CSN1 Aprile 2006 ATLAS HLT/DAQ. Valerio Vercesi on behalf of all people working

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1 CSN1 Aprile 2006 ATLAS HLT/DAQ Valerio Vercesi on behalf of all people working

2 S. Falciano (Roma1) Coordinatore Commissioning HLT A. Negri (Irvine, Pavia) Coordinatore Event Filter Dataflow A. Nisati (Roma1) TDAQ Institute Board chair e Coordinatore PESA Muon Slice F. Parodi (Genova) Coordinatore b-tagging PESA V. Vercesi (Pavia) Deputy HLT leader e Coordinatore PESA (Physics and Event Selection Architecture) Attività italiane Trigger di Livello-1 muoni barrel (Napoli, Roma1, Roma2) Trigger di Livello-2 muoni (Pisa, Roma1) Trigger di Livello-2 pixel (Genova) Event Filter Dataflow (LNF, Pavia) Selection software steering (Genova) Event Filter Muoni (Lecce, Napoli, Pavia, Roma1) DAQ (LNF, Pavia, Roma1) DCS (Napoli, Roma1, Roma2) Monitoring (Cosenza, Napoli, Pavia, Pisa) Pre-series commissioning and exploitation (Everybody) CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 2

3 ATLAS Trigger & DAQ Muon Calo Inner Latency Rates Hardware based (FPGA, ASIC) Calo/Muon (coarse granularity) LVL1 Pipeline Memories 2.5 μs 40 MHz High Level Trigger Software (specialised algs) Uses LVL1 Regions of Interest All sub-dets dets, full granularity Emphasis on early rejection Offline-like like algorithms Possibly seeded by LVL2 result Work with full event Full calibration/alignment info RoI LVL2 ROD ROD ROD ROB ROB ROB ROD ROD ROD ROB ROB ROB Event builder cluster EF Read-Out ROD ROD Drivers ROD Local Storage: ~ 300 MB/s Read-Out Subsystems hosting ~10 ms ROB ROB ROB Read-Out Buffers Event Filter farm ~ 1 s ~100 khz ~3 khz ~200 Hz CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 3

4 TDAQ Networks and Processing Data storage Event rate ~ 200 Hz Event data pulled: partial 100 khz, full ~ 3 khz ~30 Local Storage SubFarm Outputs (SFOs) DataFlow Manager Regions Of Interest RoI Builder Dual(quad)-CPU nodes ~1600 ~100 ~ 500 Event Event Builder LVL2 Filter SubFarm (EF) Inputs farm (SFIs) Network switches Requested event data Event data requests Delete commands USA15 ~150 PCs Read-Out Subsystems (ROSs) Gigabit Ethernet Timing Trigger Control (TTC) 1600 Read- Out Links LVL2 Supervisor Secondlevel trigger pros stores LVL2 Network switches output VME Read- Out Drivers (RODs) SDX1 Data of events accepted by first-level trigger Dedicated links Firstlevel trigger USA15 Event data 100 khz, 1600 fragments of ~ 1 kbyte each ATLAS detector UX15 UX15 CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 4

5 Pre-series system in ATLAS point-1 8 racks (10% of final dataflow, 2% of EF) 5.5 One ROS rack - TC rack + horiz. Cooling - 12 ROS 48 ROBINs RoIB rack - TC rack + horiz. cooling - 50% of RoIB underground : USA15 One Full L2 rack - TDAQ rack - 30 HLT PCs surface: SDX1 Partial Superv r rack - TDAQ rack - 3 HE PCs One Switch rack - TDAQ rack port GEth for L2+EB Partial EFIO rack - TDAQ rack - 10 HE PC (6 SFI - 2 SFO - 2 DFM) ROS, L2, EFIO and EF racks: one Local File Server, one or more Local Switches Machine Park: Dual Opteron and Xeon nodes, uniprocessor ROS nodes Operating System: Net booted and diskless nodes, running SLC3 Partial EF rack - TDAQ rack - 12 HLT PCs Partial ONLINE rack - TDAQ rack - 4 HLT PC (monitoring) 2 LE PC (control) 2 Central FileServers CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 5

