diff --git a/FastRng/Double/Distributions/Cauchy.cs b/FastRng/Double/Distributions/CauchyLorentz.cs
similarity index 94%
rename from FastRng/Double/Distributions/Cauchy.cs
rename to FastRng/Double/Distributions/CauchyLorentz.cs
index e5b75a1..96d0c04 100644
--- a/FastRng/Double/Distributions/Cauchy.cs
+++ b/FastRng/Double/Distributions/CauchyLorentz.cs
@@ -4,7 +4,7 @@ using System.Threading.Tasks;
 
 namespace FastRng.Double.Distributions
 {
-    public sealed class Cauchy : IDistribution
+    public sealed class CauchyLorentz : IDistribution
     {
         private double scale = 1.0;
         
diff --git a/FastRngTests/Double/Distributions/Cauchy.cs b/FastRngTests/Double/Distributions/CauchyLorentz.cs
similarity index 90%
rename from FastRngTests/Double/Distributions/Cauchy.cs
rename to FastRngTests/Double/Distributions/CauchyLorentz.cs
index 4cf6311..4952576 100644
--- a/FastRngTests/Double/Distributions/Cauchy.cs
+++ b/FastRngTests/Double/Distributions/CauchyLorentz.cs
@@ -8,7 +8,7 @@ using NUnit.Framework;
 namespace FastRngTests.Double.Distributions
 {
     [ExcludeFromCodeCoverage]
-    public class Cauchy
+    public class CauchyLorentz
     {
         public void TestCauchyDistribution01()
         {
@@ -24,7 +24,7 @@ namespace FastRngTests.Double.Distributions
             var rng = new MultiThreadedRng();
             var samples = new double[1_000];
             for (var n = 0; n < samples.Length; n++)
-                samples[n] = await rng.NextNumber(-1.0, 1.0, new FastRng.Double.Distributions.Cauchy());
+                samples[n] = await rng.NextNumber(-1.0, 1.0, new FastRng.Double.Distributions.CauchyLorentz());
             
             rng.StopProducer();
             Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min is out of range");
@@ -39,7 +39,7 @@ namespace FastRngTests.Double.Distributions
             var rng = new MultiThreadedRng();
             var samples = new double[1_000];
             for (var n = 0; n < samples.Length; n++)
-                samples[n] = await rng.NextNumber(0.0, 1.0, new FastRng.Double.Distributions.Cauchy());
+                samples[n] = await rng.NextNumber(0.0, 1.0, new FastRng.Double.Distributions.CauchyLorentz());
             
             rng.StopProducer();
             Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range");
@@ -51,7 +51,7 @@ namespace FastRngTests.Double.Distributions
         [Category(TestCategories.NORMAL)]
         public void ParameterTest01()
         {
-            var dist = new FastRng.Double.Distributions.Cauchy();
+            var dist = new FastRng.Double.Distributions.CauchyLorentz();
             
             Assert.Throws<ArgumentOutOfRangeException>(() => dist.Scale = 0);
             Assert.Throws<ArgumentOutOfRangeException>(() => dist.Scale = -78);
@@ -68,7 +68,7 @@ namespace FastRngTests.Double.Distributions
         [Category(TestCategories.NORMAL)]
         public async Task NoRandomNumberGenerator01()
         {
-            var dist = new FastRng.Double.Distributions.Cauchy();
+            var dist = new FastRng.Double.Distributions.CauchyLorentz();
             Assert.DoesNotThrowAsync(async () => await dist.GetDistributedValue());
             Assert.That(await dist.GetDistributedValue(), Is.NaN);
         }