atlas hlt/daq
DESCRIPTION
CSN1 Trieste Settembre 2006. ATLAS HLT/DAQ. V. Vercesi for the ATLAS Italia HLT/DAQ Group. 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 - PowerPoint PPT PresentationTRANSCRIPT
ATLAS HLT/DAQ ATLAS HLT/DAQ
V. Vercesi for the ATLAS Italia HLT/DAQ GroupV. Vercesi for the ATLAS Italia HLT/DAQ Group
CSN1 Trieste Settembre 2006CSN1 Trieste Settembre 2006
CSN1 Trieste Settembre 2006 V. Vercesi - INFN Pavia 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) HLT/DAQ system commissioning and exploitation (Everybody)
CSN1 Trieste Settembre 2006 V. Vercesi - INFN Pavia 3
ATLAS TDAQATLAS TDAQ
Dual(quad)-CPU nodes
SDX1
USA15
UX15
ATLASdetector
Read-Out
Drivers(RODs) First-
leveltrigger
Read-OutSubsystems
(ROSs)
UX15
USA15
Dedicated links
Timing Trigger Control (TTC)
1600Read-OutLinks
Gig
abit
Eth
erne
t
RoIBuilder
Reg
ions
Of
Inte
rest
VME~150PCs
Data of events acceptedby first-level trigger
Eve
nt d
ata
requ
ests
Del
ete
com
man
ds
Req
uest
ed e
vent
dat
a
Event data pushed @ ≤ 100 kHz, 1600 fragments of ~ 1 kByte each
LVL2Super-visor
DataFlowManager
EventFilter(EF)
pROS
~ 500 ~1600
stores LVL2output
~100 ~30
Network switches
Event data pulled:partial events @ ≤ 100 kHz, full events @ ~ 3 kHz
Event rate ~ 200 HzData
storage
LocalStorage
SubFarmOutputs
(SFOs)
LVL2 farm
Network switches
EventBuilder
SubFarmInputs
(SFIs)
Second-leveltrigger
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Efficienza dell’algoritmo di selezione è > 99%
Tutte le inefficienze sono dovute a zone dello spettrometro non coperte da RPC. In particolare: Settori speciali (Feet), ascensore, crack =0 e supporti del magnete.
Efficienza dell’algoritmo di selezione è > 99%
Tutte le inefficienze sono dovute a zone dello spettrometro non coperte da RPC. In particolare: Settori speciali (Feet), ascensore, crack =0 e supporti del magnete.
No RPC hitNo TriggerLow-Pt Trigger
DC3 data
DC2 data
Muon sources6 GeV6 GeV threshold
Lumi=1033
20 GeV20 GeV threshold
Lumi=1034
/K 9300 1090
b 1620 700
c 943 300
W 3 27
t Negligible Negligible
Low-pT 6 GeV Threshold
Efficienza globale Level-1 nel Barrel: Efficienza globale Level-1 nel Barrel: 83% Low-pT Trigger 79% High-pT Trigger83% Low-pT Trigger 79% High-pT Trigger
Level-1 Muon Trigger SystemLevel-1 Muon Trigger System
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One Switch
rack-
TDAQ rack-
128-port GEth for L2+EB
One ROS rack
-
TC rack+ horiz. Cooling
-
12 ROS48 ROBINs
One Full L2
rack-
TDAQ rack-
30 HLT PCs
PartialSuperv’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
surface: SDX1underground : USA15
Pre-series system in ATLAS point-1Pre-series system in ATLAS point-18 racks (10% of final dataflow, 2% of 8 racks (10% of final dataflow, 2% of EF)EF)
•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
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Event BuildingEvent Building
Parameterizing observed EB measurements,we better understand the conditions for stable& performant operations
TS = number ofrequests fromSFI nodes forevent fragments
WT = number ofevents processedin parallel by L2 farm
= L2 accept ratio
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Pre-series studiesPre-series studies
L2 perf. scalability with muon algo
0
5
10
15
20
25
30
0 10 20 30 40 50
# L2PU nodes
thro
ughp
ut, k
Hz
1 L2SV, 1app/node
1 L2SV, 3apps/node
2 L2SVs, 1app/node
2 L2SVs, 3apps/node
Fraction of events processed by LVL2 as a function of the decision latency
0
0,2
0,4
0,6
0,8
1
1,2
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29
Latency (ms)
Fra
cti
on
of
ev
en
ts
mu
jet
e
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ROD Crate DAQROD Crate DAQ Last major upgrades
To accommodate detectors’ requests New API for operational monitoring
To get “coherent” operation information Simultaneous module readout in a crate
RCD creates a packet of info and sends it to Monitoring A monitoring task analyses the packet
Further improvements in last TDAQ version OKS schema for RCD and ROS simplified Detector modules in a crate can be managed
Serially or in multi-threaded mode Each state transition can be set as multi-threaded
Can dramatically improve initialization time
