CLAS12 Analysis Readiness R. De Vita for the CLAS Collaboration Jefferson Lab Software Review November 10, 2016

CLAS12 Analysis Readiness Outline Reconstruction & Calibration validation using pseudo-data GEMC: Realistic detector simulations Reconstruction validation and usage Calibration development and testing Data analysis workflow & preparation: Analysis workflow Event generators and background simulations Physics analysis example Analysis organization Timeline ADD ROADMAP FOR THE CHARGE JLAB Software Review, 11/10/2016 CLAS12 Analysis Readiness

Realistic Detector Simulations Digitization Routines Geometry CCDB Scintillators attenuation lengths Drift Chamber cell inefficiencies, Residuals Resolution parameters Same constants as real data: actual calibration constants Realistic geometry description Active and passive materials CAD drawing conversion for most complicated elements Same geometry for reconstruction FTOF response to MIPs in GEMC Counts MAKE PLOT DARKER Expected position from real data FTOF in GEMC ADC Counts JLAB Software Review, 11/10/2016 CLAS12 Analysis Readiness

CLAS12 Analysis Readiness Event Reconstruction π0 reconstruction from forward EM calorimeters Two-photon invariant mass Two-photon opening angle M2π0 = 2Eγ1Eγ2[1− cosθ12] Charged particle identification from TOF detectors JLAB Software Review, 11/10/2016 CLAS12 Analysis Readiness

Calibration & Monitoring Development of calibration and monitoring applications in an advanced stage for both baseline and ancillary CLAS12 subsystems: CVT monitoring GUI Calibration and monitoring software is based on COATJAVA Algorithm development supervised by the CLAS12 calibration & commissioning group (CALCOM) Implementation supervised by the software group Tests on both cosmic ray and simulated data Preparations for first Calibration Challenge (Dec. 2016) in progress FTOF calibration GUI Status: Now: ready for Feb 2017 commissioning run June 2017: ready for physics in Fall 2017 engineering run EC/PCAL calibration GUI EC-Pcal (UVA/Jlab, Ohio) FTOF (Glasgow, Iowa, MSU, JLab) LTCC (Temple, JLab) DC (Mississippi, ISU, Julich, JLab) HTCC (FIU, UConn, JLab) MM (CEA-Saclay, JLab) SVT (Jlab, Temple) CTOF (Glasgow, Jlab) CND (Orsay, Glasgow) FT (INFN, Edinburgh) RICH (INFN, Duquesne) JLAB Software Review, 11/10/2016 CLAS12 Analysis Readiness

CLAS12 Analysis Readiness EC/PCAL Calibration Attenuation (cm) Gain Validation of MIP Calibration Algorithm U W V EC Inner Fits to simulated data used to evaluate cuts and thresholds. Estimate time needed to accumulate sufficient statistics. Estimate accuracy of gain and attenuation extraction. Simulated Attenuation Fit to GEMC simulation Expected MIP JLAB Software Review, 11/10/2016 CLAS12 Analysis Readiness

Alignment of the SVT using Millepede Misalignment results obtained from Millepede tested on MC Reconstruction of cosmic events with millepede misalignments incorporated Type 1 track shift barrel R1 by 20 microns MC validations Real Data validations JLAB Software Review, 11/10/2016 CLAS12 Analysis Readiness

Calibration Challenge Test of the full calibration procedure: Generate pseudo-data with “wrong” calibration constants Run calibrations for all systems in appropriate sequence Extract calibration constants and save them to DB Evaluate calibration quality by looking at monitoring plots comparing reconstruction output with extracted and original constants Who: Analysis coordinator Calibrator team DB manager “Chef” for data processing When: December 12-19 2016 (1 week time) How: Generate pseudo data with Pythia and full luminosity background 1 shift (8 h) worth of data Daily meetings and milestones for coordination and progress tracking JLAB Software Review, 11/10/2016 CLAS12 Analysis Readiness

CLAS12 Analysis Readiness Data Analysis Scheme CCDB RAW DATA Simulation Calibration MC DATA RECONSTRUCTED DATA Reconstruction DSTs DSTs Event selection CHECK COLORS COATJAVA/CLARA Physics analysis PHYSICS OBSERVABLE JLAB Software Review, 11/10/2016 CLAS12 Analysis Readiness

