Status of MEG Software

14 February 20014 February 20077

Fabrizio CeiFabrizio Cei 11

Fabrizio CeiFabrizio Cei

INFNINFN and and UniversityUniversity of of PisaPisa

PSI Review MeetingPSI Review Meeting

PSI, 14 February 2007PSI, 14 February 2007

Status of MEG SoftwareStatus of MEG Software



OutlineOutline

MEG Software MEG Software organizationorganization Status of Status of Monte Carlo simulationMonte Carlo simulation Short remind of Short remind of analysis frameworkanalysis framework Status of Status of analysis codesanalysis codes Status of Status of MEG computing powerMEG computing power @PSI@PSI ProblemProblem ofof overall data sizeoverall data size ConclusionsConclusions



MEG Software MEG Software OrganizationOrganization

MCMC

BartendBartenderer

(ROME)(ROME)AnalyzerAnalyzer

(ROME)(ROME)

DAQDAQ

ZEBRAZEBRA

ROOTROOT

MIDASMIDAS

ROOTROOT

SimulationSimulation

Real DataReal Data

WFM andWFM and pile-up simulationsimulation



Status of Monte CarloStatus of Monte Carlo

MEGMC programMEGMC program- written in - written in Geant3.21Geant3.21;;- data output in - data output in ZEBRA banksZEBRA banks, automatically converted , automatically converted

to to C++ structuresC++ structures (readable from analysis codes); (readable from analysis codes);- it simulates - it simulates pairpair (e.g. (e.g. ee) or ) or singlesingle (e.g. (e.g. MichelMichel positronspositrons) ) events;events;- - Full simulation of detector & calibration devices; Full simulation of detector & calibration devices;

- specific modules (- specific modules (tbeamtbeam & & tbtctbtc) for ) for LXe/TC beam testsLXe/TC beam tests;; - - Next release soonNext release soon;; - - Updates since last meetingUpdates since last meeting

– Common magnetic field with MEGAnalyzerCommon magnetic field with MEGAnalyzer– Different geometrical configurationsDifferent geometrical configurations ( (finalfinal or or run 2006run 2006););

- - To be doneTo be done;;- Few event types missing, e.g. LED;Few event types missing, e.g. LED;- Revision for radiative decay and AIF.Revision for radiative decay and AIF.



Examples of MC Examples of MC eventsevents

ee event event Michel positronMichel positron

RUN 2006 configurationRUN 2006 configuration::No LXe, no TICZ, 8 DCH, No LXe, no TICZ, 8 DCH, TICP displaced by TICP displaced by ± 12 cm± 12 cm



MC mass productionMC mass production Expected to Expected to start very soonstart very soon;; Event Event typestypes and and numbersnumbers to be decided. to be decided.

Typical CPU & DISK Typical CPU & DISK requirements for requirements for

gemgem

CPU time / 10 k CPU time / 10 k eventsevents

disk size / 10 k disk size / 10 k eventsevents

SignalSignal 24 hrs24 hrs 2.5 GB2.5 GB

alphaalpha 1.3 hrs1.3 hrs 400 MB400 MB

Michel (> 40 MeV) Michel (> 40 MeV) 10 min10 min 700 MB700 MB

Michel (> 5 MeV)Michel (> 5 MeV) 5 min5 min 550 MB550 MB



Software framework: Software framework: ROMEROME

ROMEROME ( (RRoot basedoot based OObjectbject OrientedOriented MMidasidas EEnvironmentnvironment) ) is a is a framework generatorframework generator.. It uses only It uses only 6 different C++ objects6 different C++ objects.. ROMEROME makes the makes the “dirty job”“dirty job”: : creating the structure, defining C++ classes, writing many creating the structure, defining C++ classes, writing many include include files, creating the dependences and the hierarchy …; files, creating the dependences and the hierarchy …; the users and detector expertsthe users and detector experts perform the perform the “smart job”“smart job”: : writing the analysis methods (writing the analysis methods (taskstasks) and the related ) and the related foldersfolders (data stored on memory) and (data stored on memory) and treestrees (data stored on disks). (data stored on disks). The most important feature is the modularityThe most important feature is the modularity: : the tasks can be exchanged at runtime.the tasks can be exchanged at runtime.