6 Commissioning and exploitation Fully functional, small scale, version of the complete HLT/DAQ 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 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 CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 6

7 Pre-series tests at Point 1 Used integrated software release ( installation image ) with offline release , Event Format version 2.4, TDAQ release , HLT release First time e/γ- and μ-selections run in a combined menu with algorithms muon calorimeter inner detector E.g. Level-2 setup 8 ROS emulators with preloaded data Data with Level-1 simulation: di-jets (17 GeV), single e (25 GeV), single μ (100 GeV) Dataflow applications with instrumentation measure execution times, network access times and transferred data sizes Used recently up to 20 Level-2 processors each with up to 4 applications Throughput (Hz) LVL2 Decision Rate (Hz) 1-20 L2PU nodes with mufast at point 1 with Muon - 20K Muon events (1-4 L2PU applications/node) L2PU nodes LVL2 Farm Load Balancing CPU Index Factor 1.9 improvement respect to one application/node 1 l2pu/node 2 l2pus/node 3 l2pus/node 4 l2pus/node CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 7

8 Infrastruttura Event Filter Caratteristiche principali SW infrastruttura EF Completo disaccoppiamento tra data flow (EFD) e data processing (PTs) sicurezza trattamento dei dati Muon Calo Inner Massimo sfruttamento delle architetture SMP Design flessibile e completamente configurabile LVL1 Node n Input EFD SFI RoI LVL2 ROD ROD ROD ROB ROB ROB PT #1 PT #2 P T I O P T I O Sorting ExtPTs ExtPTs Trash P T I O P T I O PT #a PT #b Calibration Implementation EF SubFarm Event builder network SFI SFI SFI SFI Output Output Output example SFO [debug] SFO [std] SFO [calib] SFO SFO SFO SFO Storage: ~ 300 MB/s CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 8

9 EF tests Verifiche e studi sulla parte infrastrutturale Ottimizzazione del protocollo di comunicazione tra EF e SFI/SFO: miglioramento delle performance per eventi piccoli (calibrazione) e farm remote Aggiunta di funzionalità addizionali Integrazione e validazione degli algoritmi di selezione Algoritmi derivati dall'offline Ma condizioni operative diverse, es: adattamento delle job-option all'online concorrenza nell'accesso al DB Integrata e validata la muon slice Altre slice in corso di validazione Tested with timing: EF-only, 9 EFDs per 2 PTs, TrigMoore algo, 1 MySQL (CERN site) All 9 nodes connect to MySQL simultaneously all 18 PTs do not 1 but 3 connections to CDI (3x18=54 - fast scaling) 6.90±0.20 s geometry 0.10±0.03 s AMDCsimRecAthena 0.06±0.03 s magnetic field DB-caching was used CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 9

10 HLT Core Software Work plan defined for design review 2005 ( HLT compliant with trigger operation Steering and sequencing of algorithms Integration with most recent TDAQ software Cycling through TDAQ state machine (start/stop/reinitialize/ ) HLT trigger configuration from data base Use of conditions DB in HLT Integration with online services for error reporting and system monitoring Many of these issues have a direct impact on selection algorithms Functionality needs to be available early in core software to give time to algorithm developers. System performance optimization instrumentation for measurement of network transfer times, data volumes and ROS access patterns ( complementary to work in PESA group) For commissioning and readout tests Basic fault tolerance Stability CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 10

11 Software Installation Image TDAQ Common Setup / installation scripts Software repositories TDAQ Offline HLT Project builds Originally developed for Large Scale Test 2005 Contains a consistent set of all software in one file needed to run a standalone HLT setup Completely tested before deployment by PESA, HLT and DAQ specialists Used for first exploitation of pre-series Useful for outside CERN Example Partitions / Data Files installations and new test bed setups Test suites P1 installation procedure presently being worked out ~ 6.5 GByte software Future images snapshot of P1 installation CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 11