Event Selection Tool CLAS Collection of algorithms and procedures to select events from reconstruction output and provide DSTs for specific final states: Select golden runs and files Select events for specific final state Apply: kinematic corrections fiducial cuts … Output DST files with: fully corrected 4-vectors for physics analysis detector related info for refinement of PID and signal selection luminosity and helicity related info Implement file tagging for easy data handling and distribution inspired by the CLAS data mining project CLAS/CLARA Data Mining CLAS JLAB Software Review, 11/10/2016 CLAS12 Analysis Readiness

Physics Event Generators ~1min at 1035cm-2sec-1 PYTHIA Generated events available for calibration and reconstruction tests, and physics studies: INCLUSIVE ep ➝ e’X generator SIDIS LUND MC (PYTHIA and PEPSI) Generating (claspyth) low Q2 events for hadronic background and PID studies using modified PYTHIA Generate (clasDIS) single and double-spin dependent processes using the modified PEPSI (LEPTO) Exclusive events exclusive g (DVCS), p/h using GPD models exclusive eKL, eppp,.. phase space for multiparticle final states inclusive e- clasDIS P(GeV) p in DVCS p- in eLX GET MATERIAL FROM HARUT q(deg) L S MX(epp-X) M2X(eKX) JLAB Software Review, 11/10/2016 CLAS12 Analysis Readiness

Simulating EM Background Can be set with gcards: <option name="LUMI_EVENT" value="124000, 250*ns, 4*ns" /> <option name="LUMI_P" value="e-, 11*GeV, 0*deg, 0*deg" /> <option name="LUMI_V" value="(0.,0.,-4.5)cm" /> <option name="LUMI_SPREAD_V" value="(0.01, 0.01)cm" /> 124K e-/event = 1035 s-1cm-2 on 5cm LH target Start beam before the target, 100 micron wide DVCS event with no EM background DVCS event with EM background at full CLAS12 luminosity JLAB Software Review, 11/10/2016 CLAS12 Analysis Readiness

High Level Analysis Tools Radiative Corrections Needed to account for distortion of measured observables (cross section and asymmetries) induced by radiation: distortion of observable magnitude modulation of angular distributions Use and extension of algorithms and codes utilized for 6 GeV program: RadGen for inclusive/DIS processes ExcluRad for single meson production Dvcsgen for DVCS HapRad and SidisGen for SIDIS … Dedicated Workshop at JLab in May 2016: Set of precision calculations of radiative corrections for different processes including the full set differential cross section Development of generators including the radiative photon emission JLAB Software Review, 11/10/2016 CLAS12 Analysis Readiness

Physics Analysis Example Deeply Virtual Compton Scattering Accessing Generalized Parton Distributions amplitudes Exercise of the physics analysis chain, from event generation to physics observable extraction GET NEW SLIDE FROM LATIFA Missing Mass cut Angular cut JLAB Software Review, 11/10/2016 CLAS12 Analysis Readiness

Analysis Organization CLAS Coordinating Committee Physics Working Groups Analysis Review Committee Collaboration Governance Calibration & Commissioning Group Contact Person Analysis Coordinator Software & ReconstructionGroup Calibration Team Analysis Team Experts First Experiment JLAB Software Review, 11/10/2016 CLAS12 Analysis Readiness

CLAS12 Analysis Readiness Timeline TASK 2016 2017 Oct. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sept SIMULATION RECONSTRUCTION CALIBRATION ANALYSIS EVENT SELECTION TOOLS PHYSICS ANALYSIS TOOLS EXP. SCHEDULE New release ready for physics studies New release ready for physics studies Ready for KPP Ready for Physics First release Test of analysis chain on pseudo data KPP Run Engineering Run JLAB Software Review, 11/10/2016 CLAS12 Analysis Readiness

