ip characterization measuring the boost vector

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1 IP Characterization Measuring the Boost Vector Matt Weaver PEP Meeting May 15, 2006

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IP Characterization Measuring the Boost Vector. Matt Weaver PEP Meeting May 15, 2006. Motivation. Measure parameters contributing to luminosity to quantitatively verify that we’re generating all we can. Machine behavior in collision may have surprises that we can benefit from understanding. - PowerPoint PPT Presentation

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Page 1: IP Characterization Measuring the Boost Vector

1

IP Characterization Measuring the Boost Vector

Matt Weaver

PEP Meeting

May 15, 2006

Page 2: IP Characterization Measuring the Boost Vector

2

Motivation

• Measure parameters contributing to luminosity to quantitatively verify that we’re generating all we can.

• Machine behavior in collision may have surprises that we can benefit from understanding.

Page 3: IP Characterization Measuring the Boost Vector

3

Boost Trajectory Measurement

e+e-

LH

LLHHxB EE

xExEp

px

''

'Measure collision point {x,y,z}

and trajectories of pair {x’,y’}

z mean, spread, distribution x,y mean, spread, correlation with zx’,y’ mean, spread, correlation with z

correlation with x,y

B

z resolution ~ 60 mx,y resolution ~ 30 mx’,y’ resolution ~ 0.6 mrad

Page 4: IP Characterization Measuring the Boost Vector

4

Boost Vector Properties

Near the waist (z << *), x and x’ are uncorrelatedx

z *2

*22

'L

LL

H

HHX ff

B

LLHHB xfxfx '''

LH

LHLH EE

Ef

)()( this 9 times

greater than

Expect that X measurements behave like this (z << *X)Boost X’ spread largely reflects HER X’ angular spread

Page 5: IP Characterization Measuring the Boost Vector

5

Lu

min

ou

s X

-siz

e (

m)

HE

R X

’-sp

read

(m

rad

)

Move to half-integer x-tune

dynamic

dynamic

Page 6: IP Characterization Measuring the Boost Vector

6

Far from the waist (z >> *), x and x’ are highly correlated

x

z

**

**2'

L

L

H

H

L

L

H

H

X B

zx

x B '

Boost Vector Properties

Bunch lengths are small compared to *X and comparable to *Y,

so we never see these relations fully.

However, the transition must develop on a z-scale of *, so the z-dependence of these msmts must be a measure of *

Page 7: IP Characterization Measuring the Boost Vector

7

Boost Vector Z-Dependence

LH

LHBB

xx

'

' (luminosity-weighted)

22*22*'

z

zf

z

zfxx

L

L

H

HB

LH

LHBx

xB

2

2'

'

22

222

2

2'

2

2'

2

22

2

222'

LH

LH

L

L

H

H

LH

Bxx

xx

x

xxL

x

xxH

x

LL

x

HHx

ffff

*2*2

H

HHHH

x

xxxx z

*2'

H

HH

x

xxx z

Page 8: IP Characterization Measuring the Boost Vector

8

Monte Carlo Validation 14mm * 14mm *

10mm * 10mm *

6mm * 6mm *

y’dy’/dy

z (cm)z (cm)

mra

d-c

m

mra

d

~ 1 week data

5 fit parametersY*

y-waist z offsetH

L

2YY’ detector error

Fit 2 is a simple sumof the two 2s

No y’ dy’/dy} covariance terms included

Page 9: IP Characterization Measuring the Boost Vector

9

Example measurement of angular spread

Non-zero slope is reminiscentof lumi X-size measurements.

Implies X-waist offset.

“Width” is measure of *.“Height” is measure of *.

Value at z-centroid is well-determined.Limit for z>>* not reached.