12 Trigger Configuration Data Base LVL1 + HLT as integrated system offline user shift crew expert TriggerTool: GUI for DB population menu changes for experts (HLT and LVL1) TriggerTool online running TriggerDB R/O interface offline running DB population scripts compilers Configuration System TriggerDB: stores all information to configure the trigger: LVL1 menu, HLT menu, HLT algorithm parameters, HLT release information Versions identified with key Configuration and Condition DB Retrieval of information for running: get information via a key, either as: XML/JobOption files direct DB read-out for both online + offline running amp;resid=7&materialid=slides&confid=048 CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 12

13 Global Monitoring Scheme OHP ROD ROS Event Builder Event Monitoring Service GNAM Detector Specific Plug-in Athena Detector Specific Athena Algorithm Athena Monitoring Event Displays Online Histogramming Service Gatherer Monitoring Data Storage Analysis Framework CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 13

14 GNAM Monitoring Principio: disaccoppiare e mascherare le azioni comuni dagli algoritmi di monitoring GNAM core: azioni comuni Dal dataflow sicronizzazione con la DAQ campionamento degli eventi decodifica della parte detector-ind pubblicazione e salvataggio degli histo gestione dei comandi (update, reset, rebin) tools per gli algoritmi (circular buffer, histogram flags, histogram metadata,...) Event Monitoring Service Eventi GNAM CORE USER LIB USER LIB USER LIB Algoritmi di monitoring (librerie dinamiche a run-time) decodifica detector-dependent booking e filling degli istogrammi gestione di comandi specifici Istogrammi Comandi On-line Histogramming Service Presenter Viewer Checker CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 14

15 Online Histogram Presenter (OHP) Interactive presenter developed in close connection to GNAM monitoring However used to display histograms published on the OHS by any producer Designed to be used both as expert mode: a browser of all the histograms on OHS shifter mode: an histogram presenter to show only predefined sets of histograms in configured tabs Completely interactive with the GNAM Core (rebin, reset, ) Completely redesigned, after the CTB experience, to minimize network traffic and to have a scalability appropriate for whole ATLAS A very useful collaboration with Computer Science students has been established. Browser part Commands to the Core : rebinning, reset... Preconfigured set of histograms in tabs CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 15

16 Monitoring: commissioning Sviluppato un sistema di monitoring/analisi/ validazione on-line dei rivelatori basato su GNAM produzione di istogrammi visualizzati con On-line Histogram Presenter (OHP) on-line event display (in collaborazione con Saclay) In uso al commissioning dal settembre 2005 In sviluppo reperire la configurazione dei rivelatori da DB controlli automatici e generazioni di allarmi Utilizzato da Tile e MDT, interesse espresso da altri CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 16

17 ROD Crate DAQ RCD usato come interafccia verso i RODs per Control, Configuration, Monitoring, Data readout (via VME) Gli sviluppi RCD hanno avuto sostanzialmente due fasi ReadoutApplication (ovvero l'applicazione che costituisce il ROD Crate DAQ, il ROS ed il Data Driven Event Builder) modificata in modo sostanziale per accomodare tutte le richieste dei rivelatori ed essere pronta con tutte le fuzionalità necessarie per il commissioning accesso standardizzato ad Information Service ed Online Histogramming possibilità di accesso ai dati in risposta agli interrupt semplificazione della costruzione delle classi per il controllo e l'acquisizione dei moduli definizione e realizzazione di un data driven event builder librerie per gestione standardizzata delle condizione di errore Supporto dei rivelatori per il commissioning Nuovo sviluppo necessario per garantire tramite una semplice interfaccia comune a RAL/CORAL che l'accesso al database di configurazione sia thread safe (fase di inizializzazione) CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 17

18 Attività RCD Parte specifica del detector del ROD Crate DAQ di MDT ed RPC Database database di cablaggio (molto lavoro!) database di configurazione Interfacce di online e monitoring con questi Detector Control System (DCS) Italiana tutta la parte di DCS degli RPC ed il controllo di HV e LV degli MDT Settore 13 Muoni Run combinati MDT-Tile triggerati da scintillatori Studi di sincronizzazione CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 18

