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SiD: Simulation and Reconstruction

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Presentation on theme: "SiD: Simulation and Reconstruction"— Presentation transcript:

1 SiD: Simulation and Reconstruction
SiD Workshop SLAC December 15, 2011 Norman Graf (for the sim/reco group)

2 DBD Goals for 2012 Finalize global system design via detector performance optimization using physics analyses. Incorporate latest detector R&D results. Incorporate latest engineering designs. Improve and understand tracking, PFA and flavor-tagging reconstruction. Automate & streamline production sim/reco.

3 Detector Development Process
Physics Motivation Benchmark Reactions Required Detector and Accelerator Performance Detector Design Concept Parametric Variation with Costs Evaluate Technical Realizability of Concept Simulation of Physics and Backgrounds Research & Development of Necessary Technology Reconstruction Engineering Evaluation & Modification of Concept Analysis: Signal & Background Evaluation Rational Design? Benchmark Performance vs Cost

4 Framework Overview APPLICATIONS DATA Event Gen StdHep LCIO Events SLIC
Pythia, WHIZARD, etc. StdHep Event Gen LCDD LCIO Events SLIC Simulation LCIO PFOs Event Reconstruction Pandora XML Tracking PFA Compact LCIO AIDA,root Event Analysis Flavor-tagging, Jet-finding, etc. Publication Tuple analysis, Event Display JAS3,Wired, root, PAW Tuple Analysis Visualization

5 Event Generation Common set of events in stdhep format will be generated for ILD & SiD. Stored and cataloged on the Grid. /grid/ilc/prod/ilc/mc-dbd Will use the B1bTF set of 1TeV ILC machine parameters. GuineaPig files generated. lumi-linker files generated. Signal & background generation soon. See talk by T. Barklow for details.

6 slic updates Using geant4 9.4.p02 Testing geant4 9.5 LCIO2.0
Comparing new physics lists Await some guidance from CALICE SCTG will agree on a common set for the DBD Testing geant4 9.5 Would like to use 9.5 for DBD production LCIO2.0 Read spin and color flow from input stdhep event, add to MCParticles.

7 slic updates If requested, store and save calorimeter hit positions within cells to enable more refined hit calculations. Will be used to study RPC charge-sharing code. Can write out each individual calorimeter hit in sensitive layers, but creates large output files, would like to integrate into slic. Also working to define efficient time history for cal hits.

8 org.lcsim Calorimetry RPC response will be improved to account for charge sharing across readout pads, electronic noise and inefficiency. Algorithms will be implemented in reconstruction software, may be migrated to simulation software if deemed appropriate. GEM and Micromegas responses will also be modelled. Scintillator response will still be supported, input from CALICE on uniformity, etc. will be used.

9 org.lcsim Tracking I TrackerHit classes will make use of new LCIO classes which support 1D and 2D hits on planar surfaces. Track will incorporate new TrackState classes. Existing collections will be moved. Improvements in silicon pixel response simulations. Incorporate non-prompt tracking into the standard reconstruction and used for V finding? Implementing track finding based on 3D hits.

10 org.lcsim Tracking II Work ongoing to implement existing Kalman Filter code into standard reconstruction stream. Extrapolator will be used to calculate TrackStates at Calorimeter face and at the dca to the IP. Should resolve existing deficiencies in track fits. Work ongoing to improve overall tracking simulations, lower priority but also useful to other end users. Effects of field map will be investigated. Runge-Kutta stepper code being adapted.

11 slicPandora slicPandora was successfully used to simulate the response of SiD’ (clic_sid_cdr) for the CLiC CDR. Need to study performance with digital SiD HCal, especially after including improved RPC response. Number of improvements have been made recently internal restructuring to provide more flexibility in defining input LCIO collections accommodation of changes to pandoraPFA itself Need to understand, characterize and optimize selection of algorithms and their ordering.

12 Vertexing LCFIVertex has been used for the LOI and CDR to provide secondary vertex identification and jet flavor tagging. Intend to follow new developments in LCFIVertexPlus and adopt to them as necessary. not being jet-based offers promise of improved performance in multi-jet environments. will require some changes in how events are processed. best to be involved from the beginning.

