Analysis framework for VHbb analysis
- Twiki: https://twiki.cern.ch/twiki/bin/view/CMSPublic/BoostedVqqHbbRun2
- iCMS upload link: https://cms.cern.ch/iCMS/
- iCMS AN Document Server: https://icms.cern.ch/tools/publications/notes/entries/AN/2022
- CADI: https://cms.cern.ch/iCMS/analysisadmin/cadilines?awg=any&awgyear=2024
- Pubtalk: https://cms-pub-talk.web.cern.ch/c/hig/hig-24-017/640
- Booosted Z'+jets scale factors
- ParticleNet talk and corresponding paper
- Di-Higgs -> 4b approval talk.
- Jennet's talk on VBF/ggF
- ParticleNet BTV Paper
- ATLAS VH, PRL Paper
- Electroweak Restoration at the LHC and Beyond: The Vh Channel
- A portrait of the Higgs boson by the CMS experiment ten years after the discovery
You can set up the environment by following the instructions here: https://github.com/CoffeaTeam/lpcjobqueue/
After setting it up you could do ./shell to set up the environment.
Log in with ssh tunneling:
ssh -L 8787:localhost:8787 [email protected]
Renew your grid certificate:
grid-proxy-init -valid 1000:00
Run the ./shell script as setup above:
./shell
Note: View all coffea images:
ls /cvmfs/unpacked.cern.ch/registry.hub.docker.com/coffeateam/
Run the job submssion script:
python submit/submit-dask.py 2017 > dask.out 2>&1
or to run a selected sample (define the selected sample in the script):
python submit/submit-dask-selected.py 2017 > dask.out 2>&1
ssh -L 127.0.0.1:8703:127.0.0.1:8703 [email protected]
jupyter notebook --no-browser --port 8703 --ip 127.0.0.1
conda-env create -f environment.yml
Activate the environment:
conda activate vhbb
And then do whatever you want in this environment (edit files, open notebooks, etc.). To deactivate the environment:
conda deactivate
If you make any update for the environment, please edit the environment.yml file and run:
conda env update --file environment.yml --prune
- Following example from here: https://github.com/andrzejnovak/higgstocharm?tab=readme-ov-file#running-bias-tests
- Tests done using combine v10
for bias in 0 1 `seq 5 5 100`
do
combineTool.py -M FitDiagnostics --expectSignal $bias -n bias$bias -d model_combined.root --cminDefaultMinimizerStrategy 0 --robustFit=1 -t 20 -s 1:50:1 --job-mode condor --sub-opts='+JobFlavour = "workday"' --task-name ggHcc$bias
done
for bias in 0 1 `seq 5 5 100`
do
hadd -f bias$bias.root *Combinebias$bias.*
done
- Make a text file of all the datasets you'd like to hold at FNAL (something like
datasets_all.txt). - Then:
voms-proxy-init --voms cms --valid 192:00
source /cvmfs/cms.cern.ch/rucio/setup-py3.sh
export RUCIO_ACCOUNT=dhoang
cut -f 1 datasets_all.txt | while read file; do rucio add-rule cms:$file 1 T1_US_FNAL_Disk --lifetime 2600000 --activity 'User AutoApprove' --ask-approval
This will make one rule per dataset using the auto-approval scheme, placing them on the Fermilab T1 for a period of about 6 months (most of them should already be there, so these rules be basically just be further protecting them and extending their lifetime).
You can check the status of these rules on the command line using rucio rule-info <rule hash> after doing the setup above, or you can use the webui found here
Note that the auto-approval limit is 50 TB of data, but if you're only transferring nano that probably won't be a factor
Example of datasets_all.txt:
/GluGluHToBB_Pt-200ToInf_M-125_TuneCP5_MINLO_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODAPVv9-106X_mcRun2_asymptotic_preVFP_v11-v1/NANOAODSIM
/VBFHToBB_M-125_dipoleRecoilOn_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODAPVv9-106X_mcRun2_asymptotic_preVFP_v11-v2/NANOAODSIM
/WplusH_HToBB_WToQQ_M-125_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODAPVv9-20UL16APVJMENano_106X_mcRun2_asymptotic_preVFP_v11-v1/NANOAODSIM
/WplusH_HToBB_WToLNu_M-125_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODAPVv9-106X_mcRun2_asymptotic_preVFP_v11-v1/NANOAODSIM
To check what site a dataset is on:
dasgoclient -query="site file=<your-file>"
dasgoclient -query="site file=/store/data/Run2018D/SingleMuon/NANOAOD/UL2018_MiniAODv2_NanoAODv9-v1/280000/BDAFAB90-144A-154F-8476-6F314036373F.root"
eos root://cmseos.fnal.gov/ fileinfo /store/...
- Go here: https://cms-pdmv.cern.ch/mcm/
- Search by dataset, 6th action is view chains, scroll all the way to the right to see the chain, the first link to the generator level info, then click "Get setup" action. Then look at the fragment that looks something like this:
curl -s -k https://cms-pdmv-prod.web.cern.ch/mcm/public/restapi/requests/get_fragment/SUS-RunIISummer20UL18wmLHEGEN-00027 --retry 3 --create-dirs -o Configuration/GenProduction/python/SUS-RunIISummer20UL18wmLHEGEN-00027-fragment.py
Then open that link, then look at LHEproducer, args = cms.vstring('/cvmfs/cms.cern.ch/phys_generator/gridpacks/2017/13TeV/madgraph/V5_2.6.5/QCD_HT_LO_MLM_remove_comments/QCD_HT1000to1500_slc6_amd64_gcc630_CMSSW_9_3_16_tarball.tar.xz').
Copy the tar and look at the cards: cat process/madevent/Cards/proc_card_mg5.dat this will contains the info.