1 / 27

Tom Kitching

Tom Kitching. Coordination Team: THOMAS KITCHING, ADAM AMARA, SARAH BRIDLE, MANDEEP GILL, CATHERINE HEYMANS, RICHARD MASSEY, BARNABY ROWE, LISA VOIGT. Advisory Team: SREE BALAN, GARY BERNSTEIN, MATTHIAS BETHGE, FREDERIC COURBIN, MARC GENTILE, STEFAN HARMELING,

tariq
Download Presentation

Tom Kitching

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Tom Kitching

  2. Coordination Team: THOMAS KITCHING, ADAM AMARA, SARAH BRIDLE, MANDEEP GILL, CATHERINE HEYMANS, RICHARD MASSEY, BARNABY ROWE, LISA VOIGT Advisory Team: SREE BALAN, GARY BERNSTEIN, MATTHIAS BETHGE, FREDERIC COURBIN, MARC GENTILE, STEFAN HARMELING, ALAN HEAVENS, MICHAEL HIRSCH, RESHAD HOSSEINI, DONNACHA KIRK, KONRAD KUIJKEN, RACHEL MANDELBAUM, BABACK MOGHADDAM, GULDARIYA NURBAEVA, STEPHANE PAULIN-HENRIKSSON, ANAIS RASSAT, JASON RHODES, BERNHARD SCHOLKOPF, TIM SCHRABBACK, JOHN SHAWE-TAYLOR, MARINA SHMAKOVA, ANDY TAYLOR, MALIN VELANDER, LUDOVIC VAN WAERBEKE, DUGAN WITHERICK, DAVID WITTMAN

  3. The Challenge of Measuring Shapes • 

  4. Typical galaxy used for cosmic shear analysis Typical star Used for finding Convolution kernel Slide from S. Bridle

  5. Cosmic Lensing gi~0.2 Real data: gi~0.03 5/19 Slide from S. Bridle

  6. Atmosphere and Telescope Convolution with kernel Real data: Kernel size ~ Galaxy size 6/19 Slide from S. Bridle

  7. Pixelisation Sum light in each square Real data: Pixel size ~ Kernel size /2 7/19 Slide from S. Bridle

  8. Noise Mostly Poisson. Some Gaussian and bad pixels. Uncertainty on total light ~ 5 per cent 8/19 Slide from S. Bridle

  9. Need to measure shear to 10-3

  10. Current Methods •  •  •    

  11. STEP : Shear Testing Programme •  •  •  •  •  •  •  • 

  12. Heymans et al., 2006; Massey et al., 2007 & Kitching et al., 2008 KSB

  13.    •  •  •  •  •  • 

  14. Quality Factor Kitching et al., 2008 (form filling functions); Amara & Refregier (2007)

  15. 7 non-lensing participants Q~1000 in some regimes

  16. GREAT08 : Stacking Procedure is Important Average Data Individual Object Statistic Ensemble Statistic Average Estimators Winning Methods (Q=1000) Stacked the Data

  17. STEP 2006 2010 2008

  18.  •  • 

  19. Massey et al. 2008 Fu et al. 2008

  20.  •  •  •  Bonus Star Challenge: Reconstruct the PSF at non-star positions

  21. Get Ready ! •  •  •  •  •  •  •  •  • 

  22. http://www.greatchallenges.info/ GREAT10 Handbook, Kitching et al., 2010

  23. http://www.greatchallenges.info/ “Every time the amount of data increases by a factor of ten we should totally rethink the way we analyze it” Jerome Freidman, Data Mining and Statistics, 1997

More Related