"How to" for analysis code

[last updated July 11, 2019]

Everything should be performed in digios/analysis/working directory,

ATTENTION:

txt file extension is editable for user.

dat files extension is not supposed to be edited, they are generated.

Editable file name will be highlighted with blue color

General Usage

How to download the source code ?

make sure you have git in your computer.

in the directory you like to put in the code. for example, I like to put the code in ~/, then >cd ~/

~/>git clone https://github.com/calemhoffman/digios.git

you will see a folder name digios is there.

digios>cd digios 

digios>git status

To check your experiment

digios>git branch -a

for example your experiment is using the branch h064_15N

digios>git status

you will see you are in the branch for your experiment.

for analysis, you only need the things inside digios/analysis

Make sure you create folders or symbolic links for data, merged_data, and root_data under digios/analysis.

How to get option for a method or function ?

For most of the bash script, if you have no argument or the argument is "-help" it will display help message

working>Process_run

working>../Cleopatra/Transfer -help

For most root macro, for example, RDTCutsCreator(), after typed the first bracket, use tab, it will display the arguments.

root>RDTCutsCreator(

then press tab. it will show

root>RDTCutsCreator(TString filename, TString saveFileName = "rdtCuts.root", int eRange = 4000, int eRange = 60000 )

How to take a screenshot in MAC ?

Command + Shift + 4 = screenshot selected area

Command + Shift + 4, then space_bar = screenshot selected window

How to check the start time and stop time for a run?

in digios/analysis/data, there is RunTimeStamp.dat. this file stored all start and stop time for all runs.

in MAC or DAQ,

anywhere>ShowRunTimeStamp

How to check the raw files for a run?

in MAC or DAQ

anywhere>ShowRunSize [RUNNUM]

Git Branch Management

How to Setup/Switch for a new experiment?

CAUTION: Advance user / user familiar with git only

CAUTION: Has to be done in the DAQ first

CAUTION: Has to be done in the MAC after

given that the digios directory is clean, meaning

digios>git status 

show no file is modified.

If you are not in the master branch

digios>./SetUpNewExp master

Then you are ready to setup a new experimental branch by

digios>./SetUpNewExp [new experiment name]

The bash script with do all the work.

After that, do the same in the MAC.

---

When the folder is not clean. i.e., not everything git committed. The SetUpNewExp will stop and not switch branches or make a new experiment.

In that case, the simplest way is

digios>git add -A                          # add all changes to stage
digios>git commit -m "comment you like"    # commit the change and make the folder clean

Or, you want to discard all change

digios>git reset --hard

How to clean up the working directory and prepare for a new experiment?

CAUTION: Advance user / user familiar with git only

CAUTION: Need to be done in both MAC and DAQ

CAUTION: !!! READ till the end before you do anything!!!!

After each experiment, the files in digios directory would be changed.

To check the change,

DAQ>cd ~/digios

digios>git status

To snapshot the change

digios>git add -A
digios>git commit -m "comment for this snapshot"

It is better to push the snapshot to the github

digios>git push origin [branch name]

CAUTION: Also need to git the DAQ!

CAUTION: The files in the DAQ and the MAC could be both changed. Mostly, the change in the DAQ is in digios/daq.

CAUTION: That means the DAQ and MAC has to be merged.

We use a merge driver that the expName.sh will not be merged. The detail can be found in .gitattribute and git documentation.

It is better to start with the DAQ.

1. commit and push the daq/edm/scripts folder
2. commit and push the daq/edm/screens (if anything changed)

and then, go to the Mac,

1. fetch and merge, since the DAQ pushed latest commit
2. commit and push the analysis/Armory/
3. commit and push the analysis/Cleopatra
4. commit and push the analysis/working

Now, we can go to LCRC ( /lcrc/project/HELIOS/digios ) The LCRC always in master branch. then we can merge and solve conflict for each commit from the experiment.

After above action, we can go back to the DAQ, and commit the expName.sh, and switch back to master branch or setup a new experiment.

Process Run online

How to process run?

CAUTION: If the code is git clone or download recently, please go to ~/digios/analysis/GEBSort, and GEBSort>make offline

CAUTION: In case of trace analysis, Please edit the GeneralSortMapping.h path in digios/analysis/Armory/GeneralSortTraceProof.C

working>Process_RUN [RUNNUM]

The bash script will download run [RUNNUM], merge, event building, GeneralSort (mapping), and Monitors.C

to see more options, ./process_run without any argument

working>Process_RUN
Process_RUN [RunNum] [Merge] [EventBuild] [GeneralSort] [Monitor]"
     RunNum = run number / \"lastRun\" "
      Merge =   1/0/-1      || 1 = merge, 0 = not merge, -1 = force merge "  
   EventBld = 2/1/0/-1/-2   || 2 = with Trace"  
 GenralSort = n/1/0/-1/-n   || 1 = GeneralSort.C, n = GeneralSortTraceProof.C with n-worker"
   Monitors = 2/1/0         || 1 = single run,  2 = using the list in ChainMonitors.C"
                              10 = single run and post to websrv, 20 = list runs and post to websrv"

       **** When feeding trace data to Monitors, the EventBld flag must be 2 or -2."

The working flow of process_run (without Monitor) is

For data calibration, see standard data analysis flow

How to process multiple runs at once ?