Main developer: M. Schneebeli (PSI)Main developer: M. Schneebeli (PSI)



ROME InterconnectionsROME Interconnections

Folders

TasksTasksTasksFill

Read

TreesTreesTreesFill

Flag

HistogramsHistogramsHistograms



Fill

Fill

Disk (Output)Write (ROOT)

Disk (Input)

Read (Format: ZEBRA, MIDAS & ROOT)



ROME Event Display ROME Event Display (ARGUS)(ARGUS)

Display includes tracks Display includes tracks and energy depositsand energy deposits



Waveform/track Waveform/track displaydisplay

Liquid XenonLiquid Xenon

Drift ChamberDrift Chamber

Both used in on-line Both used in on-line and analysis tooand analysis too



Trigger/TICP displayTrigger/TICP displayRate of individual Rate of individual

channelschannels

TC barsTC bars



Status of Status of MEGBartenderMEGBartender

MEGBartender runs stable.MEGBartender runs stable. Event mixing Event mixing withwith multiple formatsmultiple formats

planned planned (presently only ZEBRA);(presently only ZEBRA); Refinement of simulation parametersRefinement of simulation parameters on on

the basis of the basis of run 2006 datarun 2006 data;; Waveform simulation completedWaveform simulation completed for for LXeLXe, ,

TICP/TICZ, DCH wiresTICP/TICZ, DCH wires; work needed ; work needed for pad simulation;for pad simulation; Several trigger simulationsSeveral trigger simulations included. included.



Status of MEGAnalyzer Status of MEGAnalyzer 1)1)

MEGAnalyzer modified for use in online & MEGAnalyzer modified for use in online & offlineoffline

LXeLXe: ((R. Sawada (Tokyo)R. Sawada (Tokyo), , G. Signorelli (Pisa)G. Signorelli (Pisa), Y. , Y.

Uchiyama (Tokyo), S. Yamada (UCI), F. Cei (Pisa))Uchiyama (Tokyo), S. Yamada (UCI), F. Cei (Pisa))-- Waveform decodingWaveform decoding implemented; implemented;- Charge-based reconstruction algorithms implementedCharge-based reconstruction algorithms implemented; ; most of them tested;most of them tested;- Timing reconstruction & calibration algorithmsTiming reconstruction & calibration algorithms under implementation and testing;under implementation and testing;- Peak findingPeak finding and and pattern recognition taskspattern recognition tasks existing. existing.




TICP/Z TICP/Z ((P. Cattaneo (Pavia)P. Cattaneo (Pavia), Y. Uchiyama, D. Zanello (Rome),, Y. Uchiyama, D. Zanello (Rome), F. Xiao (UCI), A. Barchiesi (Rome), S. Dussoni (Genova))F. Xiao (UCI), A. Barchiesi (Rome), S. Dussoni (Genova))

-- waveform analysis implementedwaveform analysis implemented;;- preliminary hit reconstruction implemented- preliminary hit reconstruction implemented (Q,t(Q,tLL,t,tRR) ) (z,<t>) (z,<t>);;

-- still missingstill missing: : correlation between adjacent bars & with DCH.correlation between adjacent bars & with DCH.

DCH DCH ((H. Nishiguchi (Tokyo)H. Nishiguchi (Tokyo), , M. SchneebeliM. Schneebeli, Y. Hisamatsu, , Y. Hisamatsu, V. Tumakov (UCI))V. Tumakov (UCI)) - 3D-map of magnetic field- 3D-map of magnetic field;; - tracking by (preliminary) Kalman filter implemented- tracking by (preliminary) Kalman filter implemented;; - waveform decoding existing- waveform decoding existing;;

- extraction of - extraction of z-coordinatez-coordinate from cathode pad information in progress from cathode pad information in progress.. - still missing: full hit reconstruction (3D information);- still missing: full hit reconstruction (3D information);

pattern recognition at the beginning.pattern recognition at the beginning.

Software changing very fast on the basis of 2006 dataSoftware changing very fast on the basis of 2006 data




Trigger Trigger (G. Signorelli, (G. Signorelli, D. NicolD. Nicolòò (Pisa) (Pisa))) - trigger info/banks coded in MIDAS:- trigger info/banks coded in MIDAS: run #run #, , event #event #, , triggertrigger code & WFMscode & WFMs, , scalersscalers (useful for determining run/live time);(useful for determining run/live time); - - cchargeharge and and timing reconstruction algorithmstiming reconstruction algorithms implemented implemented and under testing.and under testing.

Database Database ((R. SawadaR. Sawada)) - two databases:- two databases: MySQLMySQL and and sqlite3sqlite3; easy conversion; ; easy conversion; - MySQL needs network; sqlite3 for stand-alone environment in - MySQL needs network; sqlite3 for stand-alone environment in a separate svn module (a separate svn module (megdbmegdb); ); - included:- included: geometry, trigger/hardware configuration, run geometry, trigger/hardware configuration, run table, physical constants, reconstruction coefficients …table, physical constants, reconstruction coefficients …



DRS in MEGAnalyzerDRS in MEGAnalyzer

Data structure establishedData structure established- - It is possible to write It is possible to write limited time regionslimited time regions of of

waveforms;waveforms;- - Data sizeData size (including header) (including header) can be zerocan be zero if the if the

channel is not interesting;channel is not interesting;- Each chip has - Each chip has clockclock and and trigger signaltrigger signal for for calibration.calibration.

