diff --git a/tests/config/tl2/tl2.mat b/tests/config/tl2/tl2.mat
index b871250f..0d1a909d 100644
Binary files a/tests/config/tl2/tl2.mat and b/tests/config/tl2/tl2.mat differ
diff --git a/tests/config/tl2/tl2.yml b/tests/config/tl2/tl2.yml
index 8509e34d..8fef60f8 100644
--- a/tests/config/tl2/tl2.yml
+++ b/tests/config/tl2/tl2.yml
@@ -88,7 +88,7 @@ devices:
     name: CH1
     model:
       class: pyaml.magnet.linear_model.LinearMagnetModel
-      calibration_factor: 161e-6
+      calibration_factor: 3.222e-3
       unit: 1/m
       hardware_unit: A
       powerconverter: tl2/ps-c1/ch1/Current
@@ -96,7 +96,7 @@ devices:
     name: CH2
     model:
       class: pyaml.magnet.linear_model.LinearMagnetModel
-      calibration_factor: 161e-6
+      calibration_factor: 3.222e-3
       unit: 1/m
       hardware_unit: A
       powerconverter: tl2/ps-c1/ch2/Current
@@ -104,7 +104,7 @@ devices:
     name: CH3
     model:
       class: pyaml.magnet.linear_model.LinearMagnetModel
-      calibration_factor: 161e-6
+      calibration_factor: 3.222e-3
       unit: 1/m
       hardware_unit: A
       powerconverter: tl2/ps-c1/ch3/Current
@@ -112,7 +112,7 @@ devices:
     name: CH4
     model:
       class: pyaml.magnet.linear_model.LinearMagnetModel
-      calibration_factor: 161e-6
+      calibration_factor: 3.222e-3
       unit: 1/m
       hardware_unit: A
       powerconverter: tl2/ps-c1/ch4/Current
@@ -120,7 +120,7 @@ devices:
     name: CH5
     model:
       class: pyaml.magnet.linear_model.LinearMagnetModel
-      calibration_factor: 161e-6
+      calibration_factor: 3.222e-3
       unit: 1/m
       hardware_unit: A
       powerconverter: tl2/ps-c1/ch5/Current
@@ -128,7 +128,7 @@ devices:
     name: CH6
     model:
       class: pyaml.magnet.linear_model.LinearMagnetModel
-      calibration_factor: 161e-6
+      calibration_factor: 3.222e-3
       unit: 1/m
       hardware_unit: A
       powerconverter: tl2/ps-c1/ch6/Current
@@ -136,7 +136,7 @@ devices:
     name: CH7
     model:
       class: pyaml.magnet.linear_model.LinearMagnetModel
-      calibration_factor: 161e-6
+      calibration_factor: 3.222e-3
       unit: 1/m
       hardware_unit: A
       powerconverter: tl2/ps-c1/ch7/Current
@@ -144,7 +144,7 @@ devices:
     name: CH8
     model:
       class: pyaml.magnet.linear_model.LinearMagnetModel
-      calibration_factor: 161e-6
+      calibration_factor: 3.222e-3
       unit: 1/m
       hardware_unit: A
       powerconverter: tl2/ps-c1/ch8/Current
@@ -153,7 +153,7 @@ devices:
     name: CV0
     model:
       class: pyaml.magnet.linear_model.LinearMagnetModel
-      calibration_factor: 161e-6
+      calibration_factor: 3.222e-3
       unit: 1/m
       hardware_unit: A
       powerconverter: tl2/ps-c1/cv0/Current
@@ -161,7 +161,7 @@ devices:
     name: CV1
     model:
       class: pyaml.magnet.linear_model.LinearMagnetModel
-      calibration_factor: 161e-6
+      calibration_factor: 3.222e-3
       unit: 1/m
       hardware_unit: A
       powerconverter: tl2/ps-c1/cv1/Current
@@ -169,7 +169,7 @@ devices:
     name: CV3
     model:
       class: pyaml.magnet.linear_model.LinearMagnetModel
-      calibration_factor: 161e-6
+      calibration_factor: 3.222e-3
       unit: 1/m
       hardware_unit: A
       powerconverter: tl2/ps-c1/cv3/Current
@@ -177,7 +177,7 @@ devices:
     name: CV4
     model:
       class: pyaml.magnet.linear_model.LinearMagnetModel
-      calibration_factor: 161e-6
+      calibration_factor: 3.222e-3
       unit: 1/m
       hardware_unit: A
       powerconverter: tl2/ps-c1/cv4/Current
@@ -185,7 +185,7 @@ devices:
     name: CV5
     model:
       class: pyaml.magnet.linear_model.LinearMagnetModel
-      calibration_factor: 161e-6
+      calibration_factor: 3.222e-3
       unit: 1/m
       hardware_unit: A
       powerconverter: tl2/ps-c1/cv5/Current
@@ -193,7 +193,7 @@ devices:
     name: CV6
     model:
       class: pyaml.magnet.linear_model.LinearMagnetModel
-      calibration_factor: 161e-6
+      calibration_factor: 3.222e-3
       unit: 1/m
       hardware_unit: A
       powerconverter: tl2/ps-c1/cv6/Current
@@ -201,7 +201,7 @@ devices:
     name: CV7
     model:
       class: pyaml.magnet.linear_model.LinearMagnetModel
-      calibration_factor: 161e-6
+      calibration_factor: 3.222e-3
       unit: 1/m
       hardware_unit: A
       powerconverter: tl2/ps-c1/cv7/Current
@@ -209,7 +209,7 @@ devices:
     name: CV8
     model:
       class: pyaml.magnet.linear_model.LinearMagnetModel
-      calibration_factor: 161e-6
+      calibration_factor: 3.222e-3
       unit: 1/m
       hardware_unit: A
       powerconverter: tl2/ps-c1/cv8/Current
diff --git a/tests/tuning_tools/test_transfer_line.py b/tests/tuning_tools/test_transfer_line.py
index cd4dfe3e..7c5b422c 100644
--- a/tests/tuning_tools/test_transfer_line.py
+++ b/tests/tuning_tools/test_transfer_line.py
@@ -19,10 +19,10 @@ def test_transfer_line():
     orm_v = mat[9:, 8:]
 
