1. Chris Bee ATLAS High Level Trigger Introduction System Scalability Trigger Core Software Development Trigger Selection Algorithms Commissioning & Preparation for Cosmics & First Beam

2. Chris Bee 2 Event rate  Level-2  Level-1  Offline Analyses Massstorage  IntroductionIntroduction

3. Chris Bee 3 IntroductionIntroduction ATLAS trigger comprises 3 levels –LVL1 Custom electronics & ASICS, FPGAs Max. time 2.5  s Use of Calorimeter and Muon detector data Reduce interaction rate to 75 kHz –LVL2 Software trigger based on linux PC farm (~500 dual CPUs) Mean processing time ~10 ms Uses selected data from all detectors (Regions of Interest indicated by LVL1) Reduces LVL1 rate to ~1 kHz –Event Filter Software trigger based on linux PC farm (~1600 dual CPUs) Mean processing time ~1s Full event & calibration data available Reduces LVL2 rate to ~100Hz Note – large fraction of HLT processor cost deferred  initial running with reduced computing capacity

4. Chris Bee 4 ATLAS Trigger & DAQ Architecture HLTHLT DATAFLOWDATAFLOW 40 MHz 75 kHz ~2 kHz ~ 200 Hz Event Building N/work Dataflow Manager Sub-Farm Input Event Builder EB SFI EBN DFM Lvl2 acc = ~2 kHz Event Filter N/work Sub-Farm Output Event Filter Processors EFN SFO Event Filter EFP ~ sec ~4 GB/s EFacc = ~0.2 kHz TriggerDAQ RoI Builder L2 Supervisor L2 N/work L2 Proc Unit Read-Out Drivers FE Pipelines Read-Out Sub-systems Read-Out Buffers Read-Out Links ROS 120 GB/s ROB LV L1 D E T R/O 2.5  s Calo MuTrCh Other detectors Lvl1 acc = 75 kHz 40 MHz ROD LVL2 ~ 10 ms ROIB L2P L2SV L2N RoI RoI data = 1-2% RoI requests specialized h/w ASICs FPGA 120 GB/s ~ 300 MB/s ~2+4 GB/s 1 PB/s

5. Chris Bee 5 ATLAS Three Level Trigger Architecture 2.5  s ~10 ms ~ sec. LVL1 decision made with calorimeter data with coarse granularity and muon trigger chambers data. Buffering on detector LVL2 uses Region of Interest data (ca. 2%) with full granularity and combines information from all detectors; performs fast rejection. Buffering in ROBs EventFilter refines the selection, can perform event reconstruction at full granularity using latest alignment and calibration data. Buffering in EB & EF

6. Chris Bee 6 LVL1 - Muons & Calorimetry Muon Trigger looking for coincidences in muon trigger chambers Calorimetry Trigger looking for e/  /  jets Various combinations of cluster sums and isolation criteria Calorimetry Trigger looking for e/  /  jets Various combinations of cluster sums and isolation criteria Toroid

7. Chris Bee 7 ATLAS LVL1 Trigger Calorimeter trigger Muon trigger Central Trigger Processor (CTP) Timing, Trigger, Control (TTC) Cluster Processor (e/ ,  /h) Pre-Processor (analogue  E T ) Jet / Energy- sum Processor Muon Barrel Trigger Muon End-cap Trigger Muon-CTP Interface (MUCTPI) Multiplicities of  for 6 p T thresholds Multiplicities of e/  /h, jet for 8 p T thresholds each; flags for  E T,  E T j, E T miss over thresholds; multiplicity of fwd jets LVL1 Accept, clock, trigger- type to Front End systems, RODs, etc – RoI pointers ~7000 calorimeter trigger towers O(1M) RPC/TGC channels E T values (0.2  0.2) EM & HAD E T values (0.1  0.1) EM & HAD p T,  information on up to 2  candidates/sector (208 sectors in total)

8. Chris Bee 8 RoI Mechanism LVL2 uses Regions of Interest as identified by Level-1 Local data reconstruction, analysis, and sub-detector matching of RoI data LVL2 uses Regions of Interest as identified by Level-1 Local data reconstruction, analysis, and sub-detector matching of RoI data LVL1 triggers on high p T objects Calorimeter cells and muon chambers to find e/  /  -jet-  candidates above thresholds LVL1 triggers on high p T objects Calorimeter cells and muon chambers to find e/  /  -jet-  candidates above thresholds The total amount of RoI data is minimal ~2% of the Level-1 throughput but it has to be accessed at 75 kHz H → 2e + 2  22 22 2e

