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Some comparison between IDR-L and IDR-S in reconstructed particle level has done. More details can be found in my talk on 2019Apr03. All plots are left-handed beam polarization. All histograms are normalized to 1.

Overall distribution after BDTG score cut:

LaTeX Math Inline
bodyM_{\mu ^+ \mu ^-}
and
LaTeX Math Inline
body\sigma (M_{\mu ^+ \mu ^-})

View file
namemumu_mass.pdf
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View file
namesigma_mumu_mass.pdf
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View file
namemumu_mass.C
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View file
namesigma_mumu_mass.C
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Similar plot ("barrel category"); require both muons are in barrel region

LaTeX Math Inline
body|\cos \theta _{\mu ^{\pm}}| < 0.7

View file
namemumu_mass_07.pdf
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View file
namesigma_mumu_mass_07.pdf
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View file
namemumu_mass_07.C
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View file
namesigma_mumu_mass_07.C
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Similar plot ("mixed category"); require one muon is in barrel region

LaTeX Math Inline
body|\cos \theta _{\mu 1}| < 0.7
, and another is in endcap/forward region
LaTeX Math Inline
body|\cos \theta _{\mu 2}| > 0.7

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A toy MC technique is applied by using overall

LaTeX Math Inline
bodyM_{\mu ^+ \mu ^-}
distribution after BDTG score cut to estimate the precision on
LaTeX Math Inline
body\sigma \times \mathrm{BR}(H \to \mu ^+ \mu ^-)
. Two detector models and two beam polarization cases are considered. In addition, the theoretical number is provided which assumes 100% signal efficiency, no backgrounds, and no detector effects.


IDR-LIDR-STheory
left

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body40.15 \pm 0.15{\%}

LaTeX Math Inline
body41.11 \pm 0.15{\%}

LaTeX Math Inline
body13.18{\%}

right

LaTeX Math Inline
body114.51 \pm 0.69{\%}

LaTeX Math Inline
body113.73 \pm 0.68{\%}

LaTeX Math Inline
body35.51{\%}

  • My real analysis is about a factor of 3 worse than the theoretical limit. There are several reasons mixed up: imperfection of cuts, existence of irreducible background mainly come from
    LaTeX Math Inline
    bodye^+ e^- \to W^+ W^- \to 2\mu 2\nu
    , detector effect, and so on.
  • The right-handed case does not provide good precision due to too small number of events, only ~8 events with 1600 fb-1 statistics.
  • IDR-L gives relatively ~2.4% better precision than IDR-S, because overall
    LaTeX Math Inline
    bodyM_{\mu ^+ \mu ^-}
    distribution is better in IDR-L. In detail, IDR-L gives significantly better performance in "barrel category", and similar performance in "mixed category". Almost all events are categorized in these two groups, resulting better result with IDR-L.

IDR note.

You can see my private overleaf project from here. The contents are only IDR-world.

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