RCD plans The RCD structure should be stable enough
All the main requests from detectors have been fulfilled We continue supporting the implementations
Main task is now RCD commissioning Goes on with ROD commissioning Includes support to all detectors
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Monitoring Framework Monitoring Framework
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MonitoringMonitoring
Reliable and stable GNAM CORE Configurable from on-line database, with histogram history Logging system (to migrate to ERS) Access Manager to ATLAS conditions DB
Detector libraries MDT, RPC, Tile, CSC, (TGC): in use for commissioning Interface to Event Display available (for some detectors)
Main issue: Smart Monitoring Automatically catch most low-level problems Needed for reaching and maintaining stable running conditions Common tools needed
Histogram comparison toolkit Error message routing and filtering
Detector experts Identify most common problem sources Implement and test alarm strategies
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HLT Selection algorithmsHLT Selection algorithms
Lots of ongoing activities on algorithm development side LVL1 and LVL2 algorithms run in 11.0.6 CSC production for all trigger
slices EF algorithms almost finished (target 12.0.3, next week) Lots of ongoing work to improve/test/validate algorithms PESA algorithms being reviewed (Project Milestone)
ID LVL2, ID EF, Calo LVL2 e/g reviews have already taken place Muon LVL2+EF ~90% complete, Calo EF e/ in October Calo jet/tau/etmiss simple extension of e/ Building up comprehensive information about performance
Ongoing work for testing in athenaMT/athenaPT Measurements of system (timing) and physics performance LVL1/HLT AODs fully available in Rel 12 for trigger-aware
analyses (Project Milestone) Most data in place for ESD & AOD in release 11.0.5, Apr 06 More hypothesis algorithms, slice configs and TriggerDecision in 12.0.1
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HLT SteeringHLT Steering
Il cuore delle sequenze di selezione e decisione Sviluppi basati sull’attuale implementazione (12.0.2)
Introduzione di selezioni topologiche elementari Primi test attualmente in sviluppo nel settore della B-fisica (B→, J/Psi→,
BS→DSconDS→) Introduzione di meccanismi per la sincronizzazione delle sequenze di
algoritmi Selezioni combinate di diversi oggetti (ad es. singolo e, singolo jet, singolo ) Sincronizzazione delle selezioni topologiche
Iterazione del design di implementazione Ridisegno dell’implementazione dello Steering
Nuove interfacce, più generali e flessibili, per gli algoritmi di feature extraction e hypothesis testing
Ristrutturazione della navigazione, disaccoppiata dallo Steering, per essere facilmente utilizzata nelle analisi Offline
Interfacciamento con l’introduzione del concetto di Trigger Chain Fase di disegno quasi ultimata: inizio dell’attività di sviluppo e test
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HHighighLLighighT e/gammaT e/gamma
Electrons Eff. w.r.t truth for ET=25GeV e±
Time per track in top events (~1.3 tracks/RoI with pTmin=0.5GeV)
Brem recovery to be optimized: in progress…
Optimizations ongoing also for eff/rej
Photons Use only calorimeter information at L2 and EF Use CSC data, single photons ET = 20, 60 GeV,
filtered QCD di-jets with ET(hard) > 17 GeV
97%
98%
Algorithm KalmanFitter GSFTime/track 9.5 ms 1.24 s
Eff %
20i
Rate
220i
Eff %
60
Rate
60
L1 98.1 330 Hz 97.9 180 Hz
L2 Calo 92.7 6 Hz 94.4 49 Hz
EF Calo 85.3 4 Hz 84.3 42 Hz
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Efficiencies for SM signalsEfficiencies for SM signals
trigger
2e15i 67.2% ---
e25i 92.9% 79.6%
e60 20.4% 6.9%
all 94.8% 80.3%
Z ee W e
Efficiencies given after kinematical cuts:• 2e in ||<2.5 with ET>15 GeV for Zee• 1e in ||<2.5 with ET>25 GeV for We
Use trigger optimisations giving 80% overall eff (outside crack) for 2e15i, e25i, e60.Use trigger optimisations giving 80% overall eff (outside crack) for 2e15i, e25i, e60.
e25ie25i
• efficiency stays flat after turn-on.efficiency stays flat after turn-on.• Turn on curves similar for e60.Turn on curves similar for e60.
