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HES-HKS & KaoS meeting

HES-HKS & KaoS meeting. 16Apr2012 Toshi Gogami. Things to do (4/2, last meeting). Before HES-HKS collaboration meeting (5/9) More reliable initial matrix for old SPL + ENGE New GEANT (almost done) + better TOSCA calculation Missing mass Kawama and Chunhua matrices HES tracking code

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HES-HKS & KaoS meeting

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  1. HES-HKS & KaoS meeting 16Apr2012 Toshi Gogami

  2. Things to do (4/2, last meeting) • Before HES-HKS collaboration meeting (5/9) • More reliable initial matrix for old SPL + ENGE • New GEANT (almost done) + better TOSCA calculation • Missing mass • Kawamaand Chunhua matrices • HES tracking code • Chi square distribution, residuals, x-t relation….

  3. Original sourcesof matrices • Chunhua matrix (ifarml64 : /w/hallc/hes-hks/chench/e05115/latestversion/trunk/e05115replay/paw/rootdat/) reconData_chen.dat HKSTt.dat HESTt.dat HKS_mom_9.dat HKS_xpt_18.dat HKS_ypt_18.dat hks_coeff_s2t_tuned_xpt33.dat hks_coeff_s2t_tuned_ypt33.dat hks_coeff_t2s_tuned_xs_i2t6.dat hks_coeff_t2s_tuned_ys_i2t6.dat HES_mom_9.dat HES_xpt_18.dat HES_ypt_18.dat hes_coeff_s2t_tuned_xpt1.dat hes_coeff_s2t_tuned_ypt1.dat hes_coeff_t2s_tuned_xs_t53.dat hes_coeff_t2s_tuned_ys_t53.dat momR_19Dec10.dat xptR_19Dec10.dat yptR_19Dec10.dat momR_30Dec10.dat xptR_30Dec10.dat yptR_30Dec10.dat • Kawama matrix (farm : /data/12a/work/mtune/mm/20120322) reconData.dat HKSTt.dat HESTt.dat HKS_mom_0.dat HKS_xpt_0.dat HKS_ypt_0.dat mom6_103b.dat xpt6_chenb.dat ypt6_chenb.dat HES_mom_0.dat HES_xpt_0.dat HES_ypt_0.dat xss4_chen.dat xss4_chen.dat yss4_chen.dat yss4_chen.dat momR_11Jul11.dat xptR_11Jul11.dat yptR_11Jul11.dat momR_11Jul11.dat xptR_11Jul11.dat yptR_11Jul11.dat 3/22 ver. 4/7 ver. farm : /home/gogami/replay/root/krd_kawama /home/gogami/replay/root/krd_chen

  4. CH2 target (Λ,Σ0) Kawama Chunhua

  5. 12C(e,e’K+)12ΛB --20μA Kawama Chunhua

  6. 12C(e,e’K+)12ΛB --35μA Kawama Chunhua

  7. 12C(e,e’K+)12ΛB --total Kawama Chunhua

  8. CH2 target --Kawama matrix ~Lambda~     Number : 6580.73     Mean   : 56.4924 +- 18.7839 [keV/c2]     ( Delta Mean : 56.4924 +- 18.7839 [keV/c2] )     Width  : 1815.65 +- 49.371 [keV/c2]  ~Sigma~     Number : 1522.87     Mean   : 77308.9 +- 61.2033 [keV/c2]     ( Delta Mean : 349.874 +- 61.2033 [keV/c2] )     Width  : 2206.7 +- 183.573 [keV/c2] Fitting function : B : Half width at half maximum C : Center value peak background

  9. CH2 target --Chunhua matrix  ~Lambda~     Number : 6402.57     Mean   : 28.5527 +- 19.7152 [keV/c2]     ( Delta Mean : 28.5527 +- 19.7152 [keV/c2] )     Width  : 1937.59 +- 52.1221 [keV/c2]  ~Sigma~     Number : 1688.07     Mean   : 76809.3 +- 42.7735 [keV/c2]     ( Delta Mean : -149.659 +- 42.7735 [keV/c2] )     Width  : 1848.15 +- 121.343 [keV/c2] Fitting function : B : Half width at half maximum C : Center value peak background

  10. Background free Λ+ Σ0 Λ Σ0

  11. Back ground estimation Optimal scaling factor  1.08 Scaling factor : 1. Black + (Green × scaling factor) = Blue

  12. Background free Λ+ Σ0 Optimal scaling factor  1.08 Scaling factor : 1. Black + (Green × scaling factor) = Blue

  13. Peak shape  Resolution Double Gaussian function (common mean value) Effective momentum and angular resolution estimation