9. Chris Bee 9 Physics Selection Strategy ATLAS has an inclusive trigger strategy –LVL1 Trigger on individual signatures EM cluster Muon track Jets Total Energy Missing Energy –LVL2 confirms & refines LVL1 signature requires seeding of LVL2 with LVL1 result – i.e. RoI –Event Filter confirms & refines LVL2 signature & more complete event reconstruction Possibility of seeding of Event Filter with LVL2 result tags accepted events according to physics selection Reject events early –Save resources minimize data transfer minimize required CPU power

10. Chris Bee 10 System Scalability

11. Chris Bee 11 ATLAS TDAQ Physical Layout Central Switches Events Built

12. Chris Bee 12 System Scalability Extended testing programme for system scalability testing –Dedicated testbed for dataflow performance & networking issues  Data Acquisition group –Large clusters worldwide for “node” scalability testing Machine & run control Start/end run cycling Software distribution Large scale configuration  Data Acquisition & Trigger groups –Trigger focus on Event Filter Recent work –Use of LXSHARE cluster at CERN ~ 500 nodes and WESTGRID cluster in Canada (~840 nodes) Plans –Use of 50-700+ nodes on LXSHARE this summer –http://atlas-tdaq-large-scale-tests.web.cern.chhttp://atlas-tdaq-large-scale-tests.web.cern.ch

13. Chris Bee 13 Summary of Recent Tests Conclusions –Primary goal was system porting and debugging –Important bug in CORBA lib was found and fixed Many others benefits obtained: –Experience in porting large-scale DAQ system –Many particular indications for weak points and possible improvements –General impression of run control transition times LST @ CERN –June 6 – July 19 –Many things being tested / investigated / measured –We are ready following experience from WestGrid

14. Chris Bee 14 System Scalability Many hardware issues need attention –How to organize O(2000) PCs racks, space, weight, heat & cooling, cabling data I/O & networking operating – booting, s/w installation, operational monitoring dependency on ever evolving PC & CPU architectures and compilers, applicability of Moore’s Law Remote farms Possible Involvement –Longer term possibilities of LSTs at SLAC? –Software development & testing work in the Event Filter to include requirements from overall ATLAS monitoring and calibration –Work on the specification development, installation, maintenance & running of the EF

15. Chris Bee 15 Trigger Core Software Development

16. Chris Bee 16 Trigger Core Software Development Provides a coherent software framework for LVL2 and EF Coherent data access methods Re-use of some offline components where appropriate Development platform ~common across trigger & offline –Facilitates online/offline comparisons & ease of development Detailed collaboration with core offline development group as well as detector software development –Benefit from detailed expertise in each detector group –E.g. => in last year’s testbeam: detector monitoring software developed for use in offline was also used online in the EF –Considerable exchange of ideas & development –Performance & efficiency improvements done for the trigger now benefit offline  some new offline functionality benefits the trigger More specific dedicated development for LVL2

17. Chris Bee 17 HLT Event Selection Software HLT Data Flow Software HLT Selection Software  Framework ATHENA/GAUDI  Reuse some offline components  Common to Level-2 and EF ~Offline algorithms used in EF

18. Chris Bee 18 LVL2 Development Environment Data Flow L2PU Steering Controller Algorithms ATHENA Environment athenaMT Steering Controller Algorithms Link to algorithm libraries Support for multiple threads OfflineOnline Offline support for Level-2 developers Multithreaded offline application AthenaMT Emulates complete L2PU environment No need to setup complex Data Flow systems As simple to run as a normal offline application: athenaMT Coding guidelines for Lvl2 developers  HLT software development and testing in offline environment  Final “certification” procedure in Data Flow test-beds Development and Data Flow setup for Level-2

19. Chris Bee 19 Trigger Core Software Development Possible Involvement –Work & responsibility in specific s/w packages in the core s/w –Trigger configuration and algorithm control system –Trigger monitoring framework and strategy –Offline/online Software integration

20. Chris Bee 20 Trigger Selection Algorithms

21. Chris Bee 21 Trigger Selection Algorithms On-line event selection in the HLT based on algorithmic software tools running in LVL2 and EF farms, sequenced by HLT steering –LVL2 specialized algorithms, EF algorithms adapted from off-line –Important deployment in HLT test-beds to assess compliance with realistic on-line environment Building on expertise and development inside detector communities –Calorimeters, Inner Detector, Muon Spectrometer Studies of efficiency, rates, rejection factors, physics coverage organized around five main lines (“vertical slices”) coherently mapped to the Physics Combined Performance groups (see physics session) –Electrons and photons Fundamental signatures for both precision measurements and discovery signals –Muons Low- and High-P T objects, strategic also for B-physics programme –Jets / Taus / ETmiss Models testing, new physics –b-tagging Optimize physics coverage, add flexibility and redundancy to HLT selection starting from LVL2 –B-physics Rich program of work with new strategies dependent on luminosity Most recent talks on performance studies –http://agenda.cern.ch/fullAgenda.php?ida=a052747http://agenda.cern.ch/fullAgenda.php?ida=a052747