# after L1+L2+EF# after L1+L2+EF# after kinematical cuts# after kinematical cuts
effeff
Method for single-electron trigger efficiency determination from data in Method for single-electron trigger efficiency determination from data in progress ( progress ( , ), )Z ee Z
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Trigger efficiency from Z → μTrigger efficiency from Z → μ++μμ--
Double Object (DO) method Control sample: “Good” Z from 2
offline +- with loose selection cuts + 1± trigger signature satisfied
Trigger efficiency determined from counting in how many cases the second ± satisfies the trigger requirements
EF TrigMoore (MuonSpectrometer standalone)
EF TrigMoore (MuonSpectrometer + InnerDetector)
Reco MCεEF (%) 96.4 ± 0.2
εL1+EF (%) 79.9 ± 0.3 83.2 ± 0.2
Reco MCεEF (%) 94.5 ± 0.2
εL1+EF (%) 78.3 ± 0.3 80.2 ± 0.2
For (µ20)>70% statistical uncertainty after 30min at L=1033cm-2s-1: ~1-2%
Ongoing study using complementary method of orthogonal signature from ID (DOS method), almost finished
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HHighighLLighighT muonsT muons Barrel:
Final update of the LUT available: optimized with respect to the momentum resolution and to the efficiency
Hypothesis exists and the PT cut is optimized for the 6 GeV threshold
Endcap: Bugs found in the TGC reconstruction
code and in the analysis programs Situation improved: harsh zones still
remains, but results are understood now Only TGC data has been used: try to
measure muon PTand to parameterize the track path
An offline study of the momentum resolution obtained fom MDT data is also under way: preliminary results are in agreement with those we got using only TGC data.
Large dishomogenity
Endcap stations outside magnetic field
Innermost TGC wheelshave reduced coveragein small sectors
EndCap
6 GeV 20 GeV
Endcap: 1.05 <ll <2.4
CSC data
prelim.
pT (GeV)
effic
ienc
y
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HHighighLLighighT Jet/Tau/ETmissT Jet/Tau/ETmiss
Very active trigger slices, just one year ago only small part of the selections were available (new groups joining TDAQ)
Jets Algorithms for LVL1/LVL2/EF reco
and hypothesis in place Lots of work carried out to allow
trigger-aware analysis Ongoing work to understand
physics performance
Tau Algorithms for LVL1/LVL2/EF reco and hypothesis in place Use tauRec at EF, support for other tau reco packages foreseen Ongoing work to find best sequence at LVL2: first calo reconstruction or first
tracking reconstruction L2 selection ran successfully in athenaMT in 11.0.6
ETmiss Study performance of ETmiss at LVL1 and EF
CSN1 Trieste Settembre 2006 V. Vercesi - INFN Pavia 18
Prescale JetsPrescale Jets
First place where to study and implement pre-scales
Reconstructed Jet ET
distribution for a combination of J1 to J8 samples, scaled according to their respective cross-section
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Algorithms in Pre-SerieAlgorithms in Pre-Serie Motivation
Get the trigger PESA algorithms working online Make sure the latest offline developments get running online
Historical background Tools allowing the emulation of online running were developed
athenaMT (LVL2) and athenaPT (EF) A group of people was formed in order to provide full slice job options suitable for
online running Jets (Ignacio Aracena) Taus (Pilar Casado, Richard Soluk) Egamma (Xin Wu, Imma Riu) Muons (Alessandro Di Mattia, Diana Scannicchio)
One single integrated job options built successfully able to run in the Pre-Serie L2 and EF farms from real data format (bytestream)
Try this integrated job options in an online partition with different input files Single electrons, Top events, Muon events Produce a unified input BS file to be tested online
Produce a BS output file from SFO and try extending the menu to other signatures (e.g. di-objects) using the same algorithms slices to see the trigger behaviour
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RunningRunning
L2 partition running ONLINE
single electrons withthe integrated job optionsin the nightlies of 11.0.6
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More runningMore running
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DatabasesDatabases
OnlineOracleDB
Offlinemaster
CondDB
Tier-0reconreplica
Diagnosticsreplica
Tier-1replica
Tier-1replica
OnlineDetectorsHLT farm
