Getting the Lumispectrum from Bhabha events - PowerPoint PPT Presentation

1 / 15
About This Presentation
Title:

Getting the Lumispectrum from Bhabha events

Description:

Essential for all threshold scans at LC. Best possible mass ... Convolute fit basis luminosity spectra with linac energy spread function fBS(x) Fit results ... – PowerPoint PPT presentation

Number of Views:56
Avg rating:3.0/5.0
Slides: 16
Provided by: stewart1
Category:

less

Transcript and Presenter's Notes

Title: Getting the Lumispectrum from Bhabha events


1
Getting the Lumi-spectrum from Bhabha events
  • Stewart Boogert and David Miller
  • University College London
  • ALCPG, IPBI/IR/MDI session, Victoria
  • 29th July 2004

2
Next 20 mins
  • Talk outline
  • Bhabha acollinearity
  • Simulation
  • Reconstruction performance
  • Fitting Luminosity spectrum
  • Unfolding
  • Top threshold
  • Conclusions
  • Luminosity spectrum
  • Essential for all threshold scans at LC
  • Best possible mass measurements of mt, MW or
    mSUSY
  • Requires detailed understanding of dL/d?s
  • Top threshold as reference
  • ?mt?50-100 MeV (see Heinermeyer et al.)
  • ?mt/mt ? 3. 10-4

3
Sources of energy variation
  • Three source of energy variation
  • Linac energy spread
  • Typically 0.1
  • Gaussian(?!) shape
  • Beamstrahlung
  • 0.7 at 350 GeV
  • 1.7 at 800 GeV
  • Initial state radiation
  • Calculable to high precision in QED
  • Complicates measurement of beamstrahlung

4
Bhabha acollinearity
  • Bhabha (ee-?ee-n(?))
  • High rate
  • Simple final state
  • Angular reconstruction
  • Calorimeter resolution insufficient to measure
    dL/d?s
  • Assuming
  • Single photon radiation
  • Linac energy spread
  • Can have ?s gt?s (xtgt1)
  • But only measure xmlt1 as Bhabha acollinearity
    only sensitive to ?p.
  • (but can sign x)
  • Luminosity weighted

5
Bhabha simulation
  • Beam simulation
  • Circe/Guinea-Pig (modified)
  • Accelerator simulation (G. White) Beam
    collision simulation
  • E0175 GeV, simple scaling of accelerator
    parameters.
  • Guinea-Pig
  • TESLA TDR parameters scaled appropriately by
    energy (500 ?350GeV)
  • Bhabha scattering
  • BHWIDE (350 GeV, ?gt7?)

6
Reconstruction performance
  • Reconstruction of luminosity spectrum (xm)
  • Reasonable agreement
  • Definition of xt problematic due to overlap
    between ISR/FSR (future study FS)
  • Difference between measured and true most serious
    close to x1.
  • Mean shift ltxm-xtgt
  • 16.05?10-4
  • Large due to asymmetric tails in xm-xt

7
Reconstruction performance (2)
  • Failures/problems of the reconstruction
  • Multiple photon radiation
  • ISR/FSR factorisation
  • (calo. vs tracking. FS)
  • Relationship between xt and xm quite complicated
  • Two methods being investigated _at_ UCL to extract
    the lumi spectrum
  • Beamstrahlung parametrisation fitting
  • Unfolding whole luminosity spectrum

Log z scale, looks worse than is
8
Fitting beamstrahlung parameters (Moenig)
  • Based on Circe
  • Initial (default) parameters (350 GeV Tesla)
  • a00.5461
  • a1 normalisation condition
  • a220.3
  • a3-0.6275
  • Shift parameters by ?ai0.2, 0.5, 0.2
    respectively
  • passed through BHWIDE, histogrammed (shown right
    fit basis)
  • Compute spectrum at a given parameter point using

9
Beamstrahlung fit results
  • Form usual ?2
  • Fit Bhabha results without beam spread
  • Recovers original Circe parameters with high
    precision
  • Fit to 350 GeV TESLA Guinea-Pig sample
  • a00.612 ? 0.001 (0.5461)
  • a219.39 ? 0.17 (20.3)
  • a3 -0.594 ? 0.003 (-0.6275)

10
Fit including linac energy spread
  • Including beam spread
  • Convolute fit basis luminosity spectra with linac
    energy spread function fBS(x)
  • Fit results
  • Fit of Circe with 0.1 spread
  • a0,2,3 consistent within statistical error with
    the no-spread values
  • ?BS 0.976 10-4
  • Fit of Guinea-Pig with 0.1 spread
  • a0 0.618 (0.612?0.001)
  • a2 17.83 (19.39 ?0.17)
  • a3 -0.609 (-0.594? 0.003) but
  • ?BS 1.004 10-4

11
Unfolding luminosity spectrum
  • Process of measurement
  • xmAxt (Aresponse matrix)
  • Extracting xt from xm
  • Many different methods exist.
  • Inversion of A
  • xtA-1xm
  • Problematic when As elements have statistical
    errors.
  • Regularisation term (?) to minimise bin-bin
    variation
  • Packages exist
  • GURU
  • Singular Value Decomposition

A
12
Unfolding given beam spread
  • Simple study (UG student _at_ UCL D. Turner)
  • 500 GeV TDR Tesla
  • Gaussian beam spread ?BS0.1
  • Data binned with variable bin width to minimise
    curvature of dL/dx
  • Careful choice of regularisation parameter (?)
  • Concentrate on peak region
  • Unfold consistent set of data (xmAxt)
  • Try to recover xt

measured
true/unfolded
13
Unfolding signed x
  • Avoid lack of data at xmgt1
  • Give sign to xm and xt based on sign of ?A
  • Avoids the problem of the cliff at x1
  • For further study
  • Signed x sensitive to asymmetry between beams
  • Expect more stable extraction of spectrum
  • Could also use signed x in fit

measured
true/unfolded
14
Effect on the top threshold
  • Results from talk in Top and QCD session
  • Effect of ISR and beamstrahlung only gives a
    shift of 50 MeV
  • Next step to include linac energy spread on top
    threshold based on methods described above

15
Summary and conclusions
  • Conclusions
  • Fitting seems to work
  • Recover beam spread for Circe and Guinea-Pig
  • Problems with other Guinea-Pig parameters with BS
  • Needs further study.
  • Unfolding seems to work with beam spread
  • Careful choice of binning and regularisation
    parameter
  • Signed x promising
  • Future direction and work
  • Fitting
  • Better luminosity spectrum interpolation
  • Ready to implement luminosity spectrum
    parametrisation on top threshold
  • Unfolding
  • Must complete study by unfolding x with
    independent MC samples.
  • Signed x studies
Write a Comment
User Comments (0)
About PowerShow.com