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LFB-MRI · Jan 21, 2024 · d84dbd3 · d84dbd3
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diff --git a/documentation/thesis/build_out/thesis.pdf b/documentation/thesis/build_out/thesis.pdf
diff --git a/.../generated_images/border_1D_sensor_construction_with_universal_magnet_mount.png b/.../generated_images/border_1D_sensor_construction_with_universal_magnet_mount.png
diff --git a/...tation/thesis/generated_images/border_1D_sensor_schematic_and_circuit_board.png b/...tation/thesis/generated_images/border_1D_sensor_schematic_and_circuit_board.png
diff --git a/...ges/border_3D_plot_of_an_N45_12x12x12_magnet_using_the_3D_fullsphere_sensor.png b/...ges/border_3D_plot_of_an_N45_12x12x12_magnet_using_the_3D_fullsphere_sensor.png
diff --git a/...rated_images/border_Example_MRP_proxy_module_usage,_using_two_remote_(+pc)s.png b/...rated_images/border_Example_MRP_proxy_module_usage,_using_two_remote_(+pc)s.png
diff --git a/...xample_full_sphere_plot_of_an_measurement_using_the_MRPVisualisation_module.png b/...xample_full_sphere_plot_of_an_measurement_using_the_MRPVisualisation_module.png
diff --git a/...ample_hallbach_ring_magnet_with_cutouts_for_eight_cubical_permanent_magnets.png b/...ample_hallbach_ring_magnet_with_cutouts_for_eight_cubical_permanent_magnets.png
diff --git a/...mple_result_of_an_step_execution_tree_from_user_defined_processing_pipeline.png b/...mple_result_of_an_step_execution_tree_from_user_defined_processing_pipeline.png
diff --git a/...implementation_using_two_Nema17_stepper_motors_in_a_polar_coordinate_system.png b/...implementation_using_two_Nema17_stepper_motors_in_a_polar_coordinate_system.png
diff --git a/...es/border_Generated_hallbach_array_with_generated_cutouts_for_eight_magnets.png b/...es/border_Generated_hallbach_array_with_generated_cutouts_for_eight_magnets.png
diff --git a/...is/generated_images/border_MRP_(+cli)_output_to_configure_a_new_measurement.png b/...is/generated_images/border_MRP_(+cli)_output_to_configure_a_new_measurement.png
diff --git a/...xecution_of_the _user_defined_pipeline,_using_find_similar_values_algorithm.png b/...xecution_of_the _user_defined_pipeline,_using_find_similar_values_algorithm.png
diff --git a/...ation/thesis/generated_images/border_MRP_library_module_high_level_overview.png b/...ation/thesis/generated_images/border_MRP_library_module_high_level_overview.png
diff --git a/...RP_library_test_results_for_different_submodules_executed_in_PyCharm_(+ide).png b/...RP_library_test_results_for_different_submodules_executed_in_PyCharm_(+ide).png
diff --git a/documentation/thesis/generated_images/border_MRPlib_COMPLETE_FLOW.png b/documentation/thesis/generated_images/border_MRPlib_COMPLETE_FLOW.png
diff --git a/documentation/thesis/generated_images/border_MRPlib_Proxy_Module.png b/documentation/thesis/generated_images/border_MRPlib_Proxy_Module.png
diff --git a/...images/border_MagneticReadoutProcessing_documentation_hosted_on_ReadTheDocs.png b/...images/border_MagneticReadoutProcessing_documentation_hosted_on_ReadTheDocs.png
diff --git a/...is/generated_images/border_MagneticReadoutProcessing_library_hosted_on_PyPi.png b/...is/generated_images/border_MagneticReadoutProcessing_library_hosted_on_PyPi.png
diff --git a/...mages/border_Mechanical_components_for_the_1D_sensor_using_3D_printed_parts.png b/...mages/border_Mechanical_components_for_the_1D_sensor_using_3D_printed_parts.png
diff --git a/.../thesis/generated_images/border_Multi_sensor_synchronisation_wiring_example.png b/.../thesis/generated_images/border_Multi_sensor_synchronisation_wiring_example.png
diff --git a/documentation/thesis/generated_images/border_Query_opmode_using_(+cli).png b/documentation/thesis/generated_images/border_Query_opmode_using_(+cli).png
diff --git a/...mentation/thesis/generated_images/border_Query_sensors_b_value_using_(+cli).png b/...mentation/thesis/generated_images/border_Query_sensors_b_value_using_(+cli).png
diff --git a/documentation/thesis/generated_images/border_Sensors_(+cli).png b/documentation/thesis/generated_images/border_Sensors_(+cli).png
diff --git a/...hesis/generated_images/border_Ten_numbered_test_magnets_in_separate_holders.png b/...hesis/generated_images/border_Ten_numbered_test_magnets_in_separate_holders.png
diff --git a/...mages/border_Unified_sensor_firmware_multi_sensor_synchronisation_procedure.png b/...mages/border_Unified_sensor_firmware_multi_sensor_synchronisation_procedure.png
diff --git a/...enerated_images/border_Unified_sensor_firmware_simplified_program_structure.png b/...enerated_images/border_Unified_sensor_firmware_simplified_program_structure.png
diff --git a/...d_images/border_Voltcraft_GM70_teslameter_with_custom_(+pc)_interface_board.png b/...d_images/border_Voltcraft_GM70_teslameter_with_custom_(+pc)_interface_board.png
diff --git a/...tation/thesis/generated_images/border_example_measurement_analysis_pipeline.png b/...tation/thesis/generated_images/border_example_measurement_analysis_pipeline.png
diff --git a/...r_pipeline_output_files_after_running_example_pipeline_on_a_set_of_readings.png b/...r_pipeline_output_files_after_running_example_pipeline_on_a_set_of_readings.png
diff --git a/documentation/thesis/thesis.pdf b/documentation/thesis/thesis.pdf
diff --git a/documentation/thesis/thesis_document.md b/documentation/thesis/thesis_document.md
@@ -1512,6 +1512,10 @@ Here it can be seen that there are measured values with larger deviations (see m
 On the right-hand side \ref{MRP_evaluation_result_after_execution_of_the _user_defined_pipeline,_using_find_similar_values_algorithm.png}, the measured values are plotted as a result of the filter algorithm. As the `IP_return_count` parameter was set to four, only the four most similar measurements were exported here.
 It can be seen from the plotted `CoG [uT]` deviation values, that these are closest to an ideal Magnet with a `CoG` value of 0uT. This ideal value was calculated with the function `MRP.MRPSimulation.generate_simulated_reading`, with the same measurement parameters (magnet type, dimensions, sensor distance) as they correspond to the mechanical structure of the used hardware sensor \ref{d-fullsphere}.
 
