Alexander Richards, UCL 1 Atlfast and RTT (plus DCube) Christmas Meeting 18/12/2007.
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Transcript of Alexander Richards, UCL 1 Atlfast and RTT (plus DCube) Christmas Meeting 18/12/2007.
Alexander Richards, UCL 1
Atlfast and RTT(plus DCube)
Christmas Meeting 18/12/2007
Alexander Richards, UCL 2
Atlfast
Fast Simulation Package
3Alexander Richards, UCL
ATLAS fast simulation It includes most crucial detector aspects: jets
reconstruction in the calorimeter, momentum/energy smearing for leptons and photons, magnetic fields effects and missing transverse energy
It provides, starting from the list of particles in the event, the list of reconstructed jets, isolated leptons and photons and expected missing transverse energy.
Optionally package provides a list of reconstructed charge tracks
What is Atlfast ?
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Smearing functions replace full chain
4-5 orders of magnitude faster than full simulation
What is Atlfast ?
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How does it perform? Full simulation + reconstruction takes ~½ hr per event. Atlfast test jobs in 12.0.3
104-105 x faster than full chain
2376 s307 sTotal (includes initialisation)
200 ms12.6 msPythia execute per event
21.8 ms8.15 msAtlfast execute per event
ttH(Hbb) (10k, Pythia)
Zee (10k, Pythia)
Sample
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Instructions on web www.hep.ucl.ac.uk/atlas/atlfast (static UCL page) AtlfastDocumentation (Atlas TWiki portal)
Easiest way is to Set up a release directory Set up run time environment (athena) 'get_files XXXXtoAtlfasttoYYYY.py'
XXXX is Pythia or POOL YYYY is CBNT, AOD and in r12 AAN
Configure script 'athena XXXXtoAtlfasttoYYYY.py'
How to run Atlfast?
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Some plots!
High Pt
Low Pt
QCD Jet Sample
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Towards "Atlfast Phase 2"
FastCaloSimParameterised showers in a full calorimeter
FatrasFast tracking via hit simulation
More "Atlas", less "Fast"
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Timing still prohibitive but getting better..... Project is at validation stage
Towards "Atlfast Phase 2"
M. Duehrssen
Alexander Richards, UCL 10
RTT
Run Time Tester
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What is ATLAS RTT?
“The ATLAS RTT is a tool for developers which provides them with a convenient way to test, on a nightly basis, both the status and the output that any changes to their code may have had.”
Does it run? Is the output the same as expected – regression tests/root macros
ATLAS RTT lets you automate:
● Running Athena (as well as non-Athena) jobs.● Running post-job activities i.e. ROOT macros, regression tests and user specified Python scripts.● Publishing all results to a (web served) user specified directory.
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How does it work?
Several NICOS builds occur each night –’Nightlies’ When Complete the build ready flag set and RTT can begin RTT scans all packages in the release for those which require
RTT tests RTT then proceeds in two steps: Firstly the Data Copier checks to make sure that any data
requested by the jobs is available and if not it copies it to the running directory
Secondly the RTT tests are begun and results updated in ‘near real-time’ to the results webpage.
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RTT Results http://atlas-project-rtt-results.web.cern.ch/atlas-project-rtt-
results/weeklyTable/weekly.php
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RTT Results
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RTT Results
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Including RTT jobs
For RTT to pick up that your package requires RTT tests you must add lines to your requirements file.
RTT steered by an .xml configuration file, which must be store it in a subdirectory of your package called ‘test’.
.xml file may be validated on the RTT main page: http://www.hep.ucl.ac.uk/atlas/AtlasTesting/
Every job must belong to a ‘jobgroup’, the name of which must be registered with one of the RTT developers.
Jobs belonging to a job group are treated the same way by the RTT with respect to any post Athena actions/tests.
As many jobgroups as required may be registered to your package.
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Example configuration file
Alexander Richards, UCL 18
DCube
Histogram Comparison
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What is DCube?
DCube is a histogram comparison package. Can be run interactively or as part of RTT Capable of comparing 1D and 2D histos with:
Kolmogorov-Smirnov test test Bin-by-bin comparison
Results generated in user friendly web format
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How does it work?
DCube is steered by .xml configuration file. Config file picked up and run in RTT by a post athena
macro called DCubeRunner .xml file specifies the following:
Absolute location of a reference ROOT file Name of the file to compare with this reference file, called the
Monitored file Which of the three types of tests to perform The P-values to mark ‘warning’ and ‘failure’ threshold for stats
tests Both reference and monitored files may contain multiple
histos each of which may have any of the three tests performed on it
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DCube Results
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DCube Results
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DCube Results
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DCube Results
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Summary
With RTT we have the ability to test the stability of code on a nightly basis.
With the addition of DCube we can now check the ‘stability of our physics’ on a nightly basis
Future plans include creating physics validation plots for both GeneratorsRTT and TestAtlfast packages.
26Alexander Richards, UCL