     assert numpy.allclose(
-        orm_h[8, :], [1.49746082, 3.11487458, 10.60522905, -0.84014865, -19.27774502, -14.92314963, 1.29287711, 1.60223207]
+        orm_h[8, :], [1.49217029, 3.11318219, 10.60494678, -0.82242986, -19.2814236, -14.92682822, 1.28503979, 1.60584401]
     )
     assert numpy.allclose(
-        orm_v[8, :], [10.95115436, 10.56436269, 16.43975007, 32.48697172, 12.7218589, 10.31009581, 10.46821268, 2.60568252]
+        orm_v[8, :], [10.95203344, 10.56524176, 16.43659334, 32.50321299, 12.72373742, 10.3122307, 10.47365958, 2.61214668]
     )
 
     tl2.design.tool.orm.save("tl2.json")
@@ -37,11 +37,11 @@ def test_transfer_line():
     vcorr.strengths.set(vcorr.strengths.get() + std_kick * numpy.random.normal(size=len(vcorr)))
 
     orbit = tl2.design.diagnostic.bpms.get("BPMS").positions
-    assert numpy.allclose(numpy.std(orbit.get(), axis=0), [1.78601145e-05, 3.57671504e-05])
+    assert numpy.allclose(numpy.std(orbit.get(), axis=0), [1.78288459e-05, 3.57986943e-05])
 
     tl2.design.tool.orbit.correct()
     tl2.design.tool.orbit.correct()
 
-    assert numpy.allclose(numpy.std(orbit.get(), axis=0), [7.50786048e-07, 7.26005222e-07])
+    assert numpy.allclose(numpy.std(orbit.get(), axis=0), [7.51291713e-07, 7.24545959e-07])
 
     assert numpy.allclose(orbit.get()[2], tl2.design.diagnostic.bpm.get("BPM_QD5").positions.get())