13 SLAC Scientific Computing Applications
New group formed at SLAC last year Amalgamation of previous Babar, Fermi, Geant4, Computing Division groups ~25 people providing software application support to experiments at SLAC Currently no dedicated funding for ILC/SiD/lcsim but proposal being developed to submit to DOE lcsim is getting some indirect support WIRED Support taken over by Dmitry Onoprienko Effort funded by Fermi (a.k.a GLAST) JAS/Plotter Support taken over by Brian Van Klaveren Funded by Fermi, LSST Work on new plotter ongoing

14 JAS3 & Wired Support for spin and color information in stdhep and lcio files has been added to the lcio browser. Number of improvements added to the Wired event display. object selection fully synchronized between all panels, tools, and views keyboard shortcuts ability to clone views (visibility, selection, cuts settings will remain shared among all cloned views) and to copy views (initial settings for visibility, selection, and cuts are copied from an existing view) selection is preserved when switching tools/handlers/control panels WIRED settings are integrated into JAS3 preferences menu picking options are fully functional cuts functionality extended. Manual available at Plan to implement online web start version (similar to Fermi/GLAST)

15 JAS/Plotter New plotter under development
Already in use by EXO, LSST JAS3 will be updated to include this plotter Many improvements over existing plotter Cleaner design aids extensibility More plot types More control over plot style “publication quality plots” Cleaner separation of code separates graphics from code Java 2D pdf/svg/png etc HTML5 canvas opengl/webgl New feature requests welcome

16 Detector Optimization
Not yet settled on final SiD version to be used for the physics benchmarking. Detector optimization studies to be undertaken in the next months. Any specific requests from subdetector systems? In addition to the baseline, some alternatives could be studied e.g. all-pixel silicon tracker (SPT), scintillator HCal.

17 Detector Design Baseline: Option 1: Option 2: Option 3: Others?
sid_dbd : LOI geometry with more realistic detector descriptions (~sidloi3). Option 1: sid_dbdopt: Detector optimized for 1TeV operations. Option 2: sid_dbdspt: Silicon Pixel Tracker option. Option 3: sid_dbdsci: Analog scintillator HCal Others?

18 Detector Implementation
First draft of LOI detector implementation has been available for quite some time. Need feedback from subdetector groups! Please see: What’s missing? What’s incorrect?

19 Detector Optimization
First iteration of optimization ongoing. sidloi3 HCal +/- 1 Processed e+e-  WW  qq’, ZZ  qq through full simulation. reconstruction, analysis chain using grid tools. Use W/Z separation as performance metric. Useful debugging exercise, thanks to the efforts of Jan, Stephane, Philipp and Jeremy earlier this week, the chain is working. Results soon. Need input from detector and analysis groups!

20 The Grid SiD intends to make full use of Grid Storage Element and computing resources for the DBD detector response simulation and physics benchmarking exercise. Full tool chain using Dirac has been developed and successfully used to complete the CLiC CDR exercise. Work earlier this week by Jan, Stephane, Jeremy & Philipp has resulted in a working local installation. Pilot jobs being sent to identify OSG resources. Need to run full sim/reco chain on small sample of events to identify scope of resources needed. Will need to identify production manager to oversee benchmark sample generation.

21 DBD Milestones Learn from and preserve functionality developed for CLiC CDR. Some amount of global detector optimization. Adapt tracking code to LCIO2.0 event data model. Implement Kalman fitting for final track states. Develop full digital HCal response simulation. Upgrade to latest PandoraPFA & LCFIPlus.

22 DBD Deliverables Results expected for inclusion in DBD
Full simulation of realistic detector design including support structures. Overlay of correct admixture of expected beam-related backgrounds. Full tracker hit digitization and ab initio track finding and fitting. Digital RPC signal simulation, including cross-talk, noise & inefficiencies. Full reconstruction using slicPandora & LCFIVertex (LCFIPlus if available)

23 DBD Concerns Issues/concerns for DBD and beyond
Loss of key individuals in reconstruction efforts. Lack of manpower to conduct detector optimization studies. Weak connection to subdetector groups No synergy Aging software infrastructure. Delay in generating physics benchmark input events.

24 and beyond… Techniques developed for ILC and CLiC can also be used for Muon Collider studies. Some additions to slic and GeomConverter specific to MuC e.g. tapered endcap calorimeters Background overlay and timing cut functionality developed and tested at CLiC directly applicable.

25 Muon Collider Shielding
Shielding “nose” fully defined and configurable by specifying zplanes (z,rmin, rmax) for the surface of revolution about the z axis. Straightforward to study multiple setups.

26 Endcaps rmax zmin, rmin, opening angle Layering engine does the rest.

27 Muon Collider Detector
Initial studies started prior to Telluride meeting. Will continue in preparation for Snowmass 2013.


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