19 MDT online calibration Required precision for t 0 and r-t autocalibration needs inclusive muon rates of KHz Not suitable for EF calibration streams Need different Event Building and streaming (under study) Already possible using LVL2 infrastructure with some modifications Thread Thread L2PU Thread Thread Thread L2PU Thread x 25 TCP/IP, UDP, etc. ~ 480 kb/s Local Server x ~20 Local Server Server ~ 9.6 MB/s Memory queue Dequeue Gatherer Calibration farm ~ 480 kb/s Calibration Server Local Server disk CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 19

20 SDX1 TDAQ P1 Total of 99 racks can be placed in SDX Lower Level: 49 (LVL2, EB, ) Upper Level: 50 (EF) CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 20

21 ROS Overview Event rate ~ 200 Hz SDX1 ~30 Local Storage SubFarm Outputs (SFOs) DataFlow Manager LVL2 Supervisor Regions Of Interest RoI Builder dual-cpu nodes ~1600 ~100 Event Filter (EF) Network switches Requested event data Event data requests Delete commands USA15 ~150 PCs Event Builder SubFarm Inputs (SFIs) ~ 500 LVL2 farm Network switches Read-Out Subsystems (ROSs) 10-Gigabit Ethernet pros Timing Trigger Control (TTC) 1600 Read- Out Links In total ~150 ROS PCs will have to be installed Each ROS PC will be equipped with 3 or 4 ROBIN cards and one 4-port G-bit Ethernet NIC Data of events accepted by first-level trigger VME Read- Out Drivers (RODs) Dedicated links Firstlevel trigger ROBIN ATLAS detector UX15 ROS PCs in USA15 CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 21

22 ROS PCs ROS Hardware Procurement 1 st batch (50 PCs) Ordered and received 2 nd batch (60 PCs) Ordered. Delivery scheduled for May Remaining ROS PCs + spares Will be ordered later ROBINs German production (350 cards) UK production (350 cards) Ordered and received (~20 cards did not pass the production test and still need to be repaired) Ordered. Delivery scheduled for March 4-port NICs Ordered. Delivery scheduled for May Silicom 4-port NIC CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 22

23 Current Status of ROS-Racks Racks in USA15 Liquid Argon Y A2 Y A2 Y A2 Y A2 Y A2 Y A2 TileCal Y A1 Control switch ROS PCs Installed Power & network cables Commissioned (ROS level) yes yes yes yes yes yes yes yes yes yes yes yes yes yes Commissioned (ROD - ROS) 50% no no no no no 50 % CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 23

24 Physics and Event Selection Architecture PESA Core SW is responsible for the implementation of the Steering and Control (built around standard Athena components) PESA Algorithms develops HLT software using realistic data access and handling specialized LVL2 and EventFilter algorithms adapted from on-line deployment in HLT testbeds PESA Validation and Performance evaluates algorithms on data samples to extract efficiency, rates, rejection factors, and physics coverage Stems from original structure, laid out in parallel with the organization of the Combined Performance working groups, in vertical slices" (LVL1+LVL2+EF) Electrons and photons Muons Jets / Taus / ETmiss b-jet tagging B-physics CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 24

25 HLT Reconstruction Algorithms HLT Feature extraction algorithms are available for each slice Calorimeter algorithms LVL2 and EF algorithms ready for e/γ τ implementation ready at LVL2 Offline tool adapted to the EF is ready for JetCone Muon algorithms LVL2 and EF algorithms are available for the barrel region; work has started on extending the LVL2 algorithm to the endcap ID to muon track matching tools are available at LVL2 and EF Muon isolation studies using calorimeters are being performed ID tracking Tracking with Si data ready at LVL2 and EF; more approaches studied in parallel Tools available for both track extension to the TRT and stand-alone TRT reconstruction; emphasis on providing a robust tool for commissioning and early running CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 25

26 Selections: : LVL2 μ Implemented curvature radius instead of sagitta More suitable for the endcap, recover efficiency in the barrel Same algorithm across ± 2.4 in η Resolution New LUTS for Radius Slightly worse than Turn-on curves Resolution is OK for Standard sectors comparable with Resolution is OK for Standard sectors Worse efficiency in the feet region (Special Sectors) Endcap extension in progress Combined reconstruction (μcomb) with ID Refine the μfast p T by means of ID data sharper 6 GeV threshold CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 26

