1 / 5

2D limits contours

2D limits contours. Benoit Clément – IReS Strasbourg. Single top meeting. Previous results. JLIP/Lh result (370 pb -1 ) :. Expected. Observed. But… NN analysis also had 2D limit contours :. Combining LHs. 4 filters : s / tt , s / Wjj , t / tt , t / Wjj

valora
Télécharger la présentation

2D limits contours

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. 2D limits contours Benoit Clément – IReS Strasbourg Single top meeting

  2. Previous results JLIP/Lh result (370 pb-1) : Expected Observed But… NN analysis also had 2D limit contours :

  3. Combining LHs 4 filters : s/tt, s/Wjj, t/tt, t/Wjj -> needs to recombine tt and Wjj filters in one single variable. Reinhard’s solution : use a LH to rebin tt/Wjj 2D histogram What I did : Just use the product of the two LH variables. Less sensitive to statistical fluctuation in low populated bins. Derive s-channel vs t-channel 2D LH histograms

  4. 2D contour

  5. Inclusive limits SM independent Expected Observed New combined s+t : < 4.8 pb

More Related