Dataset for testing the Adaptive Source Term Estimation algorithm
Data files
Mar 29, 2023 version files 5.04 MB
-
average_actual_reduction_test.xlsx
-
Backward_C_st_16_xsor_5000.0_ysor_5000.0_zsor_0.0_job_5_seed_-70_time_30.0_npar_400000.txt
-
case1_det1_6500_5000_det2_8000_5000.xlsx
-
case1_info.txt
-
case1_random_placement_for_third_detector.xlsx
-
case2_det1_7000_4600_det2_7000_5600.xlsx
-
case2_info.txt
-
case3_det1_7000_4600_det2_8300_4400.xlsx
-
case3_info.txt
-
case4_det1_6500_5000_det2_8000_5700.xlsx
-
case4_info.txt
-
case5_det1_7200_5600_det2_6800_4500.xlsx
-
case6_det1_7000_5600_det2_8300_4400.xlsx
-
case6_info.txt
-
deg_space_Q_sor_1.0_q_from_0.25_to_15.25_dq_0.15_detector_error_1e-08_chop_at_5e-09_detectors_n_0_at_6500_5000_n_1_at_8000_5000_n_2_at_6000_4700_n_3_at_5800_5300.npy
-
deg_space_Q_sor_1.0_q_from_0.25_to_15.25_dq_0.15_detector_error_1e-08_chop_at_5e-09_detectors_n_0_at_6500_5000_n_1_at_8000_5000_n_2_at_6000_4700.npy
-
deg_space_Q_sor_1.0_q_from_0.25_to_15.25_dq_0.15_detector_error_1e-08_chop_at_5e-09_detectors_n_0_at_6500_5000_n_1_at_8000_5000.npy
-
deg_space_Q_sor_1.0_q_from_0.25_to_15.25_dq_0.15_detector_error_1e-08_chop_at_5e-09_detectors_n_0_at_6500_5000_n_1_at_8000_5700_n_2_at_6400_5500_n_3_at_5800_4700.npy
-
deg_space_Q_sor_1.0_q_from_0.25_to_15.25_dq_0.15_detector_error_1e-08_chop_at_5e-09_detectors_n_0_at_6500_5000_n_1_at_8000_5700_n_2_at_6400_5500.npy
-
deg_space_Q_sor_1.0_q_from_0.25_to_15.25_dq_0.15_detector_error_1e-08_chop_at_5e-09_detectors_n_0_at_6500_5000_n_1_at_8000_5700.npy
-
deg_space_Q_sor_1.0_q_from_0.25_to_15.25_dq_0.15_detector_error_1e-08_chop_at_5e-09_detectors_n_0_at_7000_5600_n_1_at_7000_4400_n_2_at_6200_4600_n_3_at_5200_5000.npy
-
deg_space_Q_sor_1.0_q_from_0.25_to_15.25_dq_0.15_detector_error_1e-08_chop_at_5e-09_detectors_n_0_at_7000_5600_n_1_at_7000_4400_n_2_at_6200_4600.npy
-
deg_space_Q_sor_1.0_q_from_0.25_to_15.25_dq_0.15_detector_error_1e-08_chop_at_5e-09_detectors_n_0_at_7000_5600_n_1_at_7000_4400.npy
-
deg_space_Q_sor_1.0_q_from_0.25_to_15.25_dq_0.15_detector_error_1e-08_chop_at_5e-09_detectors_n_0_at_7000_5600_n_1_at_8300_4400_n_2_at_8400_5300_n_3_at_5000_5100.npy
-
deg_space_Q_sor_1.0_q_from_0.25_to_15.25_dq_0.15_detector_error_1e-08_chop_at_5e-09_detectors_n_0_at_7000_5600_n_1_at_8300_4400_n_2_at_8400_5300.npy
-
deg_space_Q_sor_1.0_q_from_0.25_to_15.25_dq_0.15_detector_error_1e-08_chop_at_5e-09_detectors_n_0_at_7000_5600_n_1_at_8300_4400.npy
-
deg_space_Q_sor_1.0_q_from_0.25_to_15.25_dq_0.15_detector_error_1e-08_chop_at_5e-09_detectors_n_0_at_7200_5600_n_1_at_6800_4500_n_2_at_6000_5500_n_3_at_4200_5100.npy
-
deg_space_Q_sor_1.0_q_from_0.25_to_15.25_dq_0.15_detector_error_1e-08_chop_at_5e-09_detectors_n_0_at_7200_5600_n_1_at_6800_4500_n_2_at_6000_5500.npy
-
deg_space_Q_sor_1.0_q_from_0.25_to_15.25_dq_0.15_detector_error_1e-08_chop_at_5e-09_detectors_n_0_at_7200_5600_n_1_at_6800_4500.npy
