Data Challenge I Shameless Advertising for the DC1 Closeout Meeting

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Data Challenge IShameless Advertising for
theDC1 Closeout Meeting

• Tracy UsherGLAST All-Hands MeetingFebruary 11,
  2004

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Purposes of the Data Challenges(Steve Ritz)

• End-to-end testing of analysis software.
• Familiarize team with data content, formats,
  tools and realistic details of analysis issues
  (both instrumental and astrophysical).
• If needed, develop additional methods for
  analyzing LAT data, encouraging alternatives that
  fit within the existing framework.
• Provide feedback to the SAS group on what works
  and what is missing from the data formats and
  tools.
• Uncover systematic effects in reconstruction and
  analysis.

Support readiness by launch time to do all
first-year science.
See Richard Dubois January All-Hands Talk for
details
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Data Challenge Plans
See Richard Dubois January All-Hands Talk for
details
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Goal for Data Challenge IData for Analyses

• Original Goal One days input to the onboard
  filter
• Including background 400 Million Events
• Backgrounds not (yet) necessary
• Replace real backgrounds, cuts to approximate
  effect
• Produced one day all-sky survey. Generated E gt 20
  MeV

Egt100 MeV with some other cuts for illustration
Courtesy Julie McEnery
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DC1 Extra!Additional 5 Days Data
660k gs pass cutsCourtesy Seth Digel
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Goals for Data Challenge IThe Desired
Results(Steve Ritz)

• A minimum set of plots and tables, including 
• Table 1 Found sources ranked by flux (Egt100
  MeV).
• The table will contain the following columns
• Reconstruction location and error circle
• Flux (Egt100 MeV) and error
• Significance
• 3EG identification (yes/no) NOTE Don't assume
  DC1 sky is THE 3EG Catalog!
• Extra Credit
• Include flux below 100 MeV
• Spectral indices of the brightest sources
• Comparison of 3EG position and flux
  characteristics with GLAST analysis 
• Figure 1 LogN-Logs plot of Table 1 
• Table 2 List of transients detected, columns
  are
• location and error circle
• flux (E gt100 MeV) and error
• significance
• duration 
• Figure 2 Light Curve
• Extra Credit Figure 2a spectra 

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Data Challenge I Schedule

• Concept
• Spring 2003
• Organizing the Science Analysis Software Troops
• July 2003 Ground Software Workshop
• http//www-glast.slac.stanford.edu/software/Worksh
  ops/July03Workshop/coverpage.htm
• Data Challenge I Kickoff
• September 2003
• Followed the Rome Collaboration Meeting
• Getting the Users Involved
• December 2003 DC1 Workshop
• http//www-glast.slac.stanford.edu/software/Worksh
  ops/Dec03DC1Workshop/coverpage.htm
• 50 attendees!
• Closeout meeting
• February 12-13
• So far 50 people have indicated they are coming!

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http//www-glast.slac.stanford.edu/software/DataCh
allenges/DC1/DC1_StatusAndInfo.htm

• Documentation
• Users Guide
• Data Description
• Likelihood Tutorial

DC-1 Discussion List
Analysis Codeand data download ftp site
Wiki page forsharing results!
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http//www-glast.stanford.edu/cgi-prot/wiki?DataCh
allenge1
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Jim Chiang A cursory study of the Galactic
Centerhttp//www.slac.stanford.edu/jchiang/GC_a
nalysis/main.html
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Sean Robinson Some Results on my Wavelet
Methodhttp//d0.phys.washington.edu/srobinsn/m
emo/DC1AnalysisPerformanceJan04.htm
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DC-1 Closeout Meeting

• Starts Tomorrow!
• All day Thursday
• Half day Friday
• Thursday Agenda
• 15 Analysis Talks!
• Monte Carlo Truth unveiled after talks
• User feedback session to work on improving tools
• For more Information go to the DC1 Closeout
  Meeting web page located at http//www-glast.sla
  c.stanford.edu/software/Workshops/Feb04DC1CloseOut
  /coverpage.htm

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DC-1 Closeout Meeting

• Friday Agenda
• Update on Filter and Background Rejection
• Recap of SAS upgrades for DC-1
• Lessons learned, immediate plans and where to go
  next

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DC-1 Closeout Meeting

• This weeks meeting represents the culmination of
  a nearly 9 month project to tie together the
  various pieces of Science Analysis Software
• Simulation reconstruction
• Science Tools
• Support software
• Documentation
• Etc.
• For most it is the first time using the Science
  Tools to look at GLAST data
• Long list of short analysis talks on various
  topics
• Its not too late to sign up!
• Registration starts tomorrow, 830 am in the SLAC
  Orange Room
• See http//www-glast.slac.stanford.edu/software/W
  orkshops/Feb04DC1CloseOut/coverpage.htm
• Come to the meeting!!

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Riccardo Rando A Few Examples of the Likelihood
Tool http//sirad.pd.infn.it/glast/ground_sw/ri
ckObs.html