We want to separate signal events (S) from background events (B). We can simulate both types of events and check their distributions in two dimensions, x and y. S and B have the means vectors μs and ПB and the covariance matrices Vs and VB in the two dimensions, x and y: 1 = = ( 4.0 ), μB = ( 20 ) . Vs = 3- (32). - (1 ½). VB = 22 12 a) Compute the coefficients of a Fisher discriminant to classify the data into signal S and background B. b) Simulation of signal and background have produced the following five signal and five back- ground events: c) signal: y -0.28 3.48 1.30 4.52 -2.62 1.66 0.94 4.81 -1.13 3.53 background: X y 2.78 0.84 1.75 2.31 2.62 2.71 0.39 0.05 2.00 2.14 Calculate the fisher discrimimant for the events and state a possible cut to distinguish signal and background. The following five data events have been collected: X y 1.21 0.21 -0.05 0.40 -0.82 2.29 -1.31 2.35 2.32 1.42 Calculate the 95% CL upper limit on the number of signal events which pass the selection.

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We want to separate signal events (S) from background events (B). We can simulate both types
of events and check their distributions in two dimensions, x and y. S and B have the means
vectors μs and ПB and the covariance matrices Vs and VB in the two dimensions, x and y:
1
=
= ( 4.0 ),
μB
= ( 20 ) .
Vs
=
3- (32). - (1 ½).
VB
=
22
12
a) Compute the coefficients of a Fisher discriminant to classify the data into signal S and
background B.
Transcribed Image Text:We want to separate signal events (S) from background events (B). We can simulate both types of events and check their distributions in two dimensions, x and y. S and B have the means vectors μs and ПB and the covariance matrices Vs and VB in the two dimensions, x and y: 1 = = ( 4.0 ), μB = ( 20 ) . Vs = 3- (32). - (1 ½). VB = 22 12 a) Compute the coefficients of a Fisher discriminant to classify the data into signal S and background B.
b) Simulation of signal and background have produced the following five signal and five back-
ground events:
c)
signal:
y
-0.28
3.48
1.30
4.52
-2.62
1.66
0.94
4.81
-1.13
3.53
background:
X
y
2.78
0.84
1.75
2.31
2.62
2.71
0.39
0.05
2.00
2.14
Calculate the fisher discrimimant for the events and state a possible cut to distinguish signal
and background.
The following five data events have been collected:
X
y
1.21 0.21
-0.05 0.40
-0.82 2.29
-1.31 2.35
2.32 1.42
Calculate the 95% CL upper limit on the number of signal events which pass the selection.
Transcribed Image Text:b) Simulation of signal and background have produced the following five signal and five back- ground events: c) signal: y -0.28 3.48 1.30 4.52 -2.62 1.66 0.94 4.81 -1.13 3.53 background: X y 2.78 0.84 1.75 2.31 2.62 2.71 0.39 0.05 2.00 2.14 Calculate the fisher discrimimant for the events and state a possible cut to distinguish signal and background. The following five data events have been collected: X y 1.21 0.21 -0.05 0.40 -0.82 2.29 -1.31 2.35 2.32 1.42 Calculate the 95% CL upper limit on the number of signal events which pass the selection.
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