From 28f5c5ddafa24dc3fb5d84781ce497431197d7b1 Mon Sep 17 00:00:00 2001
From: Nurfikri Norjoharuddeen <nurfikri89@gmail.com>
Date: Sun, 23 May 2021 18:09:05 +0200
Subject: [PATCH] Update README for UL2017

---
 README.md | 13 +++++++------
 1 file changed, 7 insertions(+), 6 deletions(-)

diff --git a/README.md b/README.md
index 2de869d..b7afe7d 100644
--- a/README.md
+++ b/README.md
@@ -6,8 +6,8 @@ Setup a CMSSW release:
 ```
 mkdir PileUpJetIDSF
 cd PileUpJetIDSF
-cmsrel CMSSW_10_2_22
-cd CMSSW_10_2_22/src
+cmsrel CMSSW_10_6_25
+cd CMSSW_10_6_25/src
 cmsenv
 ```
 Checkout [nanoAOD-tools](https://github.com/cms-nanoAOD/nanoAOD-tools):
@@ -27,7 +27,8 @@ scram b -j4
 ```
 
 Go to [Skimmer/data/mvaWeights](Skimmer/data/mvaWeights/) and download the TMVA BDT training weights 
-for the pileup jet ID, as per the instructions in the `README.md`. This is needed for `JMEnanoV1 UL2017` input.
+for the pileup jet ID, as per the instructions in the `README.md`. This is needed for `JMEnanoV1 UL2017` input 
+and also for any future `JMEnano` production.
 
 ## Skim NanoAODs
 **:construction: UNDER CONSTRUCTION**
@@ -36,8 +37,8 @@ for the pileup jet ID, as per the instructions in the `README.md`. This is neede
 
 All the scripts required to make the histogram templates are in the [**Analyzer**](./Analyzer) directory.
 
->**:exclamation:IMPORTANT** You need to use ROOT version ```6.18``` or later. You can setup the environment 
-to version ```6.22.00``` by sourcing the [```sourceRecentROOT.sh```](./Analyzer/sourceRecentROOT.py) 
+>**:exclamation:IMPORTANT** You need to use ROOT version ```6.22``` or later. You can setup the environment 
+to version ```6.22.08``` by sourcing the [```sourceRecentROOT.sh```](./Analyzer/sourceRecentROOT.sh) 
 bash script. The bash script will also unset the CMSSW runtime environment if you had done ```cmsenv```earlier. 
 This ensures there are no conflicts between the ROOT version that you have just set up and the version in CMSSW.
 
@@ -45,7 +46,7 @@ Producing the histograms is a two-step process. The steps are:
 
 1. Make skimmed ntuples for skimmed NanoAODs by using the [```SkimNtuples.py```](./Analyzer/SkimNtuples.py) script. This will make the histogram making step faster. Example to run the script can be found in [```RunLocal_SkimNtuples.sh```](./Analyzer/RunLocal_SkimNtuples.sh).
 
-2. Make histograms by running over the ntuples with the [```MakeHistograms.py```](./Analyzer/MakeHistograms.py) script. Example to run the script can be found in [```RunLocal_MakeHistograms.sh```](./Analyzer/RunLocal_MakeHistograms.sh).
+2. Make histograms by running over the ntuples with the [```MakeHistograms3D.py```](./Analyzer/MakeHistograms3D.py) script. Example to run the script can be found in [```RunLocal_MakeHistograms.sh```](./Analyzer/RunLocal_MakeHistograms.sh).
 
 The histograms will be saved in the ```histos``` directory. Run [```haddHistos.sh```](./Analyzer/haddHistos.sh) to merge all Data histograms for each year. The paths to the skimmed NanoAODs and skimmed ntuples are specified in [```SampleList.py```](./Analyzer/SampleList.py).