  14. Λ peak shape simulation farm : /home/gogami/mmreso/test/*

  15. Λ peak shape simulation • farm : /home/gogami/mmreso/mapcreate/ • input/inputinput.dat name: n min max dkmom: 10 0.40 0.70 demom: 10 0.40 0.70 dpep: 1 0.0 0.0 dxpe: 10 0.003 0.07 dype: 10 0.003 0.07 dxpk: 10 0.003 0.07 dypk: 10 0.003 0.07 • map/*.dat 106 ~7h 30min 0.4 0.4 0 0.003 0.003 0.003 0.003 1136.95 62.2773 0.013815 0.00581077 0.48173 0.018226 710.893 64.7284 -0.909529 0.0183565 1.06991 0.4 0.4 0 0.003 0.003 0.003 0.0097 735.302 22.6226 0.0278174 0.00990062 0.682892 0.0240754 395.178 21.99 1.73221 0.0313323 1.81556 0.4 0.4 0 0.003 0.003 0.003 0.0164 461.425 16.6996 0.0200941 0.0141839 0.683669 0.0352735 364.525 14.6668 2.31512 0.0449671 2.05668 0.4 0.4 0 0.003 0.003 0.003 0.0231 343.718 14.7361 0.00193672 0.017612 0.632049 0.0382774 329.014 10.4971 2.73177 0.0564709 1.57471 0.4 0.4 0 0.003 0.003 0.003 0.0298 282.337 13.3081 -0.00901041 0.0207394 0.622141 0.0377745 288.371 8.51956 3.09553 0.0743135 1.32939 0.4 0.4 0 0.003 0.003 0.003 0.0365 238.475 12.0498 -0.0258294 0.0243666 0.66159 0.0419512 251.026 7.83696 3.48356 0.105991 1.07617 0.4 0.4 0 0.003 0.003 0.003 0.0432 249.337 44.553 -0.0594044 42.9827 1.28346 42.9817 128.575 3.44598 11.8734 34.3249 3.12312 0.4 0.4 0 0.003 0.003 0.003 0.0499 179.922 10.5019 -0.0596155 0.031307 0.727213 0.0544354 205.166 7.3763 4.01541 0.174289 1.13132 0.4 0.4 0 0.003 0.003 0.003 0.0566 160.694 10.0187 -0.0622804 0.0353222 0.788063 0.0669398 185.386 7.93762 4.3488 0.254397 1.22643 0.4 0.4 0 0.003 0.003 0.003 0.0633 145.992 9.57812 -0.0720582 0.0391808 0.862297 0.0857804 168.534 8.91967 4.62642 0.354866 1.59048 0.4 0.4 0 0.003 0.003 0.0097 0.003 735.302 22.6226 0.0278174 0.00990062 0.682892 0.0240754 395.178 21.99 1.73221 0.0313323 1.81556 0.4 0.4 0 0.003 0.003 0.0097 0.0097 559.205 18.5343 0.026892 0.0123575 0.710945 0.0308916 370.89 17.4504 2.09841 0.0402037 1.82797 0.4 0.4 0 0.003 0.003 0.0097 0.0164 408.707 15.7132 0.0148794 0.0155444 0.678922 0.0376676 348.718 13.1958 2.48793 0.0508756 2.23587 0.4 0.4 0 0.003 0.003 0.0097 0.0231 327.007 14.2384 -0.000618676 0.0185102 0.630846 0.0393114 314.12 10.0827 2.87254 0.0651054 1.69757 0.4 0.4 0 0.003 0.003 0.0097 0.0298 274.424 12.9119 -0.0129994 0.021612 0.643922 0.0384011 275.89 8.49618 3.22367 0.0851954 1.30109 0.4 0.4 0 0.003 0.003 0.0097 0.0365 230.198 11.7022 -0.0294152 0.0252551 0.676558 0.0436447 245.511 7.72625 3.56193 0.113013 0.921373 0.4 0.4 0 0.003 0.003 0.0097 0.0432 200.757 11.158 -0.0471632 0.0282475 0.681907 0.0476153 223.73 7.33005 -3.80291 0.140066 0.989205 0.4 0.4 0 0.003 0.003 0.0097 0.0499 178.553 10.432 -0.0578157 0.0318367 0.734529 0.0566182 201.522 7.51054 4.10289 0.191129 1.07113 0.4 0.4 0 0.003 0.003 0.0097 0.0566 158.619 9.94141 -0.0643651 0.0351864 0.780363 0.0662089 185.136 7.77406 4.31318 0.242637 1.20667 0.4 0.4 0 0.003 0.003 0.0097 0.0633 145.852 9.71276 -0.0804583 0.0397074 0.884732 0.0875805 165.008 9.21419 4.81632 0.416109 1.10697 0.4 0.4 0 0.003 0.003 0.0164 0.003 461.425 16.6996 0.0200941 0.0141839 0.683669 0.0352735 364.525 14.6668 2.31512 0.0449671 2.05668 0.4 0.4 0 0.003 0.003 0.0164 0.0097 408.707 15.7132 0.0148794 0.0155444 0.678922 0.0376676 348.718 13.1958 2.48793 0.0508756 2.23587 0.4 0.4 0 0.003 0.003 0.0164 0.0164 344.965 14.6782 0.00250419 0.0174057 0.632748 0.0387156 329.53 10.5486 2.7286 0.0563358 1.51398 0.4 0.4 0 0.003 0.003 0.0164 0.0231 296.617 13.5968 -0.00747679 0.0200443 0.618438 0.0372802 297.382 8.86821 3.01668 0.0701692 1.35884 0.4 0.4 0 0.003 0.003 0.0164 0.0298 252.95 12.496 -0.0149064 0.0230134 0.647766 0.0409661 264.219 8.12861 3.35414 0.09297 1.05899 0.4 0.4 0 0.003 0.003 0.0164 0.0365 218.092 11.6056 -0.0329289 0.026141 0.671033 0.0443387 239.295 7.55286 -3.59913 0.116602 1.01554 0.4 0.4 0 0.003 0.003 0.0164 0.0432 213.02 34.8997 -0.0589881 34.4189 0.907231 34.4183 172.055 2.75069 5.33432 34.3625 1.85384 0.4 0.4 0 0.003 0.003 0.0164 0.0499 172.693 10.0795 -0.0626038 0.0326597 0.767304 0.0605083 194.587 7.69947 -4.26066 0.22257 1.05311 0.4 0.4 0 0.003 0.003 0.0164 0.0566 157.577 9.85115 -0.0667727 0.0363418 0.819566 0.0728774 177.655 8.34035 4.54157 0.305479 1.0442 0.4 0.4 0 0.003 0.003 0.0164 0.0633 142.105 9.81784 -0.0920058 0.0408565 0.899914 0.089812 163.04 9.41711 4.78798 0.426997 1.14346

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