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Page 1: HES-HKS &  KaoS  meeting

HES-HKS & KaoS meeting

Toshi Gogami

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Contents

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Energy loss simulation by HES,HKS and POSI

1. POSI for beam energy loss– Harver foil is already implemented in this code.– Implemented Raster newly.

2. HKS, HES for K+ and e’ energy loss– Transplant harver foil into these code from POSI.

• バグだし(HES、 HKS)変数の定義の間違え・・・昔からあるようだが。。(POSI)Rasterを入れる際のバグ… .etc

• New ver. GEANT では動かない問題 (HES,HKS)コンストラクターの引数の数、順番G4ThreeVector…..etc日本で解決済

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Beam Energy Loss study

Used Geant4 simulation code “Modified POSI”Water ( + harver ) target in the display

Virtual Detector

TargetGeneration point(Uniform in z-direction)

SIMULATION

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Momentum distribution

Incident beam

After target

H2O (500mg/cm2)+ Harver

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Determination of the value of energy loss

This edge is the peak value which is derived by the fitting results

EDGE

31 keV

Boron , 56.1 mg/cm2

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Water target with Harver foils

EDGE

371 keV

Harver foil effect Water

water

Foil

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Simulation ResultsTarget < 5 MeV < 1 MeV < 0.5 MeV Kawama Toshi7Li184 mg/cm2

160137165

141121157

133115149

133133151

10389118

9Be188.1 mg/cm2

161141170

140122159

132115150

177 (Chen)177138

10590124

10B56.1 mg/cm2

554855

474052

453950

454552

312737

12C112.5 mg/cm2

11197111

9482105

8977100

9089103

665877

52Cr154 mg/cm2

151140127

113101117

10493112

939499

797188

Water + Harver500 mg/cm2

552555547

429434468

251257254

439*1.6442*1.6487*1.6

371373408

Polyethylene450.8 mg/cm2

500436530

406362454

240241244

436*0.8440*0.8502*0.8

349296416

Unit : keV

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Energy Loss scan

• CH2 energy loss ± 20%– How does it effect on the Missing mass– To be reported next week

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Λ cross section from water target

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Λ cross section from water target

Sensitive Nonlinear Iterative Peak (SNIP) clipping algorithm

References:C. G Ryan et al.: SNIP, a statistics-sensitive background treatment for the quantitative analysis of PIXE spectra in geoscience applications. NIM, B34 (1988), 396-402.M. Morháč, J. Kliman, V. Matoušek, M. Veselský, I. Turzo: Background elimination methods for multidimensional gamma-ray spectra. NIM, A401 (1997) 113-132.D. D. Burgess, R. J. Tervo: Background estimation for gamma-ray spectroscopy. NIM 214 (1983), 431-434.

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New Cut efficiency estimation(WC for demonstration)

Real distributionProbability density function (PDF)Imitation dataCut efficiency

K+

p

Nor

mal

ized

N.P

.E

Mass square [GeV/c2]2

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Mass square

Mass square [GeV/c2]2

Nor

mal

ized

N.P

.E Water target

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Normalized N.P.E

Normalized N.P.E

Mas

s squ

are

[GeV

/c2 ]2 Water target

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Seems working well.

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Summary and To do• Summary– Energy loss are estimated

• Smaller than those of Kawama-san• Seeing effect on missing mass when the energy loss is changed ±

20%.– Now cut efficiency estimation method ( KID )

• On progress

• To do– Λ cross section from H2O before leaving Germany.– Matrix tuning

• Better cut• Water • TSpectrum Background subtraction• Definition of chi-square


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