Diagnostics
Tier-0 farm
Bypass(ATCN /CERN-IT)
ATLAS Point1CERN Computer centre
Remote sites
Isolation / cut
Calibration Updatesincluding special Muons calibration path
ATCN Network
OKSin-memory
OODB
COOLRelDB
CORAL*
DCS
AthenaServer
Data: in the DB, plus in (large) files
referenced from the DB
RDB systems used: Oracle, MySQL, sqlite
*layer to decouple clients
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Trigger ConfigurationTrigger Configuration TriggerTool
GUI for DB population easy and consistent menu changes for
experts (LVL1 and HLT) TriggerDB
stores all information to configure the trigger: LVL1 menu, HLT menu, HLT algorithm parameters (JO), HLT release information
stores all versions used, with a key Configuration and Conditions DB DB available at Point 1 and replicated
to external sites
Retrieval of information for running get information by key via two paths extraction of data in XML/JO files direct read-out
for both online + offline running
TriggerDB
onlinerunning
offlinerunning
shift crewoffline user expert
TriggerTool DB population scripts
Data Flow:
R/O interface ConfigurationSystem
compilers
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Example database for TrigConfExample database for TrigConf
LVL1 HLT jobOptions
HLT
menu HLT
release
keys: stored in Conditions DB => Trigger conditions precisely known
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HLT Large Scale TestsHLT Large Scale Tests Test complete HLT on many nodes
Scalability of DAQ, DB, HLT sw Emphasis on DB, HLT (no LVL1) DAQ: verify scalability & stability DataBase:
Explore caching tools (DBProxy) Detector oriented tests
1000 to 1200 nodes LST 2005: 600 (512 used for LVL2)
Will be provided by IT (agreed) with lxbatch etc. machines Non-optimized network
Big enough for full size Level2, ¼ size Event Filter Test Level-2 and Event Filter together (+EB and SFO)
As many trigger algorithms as possible Large number of events, recycled Collect monitoring info
Physics plots (produced by algorithms) Detailed timing histograms, etc.
Need to have SHIFTS!
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LVL2 ID in cosmicsLVL2 ID in cosmics
Tracking algorithms IdScan, modified to handle
single tracks with large impact parameters
SiTrack, version with special LUT tuned for muons not coming from IP
Variables studied For T2Id, Offline and MC:
Ntracks, d0, phi0, z0, eta0 Efficiency calculations
Data: LVL2 wrt Offline Simulation: LVL2 and
Offline wrt truthCosmics at SR1:instrumented
region,two SCT sectors
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Trigger-aware analysisTrigger-aware analysis Analyses using trigger
information as a “pre-processor” 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
Production AnalysisData taking
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Trigger & Physics WeeksTrigger & Physics Weeks Follow up on TDAQ and Computing operation
e.g. where are the bottlenecks on (instantaneous and average) rates? Updates on trigger slices and initial feedback on Trigger Aware Analyses in
Release 12 Work towards ultimate offline efficiencies and rejections, to be compared to
corresponding figures for trigger selections Especially relevant for Combined Performance e, t, m, b-tag
Follow up on minimum-bias event selection and analysis Follow up on menu for L = 1 × 1031 cm-2s-1 (items and rates)
Small group formed to study the issue and propose a strategy Ideas shown need to be developed into menus for commissioning and for early
physics (optimisation for two purposes somewhat different) Follow up on physics with b-jets
Efficiency to identify the jets for tagging in LVL2 in various physics scenarios - e.g. rates and RoI multiplicities
“Hot topics” End-cap LVL2 muons Forward-jet trigger ETmiss rates (including beam backgrounds)
Next week end of October
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Planning…Planning…
Schedula in revisione alla luce delle nuove informazioni su LHC:
discussioni durante la TDAQ Week di Settembre:
cioè adesso, in perfetta sovrapposizione con la nostra CSN1
(Ho il volo per Londra domani mattina)
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ROS planROS plan
Prima tranche dei ROS già pagata al CERN (275 KCHF) Seconda tranche e resto delle network card ordinata e consegna ultimata di
