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Name | ID | Default? | Description | Status | Type | Modified | Mod. by | Total Payloads | Distinct Payloads |
---|---|---|---|---|---|---|---|---|---|
staging_master_hohmann_20190226-100933 | 539 | ✘ | This is a weightwfile for a Kshort classifier that I intend to share with the collaboration. r. I inted I plan to add this either to st I plan to add this to either use this to eitehr cher create a standard particle k short list ('('KsS_0:mva') or adding a classifyKshort function to modular analysis. I believe this tool will e be used by the wider collaboration. [D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[Ceful to the wider collaboration. |
OPEN | DEV | 02/26/2019 10:09 a.m. | hohmann | 1 | 1 |
staging_analysis_hohmann_20190226-100933 | 540 | ✘ | This is a weightwfile for a Kshort classifier that I intend to share with the collaboration. r. I inted I plan to add this either to st I plan to add this to either use this to eitehr cher create a standard particle k short list ('('KsS_0:mva') or adding a classifyKshort function to modular analysis. I believe this tool will e be used by the wider collaboration. [D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[D[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[Ceful to the wider collaboration. |
OPEN | DEV | 02/26/2019 10:10 a.m. | hohmann | 1 | 1 |
staging_master_hohmann_20190226-102039 | 541 | ✘ | Providing a central training for the mva selector in the analysis modCurlTagger module |
OPEN | DEV | 02/26/2019 10:21 a.m. | hohmann | 1 | 1 |
staging_analysis_hohmann_20190226-102039 | 542 | ✘ | Providing a central training for the mva selector in the analysis modCurlTagger module |
OPEN | DEV | 02/26/2019 10:21 a.m. | hohmann | 1 | 1 |
staging_main_hohmann_20211201-041410 | 2152 | ✘ | This is a weightfile for the mva method in the analysis module curlTagger. |
OPEN | DEV | 12/01/2021 4:14 a.m. | hohmann | 1 | 1 |
hohmann_mva_testing | 2380 | ✘ | tag to test uploading mva |
VALIDATED | DEV | 03/20/2022 4:36 a.m. | hohmann | 4 | 4 |
hohmann_mva_NN_testing_100622 | 2506 | ✘ | for testing NN based lepton ID MVA |
TESTING | DEV | 06/10/2022 1:13 p.m. | hohmann | 1 | 1 |
temp_main_hohmann_20220704-072112 | 2578 | ✘ | This payload contains trained weightfiles for the ECLChargedPIDMVA module. This module will replace the EClChargedPID module for charged pid in the ecl. |
TESTING | DEV | 07/22/2022 11:50 a.m. | hohmann | 1 | 1 |
hohmann_test_hlttrigger_patch | 2679 | ✘ | testing payload for patching the HLT skims |
OPEN | DEV | 09/19/2022 2:10 p.m. | hohmann | 3 | 3 |
hohmann_test_hlttrigger_patch_v2 | 2680 | ✘ | testing payload for patching the HLT skims |
TESTING | DEV | 09/19/2022 3:06 p.m. | hohmann | 3 | 3 |
triggerskim_exp7to12_patch | 2681 | ✘ | tag to add missing software trigger skim payloads to exp7-12. Intended for MC15rd and proc13 but can likely be used for later processings too. Based on the hlt_filters_exp24 GT. |
TESTING | DEV | 09/20/2022 8:26 a.m. | hohmann | 40 | 40 |
ECLChargedPIDMVA_xgb_60 | 2811 | ✘ | Weights for the ECLChargedPIDMVA module using xgboost with parameters tuned such that the weightfile is approximately 60mb |