CAUTION: In case of trace analysis, Please edit the GeneralSortMapping.h path in digios/analysis/Armory/GeneralSortTraceProof.C

$./process_MultiRuns [RunNum1] [RunNum2] [Merge] [EventBuild] [GeneralSort]
    RunNum1 = start run number
    RunNum2 = stop run number
      Merge =   1/0*     
   EventBld = 2/1/0*   || 2 = with Trace
 GenralSort = n/1/0*   || 1 = GeneralSort.C, n = GeneralSortTraceProof.C with n-worker
        * negative option = force

How to process multiple runs as a slurm job?

CAUTION: In case of trace analysis, Please edit the GeneralSortMapping.h path in digios/analysis/Armory/GeneralSortTraceProof.C

A slurm job is a job in LCRC. The script will generate the slurm.sh and submit the job to 1 node.

If only merge and build event, only 1 core will be used. If with GeneralSort, 36 cores will be used.

$./process_Slurm [RunNum1] [RunNum2] [time] [Merge] [EventBuild] [GeneralSort]
    RunNum1 = start run number
    RunNum2 = stop run number
       time = allocate time
      Merge =   1/0*     
   EventBld = 2/1/0*   || 2 = with Trace
 GenralSort = n/1/0*   || 1 = GeneralSort.C, n = GeneralSortTraceProof.C with n-worker
        * negative option = force

How to manually run the Monitors.C for a given run?

make sure gen_runXXX.root is generated in digios/analysis/root_data.

working>root ../root_data/gen_runXXX.root

working>gen_tree->Process("Monitors.C+")

How to "Monitor" multiple runs ?

edit ChainMonitors.C

you can see it use the TChain class.

to add files, for example, add the run 33 to 40, 42, 45, and 50, and I assume the run 33 to 40, 42, and 45 are already downloaded

chain->Add("../root_data/gen_run03[3-9].root");
chain->Add("../root_data/gen_run04[0,2,5].root");
chain->Add("../root_data/gen_run050.root");

Then, in process_run

working>./process_run 50 1 1 1 2

Notice that it will download, merge, build event, and GeneralSort (mapping) for run 50 ONLY.

How to change the array position ?

edit the file detectorGeo.txt

How to Donwload all runs into the Mac ?

working>Rsyn_data_from_DAQ.sh

How to change or add a recoil Cuts ?

see #How to use RDTCutsCreator ?

How to use RDTCutsCreator ?

After ./process_run, the ../Armory/RDTCutsCreator.C will be loaded.

root>RDTCutsCreator( [filename], [save file name], [E range], [dE range] )

The default [save file name] is "rdtCuts.root". If you like to use other [save file name], please correct the TString rdtCutFile in Monitors.C

if something go wrong during the RDTCutsCreator, simply delete the "rdtCuts.root".

There is a way to include multiple files for the RDTCutsCreator

root>RDTCutsCreator("../root_data/gen_run02[3-7].root")

or

root>RDTCutsCreator("../root_data/gen_run02[3,5,7,9].root")

To include more files, we can edit ../Armory/RDTCutsCreator.C

inside the file, manual add the files. To run that script.

working> root

root>.L ../Armory/RDTCutsCreator.C

root>RDTCutCreator("", [save file name], [E range], [dE range] )

How is the Calibration flow ?

The calibration has few steps:

1. Gain-matching with xn to xf
2. Gain-matching with xn'+xf to e
3. Calibrate e

To do step 1, It is better start with alpha data, because the alpha data is independent of position. By gating on 1 of the alpha peak, then plot the xf vs xn, the gain matching of xn to xf can be easily done. And because we need to gate on the alpha peak, then why not do a calibration on the energy using alpha data? So, in the Cali_xf_xn.C, the program will first calibrate alpha energy, then gate on 1 of the alpha peak to do gain match xn to xf.

To do step 2, we need a gain-matched xn, i.e. xn', so that xn'+xf should be proportional to the raw e.

In order to calibrate the energy, sometimes, alpha calibration is doing a good job, given that the alpha source is a good source. However, we can also calibrate the energy using kinematic E-Z lines. See How to Calibrate reaction data by kinematics ?

How to Calibrate alpha data ?

If statistics for single detector is sufficient, i.e. all peak is clearly identified.

edit the file ChainMonitors.C

working>root AutoCalibrationTrace.C+

select option 0

It will guide you through the process.

---

If statistics is not so good, we can use the ../Armory/Cali_e_single.C

How to Gain matching of xn to xf ?

working>root AutoCalibrationTrace.C+

select option 0

First, it will go through energy calibration, it does not need to be good.

