diff --git a/README.md b/README.md
index fcd38a1..3e53a74 100644
--- a/README.md
+++ b/README.md
@@ -43,12 +43,20 @@ gleam_0856.template()
 gleam_0856.fft()
 ```
 
+Citing zfinder
+----------
+If you used zfinder in your paper, please be sure to cite it: (link when published)
+
+Contributing
+----------
+If you have found a bug, please raise an issue. Alternatively, if you know how to fix it, you can be become a contributor by submitting a pull request.
+
 Physical Methodology
 ----------
 
 A three dimensional `.fits` data cube of right ascension (ra), declination (dec), and frequency is required to find the redshift. Given a target ra and dec, the flux at the target location is calculated across all frequencies. To find the redshift of the source, zfinder searches for emission lines of an element or molecule. Carbon Monoxide (115.2712 GHz, ~2.6mm) is a tracer of cold gas - it is theorised that Active Galactic Nuclei (AGN) at high redshifts have lots of cold gas circling around the black hole. Emission lines appear at integer multiples of the corresponding fundamental frequency, meaning for CO emission lines, they appear at 230.5424 GHz, 345.8136 GHz, etc (theoretically up to infinity). As the redshift of a source increases, the new fundamental frequency becomes equal to 1/(1+z), where z is the redshift. Gaussians at integer multiples of the fundamental frequency are overlayed onto the flux data of the source and the chi-squared is calculated by incrementing z by small changes. The minimum chi-squared corresponds to the most likely redshift of the source. At high redshifts (z > ~5), there should be two emission lines present in the flux data. The presence of two or more evenly spaced emission lines indicates a single real redshift solution; there can only be one redshift at which the gaussians will overlay all lines. Having only one line is a clear indicator of lower redshift (z < ~5) but the redshift solution is also indeterminant as there can be several redshifts where only one emission line is present.
 
-Example Source: J085614 + 022400
+Example Source: SPT 0345-47
 ----------
 
 ### Template Fitting Method
@@ -57,12 +65,6 @@ Example Source: J085614 + 022400
   <img src="./figures/template_flux.png">
 </h1>
 
-### Template Fitting Animation 
-![GIF Description](./figures/Animations/flux_animation.gif)
-![GIF Description](./figures/Animations/redshift_animation.gif)
-![GIF Description](./figures/Animations/chi2_animation.gif)
-
-
 ### FFT Fitting Method
 <h1 align="left">
   <img src="./figures/fft_chi2.png">
@@ -73,13 +75,4 @@ Example Source: J085614 + 022400
 <h1 align="center">
   <img src="./figures/fft_per_pixel.png">
   <img src="./figures/zoomed_fft_per_pixel.png">
-</h1>
-
-
-Citing zfinder
-----------
-If you used zfinder in your paper, please be sure to cite it: (link when published)
-
-Contributing
-----------
-If you have found a bug, please raise an issue. Alternatively, if you know how to fix it, you can be become a contributor by submitting a pull request.
+</h1>
\ No newline at end of file
diff --git a/docs/conf.py b/docs/conf.py
index 95825e9..c2bd108 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -21,10 +21,6 @@
     'sslf'
     ]
 
-# from unittest.mock import MagicMock
-# for mod in autodoc_mock_imports:
-#     sys.modules[mod] = MagicMock()s
-
 sys.path.insert(0, os.path.abspath('..'))
