Presentation on theme: "Www.great08challenge.infowww.cosmocoffee.info 1/19 PASCAL Challenge PASCAL Workshop, Bled 28 Jan 2008 Sarah Bridle (UCL) on behalf of the GREAT08 Team."— Presentation transcript:
www.great08challenge.infowww.cosmocoffee.info 1/19 PASCAL Challenge PASCAL Workshop, Bled 28 Jan 2008 Sarah Bridle (UCL) on behalf of the GREAT08 Team
www.great08challenge.infowww.cosmocoffee.info 14/19 GREAT08 Data One galaxy per image Kernel is given One shear per set Noise is Poisson ~10 000 images divided into ~10 sets ~100 000 000 images Divided into ~1000 sets
www.great08challenge.infowww.cosmocoffee.info 15/19 GREAT08 Results You submit g 1, g 2 for each set of images
www.great08challenge.infowww.cosmocoffee.info 16/19 GREAT09 and Beyond Kernel is not given (just kernel images) Galaxies with more complicated shapes Kernel is more realistic Many objects in each image Correlated noise Poisson + Gaussian noise + bad pixels Shear is different for each galaxy Kernel is not the same for every galaxy Cosmic rays, satellite tracks, saturated stars Multiple exposures Pixels not exactly square or on a grid
www.great08challenge.infowww.cosmocoffee.info 17/19 GREAT08 Timeline ~8 Feb 2008 GREAT08 Handbook public Feb 2008 Produce simulations Mar 2008 Internal analysis of simulations ~ May 2008 Release simulations –Leaderboard starts containing best internal results ~ Nov 2008 Competition deadline ~ Dec 2008 Workshop; Release final report –Input shears public www.great08challenge.info
www.cosmocoffee.info 18/19 GREAT08 Summary 100 million images 1 galaxy per image De-noise, de-convolve, average shear g i ~ 0.03 to accuracy 0.0003 Q~1000 Win!
www.great08challenge.infowww.cosmocoffee.info 22/19 GREAT08 Summary 100 million images 1 galaxy per image De-noise, de-convolve, average shear g i ~0.03 to accuracy 0.0003 Q~1000 Win! 18/18
www.great08challenge.infowww.cosmocoffee.info 23/19 Questions for you Is there too much astronomy to learn? –Yes –No Is timeline (~6 months) right? –Too short –Fine –Too long Is this potentially on your research agenda? –No –Maybe –Yes
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