-
deg_space_Q_sor_2.0_q_from_0.25_to_15.25_dq_0.15_detector_error_1e-08_chop_at_5e-09_detectors_n_0_at_7000_5600_n_1_at_8300_4400_n_2_at_8400_5400_n_3_at_5000_5100.npy
-
deg_space_Q_sor_2.0_q_from_0.25_to_15.25_dq_0.15_detector_error_1e-08_chop_at_5e-09_detectors_n_0_at_7000_5600_n_1_at_8300_4400_n_2_at_8400_5400.npy
-
deg_space_Q_sor_2.0_q_from_0.25_to_15.25_dq_0.15_detector_error_1e-08_chop_at_5e-09_detectors_n_0_at_7000_5600_n_1_at_8300_4400.npy
-
Forward_C_st_1000_xsor_5000.0_ysor_5000.0_zsor_0.0_job_5_seed_-70_time_30.0_npar_1600000.txt
-
prediction_map_cycle_1_Q_sor_1.0_q_from_0.25_to_15.25_dq_0.15_detector_error_1e-08_chop_at_5e-09_detectors_n_0_at_6500_5000_n_1_at_8000_5000.npy
-
prediction_map_cycle_1_Q_sor_1.0_q_from_0.25_to_15.25_dq_0.15_detector_error_1e-08_chop_at_5e-09_detectors_n_0_at_6500_5000_n_1_at_8000_5700.npy
-
prediction_map_cycle_1_Q_sor_1.0_q_from_0.25_to_15.25_dq_0.15_detector_error_1e-08_chop_at_5e-09_detectors_n_0_at_7000_5600_n_1_at_7000_4400.npy
-
prediction_map_cycle_1_Q_sor_1.0_q_from_0.25_to_15.25_dq_0.15_detector_error_1e-08_chop_at_5e-09_detectors_n_0_at_7000_5600_n_1_at_8300_4400.npy
-
prediction_map_cycle_1_Q_sor_1.0_q_from_0.25_to_15.25_dq_0.15_detector_error_1e-08_chop_at_5e-09_detectors_n_0_at_7200_5600_n_1_at_6800_4500.npy
-
prediction_map_cycle_1_Q_sor_2.0_q_from_0.25_to_15.25_dq_0.15_detector_error_1e-08_chop_at_5e-09_detectors_n_0_at_7000_5600_n_1_at_8300_4400.npy
-
prediction_map_cycle_2_Q_sor_1.0_q_from_0.25_to_15.25_dq_0.15_detector_error_1e-08_chop_at_5e-09_detectors_n_0_at_6500_5000_n_1_at_8000_5700_n_2_at_6400_5500.npy
-
prediction_map_cycle_2_Q_sor_1.0_q_from_0.25_to_15.25_dq_0.15_detector_error_1e-08_chop_at_5e-09_detectors_n_0_at_7000_5600_n_1_at_7000_4400_n_2_at_6200_4600.npy
-
prediction_map_cycle_2_Q_sor_1.0_q_from_0.25_to_15.25_dq_0.15_detector_error_1e-08_chop_at_5e-09_detectors_n_0_at_7000_5600_n_1_at_8300_4400_n_2_at_8400_5300.npy
-
prediction_map_cycle_2_Q_sor_1.0_q_from_0.25_to_15.25_dq_0.15_detector_error_1e-08_chop_at_5e-09_detectors_n_0_at_7200_5600_n_1_at_6800_4500_n_2_at_6000_5500.npy
-
prediction_map_cycle_2_Q_sor_2.0_q_from_0.25_to_15.25_dq_0.15_detector_error_1e-08_chop_at_5e-09_detectors_n_0_at_7000_5600_n_1_at_8300_4400_n_2_at_8400_5400.npy
-
README.md
Abstract
The objective of this work is to study the Adaptive Source Term Estimation algorithm developed by the authors and that will be presented in a future article. Briefly, source term estimation (STE) is a mathematical tool aimed to characterize the source parameters of some gas hazard based on its measurements at given positions. The adaptive STE (ASTE) is aimed to perform this procedure iteratively, i.e. based on the received measurements at a given set of deployed detectors, the algorithm proposes the location for the next detector in order to optimally solve the STE problem.