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Daniel J. Cruz Dept. of Physics and Astronomy Texas A&M University
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Presentation Overview Utilizing Cuts Actual Experiment Results Summary 2
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Overview Utilize cuts in physics to better analyze data Show that care needs to be taken when making cuts (cannot make them blindly) Sometimes two cuts AREN’T better than one cut 3
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Utilizing Cuts 4
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One Cut Analysis Cut away part of data Stick with most useful Free to move cut selection (in this case, 200 GeV) 5
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Two Cut Analysis Cut away part of data, then separate rest in two cuts Cut A is original cut, cut B is new cut within original Makes data more manageable Can move both cuts, or keep one cut (A) static while moving other cut (B) 6
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Actual Experiment 7
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Expected Cross Sections We look for 95% confidence limit on expected cross section, σ production Utilize cuts technique to optimize σ 95 Used modified Fortran Limiting Calculator program, coded by Dr. Joel Walker of Sam Houston State University 8
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Experiment Data taken from Eunsin Lee’s Ph.D. thesis at Texas A&M, Phys. Rev. Lett. 104, 011801 (2010) Phys. Rev. Lett. 104, 011801 (2010) Binned values were used, as well as fitted values Graph provided by Chris Davis (modified graph in slides 5 and 6) 9
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Background Fitted background Used an exponential curve Red dots are fit, black dots are actual data 10
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Acceptance Fitted acceptance Used a Gaussian curve Red dots are fit, black dots are actual data 11
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One Cut Experiment Red dots are actual data Black dots are fitted data Optimum is 22 fb at 240 GeV (22.5 fb at 250 GeV for fitted curve) What about two cuts? 12
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Two Cut Experiment Minimum of 21 fb at (240,36) However, places where σ 95 > 22 fb Better than one cut in places, worse in other places! Graph provided by Chris Davis 13
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Results 14
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How much better can you get? Plot of cut A (250 GeV) as a function of cut B; black dotted line indicates limit at 250 GeV (22.45 fb) By manipulating our cut B, we can optimize to 21.3 fb (achieved with cut B at 350 GeV) 15
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One Cut -> Two Cut You always (ok, most of the time) get an improvement Have to be careful in order to maximize improvement Shown is 2-D Minimum Limit vs. Cut A (notice that lowest limit achieved is better than 1-D) 16
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Summary In MOST cases, two cuts > one cut (have to be careful, though) Delicate in how to choose cut B (otherwise, you get result which is roughly equal to one cut) 17
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