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HES-HKS & KaoS meeting

HES-HKS & KaoS meeting. Toshi Gogami. Contents. Energy loss simulation by HES,HKS and POSI. POSI for beam energy loss Harver foil is already implemented in this code. Implemented Raster newly. HKS, HES for K + and e’ energy loss Transplant harver foil into these code from POSI.

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HES-HKS & KaoS meeting

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  1. HES-HKS & KaoS meeting ToshiGogami

  2. Contents

  3. Energy loss simulation by HES,HKS and POSI • POSI for beam energy loss • Harver foil is already implemented in this code. • Implemented Raster newly. • 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

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

  5. Momentum distribution H2O (500mg/cm2)+ Harver Incident beam After target

  6. Determination of the value of energy loss Boron , 56.1 mg/cm2 EDGE This edge is the peak value which is derived by the fitting results 31keV

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

  8. Simulation Results Unit : keV

  9. Energy Loss scan • CH2 energy loss ± 20% • How does it effect on the Missing mass • To be reported next week

  10. Λ cross section from water target

  11. Λ cross section from water target 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. Sensitive Nonlinear Iterative Peak (SNIP) clipping algorithm

  12. New Cut efficiency estimation(WC for demonstration) K+ p Normalized N.P.E Mass square [GeV/c2]2 • Real distribution • Probability density function (PDF) • Imitation data • Cut efficiency

  13. Mass square Water target Normalized N.P.E Mass square [GeV/c2]2

  14. Normalized N.P.E Water target Mass square [GeV/c2]2 Normalized N.P.E

  15. Seems working well.

  16. 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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