recente, pagamento previsto entro la fine dell’anno (275 KCHF) Questo esaurisce il nostro contributo CORE al Read-Out System
Impegno importante previsto in ME per contributi all’installazione e commissioning dell’intero sistema Sezioni coinvolte Pavia, Roma1, …
CSN1 Trieste Settembre 2006 V. Vercesi - INFN Pavia 31
Data Collection planData Collection plan
Other DataFlow PCs Price enquiry finished for SFI, DFM, L2SV and pROS Evaluations nearly complete
Choose which company(ies) to buy from SFOs - specification to be finalised in ~1 month
2007 CORE expected from Italy: 50 KCHF Try and setup system capable of deliverying steady-state nominal SFO output from day 1
Better position to exploit early running trigger and detector studies No correlation with total resources available in HLT farms
e.g. send LVL1 output directly to off-line
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Networks and Online planNetworks and Online plan
Switch Procurements (Chassis + Pizza Boxes) Plan finalised, shopping list produced for 2006 Sharing between FA’s agreed
File servers and Monitoring PC specs finalised 135 KHCF su CORE 2006, inclusi monitoring PC e local file server: end of contributions
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Infrastructure planInfrastructure plan
SDX Infrastructure Orders started - cable ladders, nuts & bolts, shelves for switches About to decide on power distribution
Coolers for SDX Order placed for 43 racks (all of upper level)
2007 CORE expected from Italy: 80 KCHF
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HLT farms planHLT farms plan
HLT Processors IT Market Survey completed Specifications has been drafted: similar (but not identical) to ATLAS needs Not possible to use a blanket contract for 2006: buy our own
Lively discussion about spending profile for this items First iteration ended Saturday September 16th @ 3:44 (Big Ben time) Propose today our best approach based on
Need to cover basic needs for commissioning, calibrations, first run period Avoid buying anything that is not absolutely necessary 95 KCHF back to CSN1 in 2006
Other HLT/DAQ Items First bills are appearing here - Rack coolers, inter-rack fibres, etc
TDAQResource Committee
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Revised Cost Profile (KCHF)Revised Cost Profile (KCHF)
2004 2005 2006 2007 2008 2009 Total
Pre-series 140 0 0 0 0 0 140
Detector R/O 0 275 275 0 0 0 550
LVL2 Proc 0 0 30 95 365 160 650
Event Builder 0 0 50 50 110 70 280
Event Filter 0 0 110 140 670 380 1300
Online 0 45 135 0 0 0 180
Infrastructure 0 0 80 80 20 20 200
INFN Total 140 320 680 365 1165 630 3300
TDR Total 1048 3357 4087 4544 7522 4543 25101
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Richieste ME (DAQ/HLT)Richieste ME (DAQ/HLT)
Per le responsabilità vedi la prima trasparenza Installazione e commissioning ROS e HLT
4 mesi uomo a Roma1 2 mesi uomo a Pavia
Commissioning DAQ muoni/pixel 4 mesi uomo a Roma1 (incluso ROD Crate DAQ) 2 mesi uomo a Pavia (incluso sviluppo Monitoring) 9 mesi uomo a Genova (incluso HLT steering)
Event Building, SFI e SFO 8 mesi uomo a LNF (inclusi Large Scale Tests)
Deployment degli algoritmi di selezione on-line 2 mesi uomo a Pavia
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ConclusioniConclusioni Stato attuale del progetto HLT/DAQ ben allineato con le scadenze future di
ATLAS e di LHC previste nel 2007 Il progetto è certamente complesso e anche le responsabilità e i finanziamenti
italiani coprono diversi settori Il sistema di HLT/DAQ ha legami profondi con tutte le altre aree di sviluppo:
rivelatori, software online e offline, networking, performance di fisica, etc Sono necessari maggiori contributi alla forza lavoro per la parte di installazione e
test Impegno fondamentale di consentire a tutti i rivelatori una fase efficiente di
commissioning Inserimento degli algoritmi nei test di cosmici Realizzazione di catene complete di read-out e successivamente di Event Building Le slice HLT hanno raggiunto uno stadio di maturità avazata, sono integrate
nell’ambiente on-line e costituiscono gli ingredienti per la costruzione e lo studio dei Menu di Trigger
Il Progetto è in fase di revisione (management) Necessità di adatttarsi alla nuova fase dell’esperimento Coerenza con l’ATLAS Operational Model Impegno perché gli italiani mantengano i ruoli di visibilità che si sono meritati