diff --git a/src/integrationtest/data_file_check_utilities.py b/src/integrationtest/data_file_check_utilities.py
index dc7cc5f..d506126 100644
--- a/src/integrationtest/data_file_check_utilities.py
+++ b/src/integrationtest/data_file_check_utilities.py
@@ -7,15 +7,36 @@
 from daqdataformats import FragmentErrorBits
 from hdf5libs import HDF5RawDataFile
 
-def get_TC_type(h5_file, record_id):
+def get_TC_types(h5_file, record_id) -> list:
+    type_list = []
     src_ids = h5_file.get_source_ids_for_fragment_type(record_id, 'Trigger_Candidate')
     if len(src_ids) == 1:
         for src_id in src_ids:
             frag = h5_file.get_frag(record_id, src_id);
             if frag.get_size() > 72:
-                tc = trgdataformats.TriggerCandidate(frag.get_data())
-                return trgdataformats.trigger_candidate_type_to_string(tc.data.type)
-    return "kUnknown"
+                tc_byte_offset = 0
+                while tc_byte_offset < frag.get_data_size():
+                    tc = trgdataformats.TriggerCandidate(frag.get_data(tc_byte_offset))
+                    type_list.append(trgdataformats.trigger_candidate_type_to_string(tc.data.type))
+                    tc_byte_offset += tc.sizeof()
+    return type_list
+
+# 17-Nov-2025, KAB: added a function to get the trigger type string (e.g. kTiming)
+# based on the trigger_type field in the TriggerRecordHeader. (I also modified the
+# data_file_checks that make use of the trigger type to use this new function now.)
+# Previously, the TC_type was used.  I kept the function that fetched the TC_type above,
+# but there may no longer be a need for it.  TC_type is not reliable when there is more
+# than one TC in the TriggerCandidate fragment in the TriggerRecord.  Multiple TCs in
+# a single TC fragment can happen when there are multiple triggers configured for a run,
+# and two or more of them occur at the same time.
+def get_trigger_type_string(h5_file, record_id):
+    if not h5_file.is_trigger_record_type():
+        return "kUnknown"
+    trig_rec = h5_file.get_trigger_record(record_id)
+    tr_header = trig_rec.get_header_data()
+    trigger_type = tr_header.trigger_type
+    type_enum_value = trgdataformats.TriggerCandidateData.Type(power_of_two_exponent(trigger_type))
+    return trgdataformats.trigger_candidate_type_to_string(type_enum_value)
 
 def get_record_ordinal_strings(record_id, full_record_list):
     ordinal_strings = []
diff --git a/src/integrationtest/data_file_checks.py b/src/integrationtest/data_file_checks.py
index ec6acee..c9d160e 100644
--- a/src/integrationtest/data_file_checks.py
+++ b/src/integrationtest/data_file_checks.py
@@ -4,7 +4,8 @@
 import re
 from hdf5libs import HDF5RawDataFile
 from integrationtest.data_file_check_utilities import (
-    get_TC_type,
+    get_TC_types,
+    get_trigger_type_string,
     get_record_ordinal_strings,
     get_fragment_count_limits,
     get_fragment_size_limits,
@@ -52,6 +53,18 @@ def sanity_check(datafile):
         if triggerrecordheader_count > 1:
             print(f"\N{POLICE CARS REVOLVING LIGHT} More than one TriggerRecordHeader in record {event} \N{POLICE CARS REVOLVING LIGHT}")
             passed=False
+
+    # check that the trigger_type in the TriggerRecordHeader matches one of the
+    # TriggerCandidates in the TC fragment
+    h5_file = HDF5RawDataFile(datafile.name)
+    records = h5_file.get_all_record_ids()
+    for rec in records:
+        trigger_type_string = get_trigger_type_string(h5_file, rec)
+        TC_type_list = get_TC_types(h5_file, rec)
+        if trigger_type_string not in TC_type_list:
+            print(f"\N{POLICE CARS REVOLVING LIGHT} The trigger_type in the TriggerRecordHeader ({trigger_type_string}) does not match any of the TriggerCandidates in the record ({TC_type_list}) \N{POLICE CARS REVOLVING LIGHT}")
+            passed=False
+
     if passed:
         print(f"\N{WHITE HEAVY CHECK MARK} Sanity-check passed for file {base_filename}")
     else:
@@ -158,11 +171,11 @@ def check_fragment_count(datafile, params):
     h5_file = HDF5RawDataFile(datafile.name)
     records = h5_file.get_all_record_ids()
     for rec in records:
-        tc_type_string = get_TC_type(h5_file, rec)
+        trigger_type_string = get_trigger_type_string(h5_file, rec)
         rno_strings = get_record_ordinal_strings(rec, records)
-        fragment_count_limits = get_fragment_count_limits(params, tc_type_string, rno_strings)
+        fragment_count_limits = get_fragment_count_limits(params, trigger_type_string, rno_strings)
         if (debug_mask & 0x1) != 0:
-            print(f'DataFileChecks Debug: the fragment count limits are {fragment_count_limits} for TC type {tc_type_string} and record ordinal strings {rno_strings}')
+            print(f'DataFileChecks Debug: the fragment count limits are {fragment_count_limits} for TC type {trigger_type_string} and record ordinal strings {rno_strings}')
         if fragment_count_limits[0] not in min_count_list:
             min_count_list.append(fragment_count_limits[0])
         if fragment_count_limits[1] not in max_count_list:
@@ -214,11 +227,11 @@ def check_fragment_sizes(datafile, params):
     h5_file = HDF5RawDataFile(datafile.name)
     records = h5_file.get_all_record_ids()
     for rec in records:
-        tc_type_string = get_TC_type(h5_file, rec)
+        trigger_type_string = get_trigger_type_string(h5_file, rec)
         rno_strings = get_record_ordinal_strings(rec, records)
-        size_limits = get_fragment_size_limits(params, tc_type_string, rno_strings)
+        size_limits = get_fragment_size_limits(params, trigger_type_string, rno_strings)
         if (debug_mask & 0x4) != 0:
-            print(f'DataFileChecks Debug: the fragment size limits are {size_limits} for TC type {tc_type_string} and record ordinal strings {rno_strings}')
+            print(f'DataFileChecks Debug: the fragment size limits are {size_limits} for TC type {trigger_type_string} and record ordinal strings {rno_strings}')
         if size_limits[0] not in min_size_list:
             min_size_list.append(size_limits[0])
         if size_limits[1] not in max_size_list:
@@ -267,11 +280,11 @@ def check_fragment_error_flags(datafile, params):
     h5_file = HDF5RawDataFile(datafile.name)
     records = h5_file.get_all_record_ids()
     for rec in records:
-        tc_type_string = get_TC_type(h5_file, rec)
+        trigger_type_string = get_trigger_type_string(h5_file, rec)
         rno_strings = get_record_ordinal_strings(rec, records)
-        error_bitmask = get_fragment_error_bitmask(params, tc_type_string, rno_strings)
+        error_bitmask = get_fragment_error_bitmask(params, trigger_type_string, rno_strings)
         if (debug_mask & 0x4) != 0:
-            print(f'DataFileChecks Debug: the fragment error bitmask is {hex(error_bitmask)} for TC type {tc_type_string} and record ordinal strings {rno_strings}')
+            print(f'DataFileChecks Debug: the fragment error bitmask is {hex(error_bitmask)} for TC type {trigger_type_string} and record ordinal strings {rno_strings}')
         if error_bitmask not in error_mask_list:
             error_mask_list.append(error_bitmask)
         if subdet_string == "":