging functions require other external packages that are not automatically installed** In addition to pynfft, these include  `networkx <https://networkx.github.io/>`_ (for image comparison functions), `requests <http://docs.python-requests.org/en/master/>`_ (for dynamical imaging), and `scikit-image <https://scikit-image.org/>`_ (for Hough transforms). However, the vast majority of the code will work without these dependencies. 
+**Certain eht-imaging functions require other external packages that are not automatically installed.** In addition to pynfft, these include  `networkx <https://networkx.github.io/>`_ (for image comparison functions), `requests <http://docs.python-requests.org/en/master/>`_ (for dynamical imaging), and `scikit-image <https://scikit-image.org/>`_ (for Hough transforms). However, the vast majority of the code will work without these dependencies. 
 
 Documentation
 -------------
@@ -69,7 +69,7 @@ Let us know if you use ehtim in your publication and we'll list it here!
 
 - The Size, Shape, and Scattering of Sagittarius A* at 86 GHz: First VLBI with ALMA, `Issaoun et al. 2019 <https://arxiv.org/abs/1901.06226>`_
 
-- 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>`_
+- 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>`_
 
 Acknowledgements
 ----------------