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HEP Tel Aviv UniversityLumical - A Future Linear Collider detector

LumicalR&D progress report

Ronen Ingbir

Dense design

Design variations

Luminosity study Future

1.Phi bias

2. Delta theta

3. Real life approach

4. New selection mechanism

1. Moliere radius

2. Radiation length

3. Detector properties

4. Design optimization

1. Margins design properties

2. Events close to margins

3. Maximum pick shower design

4. Remarks

Prague follow up

Constant value

)(deg)(

)(deg)_( genrecmean

250 GeV

Fixed non zero bias under investigation.

Events Num.E weight.

Log. weight.

(deg)genrec

Azimuthal reconstruction

Two plots convinced us that the bias observed is not detector design dependent nor imperfect algorithm.

48 sectors design

(deg)genrec X (cm)

Y (cm)

Magnetic field

Constant value

))(_( radmean genrec

))(( rad400 GeV

)(radgenrec

)(radgen

Log. weight.

E weight.

Polar reconstruction

44 103.1107.5

‘Pure’ electrons simulation

Bhabha+Beam+BS(5e-4)

)(radgenrec

Bias study

Real life algorithm

Working with both sides of the detector and looking at the difference between the reconstructed properties:

(In real life we don’t have generated properties)

Polar resolution

Energy resolution

33 mrad

Energy Resolution )( GeV

The most significant event selection cut is the geometric acceptance cut.

This cut was used to get the best energy, angular resolutions and minimum biases.

Events selection

Eout - EinEout + EinP=

New selection cut

Signal

Eout-EinEout+EinP=

3 cylinders

3 Rings

2 cylinders

3 Rings

1 cylinders

3 Rings

Eout-EinEout+EinP=

Dense design

0.34 cm Tungsten

0.31 cm Silicon

15 cylinders * 24 sectors * 30 rings = 10800 cells

0.55 cm Tungsten

0.1 cm Silicon

RL20 cm 20 cm

Dense0.156e-3Regular0.137e-3

Dense, 35%

Regular, 27%

0 0.05 0.1 0.15 0.2 0.25 0.3 0.35

Regular

Basic properties

Moliere radius

X (cm)

Detector Signal

Radiation length

30 radiation length detector47 radiation length detector

Z (cm)

Detector Signal

Optimization

16 cylinders 40 rings

Polar resolution & bias

Energy resolution

Energy Resolution )( GeV

Events

New geometric acceptance

Optimization

Margins around cells

Having margins

Losing Information

One cylinder One sector

Radius (cm) ) deg(

Loosing information

Energy resolution

Polar resolution

Our basic detector is designed with

30 rings * 24 sectors * 15 cylinders = 10,800 channels

Do we use these channels in the most effective way?

Maximum pick shower design

30 rings 15 cylinders

20 cylinders

10 cylinders

24 sectors * 15 rings * (10 cylinders + 20 cylinders) = 10,800 channels

4 rings 15 rings 11 rings

10 cylinders

Maximum pick shower design

Basic Design

Angular resolution improvement

without changing the number of

channels

Other properties remain the same

))(_( radmean genrec

))(( rad

Constant value

Polar reconstruction

0.11e-3 rad0.13e-3 rad

Remarks

Options to minimize the margin effect:

1. Rings rotation.

2. Different cylinders segmentation

Maximum pick shower design can enable us to reduce the number of channels while maintaining properties or to improve properties while kipping the same number of channels.

Pure electron MC

Detector properties

Events selection

‘Real physics’ MC + digitization noise + New max pick design + Margins

Final optimization

‘Real physics’ MC

Bhabha + Beamstrahlung + Beamspread

R&D status & future steps

))(,,),(( EENN

LL High statistics MC for

required precision

THE END

HEP Tel Aviv University

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