CLAS12 Analysis Readiness User Involvement Software workshops and demonstrations at CLAS Collaboration meetings 3 times/year Last week meeting: >30 participants on site and 15 remotely connected Analysis workshop planned at next Collaboration meeting Weekly meetings of software and CalCom groups experts developers users Mailing list (clas12_software@jlab.org) and forums (https://clasweb.jlab.org/drupal/) Documentation: CLAS12 wiki: https://clasweb.jlab.org/wiki/index.php/ CLAS12_Wiki CLAS12 docs: http://clasweb.jlab.org/clas12offline/docs/software/3.0/html/) GEMC: https://gemc.jlab.org/gemc/html/index.html JLAB Software Review, 11/10/2016 CLAS12 Analysis Readiness

CLAS12 Analysis Readiness Summary Simulations ready to generate realistic pseudo data Reconstruction released for user to study physics reactions Calibration tools developed with real and pseudo data Now: ready for Feb. 2017 commissioning run July 2017: ready for Fall 2017 engineering run Analysis tools under development: Event generators Event selection and data handling tools High level physics analysis tools Test of physics reaction analysis Analysis organization and management defined Ready for physics in Fall 2017 JLAB Software Review, 11/10/2016 CLAS12 Analysis Readiness

CLAS12 Analysis Readiness Backup JLAB Software Review, 11/10/2016 CLAS12 Analysis Readiness

CLAS12 Analysis Readiness Event Reconstruction Single track resolution and multi-track event reconstruction Electron momentum and angular resolution TDR: σ(p)/p ~ 1% σ(θ) ~ 1 mrad σ(φ) ~ 3 mrad σ(p)/p vs. p σ(θ) vs. p σ(φ) vs. p ADD TRACKING EFFICIENCY Missing mass from exclusive final states JLAB Software Review, 11/10/2016 CLAS12 Analysis Readiness

Monitoring and Calibration GUI ECMon Monitoring and Calibration GUI Current Features Common JAVA framework for PCAL and EC. Pixels dynamically generated from geometry database. Mouse-over navigation of detector elements. Live updating of detector response and calibration results. Monitoring Occupancy: strips, pixels, fADC and TDC data. fADC data: pulse shape, noise, fitter settings. Single event: visualize/analyze hits, peaks, clusters. Pedestals: offsets, noisy channels. EPICS data (scalers and HV) for status monitoring. Calibration Single pixel filters for cosmic muon hits. Optimization of pixel selection (statistics, geometry). Fits to pixel data: PMT gains and light attenuation. Validation using GEMC simulations. ECAL: 1296 pixels PCAL: 6916 pixels Further Development In Progress Energy cluster reconstruction and trigger debugging support. Energy calibration using physics data (e-, p0, and MIP pions). Timing calibration (offsets, time-walk). EC, PCAL relative alignment using cosmic muon pixel tracks. Work by C. Smith (JLab), N. Compton (Ohio), T. Chetry (Ohio) JLAB Software Review, 11/10/2016 CLAS12 Analysis Readiness

FTOF and CTOF Calibration Work completed / in progress: Classes for each calibration step provide standard interface to generate constants HV, left-right timing, attenuation length tested with cosmic and GEMC data Effective velocity and time walk – testing done with GEMC data Work planned: Further testing with GEMC data Paddle to paddle offsets Documentation L. Clark (Glasgow) JLAB Software Review, 11/10/2016 CLAS12 Analysis Readiness

CLAS12 Analysis Readiness HTCC Gain Matching The Calibration Suite for the HTCC is written using Common Tools provided by the CLAS12 Software group The Suite is multithreaded and object oriented The object oriented design of this software will save time Due to the design, it could be adapted to detector systems that find the SPE peak position in other ways (e.g. LTCC) Fitting Benchmarks 4 Threads The task: fit 1488 histograms ~2min per fit serially Java .jar file and .hipo data files were able to run across all platforms and OSes with no issues 32 Threads 64 Threads Work by Y. Sharabian (JLab), N. Markov (UConn), W. Phelps (FIU) JLAB Software Review, 11/10/2016 CLAS12 Analysis Readiness

CLAS12 Analysis Readiness DC Calibration Status trkDoca/docaMax Time (ns) Time-to-distance calibration program written (in ROOT) and tested on cosmic data available from one R1 chamber. To be done: a GUI-driven automated suite: Java version of the time-to-distance minimization routine to calibrate the parameters (In Progress). GUI using common tools (Started) Putting together various components: Decoder (Done) Time Delay Corrections (Done) Reconstruction (Done) Minimizer (Underway) Writer of results to CCDB Superlayer 1 Residual (cm) = 246 microns K. Adhikari (Mississippi), M. Mestayer (JLab) JLAB Software Review, 11/10/2016 CLAS12 Analysis Readiness

