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GlobalTag: 35 items found         Click on items for more details


Name ID Default? Description Status Type Modified Mod. by Total Payloads Distinct Payloads
ECLChargedPIDMVA_EP3_xgb_20_nom_withCNN_withPSD 3006
Tag to be used for ECL PID publication. Contains the BDTS (optimised for 20mb size) and CNN for p< 1GeV. Both use the hadron energy fraction as features and were trained with early phase 3 backgrounds.
TESTING DEV 08/08/2023 8:30 a.m. hohmann 4 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
user_hohmann_ECLChargedPIDMVA_BDT_and_CNN_noPSD_2023_11_11 3108
payload for ECLChargedPIDMVA using the CNN files v9 withhout PSD info and a matching BDT
TESTING DEV 11/11/2023 12:50 p.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_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_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
user_hohmann_ECLChargedPIDMVA_onnx_payload 3659
Same classifiers as should be in the rel9 payload but using onnx format to halve memory consumption
TESTING DEV 04/01/2025 9:50 p.m. hohmann 2 2