Linda R. Coney – 5 November 2009 Online Reconstruction Linda R. Coney 5 November 2009.

Linda R. Coney – 5 November 2009

Online Reconstruction

Linda R. Coney

5 November 2009

Linda R. Coney – 5 Nov 2009


G4MICE uses the unpacker to look at data from DATE It then converts the raw data into information with physical meaning Goal:

Provide a fixed set of histograms to be filled during data taking These histograms will contain quantities that can give information about the

physics happening – a first look at analysis quantities Provides another data quality check

Are we taking the data we think we are? Are the detectors & beam behaving as planned?

Provide graphical interface to display plots Provide comparison plots for shifters

Not meant to be final results Collaboration chooses list of useful histograms

Preliminary list follows


Online Reconstruction Histograms

Step I TOF

# planes hit/event # slabs hit/event Pulse heights Distribution in x, y across TOF0, TOF1, TOF2 2D x vs y gives shape of beam Reconstructed time-of-flight Momentum if assume etc dt (plane 1 vs plane2) in TOF0, TOF1, TOF2 2D x vs y gives shape of beam RF phase calculated vs absolute time in spill

CKOV Light yield in CKOVA and in CKOVB Construct some CKOV measure using the two CKOVs

KL ??? PID determination

CKOV A B light yield vs TOF TOF vs PTracker Check x,y in TOF1 vs x,y in the tracker at input and similarly at the other end of the channel for TOF2

and tracker2



Step II & Beyond Tracker(s)

# planes hit/event # stations hit Pulse heights # points used in online reconstruction Muon px, py, pz, pT, p at the 2 tracker reference planes x,x’, y,y’ 1D, 2D plots of position at 2 tracker reference planes Light yield distributions for each station

PID determination CKOV A B light yield vs TOF TOF vs PTracker Check x,y in TOF1 vs x,y in Tracker1 at input and same for TOF2 and exit of Tracker2

EMR ???



Step I & Beyond Beam emittance, amplitude

Beamline 2D plots (x, x’) & (y,y’) x,y x’,x y’,y x, y

momentum MICE Step III and IV – energy in Tracker1 vs energy in Tracker2 and DE MICE Step V and VI

DE vs RF phase DE vs absolute time



What is needed to produce these plots? Online Reconstruction farm G4MICE installed on farm TOF reconstruction CKOV reconstruction Tracker reconstruction KL reconstruction EMR reconstruction Calibration for all detectors

Unpacking code for each detector Check that G4MICE uses unpacker in a same way that Online Monitoring

uses unpacker


Current Status of Reconstruction

TOF Reconstruction and calibration well underway

CKOV reco same Tracker reconstruction

works

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Beam profile at TOF0


Online Reconstruction Farm

Installed two farm computers in MICE control room March 09 MICEOnRec01a MICEOnRec01b MICEOnRec02a MICEOnRec02b

Total of three quad-core processors G4MICE installed on both Tests run

Reconstructed tracker cosmic ray test data 114 events/second

Ran simulation, digitization, and reconstruction of Step VI Simulation: ~262 events/second Simulation + Digi: ~236 events/second Reconstruction: ~1920 events/second



What is needed to produce these plots? Online Reconstruction farm G4MICE installed on farm TOF reconstruction CKOV reco Tracker reco KL reco ? EMR reco (later)

Unpacking code for each detector TOF, CKOV, GVA, KL Trackers, EMR (late 2009)

Check that G4MICE uses unpacker in same way that Online Monitoring uses unpacker

Can produce online monitoring plots with G4MICE Testing under way to compare to standard Online Monitoring plots (11/09)



Read data Questions: Read from socket (as Online Monitoring) or from data file? Issues: How read socket data? Will it affect DAQ?

Process data Use only released version of reconstruction software Online Reco in CVS Offline reconstruction code used to process data but then histograms specific to Online

Reco will be produced Initial version of this code exists thanks to Mark Rayner

Application: OnlineReconstruction Iterative process – initial version only has TOF information

Create plots Use Root – Parallel processing on the different online reco computers

PROOF determined to be good way to accomplish this – Paul Kyberd

Save data – Henry Nebrensky Online Reco root files will be saved along with the run data and the Online Monitoring

files OnRec.####.root


Architecture parallel root (proof)

One server distributes events to other cores, and/or other CPUs

Automatically returned to server for aggregation.Potential to scale well.

Runs C++ code (compiled), so will run the offline code or some (simplified) version.

Runs C++ as a scripting language so the possibility of rapid response to new requirements.

Integrate the Date reading software during CM25.

Get a test process running on old data, during the week 7-14 of November. 23-24 November dedicated runs to test system.Around a week later second run to fix problems.

Initial version running from 7 December

Schedule

Rationale

Solution


Online Reconstruction Questions

Do we need absolute real-time information? Is one-file delay a problem? Which calibration to use?

Whatever is in the release. How many plots do we want? Corrolary: What is the processing overload?

Ntuples with the ability to play randomly with the data is not intended. Do we use already existing beamline design tools (ex. Chris Rogers)? Will it be done by the end of November?

No. We will have a simplified version to show that the method works and will produce TOF plots.

Iterative process – add more as more reconstruction capability exists. ad


Conclusions

Now: Read out and decode DATE DAQ from MICE beam data Can reconstruct TOF, CKOV, Tracker data Initial version of Online Reco Application exists Parallel processing solution found: PROOF

Next: Implement online reconstruction for Step I Goal to see first plots in MLCR by end November

Can practice with old data Start with TOFs and CKOV

Gather more requests for Online Reco plots

Eventually: Include necessary information for further steps Routinely have shifters monitoring detectors and MICE physics in MLCR


MICE Online

So far: DAQ front end Trigger Event Building Controls and Monitoring

Given that we are successfully running the experiment and creating data How do we know the equipment is working well? How do we check the data quality?

Two levels of real-time data quality checks Online Monitoring

Look at raw data for each board in the DAQ No translation into physical quantities

Online Reconstruction Initial look at analysis variables and detector information with geometry

Next: see Data Flow MICE notes 252 & 255

Linda R. Coney – 5 November 2009 Online Reconstruction Linda R. Coney 5 November 2009.

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