diff --git a/ml4gw/waveforms/cbc/coefficients.py b/ml4gw/waveforms/cbc/coefficients.py
index 90521d6..5e7e2a8 100644
--- a/ml4gw/waveforms/cbc/coefficients.py
+++ b/ml4gw/waveforms/cbc/coefficients.py
@@ -9,7 +9,7 @@ def taylor_t2_timing_0pn_coeff(total_mass: BatchTensor, eta: BatchTensor):
     https://git.ligo.org/lscsoft/lalsuite/-/blob/master/lalsimulation/lib/LALSimInspiralPNCoefficients.c#L1528
     """
 
-    output = total_mass * G / torch.pow(torch.tensor(C), 3.0)
+    output = total_mass * G / C**3
     return -5.0 * output / (256.0 * eta)
 
 
@@ -28,5 +28,8 @@ def taylor_t2_timing_4pn_coeff(eta: BatchTensor):
 
 
 def taylor_t3_frequency_0pn_coeff(total_mass: BatchTensor):
+    """
+    https://git.ligo.org/lscsoft/lalsuite/-/blob/master/lalsimulation/lib/LALSimInspiralPNCoefficients.c#L1723
+    """
     output = total_mass * G / C**3.0
     return 1.0 / (8.0 * torch.pi * output)
diff --git a/tests/conftest.py b/tests/conftest.py
index 7c680e1..d76b027 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -83,7 +83,7 @@ def validate(whitened, highpass, lowpass, sample_rate, df):
 
 # number of samples to draw from
 # the distributions for testing
-N_SAMPLES = 100
+N_SAMPLES = 500
 
 
 @pytest.fixture(params=[256, 1024, 2048])
@@ -147,13 +147,13 @@ def distance(request):
 
 @pytest.fixture()
 def distance_far(request):
-    dist = Uniform(400, 3000)
+    dist = Uniform(500, 3000)
     return dist.sample((N_SAMPLES,))
 
 
 @pytest.fixture()
 def distance_close(request):
-    dist = Uniform(100, 400)
+    dist = Uniform(100, 500)
     return dist.sample((N_SAMPLES,))