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Fermi Large Area Telescope

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Fermi Large Area Telescope Tutorial on Science Analysis Data Access Tony Johnson Stanford Linear Accelerator Center tonyj_at_slac.stanford.edu Fermi Gamma-ray Space ... – PowerPoint PPT presentation

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Title: Fermi Large Area Telescope


1
Fermi Large Area Telescope Tutorial on Science
Analysis Data Access Tony Johnson Stanford
Linear Accelerator Center tonyj_at_slac.stanford.edu
http//glast-ground.slac.stanford.edu/DataPortal
2
Data Portal Components
  • The Data Portal Comprises
  • Astro Server
  • Common History
  • Fits Skimmer
  • Merit Skimmer
  • Data Catalog
  • Web Interface
  • Linemode Client
  • Download Manager
  • Web Interface
  • Command Line
  • WIRED Event Display
  • This talk will only cover the items in red.

All components available via the web interface
at http//glast-ground.slac.stanford.edu/DataPort
al
3
Astro Server
4
Astro Server
  • Allows data to be selected based on any
    combination of
  • Energy Range
  • Position in sky (ra,dec,radius)
  • Position can be looked up in SIMBAD catalog
  • Event Class (transient, source, diffuse)
  • Time Range (MET)
  • Can produce FT1 (fits), FT2 (fits) and/or Merit
    (root)
  • Supports multiple Event Samples
  • Currently LEOScience or Level1
  • Can support access to multiple versions of data
    once we start reprocessing, or if we want to have
    any kind of special event selections
  • Level1 data currently loaded as soon as it
    becomes available from pipeline
  • Web and command line interfaces available

Coming Soon
5
Astro Server Web Interface
Page pre-populated with your most recent selection
You can give job meaningful name
Leave fields blank for no-limit
Give name of astronomical object, sirius, M31,
MCG02-60-010
Expert options allow experimental features to be
easily added
6
Astro Server Web Interface
README contains job parameters
7
Common History
  • Data Portal History can be used
  • Show status of all your skimmer/astro server jobs
  • To access output directory, pipeline details for
    all jobs
  • Recover parameters of any job

Tutorial Demo
Click to go to output directory
Click to go to pipeline
Click to recover parameters
8
Common History
  • Clicking on job name in history recovers
    parameters
  • Allows rerunning same or similar job

9
Fits Skimmer
10
Fits Skimmer
  • Supports merging any FT1/FT2 files in data
    catalog
  • Allows fcopy rowfilter style cuts to be applied
    to FT1 columns
  • Example
  • ZenithAnglelt105 CTBClassLevel3
  • http//heasarc.nasa.gov/lheasoft/ftools/headas/row
    filter.html
  • Allows selection of data based on meta-data in
    data catalog
  • Examples
  • sIntentnomSciOps
  • LEOScience"1835Survey
  • nMootKey2103 nMootKey2104
  • Outputs FT1 and FT2 files

Coming Soon
11
Fits Skimmer Web Interface
Page pre-populated with your most recent selection
You can give job meaningful name
Row Filter
Data Selection (this is the selection Richard has
been using for making merged FT1/FT2 files)
12
Fits Skimmer Web Interface
13
Fits Skimmer vs. Astro Server
  • Fits Skimmer
  • Allows cuts on any FT1 column
  • Suitable for merging many files with minimal cuts
  • Can output FT1, FT2
  • Can be used with any dataset in data catalog
  • Fully reads all input files
  • Astro Server
  • Allows cuts on energy, time, position, event
    class
  • Suitable for selecting limited number of events
  • Can output FT1, FT2, Merit
  • Can only be used with data loaded into database
  • Uses database for efficient access to selected
    events
  • In future smarter single web interface may
    automatically choose most appropriate backend
    tool.

Coming Soon
14
Data Catalog
15
Data Catalog
  • Allows access to many datasets including Level1
    data, ASP data, Reprocessed data, MC data sets

Key locations allow attention to be drawn to
important datasets
16
Data Catalog
  • Data Catalog has been designed to be extensible
  • Can science groups make better use of data
    catalog?
  • Use it to define standard datasets?
  • As alternative to sending e-mail with location on
    user disk
  • See LEOScience folder as example
  • Use meta-data to keep track of common data
    selections
  • E.g. goodDatatrue instead of complex set of
    sIntent cuts

17
Status
  • Working on improving documentation
  • Adding FAQs at
  • https//confluence.slac.stanford.edu/display/ds/Da
    taAccessFAQ
  • Please contribute your own questions (we will try
    to provide the answers)
  • Data Portal is now mostly complete
  • Most of the planned functionality is available
  • Documentation is improving
  • We need to work with Science Groups to make sure
    we are making optimal use of the available tools
  • We need input from Science Groups (you) on what
    additional features are needed/desired
  • E-mail me, or use helpsoftlist_at_glast.stanford.edu

18
Discussion Items
  • Astro server
  • What data should be loaded?
  • Currently loaded with all FT1 (including LEO)
    satisfying Richards sIntent cuts
  • Should we remove early data?
  • Is this is the right set of data?
  • Currently all transient, source, diffuse data
    classes
  • Original plan was for less data, may need to beef
    up server as we get more data
  • Weekly summary DST files?
  • What data, when/how to make them?
  • Can science groups make better use of data
    catalog?
  • Use it to define standard datasets?
  • Use meta-data to keep track of common data
    selections
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