27 LVL2 cosmics μ Y X-Y R 12 Z-R: bending plane BOS 5 Straight line extrapolation 0 from y=+98.3 m -5 MDT hits are station centers in X-Y BMS BML BIS MDT hits RPC hits (pair of phi,eta strips) Muon track from the surface X Z /castor/cern.ch/user/m/muonprod/cosmics/ cosmics.dig.atlas-dc3-02._0004.pool.root Monte Carlo! MDT,RPC hits are there and looks fine. Conversion of RDO to coordinates seems fine too. Next steps: MuFast modifications CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 27

28 Selections: : EF μ Studies on single muon selections have been performed for two scenarios: 6 GeV threshold at cm 2 s 1 luminosity and 20 GeV at cm 2 s 1. Cuts are defined so that a 95% efficiency is achieved at the threshold values. Sorgenti di muoni L=10 34 No backgr. L=10 34 s.f. x1 L=10 34 s.f. x5 π/k 54 Hz 54 Hz 48 Hz b 77 Hz 77 Hz 68 Hz c 30 Hz 30 Hz 26 Hz W 22 Hz 22 Hz 19 Hz t negligible negligible negligible Total ~185 Hz ~190 Hz ~180 Hz Total lower values of efficiency plateau less sharp curves near the thresholds more points are needed for a better curve definition Layout Q (barrel only) MuId Combined used at EF MuComb rate reduction still to be included at LVL2 Fake rates expected to be ~1% (~12%) of total rate for s.f.x1 (s.f. x5) with this threshold (seeded mode) CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 28

29 Selections: b-taggingb Two classes of tagging variables can be used: track variables (x T ) and collective (vertex) variables (x V ).The weight of each RoI is computed using the likelihoodratio method where S sig and S bkg are the probability densities for signal (b-jets) and background W T : transverse (d 0 /σ d0 ) and longitudinal (z 0 ) W V : secondary vertex energy and mass (statistical approach) Recent work to combine SimpleVertex (1-dim fit) and VKalVrt (offline algorithm adapted to LVL2) Impact parameters Impact parameters + probabilistic vertex Impact parameters + VKalVrt/SimpleVertex combined CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 29

30 Trigger-aware analysis Data taking Production Analysis Analyses using trigger information as a preprocessor to correctly evaluate efficiencies, physics reach, etc. The reconstructed objects, used by the trigger are saved in the ESD/AOD file They can be used for comparison with truth/reconstructed information It is possible to re-play the trigger decision, by running the hypothesis algorithms on these objects Only the settings of the hypothesis algorithms can be changed in the analysis The effect of different threshold settings can be measured CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 30

31 Trigger & Physics Weeks Aim: bring together trigger, detector performance and physics studies and expose trigger issues and strategy to a broad ATLAS audience Focus on initial scenario: cm -2 s -1, 200Hz CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 31

32 Electrons / Photons Muons Sketch some pre-scale HLT Crude estimates to guide the eye keeping total e/γ output rate constant Photons not yet worked out Assessment of both di-photon thresholds and high-pt single one to be revisited Photons useful to obtain unbiased jet sample Absent (or very low) cavern background makes LVL1 commissioning easier Full shielding, 75 ns bunch spacing Build menus allowing to Measure Xsec from (very)-low pt Can go as low as ~5 GeV Check W, Z, J/ψ, Y Study ways to increase trigger acceptance HLT Rate (Hz) Pre-scale factor e10i e15i 5 40 e20i e10i ~Hz 1 Rate (Hz) Pre-scale factor LVL1 μ HLT μ LVL1 μ LVL1 diμ 3 1 CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 32