Calibration procedures under Calibration procedures under development development

and to be studied in detail.and to be studied in detail.



MEG computing @PSIMEG computing @PSI

Sun Fire x4100 quad core 4 GB





Fib

er

Ch

an

nel Sw

itch

15 x 500 GB SATA

GB

it E

thern

et

Offline cluster for MEG (LCMEG)Offline cluster for MEG (LCMEG)

• Presently available : Presently available : 20 CPU cores + 30 TB disk + Sun Grid 20 CPU cores + 30 TB disk + Sun Grid EngineEngine

• Final situation : Final situation : 64 CPU cores + 100 TB disk in total64 CPU cores + 100 TB disk in total• Easily extensibleEasily extensible; planned within 2007; planned within 2007



Overall Data RateOverall Data Rate

• In 2006 run we had In 2006 run we had 2.8 MB events2.8 MB events (50% DC + TC, no LXe; (50% DC + TC, no LXe; 1/3 of the final configuration) and could run at 1/3 of the final configuration) and could run at ~ 10 Hz~ 10 Hz

• Full detector estimates Full detector estimates without any reductionwithout any reduction: : 9 9 MB/eventMB/event, ,

5 Hz5 Hz, , 101077 sec sec, , 450 TB/year450 TB/year• Possible strategies for reducing data size:Possible strategies for reducing data size:

– Zero suppressionZero suppression (50% on LXe, 80% on DC) (50% on LXe, 80% on DC)– ADC/TDC values for non-signal-like eventsADC/TDC values for non-signal-like events– Partial waveform readoutPartial waveform readout (reduced window size) (reduced window size)– Keep timing information in SQL databaseKeep timing information in SQL database– 33rdrd level trigger in online cluster level trigger in online cluster (e.g. linear fit, fast tracking …)(e.g. linear fit, fast tracking …)

Effects on data Effects on data to be evaluated to be evaluated

Effects on data Effects on data to be evaluated to be evaluated

30 Tb/year30 Tb/year



ConclusionsConclusions The MEG software is in an advancedThe MEG software is in an advanced state ofstate of preparation:preparation:

– MEGMC + MEGBartenderMEGMC + MEGBartender: : almost finishedalmost finished– MEGAnalyzerMEGAnalyzer: :

LXeLXe: close to completion;: close to completion; TICP/ZTICP/Z & & DCHDCH: some parts missing, but fast : some parts missing, but fast

evolution and significant effort; evolution and significant effort; Trigger/DatabaseTrigger/Database: ~ ok.: ~ ok.

First part (~ 1/3) of MEG offline clusterFirst part (~ 1/3) of MEG offline cluster in operation; in operation; Data size to be reducedData size to be reduced; ; discussion under discussion under

wayway..



Backup slidesBackup slides



MC Man PowerMC Man Power

All persons @ 10 All persons @ 10 50 % of their time 50 % of their time:

Coordination: Coordination: S. Yamada (UCI)S. Yamada (UCI), , F. Cei (Pisa)F. Cei (Pisa);; SVN repository: SVN repository: S. YamadaS. Yamada;; Event generation:Event generation:F. Cei, S. YamadaF. Cei, S. Yamada, , Y. Hisamatsu (Tokyo)Y. Hisamatsu (Tokyo);; LXe: LXe: S. Yamada, F. CeiS. Yamada, F. Cei, , G. Signorelli (Pisa);G. Signorelli (Pisa); TICP/TICZ: TICP/TICZ: P. Cattaneo,P. Cattaneo, Y. Uchiyama (Tokyo)Y. Uchiyama (Tokyo);; DCH: DCH: H. Nishiguchi (Tokyo)H. Nishiguchi (Tokyo), , M. Hillebrandt M. Hillebrandt

(PSI)(PSI); ; Beam & Magnet: Beam & Magnet: W. Ootani (Tokyo)W. Ootani (Tokyo);; Target: Target: V. Tumakov (UCI);V. Tumakov (UCI); NaI: NaI: Y.Y. Nishimura (Tokyo);Nishimura (Tokyo); Calibrations: Calibrations: F. CeiF. Cei

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Status of MEG Software

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