diff --git a/examples/logo/B.png b/examples/logo/B.png
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diff --git a/examples/logo/I.png b/examples/logo/I.png
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diff --git a/examples/logo/L.png b/examples/logo/L.png
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diff --git a/examples/logo/Y.png b/examples/logo/Y.png
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index 0000000000000000000000000000000000000000..97c13a06e33e0e091d4fcacc78a46974cde5c20c
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diff --git a/examples/logo/a.jpg b/examples/logo/a.jpg
deleted file mode 100644
index a4bb8a503c5ab6d02fbead7e09d6ec58168ab741..0000000000000000000000000000000000000000
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diff --git a/examples/logo/k.jpg b/examples/logo/k.jpg
deleted file mode 100644
index 9ec4eaa8957cd155ef73db31a3361ad2134790e5..0000000000000000000000000000000000000000
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diff --git a/examples/logo/p.jpg b/examples/logo/p.jpg
deleted file mode 100644
index 8bd5c5f69fbffc1abad50f0bb8f7495a1c2f5c25..0000000000000000000000000000000000000000
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diff --git a/examples/logo/sample_logo.py b/examples/logo/sample_logo.py
index 59153aeeffeecc1fb4780d0ffccf5535c69d02e6..9340e34f5b4d1ede09d562650fa752ccf974b4f2 100644
--- a/examples/logo/sample_logo.py
+++ b/examples/logo/sample_logo.py
@@ -14,8 +14,8 @@ class Likelihood(bilby.Likelihood):
         return -1 / (self.interp(self.parameters['x'], self.parameters['y'])[0])
 
 
-for letter in ['t', 'u', 'p', 'a', 'k']:
-    img = 1 - io.imread('{}.jpg'.format(letter), as_grey=True)[::-1, :]
+for letter in ['B', 'I', 'L', 'Y']:
+    img = 1 - io.imread('{}.png'.format(letter), as_grey=True)[::-1, :]
     x = np.arange(img.shape[0])
     y = np.arange(img.shape[1])
     interp = si.interpolate.interp2d(x, y, img.T)
@@ -29,4 +29,4 @@ for letter in ['t', 'u', 'p', 'a', 'k']:
     result = bilby.run_sampler(
         likelihood=likelihood, priors=priors, sampler='nestle', npoints=5000,
         label=letter)
-    fig = result.plot_corner(quantiles=None, smooth1d=4)
+    fig = result.plot_corner(quantiles=None)
diff --git a/examples/logo/t.jpg b/examples/logo/t.jpg
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diff --git a/examples/logo/u.jpg b/examples/logo/u.jpg
deleted file mode 100644
index 859720c0ad7a197c1d31c4f319c75b205bc992d5..0000000000000000000000000000000000000000
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