CLAS12 Analysis Readiness SVT Calibration Suite Work in progress: Creating CCDB tables Porting to COATJAVA 3.0 https://clasweb.jlab.org/wiki/index.php/Calibration S.N.R. > 15 short strips JLAB Software Review, 11/10/2016 CLAS12 Analysis Readiness

CLAS12 Analysis Readiness CND Calibration Suite COATJAVA 2.4 based suite nearly complete - will be updated for use with 3.0 when required Developed with cosmic data → some small changes will be required for GEMC data testing (plans in place for this) CND group will fully test suite using initial documentation as part of an iterative suite improvement process Complete: timing offset correction noise removal time resolution effective velocity In progress: light attenuation (80%) energy calibration (initial work will be imported then optimized) G. Murdoch (Glasgow) JLAB Software Review, 11/10/2016 CLAS12 Analysis Readiness

CLAS12 Analysis Readiness Forward Tagger INFN – Genova, Edinburgh U., CEA-Saclay System checkout and commissioning with cosmic rays Combined Cal+Hodo+Trk monitoring GUI Now upgrading to COATJAVA 3.0 JLAB Software Review, 11/10/2016 CLAS12 Analysis Readiness

MVT Calibration Status 1 ) Low-level calibration procedure developed that needs to be incorporated in the calibration suite: - Extract and store pedestals and RMS pedestals. - Store time resolution and sampling constants (number of samples, rate). Pedestals RMS Pedestals 2) Need now to implement the high-level calibration code that consists of: - Computing and correcting for Lorentz angle in the reconstruction. - Storing masks for dead/noisy strips in the database. CEA - Saclay JLAB Software Review, 11/10/2016 CLAS12 Analysis Readiness

CLAS12 Analysis Readiness Alignment of the SVT Track-based alignment of SVT requires fitting many parameters: Nsectors x Nlayers x Ntrans x Nrot = 66 x 2 x 3 x 2 = 792 Program millepede does linear least squares with many parameters. Uses matrix form of least squares method and divide the elements into two classes. Global parameters – the geometry misalignments. Same in all events. Local – individual track fit parameters. Change event-to-event. Calculate first partial derivatives of the fit residuals with respect to the local (i.e. fit) parameters and global parameters (geometry misalignments). Manipulate the linear least squares matrix to isolate the global parameters (geometry) and invert the results to obtain the solution. Type 1 tracks – Horizontal sensors. Apply to a ‘simple’ example – Type 1 tracks. Simulated cosmics for validation. Shift layers 1-2 (Region 1) by 20 microns in x. millepede reproduces shifts in the range 2-500 mm. Apply to Type-1 cosmic ray sample from SVT. 5.9M events; fixed layer 4 to SVT residual. Millepede misalignments added to reconstruction, residuals ~25 mm. Resolution in sectors 70-80 mm. Code for more complex events now being tested. JLAB Software Review, 11/10/2016 CLAS12 Analysis Readiness

CLAS12 Analysis Readiness Alignment of the SVT Ideal Geometry Validation and Testing Calculate ideal fiducial location on each module. Observed significant difference with engineering drawings - up to 100 µm. Worked with engineers to correct differences. Ideal geometry now well defined with parameters from engineering drawings. Differences < 3 mm Geometry package Common Java utility to access geometry for gemc simulation and reconstruction. Generate shifts from ideal geometry to measured fiducial results. Processing fiducial survey data in alignment shifts – validating with simulated tracks. Putting full inventory of material in SVT gemc simulation. Fiducials form triangle on sensor. JLAB Software Review, 11/10/2016 CLAS12 Analysis Readiness

Physics analysis example Deeply Virtual Compton Scattering Cross-sections Beam Spin Asymmetry Φ (°) Ebeam = 6.6 GeV Ebeam = 8.8 GeV Accessing Generalized Parton Distributions amplitudes JLAB Software Review, 11/10/2016 CLAS12 Analysis Readiness