algorithms for emittance evaluation

49
Algorithms for emittance evaluation

Upload: gayora

Post on 14-Jan-2016

39 views

Category:

Documents


0 download

DESCRIPTION

Algorithms for emittance evaluation. Emittance measurements. Slit-grid devices. Trusted method Wire current resolution 1pA Integration time 1us..Nsec Spatial resolution ~100um Measurement time minutes. Slit-grid control software. Pepper-pot measurements without scintillating screen. - PowerPoint PPT Presentation

TRANSCRIPT

Page 1: Algorithms for emittance evaluation

Algorithms for emittance evaluation

Page 2: Algorithms for emittance evaluation

Emittance measurements

Page 3: Algorithms for emittance evaluation

Slit-grid devices

•Trusted method•Wire current resolution 1pA•Integration time 1us..Nsec•Spatial resolution ~100um•Measurement time minutes

Page 4: Algorithms for emittance evaluation

Slit-grid control software

Page 5: Algorithms for emittance evaluation

Pepper-pot measurements without scintillating screen

Page 6: Algorithms for emittance evaluation

Use of optical registration

Page 7: Algorithms for emittance evaluation

An example of optimal resolution ratio for single shot operation

Page 8: Algorithms for emittance evaluation

Dedicated algorithms and outputs

Page 9: Algorithms for emittance evaluation

Scattering effects in screens, holes and slits

Page 10: Algorithms for emittance evaluation

Pepper-pot calibration

Pinhole effective radius calibration Estimation of the light scattering

effect in the screen Pinholes zero position calibration

with low-emittance light beam

Page 11: Algorithms for emittance evaluation

Use of multiple profile monitors

Page 12: Algorithms for emittance evaluation

Use of variable quadrupole strengths

Page 13: Algorithms for emittance evaluation

Longitudinal emittance measurements

Timo Milosic. Thursday. 10:50

Page 14: Algorithms for emittance evaluation

Ellipses and linear optics

Page 15: Algorithms for emittance evaluation
Page 16: Algorithms for emittance evaluation

Canonical distributions

Page 17: Algorithms for emittance evaluation

Universal algorithms

Mostly exist for two-dimensional phase space

Applicable for any measurement type

•Data transformation: applying of linear optics element, resampling etc.•Noise and fraction reduction•Data healing tools•2-D emittance calculation

Page 18: Algorithms for emittance evaluation

Use of KV-plane for the emittance estimation

Page 19: Algorithms for emittance evaluation

Use of statistical momentums

Page 20: Algorithms for emittance evaluation

Use of optimal fitting methods

Page 21: Algorithms for emittance evaluation

Use of parametric data fit

Page 22: Algorithms for emittance evaluation

A comparison of different methods

Page 23: Algorithms for emittance evaluation

Errors estimation

Noise added to the data value Errors due to the model simplification Limitation of the parameterized model Limited accuracy of parameters of

involved beam optics elements Non-ideal registration equipment (non-

linearity, aberrations, cross talk,… )

Page 24: Algorithms for emittance evaluation

Typical output of the emittance evaluation results

Page 25: Algorithms for emittance evaluation

Typical preliminary data evaluation in 2-D space

Page 26: Algorithms for emittance evaluation

An example of an interactive tool for 2-D emittance evaluation

Page 27: Algorithms for emittance evaluation

Few nice output plots which good to have for report and publications

-For standalone applications – OpenGL primitives library- To save some time one may use TeeChart- Tools based on MATLAB or MathCAD could be easily adapted to any new ideas. License cost is critical.

Page 28: Algorithms for emittance evaluation

Typical preliminary data evaluatin in 2-D space

Page 29: Algorithms for emittance evaluation

A data manipulation possibilities are always demanded

Page 30: Algorithms for emittance evaluation

The basic evaluation uses only first order integration algorithms

Main calculations in EmitView are executed on the data matrix. Each element of this matrix owned an elementary current. In the assumption that the current density is uniformly distributed on the surface of elementary cell, this current is equal to product Ii,k=Ji,k*dx*dy. Where J is the current density in the phase space coordinates. Thresholds and KV levels are defined as a percentage of the maximum elementary current value.Captured current and KV plane are defined as a part of full current, which is sum of all elementary currents.

RMS emittance for defined KV level is calculated by formula.Statistical parameters for given formula are calculated for current density weighted elementary cells. Only cells with current higher then KV level are taking into account.

Page 31: Algorithms for emittance evaluation

Pepper pot algorithms

- Image processing technique

- Limited spatial resolution

- 4- dimensional phase space

Page 32: Algorithms for emittance evaluation

Pepper-pot ‘classical’ data preparation

EMITTANCE MEASUREMENTS AT THE NEW UNILAC PRE-STRIPPER USING A PEPPER-POT WITH A PC-CONTROLLED CCD-CAMERA. M.Dolinska et al. DIPAC 1999, Chester. UK.

Page 33: Algorithms for emittance evaluation

Noise cancellation

Page 34: Algorithms for emittance evaluation

Local spot filtering

Page 35: Algorithms for emittance evaluation

Parametric nonlinear data fitting

Page 36: Algorithms for emittance evaluation

Image evaluation cycle

Page 37: Algorithms for emittance evaluation

Horizontal profile

Page 38: Algorithms for emittance evaluation
Page 39: Algorithms for emittance evaluation
Page 40: Algorithms for emittance evaluation
Page 41: Algorithms for emittance evaluation
Page 42: Algorithms for emittance evaluation
Page 43: Algorithms for emittance evaluation
Page 44: Algorithms for emittance evaluation
Page 45: Algorithms for emittance evaluation

An example of a heavy ion beam investigation

7kV 10kV 14kV

Beam divergence as a function of applied potential

Page 46: Algorithms for emittance evaluation

An example of a heavy ion beam investigation(2)

Page 47: Algorithms for emittance evaluation

An example of a heavy ion beam investigation(3)

Page 48: Algorithms for emittance evaluation

An example of a heavy ion beam investigation(4)

Page 49: Algorithms for emittance evaluation

Parametric nonlinear data fitting