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30 Jan 2009

Introduction to TAGs. Elizabeth Gallas Oxford. ATLAS-UK. Distributed Computing Tutorial 29-30 January 2009. 30 Jan 2009. Elizabeth Gallas. 1. Outline.  Introduction:  ATLAS TAGs in the ATLAS Computing model  TAG Contents  TAG Formats

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30 Jan 2009

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  1. Introduction to TAGs Elizabeth Gallas Oxford ATLAS-UK Distributed Computing Tutorial 29-30 January 2009 30 Jan 2009 Elizabeth Gallas 1

  2. Outline  Introduction:  ATLAS TAGs in the ATLAS Computing model  TAG Contents  TAG Formats  ELSSI – Event Level Selection Service Interface  A Web based interface to ATLAS event selection  Hands on tutorial  Selecting events of interest, refining selection criteria  Extracting that selection  Using selection as input to Athena analysis  Important TAG related hyperlinks 30 Jan 2009 Elizabeth Gallas 2

  3. The TAG Development Group • Argonne: David Malon, Jack Cranshaw, Qizhi Zhang, Peter van Gemmeren • Glasgow: MikeKenyon, HelenMcGlone, TomDoherty • CERN: Florbela Viegas, Trivan Pal • Oxford: Elizabeth Gallas • Chicago: Marco Mambelli • Grenoble: Solveig Albrand • Orsay LAL: Julius Hrivnac • Sheffield: Tulay Donszelmann (PAT) Thanks to everyone above and to all users with feedback ! 30 Jan 2009 Elizabeth Gallas 3

  4. What’s a “TAG” (in this talk)  ATLAS “TAG” overload:  Not an acronym (retrospectively TAGs Are Great !)  Not a CVS tag or a release tag or a project tag  Not tracked by the ATLAS Tag Collector  Not a COOL (Conditions Database) Tag  Not a configTag  Not a B, flavor, or muon tag  In this talk: ATLAS TAG application is  A system supporting Event-level metadata  About 200 indexed variables for each event  Stored in a ‘database’ (Oracle or file based)  1 kB/event -> 1 TB/year  PURPOSE: Facilitates event selection for analysis 30 Jan 2009 Elizabeth Gallas 4

  5. ATLAS TAGs in the ATLAS Computing model  Stages of ATLAS reconstruction  RAW data file  ESD (Event Summary Data) ~ 500 kB/event  AOD (Analysis Object Data) ~ 100 kB/event  TAG (not an acronym) ~ 1 kB/event  TAGs  Produced in reconstruction  Can be re-produced in re-processing  Customized TAGs can be defined/produced  TAG formats:  File based:  AthenaAwareNtuple format (AANT)  Database:  available globally through network connection  Used by the TAG Browser (ELSSI) 30 Jan 2009 Elizabeth Gallas 5

  6. TAG related hyperlinks: TWiki with TAG content in ATLAS release:  https://twiki.cern.ch/twiki/bin/view/AtlasProtected/ TagForEventSelection TWiki for Tutorial:  https://twiki.cern.ch/twiki/bin/view/Atlas/EventTag Tutorials  4 Tutorial Components  ELSSI (Browser based)  File-based TAGs (Command line based)  JiveXML with TAGs (Atlantis Event Display)  TAG based selection with PAthena on the Grid ELSSI - Event Level Selection Service Interface:  https://voatlas18.cern.ch/tagservices/index.htm 30 Jan 2009 Elizabeth Gallas 6

  7. “TAG content”: Your selection variables PAT (Physics Analysis Tools) group  supports ‘official’ TAG content based on input from physics groups  (YOU !) ‘TAG Database’ Application includes  ~200 variables/event:  Event identification (run, event, lumi block numbers, timestamp, …)  Global quantities (e.g., missing eT)  Trigger decisions at all three levels (now bit encoded)  Numbers of electrons, muons, photons, taus, and jets  pT, eta, phi for highest-pT objects  Detector status and quality words  Physics and performance group status words  ‘Run Metadata’ at Temporal, Fill, Run, Lumi-block levels  references to AOD,ESD,RAW for back-navigation  A variety of supporting tools and infrastructure ELSSI is a web based supporting tool  Helps you navigate through “TAG content“  Uses other supporting tools and infrastructure  Retrieve results in a number of forms    30 Jan 2009 Elizabeth Gallas 7

