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| Name | ID | Default? | Description | Status | Type | Modified | Mod. by | Total Payloads | Distinct Payloads |
|---|---|---|---|---|---|---|---|---|---|
| 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 |
| user_hohmann_ECLChargedPIDMVA_payload_CNNv10 | 3364 | ✘ | ECLChargedPIDMVA payload containing the trained BDTs and v10 of the CNN. Both are WITHOUT PSD information. |
TESTING | DEV | 06/27/2024 2:16 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 |
| 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 |
| user_hohmann_beam_background_and_photon_mva_using_E_not_clusterE | 3636 | ✘ | Edited copies of the beamBackgroundMVA and FakePhotonMVA payloads that use E instead of clusterE. This is so that the energy bias correction applied on data is propagated to the MVAs. |
TESTING | DEV | 02/24/2025 4:57 p.m. | hohmann | 9 | 9 |
| 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_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 |
| hohmann_mva_testing | 2380 | ✘ | tag to test uploading mva |
VALIDATED | DEV | 03/20/2022 4:36 a.m. | hohmann | 4 | 4 |
| 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 |