1. LHCb Data Quality Check http://lhcb-comp. web. cern

2. Procedures and Tools for
Miriam Gandelman, IF-UFRJ
Eric van Herwijnen, CERN

3. Monte Carlo Production

4. Distributed Infrastructure with Remote Agent Control
DIRAC
Distributed Infrastructure with Remote Agent Control
Distributed MC production system
Production task definition
Software installation
Job scheduling and monitoring
Data Quality checking (with versioning)
Automates tasks for local production managers
Implemented with software agents

5. MC production architecture
Data Quality service
Bookkeeping service
Production service
Bookkeeping data
Data Quality info
Get jobs
Agent
CERN
Agent
Etc…
RIO UFRJ
Lyon

6. Data challenge 1
(59 days during feb – may 2003)
Distributed system
Data to be checked in different places
More than 3 Tbytes produced

7. Python tools Python tools
Checked
log files
Checked
log files
Checked
log files
Checked
log files
Python tools
Production log file
(to be checked)
Reference tables
Rich:
Velo
Forward
Seed
Match
Upstream
Velott
Final
Number of Events Processed:
Number of Ks Selected:
Number of Ks per event: 0.924
VeloMonitor INFO Number of VeloClusters / Event
VeloMonitor INFO
TrAnalyse INFO Type Ghosts Bad Chi2
TrAnalyse INFO MC
TrAnalyse INFO Velo % %
TrAnalyse INFO
TrAnalyse INFO Forward % %
TrAnalyse INFO Seed % %
TrAnalyse INFO Match % %
TrAnalyse INFO Upstream % %
TrAnalyse INFO Unique Fwd % %
Trigger:
Velo
Forward
Seed
Match
Upstream
Velott
Final
Number of Events Processed:
Number of Ks Selected:
Number of Ks per event: 0.924
Tracking:
Velo
Forward
Seed
Match
Upstream
Velott
Final
Number of Events Processed:
Number of Ks Selected:
Number of Ks per event: 0.924
Python tools

9. Production checks:
of digitization (Boole) and reconstruction (Brunel) programs
identified quality quantities (efficiencies, occupancies)
results printed on web page (3 sigma deviations in red)
for local managers to check locally produced data
for software managers to do basic checks of new versions
for physicists in case problems are found during analysis
negative results of tests could give an alarm
first tests done in production

10. Hbooks of
Checked data
Python, C++
New Hbook file
To be checked
ROOT reference file
Reference
Web
pages
Python, C++

12. Detailed check of new versions of programs:
of generation (SICBMC), digitization (Boole)
and reconstruction (Brunel) programs
check e.g. multiplicities, efficiencies, particle identification
use Kolmogorov test to compare (1=good, 0=bad)
works (wait for something better) for 1d histograms
Geant 4 team developing new tools, will use them when available
first (minimal) set of histograms in production
need more experience with these comparisons