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run 7 : K0s inv mass signal-to-noise and significance vs. St cut
The idea is to look at the cut St = dca /σ (track significance) but for all possibilities (silicon hits = 0 to silicon hits =4)
This cut may be different since σDCA(Pt) is different from silicon hit =0 (TPC only) to silicon hits =4 (SSD+SVT), as shown in Fig. 1
Fig. 1 : σDCA distribution of pions candidate
TPC only (yellow) has a <σDCA> of 0.25 cm whereas tracks with SSD+SVT (red for silicon hits =4) have a <σDCA> of 0.025 cm
Then the next step is to fit the distribution dca / σDCA vs Pt ; the idea is that tracks from secondary vertex should have larger dca, then selecting tracks with St > g(Pt) [where g(Pt) is the fit function] might remove combinatorial background
Note: this is equivalent to the "usual" cut for V0 decay , |dca to PV| > .8 cm
Fig. 2 : s.t.d of dca / σDCA vs Pt ; lines are pol3 to pol4 fit ; the parameters of each fit are then used in the analysis ;
from left to right, top to bottom : tracks with silicon hits = 0, 1, 2, 3, 4
In the analysis, I only used the fit parameters if Pt < 2.5 .
K0s candidates are only kept if pion tracks satisfied the condition St > g(Pt), depending on their silicon hits number
- St > 1*g(Pt)
- St > 2*g(Pt)
- St > 3*g(Pt)
Summary :
St > | 1 | 2 | 3 |
signal-to-noise | 0.06 | 0.59 | 2.09 |
significance | 14.87 | 26.23 | 26.60 |
- St > 1 helps to have an K0s peak but with low s/b [put the inv. mass plot w/o any cuts on St to show the combinatorial background]
- going from St>2 to St>3 does not improve much the significance but considerably (x4) increase the s/b
St > | 1 | 2 | 3 |
<mass> | 0.4974 | 0.4917 | 0.4966 |
σ | 0.009 | 0.007 | 0.008 |
- invariant mass vs. # silicon hits of daughters
Fig. 3 : invariant mass of K0s vs. the # of silicon hits for daughters : each opposite combination (1 && 2, 2 && 1) is also included
Labels of histograms are wrong , one should read "SiPion(daughter1) && SiPion(daughter2)
- for #si(daughter1) = 0 && #si(daughter2) = 0
- for #si(daughter1) = 1 && #si(daughter2) = 1
- for #si(daughter1) = 2 && #si(daughter2) = 2
- for #si(daughter1) = 3 && #si(daughter2) = 3
- for #si(daughter1) = 3 && #si(daughter2) = 4
summary :
si hits for daughters | 0-0 * | 1-1 | 2-2 | 3-3 | 3-4 |
mass | 0.4984 | 0.4971 | 0.4956 | 0.4955 | 0.4956 |
width | 0.0015 | 0.001 | 0.006 | 0.005 | 0.003 |
* : the fit is not working well, it seems there is a double speak
➥ so we see that daughters having 2 or more silicon hits have an improved width
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