22. Chris Bee 22 Trigger Menus and Strategy Extracting tiny signals out of huge backgrounds requires the HLT selection strategy to be robust, redundant and flexible –Selections are mostly inclusive, with as-low-as-possible p T thresholds for fundamental objects –The usage of software tools at both HLT levels allows detailed studies of the boundary between LVL2 and EF Different paths leading at approximately the same efficiency (electrons in the figure) Example of flexibility and different selection sequences Choice will depend on background conditions, detector knowledge, luminosity, … The building of complete Trigger Menus evolves and complement the work done in the slices –Moving from single objects to complex topological signatures –Include issues of pre-scaled triggers, monitor triggers, etc –Optimize to environmental conditions Commissioning the HLT selection will be an important step towards physics data taking –Needs to be ready for cosmic period –Implies modification to algorithms, new sequences

23. Chris Bee 23 Trigger Selection Possible Involvement –Work in trigger algorithm development and selection performance evaluation Jet / tau / Etmiss area is in particular need of increased effort Other areas would also benefit from new manpower and groups willing to take on new responsibility –Preparation/adaptation of sets of algorithms & selection procedures for use in cosmic running and in initial beam periods (single beams, very initial collisions etc)

24. Chris Bee 24 Commissioning & Preparation for Cosmics & First Beam

25. Chris Bee 25 CommissioningCommissioning Detailed planning for stepwise commissioning of the trigger system (LVL1 & HLT) is being prepared –Planning taking account of detector plans and triggering requirements for their commissioning –Planning in various phases with increasing levels of integration Commissioning planning is broken in 4 broad phases: –Subsystem standalone commissioning –Integrate subsystems into full detector –Cosmic rays, recording data, analyze/understand, distribute to remote sites –Single beam, first collisions, increasing rates Phases will overlap  TDAQ “pre-series” system

26. Chris Bee 26 TDAQ Pre-series system Fully functional, small scale, version of the complete HLT/DAQ system –Equivalent to a detector’s ‘module 0’ Purpose and scope of the pre-series system: –Pre commissioning phase: To validate the complete, integrated, HLT/DAQ functionality To validate the infrastructure, needed by HLT/DAQ, at point-1. –Installed at point 1 (USA15 and SDX1) –Commissioning phase To validate a component (e.g. a ROS) or a deliverable (e.g. a Level-2 rack) prior to its installation and commissioning –TDAQ post-commissioning development system. Validate new components (e.g. their functionality when integrated into a fully functional system). Validate new software elements or software releases before moving them to the experiment.

27. ROS, L2, EFIO and EF racks : one Local File Servers, one or more Local Switches One Switch rack - TDAQ rack - 128-port GEth for L2+EB One ROS rack - TC rack + horiz. cooling - 12 ROS 48 ROBINs One Full L2 rack - TDAQ rack - 30 HLT PCs Partial Superv’r rack - TDAQ rack - 3 HE PCs Partial EFIO rack - TDAQ rack - 10 HE PC (6 SFI - 2 SFO - 2 DFM) Partial EF rack - TDAQ rack - 12 HLT PCs Partial ONLINE rack - TDAQ rack - 4 HLT PC (monitoring) 2 LE PC (control) 2 Central FileServers RoIB rack - TC rack + horiz. cooling - 50% of RoIB 5.5 Pre-Series SDX1USA15

28. Chris Bee 28 CommissioningCommissioning Phase 1 commissioning will be completely defined after the experience with the pre-series Parallelize commissioning work as much as possible –Use data taken during detector commissioning to test data unpacking tools –Develop special algorithms to test component units –Extend offline s/w testing procedures –Provide infrastructure to collect systematic information from trigger selection studies: List of selection variables Graphs of rate and efficiency variation –There is a strong coupling with the offline commissioning activities Trigger commissioning extends well into data-taking –Need good coordination with physics groups –Treat the trigger as a single object to be commissioned (inc. LVL1) –Will need a clear strategy for the daily run meetings (data request) It is clear that the “Extra Triggers (monitoring, calibration, etc…) will be much larger than the foreseen 10% during the first months of data-taking

