LLRHToTauTau framework

1. miniAOD -> flat NTuple


2. flat Ntuple -> skim

3. make histograms

3.1 hadd of outputs

4. evaluate QCD starting from the histograms

LLRHToTauTau framework

Samples can be processed on the local Tier3 or with CRAB.

Tier3 --> fast, light computations (SVfit turned off or EnrichedMiniAOD to ntuples)

CRAB --> heavy computations (SVfit, many samples in parallel)

Instructions for large productions (CRAB)

1. `datasets.txt` : Define the datasets names you want to run on.

Each block of dataset to be processed is defined by `=== ===`; text after is ignored

Lines *containing* a `#` are ignored.

Separate MC from Data as you have to change the flag.

2. `` :

set the IsMC flag

to produce EnrichedMiniAOD set RUN_NTUPLIZER to False

3. `` :

under *PROCESS* write the list of blocks of datasets to be processed

under *tag* write a tag to be used in outputs and folder names

4. `cmsenv ; source /cvmfs/`

5. `python`

EnrichedMiniAOD to LLRntuples

1. `` : set *path* to the folder created by the CRAB submission ("crab3_\<tag\>") 2. `python` : will print a list of published datasets names.

For missing names listed at the end, typically CRAB submission failed 3. `datasets_Enriched.txt` : copy the previous list and define a block name between `=== ===` 4. `tools/` : define *PROCESS* and *tag* as before 5. `cmsenv ; source /cvmfs/ ; cd tools; python` :

will create the file list for each published sample under `inputFilesEMiniAOD\<tag\>`

NOTE : this can take some time depending on how fast the CRAB server responds and might need some retries.

Se proprio non va, do this by hand from DAS interface.


-- ChiaraAmendola - 2017-11-08-

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Topic revision: r1 - 2017-11-10 - ChiaraAmendola
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