Experimental High Energy Physics Summer School For High Schools

Experimental High Energy Physics Summer School for High Schools, (Liseler \.{I}\c{c}in Deneysel Y\"{u}ksek Enerji Fizi\u{g}i Yaz Okulu - lidyef2018) was held between 9-16 September 2018 at Bo\u{g}azi\c{c}i University, Turkey, with financial support from T\"{U}B\.{I}TAK under the 4004 grant 118B491. Out of nearly 700 (11th and 12th grade) applicants, 30 had been selected from all around Turkey. Students were introduced to the fundamentals of high energy physics and performed experiments that demonstrated the techniques of this field, such as a salad-bowl electrostatic accelerator, and a cloud chamber. Here we report on the planning, implementation and the outcomes of the school that can serve as a template for similar activities in the future.Comment: 9 pages, 10 figures, TFD 34 conference proceedin

A meta-analysis of LHC results

We report the preliminary results of a meta-analysis conducted to examine possible biases in the uncertainty values published in papers by ATLAS and CMS experiments. We have performed this analysis using two independent techniques; a vectoral analysis of the vector graphics files and a bitmap analysis of the raster graphic files of the exclusion plots from various physics searches. In both procedures, the aim is to compute the percentages of the data points scattered within 1-sigma and 2-sigma bands of the plots and verify whether the measured percentages agree with statistical norms assuming unbiased estimations of the uncertainties.We report the preliminary results of a meta-analysis conducted to examine possible biases in the uncertainty values published in papers by ATLAS and CMS experiments. We have performed this analysis using two independent techniques: a vectoral analysis of the vector graphics files and a bitmap analysis of the raster graphic files of the exclusion plots from various physics searches. In both procedures, the aim is to compute the percentages of the data points scattered within 1σ and 2σ bands of the plots and verify whether the measured percentages agree with statistical norms, assuming unbiased estimations of the uncertainties