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Introduction to CMSSW

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Introduction to CMSSW. Framework Concepts. Simulation & Reconstruction. Liz Sexton-Kennedy ... CMS is now on it's second generation of offline software. ... – PowerPoint PPT presentation

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Title: Introduction to CMSSW


1
Introduction to CMSSW
  • Framework Concepts
  • Simulation Reconstruction

Liz Sexton-Kennedy January 10, 2008
2
Introduction
  • CMS is now on its second generation of offline
    software. Use of the first generation software
    systems is long gone now, but much of the work
    that went into these projects (ORCA, OSCAR,
    COBRA, IGUANA) was reused by porting it
  • to CMSSW.
  • CMSSW is the full suite
  • of offline software in the
  • new architecture.
  • Code for online data taking,
  • Simulation, Primary
  • reconstruction, and
  • Physics analysis.

3
Introduction
  • CMSSW is now a large software system

4
Code Organization
  • The thousand (or so) packages that make up the
    project are organized into sub-systems with names
    that should be suggestive of their purpose

5
Glossary T(more/less)LA's
  • CMSSW Compact Muon Solenoid SoftWare
  • EDM Event Data Model
  • FW Application Framework
  • AOD Analysis Object Dataset
  • TDR Technical Design Report
  • DAQ Data Acquisition
  • FED Front End Digitizer
  • HLT High Level Trigger
  • PAT Physics Analysis Toolkit software effort
  • PADA Processing and Data Access computing
    effort
  • CVS Code Versioning System also called the
    code repository
  • CmsTC CMS Tag Collector integration tool

6
FW Architecture - Plugins
  • Applications in CMSSW are built from special
    shared object libraries called plugins. In
    practice this means that there is only one
    command you need to know to run most CMS
    applications cmsRun ltsome-configuration-filegt
  • Configurations are currently written in a
    specialized invented language, but we are in the
    process of moving to the python language. 2_0_X
    and earlier use the first, 2_1_X and later will
    use python.
  • There are two types of plugins
  • Module Plugins EDProducers, EDFilters,
    EDAnalyzers, (EDLoopers, etc.) and ESSources,
    ESProducers. These are the worker components of
    the FW. ED process event data, ES process
    event setup data.
  • Data Object Plugins also known as root
    dictionaries because they can also be loaded
    directly into the root application. These are
    most of the products of the above work, and form
    the elements of the EDM.

7
Basic Concept of the EDM
  • The data produced in the primary reconstruction
    farms (Tier 0 CERN), or reprocessing farms
    (Tier 1s) must be immediately useful for analysis
    (at least once we really understand the
    detector).
  • We have designed the system so that the same
    pool/root data file can be used in three
    contexts
  • Bare root.exe treat pool file as a root input
    file, allows browsing of simple objects (floats,
    ints, and composites of them) from the root
    TBrowser GUI.
  • FWLight a small set of CMS defined loadable
    libraries added to root to allow more
    sophisticated use with root macro scripts. For
    the EDM this is a read-only application.
  • cmsRun - input for a full framework
    application, could be used for a reprocessing
    pass or creation of more refined analysis objects
    stored into the AOD.

8
Basic Concepts of the FW
  • A Software Bus Model
  • Start from the raw-raw data
  • Producers are scheduled to operate on the event
    data and produce their output which is written
    into the event
  • At any point in the processing chain, the
    execution can be halted and the contents of the
    event can be examined outside of the context of
    the process that made it
  • The schedule can be checked for correctness since
    the modules can declare their inputs (and outputs
    if they are EDProducers). This allows the FW to
    automatically track the provenance of what is
    produced.
  • Several instances of the same module can be run
    in the same application and you will still be
    able to uniquely identify their products.
    Identified by C type, producer label, instance
    name, process name

9
Schematic Picture of Reconstruction
  • A simplified example take from the calorimeter
    reconstruction

10
Where do I plug in ?
  • As you can see from the previous slide each blue
    box must be defined by a reconstruction writer.
  • The first step is to define what are the input
    and output objects needed for your algorithmic
    task.
  • These need to be defined as C classes that
    follow the EDM rules gt define EDProduct classes
    in some DataFormat subsystem.
  • Decide what services your algorithm needs
    (calibrations, geometry description) from
    EventSetup
  • Start from templates or code generators for the 5
    types in FWCore/Skeletons/scripts (eg. mkedprod )
  • Write the EDProducer that receives all of the
    information and passes it on to the algorithms.

11
More FW Concepts -EventSetup
  • The EventSetup is the system which delivers all
    non-event data to EDProducers and other modules.
    Its component are activated on demand rather
    then scheduled in contrast to the event data
    components.

EventSetup
12
Simulation in CMSSW
Root data file (add SimHits)
Root data file (add Raw)
Root data file (HepMC)
Detector Simulation
Generation
Digitization
Reconstruction
Modeling of electronic signal (Digis)
Particle gun, physics generator (vertices,
particles)
Particle showers, EM Fields, based on Geant4
(SimHits)
Overlay in-time min-bias events from same
collision and out-of-time min-bias events from
neighboring collisions
Min-Bias Generator
Min-Bias SimHits
Event RawData
CPU
Signal Generator
Signal SimHits
13
Reconstruction in CMSSW
Simulation of Electronics
Low-level Reconstruction
Raw Data
  • 20 interactions/ crossing
  • 25 ns crossing time faster than detector
    response read out (simulate) crossings 53
  • 200 pileup events per 1 signal event!

High-level Reconstruction and Analysis
HCAL
14
Summary
  • CMSSW is a large scale software system for
    simulation, data acquisition, triggering,
    reconstruction and analysis of CMS data.
  • A lot of work has been done over the past 3
    years, but there is a lot of work still to do. I
    expect the code base to be at least 2 to 3 times
    bigger (CDF for instance is). The work to
    understand the detector and capture that
    understanding in the software and databases is
    still to be done in the continued commissioning
    of the detector over the next year.
  • Come and join the fun, become a CMSSW developer
    by attending the rest of the tutorials this week.
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