VALIDATED | DEV | 12/15/2022 1:49 p.m. | hohmann | 2 | 1 |
ECLChargedPIDMVA_xgb_60_fixed | 2818 | ✘ | Weights for the ECLChargedPIDMVA module using xgboost with parameters tuned such that the weightfile is approximately 60mb. Fixed issue with rare tracks that are not able to be extrapolated to the ECL surface with helixExtTheta. |
TESTING | DEV | 12/20/2022 9:35 p.m. | hohmann | 1 | 1 |
ECLChargedPIDMVA_xgb_20 | 2823 | ✘ | Weights for the ECLChargedPIDMVA module using xgboost with parameters tuned such that the weightfile is approximately 20mb. |
TESTING | DEV | 01/02/2023 9:48 p.m. | hohmann | 1 | 1 |
ECLChargedPIDMVA_xgb_20_withoutE | 2824 | ✘ | Weights for the ECLChargedPIDMVA module using xgboost with parameters tuned such that the weightfile is approximately 20mb. Removed per crystal energy. |
TESTING | DEV | 01/04/2023 3:23 p.m. | hohmann | 1 | 1 |
ECLChargedPIDMVA_xgb_20_withoutE_withCNN | 2845 | ✘ | Weights for the ECLChargedPIDMVA module using xgboost with parameters tuned such that the weightfile is approximately 20mb. Removed per crystal energy. Added CNN in barrel. |
TESTING | DEV | 01/10/2023 5:04 p.m. | hohmann | 3 | 1 |
ECLChargedPIDMVA_xgb_20_nom | 2849 | ✘ | Nominal XGB payload optimised for 20mb, includes crystal energy at low p |
TESTING | DEV | 01/10/2023 5:08 p.m. | hohmann | 1 | 1 |
ECLChargedPIDMVA_xgb_20_nom_wthCNN | 2850 | ✘ | Nominal XGB payload optimised for 20mb, includes crystal energy at low p, uses the CNN in the barrel below 1GeV |
TESTING | DEV | 01/10/2023 5:16 p.m. | hohmann | 1 | 1 |
ECLChargedPIDMVA_xgb_20_nom_wthCNN_v2 | 2865 | ✘ | Nominal XGB payload optimised for 20mb, includes crystal energy at low p, uses the CNN in the barrel below 1GeV |
TESTING | DEV | 01/20/2023 2:57 p.m. | hohmann | 1 | 1 |
temp_main_hohmann_20230224-052303 | 2909 | ✘ | This payload includes CNN based particle ID in the ECL barrel. Improves particle ID performance. |
OPEN | DEV | 02/24/2023 5:23 a.m. | hohmann | 1 | 1 |
ECLChargedPIDMVA_xgb_20_nom_v2 | 2866 | ✘ | Nominal XGB payload optimised for 20mb, includes crystal energy at low p, uses the CNN in the barrel below 1GeV |
TESTING | DEV | 03/14/2023 1:58 a.m. | hohmann | 2 | 1 |
ECLChargedPIDMVA_xgb_20_nom_withCNN_v3 | 2964 | ✘ | Nominal XGB payload optimised for 20mb. Uses v2 of the CNN in the barrel for all p ranges |
TESTING | DEV | 06/02/2023 12:28 p.m. | hohmann | 2 | 1 |
ECLChargedPIDMVA_EP3_xgb_20_nom_withCNN_v4 | 2976 | ✘ | Nominal XGB payload optimised for 20mb. Uses v3 of the CNN in the barrel for p < 1 GeV. BDT and CNN trained with EP3 backgrounds. |
TESTING | DEV | 06/16/2023 9:50 a.m. | hohmann | 1 | 1 |
ECLChargedPIDMVA_EP3_xgb_20_nom_withCNN_v5 | 2980 | ✘ | Nominal XGB payload optimised for 20mb. Uses v4 of the CNN in the barrel for p < 1 GeV. With dropout layers for CNN for p < 0.6. BDT and CNN trained with EP3 backgrounds. |
TESTING | DEV | 06/21/2023 10:22 a.m. | hohmann | 1 | 1 |
ECLChargedPIDMVA_EP3_xgb_20_nom_withCNN_v6 | 2987 | ✘ | Nominal XGB payload optimised for 20mb. Uses v5 of the CNN in the barrel for p < 1 GeV. With dropout layers for CNN for p < 0.6. Optimisied in both CNN regions. BDT and CNN trained with EP3 backgrounds. |
TESTING | DEV | 06/27/2023 8:15 p.m. | hohmann | 1 | 1 |