Merge pull request #52 from robelgeda/main

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PetroFit · Jan 19, 2022 · 0787988 · 0787988
2 parents d58133c + d4c4911
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diff --git a/docs/images/concentration_index_vs_epsilon.png b/docs/images/concentration_index_vs_epsilon.png
diff --git a/docs/images/concentration_index_vs_n.png b/docs/images/concentration_index_vs_n.png
diff --git a/docs/images/f105w_concentration_index_vs_epsilon.png b/docs/images/f105w_concentration_index_vs_epsilon.png
diff --git a/docs/installation.rst b/docs/installation.rst
@@ -7,7 +7,7 @@ and install the package. There are two recommended ways to install the requireme
 `Conda <https://docs.conda.io/projects/conda/en/latest/user-guide/getting-started.html>`_ and
 `Docker <https://docs.docker.com/get-docker/>`_.
 
-PIP
+pip
 ****
 Petrofit can be installed using pip as follows:
 

diff --git a/docs/introduction.ipynb b/docs/introduction.ipynb
diff --git a/petrofit/models.py b/petrofit/models.py
@@ -5,8 +5,8 @@
 
 from scipy.ndimage import rotate
 from scipy.special import gammainc, gamma, gammaincinv
+from scipy.signal import convolve
 
-from astropy.convolution import convolve
 from astropy.nddata import block_reduce
 from astropy.modeling import FittableModel, Parameter, custom_model, models
 
@@ -135,7 +135,7 @@ def evaluate(self, *args, **kwargs):
             psf = self.psf
             if psf_p[0] != 0:
                 psf = rotate(psf, psf_p[0], reshape=False)
-            return convolve(model_image, psf)[y.astype(int), x.astype(int)]
+            return convolve(model_image, psf, mode='same')[y.astype(int), x.astype(int)]
 
     @property
     def model(self):