33 Accounting Contributo INFN alla Pre-serie 140 KCHF (ROS Racks, Monitoring, Operations, Switches, FileServer) completamenti spesi entro il 2005 Per questo e per il resto VV riceve in copia tutte le fatture Contributo CORE Online Computing System: KCHF (Monitoring, Operations) Inviati al CERN 45 KCHF a Maggio 2005 Già acquistati quattro file server Read-Out System: KCHF (ROS Racks) Gara CERN espletata con un congruo ritardo per la prima tranche (50 ROS), la parte rimanente è in consegna (60 ROS a Maggio) Imputati all INFN per ora circa 200 KCHF (su Roma1) LVL2 processors, Event Building, Event Filter processors: KCHF In corso di perfezionamento le specifiche dettagliate (soprattutto per i processori HLT) Può darsi si possa utilizzare un marker survey fatto da CERN-IT Studi in corso anche per la valutazione delle ultime tecnologie (Moore s law failures ) Infrastruttura: 80 KCHF (cavi, racks, cooling, ) CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 33

34 Cost Profile (KCHF) Total Pre-series Detector R/O LVL2 Proc Event Builder Event Filter Online Infrastructure INFN Total TDR Total INFN Percentage(%) CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 34

35 INFN Milestones 30/06/2005 TDAQ - Installazione, test e uso della "Pre-serie" (~ 10% TDAQ slice) compiutamente raggiunta in Ottobre: ritardi accumulati soprattutto sugli acquisti delle componenti Proposta di indicare il 100% e modificare la matching date 24/12/2005 TDAQ - Installazione e test dei ROS di Pixel, LAr, Tile, Muon (interfacciamento al ROD Crate e integrazione nel DAQ) Forte dipendenza dalla data di consegna dei ROS (lentezza gara, etc) Nessun problema di principio, il programma di lavoro è chiaro, l esperienza della preserie è direttamente trasferibile Proposta di indicare 50% alla data prevista 30/04/2006 Completamento dei test sulla pre-serie e definizione delle funzionalità per il supporto al commissioning TDAQ 31/08/2006 Commissioning delle slice di ROS dei rivelatori utilizzando le funzionalità della preserie (modulo-0 del sistema finale) 31/12/2006 Presa dati integrata dei rivelatori nel pozzo con raggi cosmici CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 35

36 Conclusioni Il progetto TDAQ sta entrando in una fase di piena maturità Rendere disponibile ai rivelatori tutte le infrastrutture necessarie per i run di cosmici Preparare il commissioning completo del sistema in preparazione allo start-up di LHC I contributi italiani sono chiaramente visibili e ben riconosciuti a livello della Collaborazione Integrazione hardware, sviluppi algoritmici, posizioni di responsabilità, finanze Il tempo a disposizione per il commissioning TDAQ è molto compresso Fondamentale per poter assicurare il data flow necessario anche allo start-up CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 36

37 Goal of Early Commissioning Prepare for Unexpected Events CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 37

38 Spares

39 LVL2 tests Data File LVL2 Rate LVL2 Latency Processing Time RoI Col DAQ Time Data Rate Data Size #Reqs /Event Data /Req (Hz) (ms) (ms) (ms) Fraction (MB/s) bytes bytes mu jet e Fraction of events passing LVL2 as a function of the decision latency 1.2 Fraction of events Prefiltered mu jet e Latency (ms) CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 39

40 Example: Data Base Schema keys: stored in CondDB, to retrieve information (online and offline) LVL1 HLT Early prototype of HLT part already run on 6 node system with muon selection algorithm trigger menu algorithms, joboptions software release CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 40

41 Routing μ calibration data CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 41

42 Selections: e/γ Rate and efficiency studies performed for main physics triggers: e25i, 2e15i, e60, γ60, 2γ20i Results for perfectly in agreement with Rome results Tools have been developed to optimize the selections In the future, results will be provided as efficiency vs. rejection curves, to provide a continuous set of working points: essential for trigger bandwidth optimization Eff % Rate L KHz L2 Calo Hz L2 ID Hz L2 Match Hz EF Calo Hz EF ID Hz EF Match Hz Cluster composition W eν 21% Z ee 5% Direct photons or quark brem 5% e from b, c decays 37% rest 32% CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 42