 
 import sphinx_rtd_theme
diff --git a/docs/requirements.txt b/docs/requirements.txt
index b0c154d..a570ea2 100644
Binary files a/docs/requirements.txt and b/docs/requirements.txt differ
diff --git a/figures/fft_chi2.png b/figures/fft_chi2.png
index 86bc262..397a11e 100644
Binary files a/figures/fft_chi2.png and b/figures/fft_chi2.png differ
diff --git a/figures/fft_flux.png b/figures/fft_flux.png
index 2f7605f..e2e21d0 100644
Binary files a/figures/fft_flux.png and b/figures/fft_flux.png differ
diff --git a/figures/fft_per_pixel.png b/figures/fft_per_pixel.png
index c481d0d..ddec453 100644
Binary files a/figures/fft_per_pixel.png and b/figures/fft_per_pixel.png differ
diff --git a/figures/template_chi2.png b/figures/template_chi2.png
index 9e60986..ed46007 100644
Binary files a/figures/template_chi2.png and b/figures/template_chi2.png differ
diff --git a/figures/template_flux.png b/figures/template_flux.png
index ef92fea..126fd6b 100644
Binary files a/figures/template_flux.png and b/figures/template_flux.png differ
diff --git a/figures/zoomed_fft_per_pixel.png b/figures/zoomed_fft_per_pixel.png
index 18330d6..e5a0d42 100644
Binary files a/figures/zoomed_fft_per_pixel.png and b/figures/zoomed_fft_per_pixel.png differ
diff --git a/runs/GLEAM_0856/GLEAM_0856.ipynb b/runs/GLEAM_0856/GLEAM_0856.ipynb
index cfd95ad..19ae748 100644
--- a/runs/GLEAM_0856/GLEAM_0856.ipynb
+++ b/runs/GLEAM_0856/GLEAM_0856.ipynb
@@ -4,9 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Running ZFINDER on GLEAM_0856\n",
-    "\n",
-    "Source fits files hosted at: "
+    "# Running ZFINDER on GLEAM_0856"
    ]
   },
   {
@@ -20,8 +18,6 @@
     "fitsfile = '0856_cube_c0.4_nat_80MHz_taper3.fits'\n",
     "ra = '08:56:14.8'\n",
     "dec = '02:24:00.6'\n",
-    "# ra = '08:56:14.76'\n",
-    "# dec = '02:23:59.6'\n",
     "aperture_radius = 3\n",
     "transition = 115.271\n",
     "\n",
diff --git a/runs/GLEAM_0856_blob/GLEAM_0856_blob.ipynb b/runs/GLEAM_0856_blob/GLEAM_0856_blob.ipynb
index 34b01ed..c66d941 100644
--- a/runs/GLEAM_0856_blob/GLEAM_0856_blob.ipynb
+++ b/runs/GLEAM_0856_blob/GLEAM_0856_blob.ipynb
@@ -4,9 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Running ZFINDER on GLEAM_0856\n",
-    "\n",
-    "Source fits files hosted at: "
+    "# Running ZFINDER on GLEAM_0856"
    ]
   },
   {
diff --git a/runs/SPT_0345-47/SPT_0345-47.ipynb b/runs/SPT_0345-47/SPT_0345-47.ipynb
index 14c081b..c7e349e 100644
--- a/runs/SPT_0345-47/SPT_0345-47.ipynb
+++ b/runs/SPT_0345-47/SPT_0345-47.ipynb
@@ -4,9 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Running ZFINDER on SPT_0345-47\n",
-    "\n",
-    "Source SPT-0345_47 fitsfile hosted at: "
+    "# Running ZFINDER on SPT_0345-47"
    ]
   },
   {
@@ -306,7 +304,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 700x500 with 2 Axes>"
       ]
@@ -319,17 +317,17 @@
     "from zfinder import Plotter\n",
     "\n",
     "plot = Plotter()\n",
-    "plot.plot_heatmap_fromcsv(filename='fft_per_pixel.csv', subsize=17, flux_limit=0.012, contfile='SPT_0345-47.cont_map.fits')"
+    "plot.plot_heatmap_fromcsv(filename='fft_per_pixel.csv', subsize=31, flux_limit=0.012, contfile='SPT_0345-47.cont_map.fits')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 700x500 with 2 Axes>"
       ]
@@ -339,7 +337,7 @@
     }
    ],
    "source": [
-    "plot.plot_heatmap_fromcsv(filename='template_per_pixel.csv', subsize=19)"
+    "plot.plot_heatmap_fromcsv(filename='template_per_pixel.csv', subsize=31, flux_limit=0.012, contfile='SPT_0345-47.cont_map.fits')"
    ]
   }
  ],
@@ -359,7 +357,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.6"
+   "version": "3.11.2"
   }
  },
  "nbformat": 4,
diff --git a/setup.py b/setup.py
index bbf6ac7..5cfa939 100644
--- a/setup.py
+++ b/setup.py
@@ -1,6 +1,6 @@
 from setuptools import setup, find_packages
 
-VERSION = '1.0.0'
+VERSION = '1.0.2'
 DESCRIPTION = 'Redshift finding algorithm'
 LONG_DESCRIPTION = 'Find the redshift of high redshift radio galaxies'
 
@@ -13,7 +13,7 @@
     long_description_content_type="text/markdown",
     long_description=LONG_DESCRIPTION,
     packages=find_packages(),
-    install_requires=['numpy', 'matplotlib', 'scipy', 'astropy', 'photutils', 'PyAstronomy', 'sslf', 'radio_beam', 'sphinx', 'sphinx_rtd_theme'],
+    install_requires=['numpy', 'matplotlib', 'scipy', 'astropy', 'photutils', 'PyAstronomy', 'sslf', 'radio_beam', 'tqdm'],
     keywords=['python', 'visualisation', 'redshift', 'galaxy-evolution', 'cosmology', 
               'epoch-of-reionisation', 'radio-galaxies', 'active-galactic-nuclei',
               'high-redshift', 'galaxies', 'black-holes'],