diff --git a/gstlal-calibration/bin/gstlal_compute_strain b/gstlal-calibration/bin/gstlal_compute_strain
index 0c701b5a704be32312153ecc59886de27feaf73d..6c1962760fe31a45573b1c98915dd93826b54520 100755
--- a/gstlal-calibration/bin/gstlal_compute_strain
+++ b/gstlal-calibration/bin/gstlal_compute_strain
@@ -511,7 +511,7 @@ fs_default = numpy.sqrt(complex(fs_squared_default))
 if "srcQ" in filters:
 	srcQ_default = complex(filters["srcQ"])
 elif "expectedsrcq" in TDCFConfigs:
-	srcQ_default = complex(TDCFConfigs["srcQ"])
+	srcQ_default = complex(TDCFConfigs["expectedsrcq"])
 else:
 	print("Warning: Could not find expected srcQ in filters file or config file.  Setting to zero.")
 	srcQ_default = 0 + 0j
diff --git a/gstlal-calibration/python/calibration_parts.py b/gstlal-calibration/python/calibration_parts.py
index a3aa0f62c02e4b573a3cb66170788859e74add16..0c1c3b9154ed9a46faea9d3226a923d0b465dc87 100644
--- a/gstlal-calibration/python/calibration_parts.py
+++ b/gstlal-calibration/python/calibration_parts.py
@@ -513,7 +513,7 @@ def bandstop(pipeline, head, rate, length = 1.0, f_low = 100, f_high = 400, filt
 	# Now apply the filter
 	return mkcomplexfirbank(pipeline, head, latency = int((length - 1) * 2 * filter_latency + 0.5), fir_matrix = [bandstop], time_domain = td)
 
-def linear_phase_filter(pipeline, head, shift_samples, num_samples = 257, gain = 1.0, filter_update = None, sample_rate = 2048, update_samples = 320, average_samples = 1, phase_measurement_frequency = 100, taper_length = 320, kernel_endtime = None, filter_time_shift = 0):
+def linear_phase_filter(pipeline, head, shift_samples, num_samples = 257, gain = 1.0, filter_update = None, sample_rate = 2048, update_samples = 320, average_samples = 1, phase_measurement_frequency = 100, taper_length = 320, kernel_endtime = None, filter_timeshift = 0):
 
 	# Apply a linear-phase filter to shift timestamps.  shift_samples is the number
 	# of samples of timestamp shift.  It need not be an integer.  A positive value
@@ -548,7 +548,7 @@ def linear_phase_filter(pipeline, head, shift_samples, num_samples = 257, gain =
 		else:
 			# Update filters at specified timestamps to ensure reproducibility
 			head = pipeparts.mkgeneric(pipeline, mkqueue(pipeline, head), "lal_tdwhiten", kernel = sinc_filter, latency = int(num_samples / 2), taper_length = taper_length, kernel_endtime = kernel_endtime)
-			filter_update = mkadaptivefirfilt(pipeline, filter_update, update_samples = update_samples, average_samples = average_samples, filter_sample_rate = sample_rate, phase_measurement_frequency = phase_measurement_frequency, filter_time_shift = filter_time_shift, tukey_param = 0.5)
+			filter_update = mkadaptivefirfilt(pipeline, filter_update, update_samples = update_samples, average_samples = average_samples, filter_sample_rate = sample_rate, phase_measurement_frequency = phase_measurement_frequency, filter_timeshift = filter_timeshift, tukey_param = 0.5)
 			filter_update.connect("notify::adaptive-filter", update_filter, head, "adaptive_filter", "kernel")
 			filter_update.connect("notify::filter-endtime", update_property_simple, head, "filter_endtime", "kernel_endtime")
 	return head