43 Jets/Taus/ETmiss LVL2 calo algorithm for taus recently separated from egamma Ongoing performance studies for selection strategies on variables At present only EM calibration for cluster energies: need for a tau calibration (also for EF, H1 style as in the offline mode?) First implementation of EF seeded TrigtauRec is already working making use of offline tools Once the selection strategies are defined, physics trigger-aware analyses (studying the effect of the hadronic tau trigger) can be performed Three different strategies (concerning the data preparation) are being considered Read out calorimeter and unpack the cells (unpacking time may dominate) Read out calorimeter, get Ex/ Ey calculated in ROD (faster but resolution?) Read out TriggerTower from LVL1 Preprocessor Ongoing work to define and studies general strategy for pre-scales, in particular for jet objects CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 43

44 Jet triggers and prescales CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 44

45 RoI Based B-physicsB Aim: use the calorimeter to identify regions of the event containing B decay products EM RoI for e and gamma. Jet RoI for hadronic B-decays Keep multiplicity low, to minimize data transfer and cpu, whilst maximising efficiency for events used in physics studies multiplicity= 1-2 The effect of different thresholds (EM&HAD and the jet RoI size on this multiplicity was studied using Rome data (1x10 33 ) with the new TTL LVL1 simulation and pile up The requirement on multiplicity implies an ET threshold of ~ 2GeV for LVL1 EM RoI RoI multiplicity vs. energy threshold, B->muX events LVL1 EM RoI multiplicity vs. ET cut Mean ROI Multiplicity RoI Multiplicity defaults Towerthresh=500MeV (em=500. had=750. (default) em=750. Towerthresh=750MeV em=1000. Towerthresh=1000MeV EM ROI Energy Threshold(GeV) LVL1 Threshold Energy (GeV) CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 45

46 2006 PESA Milestones LVL1/HLT AODs fully available in Rel 12 for trigger-aware analyses Apr 06 Very preliminary AOD information available in Rel 11 Detailed description of Rel 12 deliverables prepared by Simon HLT algorithm reviews complete Jun 06 Detailed review of ID LVL2 algorithms already taken place Focus on system performance and implementation Results fed back into Rel 13 Online tests of selection slices with preloaded mixed files and large menus Sep 06 First production version of trigger configuration Selection software ready for cosmic run Oct 06 Blind test of HLT selection Dec 06 T&P Week T&P Week Already in PPT: need to refine meaning T&P Week In discussion with physics coordination Sample of representative events from initial ATLAS output & run full menu CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 46

47 PESA Planning Several interactions with PESA Slice coordinators and with Algorithms developers Try and bring together something to help reinforcing the content of proposed milestones and monitoring the development process Only gone through first iteration until now Try always to describe the work in a task oriented fashion, to help identifying weak areas as well as facilitate the job assignment Attempt to build a full PESA planning (Excel) starting from this information to monitor progress and allow for updates, suggestions, improvements PESA Planning Clearly more details on near-future objectives than on far-away ones Task Comments Expected PPT Workpackage LVL1 Trigger Definition of EDM Done? dec-05.. Slices e/gamma implementation in common framework RTT, ESD, Root Analysis Framework February 2006 DH-W101 Develop tools for automatic optimisations of e/gamma selections scanning of parameter space, minuit fitting there, neural net, multi-variant method being developed March 2006 DH-W101 Check trigger selection w.r.t offline selection for electrons/photons Need new evaluations from offline groups March 2006 DH-W101 Establish set of pre-scaled e-triggers using Rome datasets Photons as well February 2006 DH-W101 First evaluation of trigger efficiencies from data For electrons, photons and muons March 2006 DH-W101 Strategies for ETmiss calculations March 2006 Revised Steering Configuration DH-W110 Prototype LVL2 Hypothesis algorithm for all Examples to be further developed in validation February 2006 DH-W147 Provide documentation and examples to physics community For all selections March 2006 Milestone April 2006 LVL1/HLT AODs completely available in version 12 for trigger-aware analyses CSN1 Aprile 2006 Valerio Vercesi - INFN Pavia 47