Page 10: IP Characterization Measuring the Boost Vector

10

Example measurement of collision position-boost angle correlation

“Z >0”“Z <0”

Page 11: IP Characterization Measuring the Boost Vector

11

Run5 Fit Results*

(m

m)

z (

mm

)

H

(nm

)

L

(nm

)

waistlumi centroid

Page 12: IP Characterization Measuring the Boost Vector

12

Y

(m

)S

pec

ific

Lu

min

osi

ty

Y derived from combined-fit results shows good anti-correlation with specific luminosity

Page 13: IP Characterization Measuring the Boost Vector

13

X s

izes

(m

) X

/

XL

“X”

XL

1

2

2.5

Ratio

of b

eam x-s

izes

X derived from Y measurements

Page 14: IP Characterization Measuring the Boost Vector

14

Fit Results*

(m

m)

wai

st z

(m

m)

H

(nm

)

L

(nm

)

waistlumi centroid

Page 15: IP Characterization Measuring the Boost Vector

15

Plans

Separately determine HER, LER *Y and y-waist locations

Estimate impact of coupling, dispersion {Y, Y’}

Make a measure of coupling y’B(x), x’B(y)

What to do with x? 3 measurements { X,X’,x’B(x)}, at least 4 parms

Make quantitative comparisons to beam-beam simulationversus bunch current, tune?

Page 16: IP Characterization Measuring the Boost Vector

16

Extra Slides

Page 17: IP Characterization Measuring the Boost Vector

17

Boost Trajectory Measurement

e+e-

n

momenta poorly measured trajectories well measured

reconstruct decay plane normal n

z

x

y

n

n

tan = - x’Bcos – y’Bsin≈

x’(or y’)B = EH x’H – EL x’L EH - EL

Page 18: IP Characterization Measuring the Boost Vector

18

Y-Y’ Correlation in Run5 Data

y (cm)

y’ (

mra

d)

y (cm)

Y distribution

y’ vs y invarious z-bins

y’ vs y invarious z-bins

dy’

/dy

z (cm)

dy’/dyversus z

Shift in mean

Y-mean dependsupon

More work to do here

Less S-shape

Page 19: IP Characterization Measuring the Boost Vector

19

d

x’H

/ d

z (m

rad

/cm

)Slope of x’ angular spread

Need to know emittances and beta*s to convert into a waist shift

Move to half-integer x-tune

Page 20: IP Characterization Measuring the Boost Vector

20

X-w

aist

off

set

(cm

)From x-x’ correlation measurement assuming common waist

Move to half-integer x-tune

Page 21: IP Characterization Measuring the Boost Vector

21

*

(mm

)

wai

st z

(m

m)

H

(nm

)

L

(nm

)

generated value

Monte Carlo Fit Results

combined fity’(z) fit only

Page 22: IP Characterization Measuring the Boost Vector

22

Toy Monte Carlo Tests *= L*=10mmzH=zL=0

y’dy’/dy

z (cm)z (cm)

mra

d-c

m

mra

d

≤ 1 week data

7 fit parameters*H, *L

y-waist z offsets (H,L)H, L

2YY’ detector error

Correlated detector errorsare not modeled

*= L*=10mmzH=zL=0

*= L*=10mmzH=+4mmzL=-4mm

*= 8.23mmL*=13.72mmzH=zL=0

*= L*=10mmzH=+4mmzL=-4mm

*= 8.23mmL*=13.72mmzH=zL=0

Page 23: IP Characterization Measuring the Boost Vector

23

*H

(mm

)

*L

(mm

)

z H

(mm

)

z L

(mm

)

generated value

Toy Fit Results

Page 24: IP Characterization Measuring the Boost Vector

24

Fit Results*

(m

m)

wai

st z

(m

m)

H

(nm

)

L

(nm

)

Page 25: IP Characterization Measuring the Boost Vector

25

Y

(m

)S

pec

ific

Lu

min

osi

ty

Y derived from combined-fit results shows good anti-correlation with specific luminosity

Page 26: IP Characterization Measuring the Boost Vector

26

Y

(m

)