diff --git a/test/integration/test_extrinsic.py b/test/integration/test_extrinsic.py
index 988f6ea7..7cb5bf32 100644
--- a/test/integration/test_extrinsic.py
+++ b/test/integration/test_extrinsic.py
@@ -1,10 +1,3 @@
-import psutil
-p = psutil.Process()
-p.cpu_affinity([0])
-
-import os
-os.environ['CUDA_VISIBLE_DEVICES'] = '0'
-
 from astropy.time import Time
 
 import jax
@@ -14,7 +7,7 @@
 from jimgw.prior import CombinePrior, UniformPrior, CosinePrior, SinePrior, PowerLawPrior
 from jimgw.single_event.detector import H1, L1, V1
 from jimgw.single_event.likelihood import ZeroLikelihood
-from jimgw.transforms import BoundToUnbound
+from jimgw.transforms import BoundToUnbound, SingleSidedUnboundTransform
 from jimgw.single_event.transforms import MassRatioToSymmetricMassRatioTransform, SkyFrameToDetectorFrameSkyPositionTransform, DistanceToSNRWeightedDistanceTransform, GeocentricArrivalTimeToDetectorArrivalTimeTransform, GeocentricArrivalPhaseToDetectorArrivalPhaseTransform
 from flowMC.strategy.optimization import optimization_Adam
 
@@ -30,7 +23,7 @@
 ifos = [H1, L1, V1]
 
 M_c_prior = UniformPrior(10.0, 80.0, parameter_names=["M_c"])
-dL_prior = PowerLawPrior(1.0, 2000.0, 2.0, parameter_names=["d_L"])
+dL_prior = PowerLawPrior(10.0, 200.0, -2.0, parameter_names=["d_L"])
 t_c_prior = UniformPrior(-0.05, 0.05, parameter_names=["t_c"])
 phase_c_prior = UniformPrior(0.0, 2 * jnp.pi, parameter_names=["phase_c"])
 iota_prior = SinePrior(parameter_names=["iota"])
@@ -93,7 +86,7 @@ def calc_R_dets(ra, dec, psi, iota):
     BoundToUnbound(name_mapping = [["azimuth"], ["azimuth_unbounded"]], original_lower_bound=0.0, original_upper_bound=2 * jnp.pi),
     BoundToUnbound(name_mapping = [["phase_det"], ["phase_det_unbounded"]], original_lower_bound=0.0, original_upper_bound=2 * jnp.pi),
     BoundToUnbound(name_mapping = [["t_det"], ["t_det_unbounded"]], original_lower_bound=-0.1, original_upper_bound=0.1),
-    BoundToUnbound(name_mapping = [["d_hat"], ["d_hat_unbounded"]], original_lower_bound=d_hat_min, original_upper_bound=d_hat_max),
+    SingleSidedUnboundTransform(name_mapping = [["d_hat"], ["d_hat_unbounded"]], original_lower_bound=float(d_hat_min)),
 ]
 
 likelihood_transforms = []
@@ -119,9 +112,9 @@ def calc_R_dets(ra, dec, psi, iota):
     likelihood_transforms=likelihood_transforms,
     n_loop_training=n_loop_training,
     n_loop_production=1,
-    n_local_steps=5,
-    n_global_steps=5,
-    n_chains=4,
+    n_local_steps=1,
+    n_global_steps=1,
+    n_chains=10,
     n_epochs=n_epochs,
     learning_rate=learning_rate,
     n_max_examples=30,