Next, select any peak, so that the program will gate on that peak and plot xf vs xn. From there, the xn will gain match xf.

How to gain match the xn+xf to raw e ?

To properly do so, you have to gain-matched xn to xf. Then

working>root AutoCalibrationTrace.C+

select option 1

This has to be NOT alpha run, just any beam run. It will plot the raw e vs xf + xn'.

How to Calibrate reaction data by kinematics ?

( I know It needs more detail )

ONLY for sufficient statistic for individual detector.

edit the file ChainMonitors.C

working>root AutoCalibrationtrace.C+

select option 2

it will guide you through.

---

In order to speed up the process, it will create a temp.root. a root file only contain e and z.

User can use ../Armory/Check_e_x.root and create a cut to be used in the Monte-Carlo process.

How to output a root file only contain physical data ?

after the calibration is done, we can edit ChainMonitors.C

and run

working>root AutoCalibrationTrace.C+

Select option 3 to generate the A_gen_runXXX.root

Kinematic and DWBA Calculation

The simplest way is using the Simulation_Helper.C. This is a GUI interface.

working>root Simulation_Helper.C

How to change the calculation for Ex and thetaCM ?

edit the file reactionConfig.txt, than recalculate the reaction.dat by running ../Cleopatra/Transfer

working>../Cleopatra/Transfer

How to change the kinematic E-Z line?

see #How to simulate the kinematics?

The E-Z lines are stored in fxList in transfer.root

In Monitors.C, at the end or Monitors::Terminate().

you can see the fxList.

How to simulate the kinematics?

CAUTION: If the code is git clone or download recently, please go to ~/digios/analysis/Cleopatra, and Cleopatra>make

edit

• reactionConfig.txt
• detectorGeo.txt
• Ex.txt

Then run

 working>../Cleopatra/Transfer

after that, 2 files will be generated, 1) reaction.dat, 2) transfer.root

a tree is inside transfer.root.

you can see the tree branches by

root> tree->Print()

I hope the branch name is self-explained.

In Armory, there is a root macro Check_Transfer.C

working>root '../Armory/Check_Transfer.C("transfer.root")'

The macro load the transfer.root and plot the e-z plot, the recoil, recoil radius vs thetaCM etc...

How to do DWBA calculation ?

CAUTION: If the code is git clone or download recently, please go to ~/digios/analysis/Cleopatra, and Cleopatra>make

CAUTION: ONLY IN LINUX, because Ptolemy only work in Linux.

edit the file DWBA, then

working>./Cleopatra example 1 1 1 1 0 [minAng] [maxAng] [angStep]

This will generate the example.in, feed to Ptolemy, output example.out, extract the differential cross section into

• example.Xsec.txt
• example.root

And plot the d.s.c. using example.root

It will also generate example.Ex.txt

For arguments meaning, use Cleopatra without any argument

working>./Cleopatra

How to do kinematics simulation with DWBA differential cross section ?

see #How to do DWBA calculation ? first.

edit

• reactionConfig.txt
• detectorGeo.txt
• example

Make sure the reaction in the reactionConfig.txt is matching with that in example

working>./Cleopatra example 1 1 1 0 1  0 180 1

The excitation levels is using example.Ex.txt.

The bash script will calculate the DWBA d.s.c. using Cleopatra, then using ../Cleopatra/Transfer to do the simulation.

see #How to simulate the kinematics?

How to do trace analysis ?

updated Feb-12, 2021

simply

working>Process_RUN [RunNum] 1 -2 [number_of_worker] [Option_for_Monitors]

Updated Nov-6, 2019 The GEBSort_nogeb_trace was generated, Simple run ./process_run with option is fine

---

First, the GEBSort code has to be recompile by changing the file digios/GEBSort/bin_rcnp.C

in that file, comment out the trace (line ?)

Then, recompile

GEBSort>make offline

Now the gen_runXXX.root will contains trace data.

go back to working directory

working>./process_run [RUNNUM] 1 1 2 1

The 4th argument is 2, that means the GeneralSort (or the mapping ) will use ../Amrory/GeneralSortTrace.C instead of ../Amory/GeneralSort.C

The 4th argument can be also be more than 2, say, when it is N, it means it will use Proof, a parallel computing framework built-in in root that use N cores.

To display the trace, we can use ../Armory/readTrace.C ( this macro is kind of shitty.....)

How to count a 1D histogram for a given range ?

After ./process_run, a function Check1D() is loaded.

How to fit the excitation spectrum ?

If the reaction.dat is set properly, after ./process_run, the excite() function will give you the excitation spectrum.

root>excite()

You can use the fitAuto() function to auto fit the spectrum by

root>fitAuto(hEx) 

For more option

fitAuto( [hist name], [BG estimation] )

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Or you can can fit N-Gauss + 1 linear function. In this case, edit the AutFit_para.txt

root>fitNGaussP1(hEx)