29. Chris Bee 29 CommissioningCommissioning Possible involvement –  We would like to benefit from your experience in commissioning and running the BaBar experiment & elsewhere –Work in installing, developing and exploiting the pre-series system –Development of algorithms and procedures that allow to rapidly check the trigger performance with real data and monitor the overall HLT commissioning advancement –Responsibility in the more general trigger commissioning activities and in preparing the ATLAS trigger for cosmic tests and first beams in LHC –There is considerable lack of effort in this area and there is room for major involvement and responsibility

30. Chris Bee 30 SummarySummary Outlined several areas within the ATLAS HLT system where members of the SLAC team could contribute and take responsibility Spread of areas ranging from more technical software design and implementation to much more physics oriented work Many interesting challenges ahead to lead ATLAS into data- taking and first physics TDAQ Workshop in Mainz, Germany 10-14 October 2005 WELCOME !!!

31. Chris Bee 31 BackupBackup

32. Chris Bee 32 ATLAS LVL1 Trigger LVL1 Accept 75(100) kHz 75(100) kHz

33. Chris Bee 33 BML RPC station 2 (Pivot) RPC station 1 (Low Pt confirm) T Z  Z RPC 2 Z RPC 1 Z MDT  Z = (Z RPC 2 + Z RPC 1 )/2 – Z MDT  RoI reconstruction at LVL2 using  Fast Muon Road

34. Chris Bee 34 muFast Timing Measurements  Fast latency is the CPU time taken by the algorithm without considering the data access/conversion time: –the presence of Cavern Background does not increase the  Fast processing time. The total latency shows timings made on the same event sample before and after optimizing the MDT data access. Optimized version: –total data access time ~ 800  s; –data access takes the same cpu time of  Fast; Optimized code run on (Pentium III @ 2.3GHz). Physics: single muon,p t =100 GeV Cavern Background: High Lumi x 2

35. Chris Bee 35 Stepwise HLT Selection Selection takes place in steps Rejection can happen at every step Trigger Decision and Data Navigation is based on Trigger Elements Algorithms use the result from previous steps (Seeding) using the Data Navigation and the Trigger Elements The initial seeds for the LVL2 steps are the LVL1 RoIs e50i + e50i+e50i ? e50i e50 + isolation e50 EM50 + Event Accepted RoI isolation elecId EM50 Decision LVL1 Trigger Element RoI

36. Chris Bee 36 The Different Commissioning Phases (1) HLT standalone commissioning –Units of racks (considered to be a unit to be commissioned) –A rack delivered from installation has: Checked the power, cooling and network within and outside the rack Operating system installed –Commissioning starts with the installation of the DAQ and offline software Check internal Dataflow (preloaded data) –Monitoring tools Offline software –Offline software distribution procedures –Automatic testing procedures –Testing algorithms

37. Chris Bee 37 The Different Commissioning Phases (2) Integrate subsystems into the full detector. – These operations that have a very strong coupling with the offline commissioning activities –First start with data unpacking algorithms Monitoring infrastructure to check this step –Use any commissioning data taken by the detectors to debug this part of the system Even if the data is corrupted, it might be very useful to test the robustness of the code Current activities (or areas where we need to concentrate effort) –Extend the pool of data prep algorithms Algorithms must be scrutinized and broken up in simpler testing units –Testing procedures for both offline selection software and interface to DAQ software are being strengthened and running in the nightly automatically The goal is to arrive to a set of tests that almost guarantee further test-bed (or pre-series, etc) integration will succeed –Specify constraints and tests in the offline software before distribution –Software distribution

38. Chris Bee 38 The Different Commissioning Phases (3) The remaining phases correspond to commissioning while data is being taken and assumes: –Complete HLT Dataflow is working –The algorithms start selecting/rejecting events The trigger work will focus more on demonstrating that an algorithm gives an Xx.Yy% selection efficiency with some rejection rate This activities are very important: –Help to develop and tune the algorithms –Give us the building blocks to test the complete HLT chain –However, for commissioning, we need to be focused also in some other aspects Have a centralized place where the complete set of parameters that algorithms use (will be inside the configuration in the future) are listed –Size of data request around the ROI –Set of selection cuts For every “selection variable” we need the graph of variation in selection efficiency and rejection rate around the chosen optimal point (we are sure we will have to tune it with data) Need to prepare a set of algorithms and methods that allow us to check the trigger performance with data: –Particles with known mass (selected only triggering in one of its decay products) –How many hours of data-taking do we need to know the selection efficiency within a 5% precision?