HES-HKS & KaoS meeting Toshi Gogami. Contents Energy loss simulation by HES,HKS and POSI 1.POSI for beam energy loss – Harver foil is already implemented.

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Presentation transcript:

HES-HKS & KaoS meeting Toshi Gogami

Contents

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

Beam Energy Loss study Used Geant4 simulation code “Modified POSI” Water ( + harver ) target in the display Virtual Detector Target Generation point (Uniform in z-direction) SIMULATION

Momentum distribution Incident beam After target H 2 O (500mg/cm 2 )+ Harver

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/cm 2

Water target with Harver foils EDGE 371 keV Harver foil effect Water water Foil

Simulation Results Target< 5 MeV< 1 MeV< 0.5 MeV KawamaToshi 7 Li 184 mg/cm Be mg/cm (Chen) B 56.1 mg/cm C mg/cm Cr 154 mg/cm Water + Harver 500 mg/cm * * * Polyethylene mg/cm * * * Unit : keV

Energy Loss scan CH 2 energy loss ± 20% – How does it effect on the Missing mass – To be reported next week

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), M. Morháč, J. Kliman, V. Matoušek, M. Veselský, I. Turzo: Background elimination methods for multidimensional gamma-ray spectra. NIM, A401 (1997) D. D. Burgess, R. J. Tervo: Background estimation for gamma-ray spectroscopy. NIM 214 (1983),

New Cut efficiency estimation (WC for demonstration) Real distribution  Probability density function (PDF)  Imitation data  Cut efficiency K+K+ p Normalized N.P.E Mass square [GeV/c 2 ] 2

Mass square Mass square [GeV/c 2 ] 2 Normalized N.P.E Water target

Normalized N.P.E Mass square [GeV/c 2 ] 2 Water target

Seems working well.

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 H 2 O before leaving Germany. – Matrix tuning Better cut Water TSpectrum  Background subtraction Definition of chi-square