  8. ELSSI: TAG Browser Basics  An interface to the TAG Database  Supported browsers: Firefox, Safari (not IE)  Requires Grid Certificate  Allows pre-selection of events for analysis, guiding the user through the selection process User Input Stream Quality Trigger Physics Temporal COUNT events SELECT attributes RETRIEVE events 30 Jan 2009 Elizabeth Gallas 8

  9. ELSSI: Implementation & Features  Running on server at CERN  PHP and Javascript on backend  Features:  Formulate multi-dimensional queries  At Run/LB and Event level  Query caching  Event counting  Display Results (graphical and tabular form)  Retrieve events in ROOT file  Register collection in AMI 30 Jan 2009 Elizabeth Gallas 9

  10. https://voatlas18.cern.ch/tagservices/index.htm ELSSI Gateway Choose FDR2C link 30 Jan 2009 Elizabeth Gallas 10

  11. Summary  Metadata in a database is a powerful tool  A great variety of dynamic selection criteria and reporting become possible  Development is ongoing to improve  Interfaces  Functionality  Usability  Integrate infrastructure tools  For comments/suggestions: ATLAS Physics Metadata Hypernews 30 Jan 2009 Elizabeth Gallas 11

  12. Backup Slides 30 Jan 2009 Elizabeth Gallas 12

  13. Browser front page for FDR2 – ‘Temporal Tab’ 30 Jan 2009 Elizabeth Gallas 13

  14. Browser – ‘Stream Tab’ 30 Jan 2009 Elizabeth Gallas 14

  15. Browser – ‘ Trigger Tab’ 30 Jan 2009 Elizabeth Gallas 15

  16. ‘Physics Attributes Tab’ 30 Jan 2009 Elizabeth Gallas 16

  17. ‘Review Query tab’ 30 Jan 2009 Elizabeth Gallas 17

  18. ‘Perform Query’: Count tab Count events meeting criteria … revise criteria… count again… revise criteria … 30 Jan 2009 Elizabeth Gallas 18

  19. ‘Perform Query’: Display Results tab  Get an idea of the attribute distributions  Draw histograms – new functionality from Julius (still in development) 30 Jan 2009 Elizabeth Gallas 19

  20. Retrieve Events  After refining query, generate a ROOT TAG file with selected events 30 Jan 2009 Elizabeth Gallas 20

  21. Left Frame: about your Session(s)  Save/Share Session(s)  Can now save a query session for later use  Uses cookies  Browser specific  Share saved sessions with others  Selection Summary  Displays selection criteria of your session 30 Jan 2009 Elizabeth Gallas 21

  22. Working on … (1)  Incorporating Detector Status (DQ)  Loading online Runs  Even in the absence of TAG production  An ELSSI “skim” button (Skimming Service) using GangaTNT:  From your selected TAG events, generate an AOD dataset with only those events  Output registered as new dataset  Runs GANGA on the server to run the job on behalf of the user  User proxy is delegated to the server  Monitoring loop checks job status and notifies user of job completion / failure  Integrate GangaTNT into GangaGUI. 30 Jan 2009 Elizabeth Gallas 22

  23. Ganga TNT 30 Jan 2009 Elizabeth Gallas 23

  24. Working on … (2)  Using TAGs with PAthena: Steps  create an event collection (events.root) with ELSSI  setup Pathena and the Grid environment  use a joboption like the one you'd use to run a local analysis based on TAGs  submit the Pathena job  use Panda monitoring to check for completion  use DQ2 enduser clients (dq2-get) to retrieve the output files  Problem: AOD to AOD (copy) is problematic in some releases 30 Jan 2009 Elizabeth Gallas 24

  25. TAG job with Pathena Panda Pathena jobOption Output Dataset ELSSI or POOL Collection Utilities events.root POOL Collection Utilities TAG DB DQ2 events.root events.root events1.root Catalogues DQ2 Client 30 Jan 2009 Elizabeth Gallas 25

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