+
+If the alternative filter algorithm from chapter `Alternative Filter Algorithm Implementation` \ref{alternative-filter-algorithm-implementation} is executed here, the same result is returned if the magnet measurement with (+id) `5:0` is used as the reference magnet.
+
+
 The filter algorithm implemented by the user was thus successfully executed using the user-programmable pipeline. 
 The calculation result was successfully verified using raw measurement data and the final result of the algorithm.
 

diff --git a/documentation/thesis/thesis_document.tex b/documentation/thesis/thesis_document.tex
@@ -2750,6 +2750,12 @@ \section{Execution of Analysis
 distance) as they correspond to the mechanical structure of the used
 hardware sensor \ref{d-fullsphere}.
 
+If the alternative filter algorithm from chapter
+\passthrough{\lstinline!Alternative Filter Algorithm Implementation!}
+\ref{alternative-filter-algorithm-implementation} is executed here, the
+same result is returned if the magnet measurement with \gls{id}
+\passthrough{\lstinline!5:0!} is used as the reference magnet.
+
 The filter algorithm implemented by the user was thus successfully
 executed using the user-programmable pipeline. The calculation result
 was successfully verified using raw measurement data and the final

diff --git a/documentation/thesis/thesis_document_tmp.md b/documentation/thesis/thesis_document_tmp.md
@@ -1579,6 +1579,10 @@ Here it can be seen that there are measured values with larger deviations (see m
 On the right-hand side \ref{MRP_evaluation_result_after_execution_of_the _user_defined_pipeline,_using_find_similar_values_algorithm.png}, the measured values are plotted as a result of the filter algorithm. As the `IP_return_count` parameter was set to four, only the four most similar measurements were exported here.
 It can be seen from the plotted `CoG [uT]` deviation values, that these are closest to an ideal Magnet with a `CoG` value of 0uT. This ideal value was calculated with the function `MRP.MRPSimulation.generate_simulated_reading`, with the same measurement parameters (magnet type, dimensions, sensor distance) as they correspond to the mechanical structure of the used hardware sensor \ref{d-fullsphere}.
 
+
+If the alternative filter algorithm from chapter `Alternative Filter Algorithm Implementation` \ref{alternative-filter-algorithm-implementation} is executed here, the same result is returned if the magnet measurement with (+id) `5:0` is used as the reference magnet.
+
+
 The filter algorithm implemented by the user was thus successfully executed using the user-programmable pipeline. 
 The calculation result was successfully verified using raw measurement data and the final result of the algorithm.
 

diff --git a/documentation/thesis/thesis_document_tmp.md.listings b/documentation/thesis/thesis_document_tmp.md.listings
@@ -1579,6 +1579,10 @@ Here it can be seen that there are measured values with larger deviations (see m
 On the right-hand side \ref{MRP_evaluation_result_after_execution_of_the _user_defined_pipeline,_using_find_similar_values_algorithm.png}, the measured values are plotted as a result of the filter algorithm. As the `IP_return_count` parameter was set to four, only the four most similar measurements were exported here.
 It can be seen from the plotted `CoG [uT]` deviation values, that these are closest to an ideal Magnet with a `CoG` value of 0uT. This ideal value was calculated with the function `MRP.MRPSimulation.generate_simulated_reading`, with the same measurement parameters (magnet type, dimensions, sensor distance) as they correspond to the mechanical structure of the used hardware sensor \ref{d-fullsphere}.
 
+
+If the alternative filter algorithm from chapter `Alternative Filter Algorithm Implementation` \ref{alternative-filter-algorithm-implementation} is executed here, the same result is returned if the magnet measurement with (+id) `5:0` is used as the reference magnet.
+
+
 The filter algorithm implemented by the user was thus successfully executed using the user-programmable pipeline. 
 The calculation result was successfully verified using raw measurement data and the final result of the algorithm.