| import ROOT | |
| from DataFormats.FWLite import Events, Handle | |
| import numpy as np | |
| events = Events('test.root') | |
| handle_pf = Handle('vector<l1t::EtSum>') | |
| handle_ml = Handle('vector<l1t::EtSum>') | |
| handle_gen = Handle('vector<reco::GenMET>') | |
| label_pf = 'l1tMETPFProducer' | |
| label_ml = 'l1tMETMLProducer' |
The Equity & Career Committee is launching a mentoring program for A3D3 members. It pairs interested students/postdocs with postdocs/faculty members within the institute. The program is designed to encourage and support younger scientists through a mentoring relationship that begins in November/December and continues through August. Each mentoring relationship is developed through one-on-one meetings that each pair plans.
Start:
| from tensorflow.keras.layers import Input, Concatenate | |
| from tensorflow.keras.models import Model | |
| import hls4ml | |
| def createModel(shape=(3, 3, 2)): | |
| x = x_in = Input(shape) | |
| xy = Concatenate(axis=1)([x[...,:1], x[...,1:]]) | |
| model = Model(inputs=x_in, outputs=xy) | |
| return model |
| llp_values = [] | |
| for a in range(int(eventNum)): | |
| tree.GetEntry(a) | |
| # grab the LLP pt for each event | |
| for b in range(len(tree.gen)): | |
| if (tree.gen[b][1] == 1000006) or ((tree.gen[b][1] == -1000006)): | |
| llp_pt = tree.gen[b][0].Pt() | |
| # initialize pass triggger boolean to false | |
| pass_trigger = False | |
| for c in range(len(eventjets[a])): |
| def MetEfficVal(EVal_bins): | |
| inFileName = args.inFileName | |
| inFile = r.TFile.Open(inFileName, 'READ') | |
| tree = inFile.Get('ntuple0/objects') | |
| ver = inFile.Get('ntuple0/objects/vz') | |
| eventNum = tree.GetEntries() | |
| met_values = [] | |
| tree.GetEntry(0) | |
| ver = tree.pup |