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prospect for Bc->BsPi II (Bs->DsPi). tomoyo fukami @BMLCPV(2008/7/29). 目次. method signal & background cut plot backgound estimation conclusion. method. mode Bc->BsPi->DsPi->PhiPi Bc->BsPi->DsPi->K*K Bc->BsPi->DsPi->3Pi
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prospect for Bc->BsPi II(Bs->DsPi) tomoyo fukami @BMLCPV(2008/7/29)
目次 • method • signal & background • cut • plot • backgound estimation • conclusion
method • mode • Bc->BsPi->DsPi->PhiPi • Bc->BsPi->DsPi->K*K • Bc->BsPi->DsPi->3Pi • using momentum and vtx , reconstruct track(K,Pi) in order of Ds mass -> Bs mass ->Bc mass • data(signal : MCandbkg : Data (two track trigger))
signal & background • signal : Bc->BsPi • bkg : • Bc->Bslνπ • Bc->Bs*π->Bsγ • Bc->BsK • P.V. Bs+π • fake Bs Bc BranchingFluction →use sideband data for bkg
cut parameters • pre selection Philipp Mack ph.D thesis IEKP-KA/2007-10(2007)
cut parameters • BOX cut
plots K*K Bc->BsPi only Vtx construct required preselection cut base PhiPi 3Pi
K*K 3σ PhiPi 3Pi consideration • we estimated the number of signal and background (asBc,Bs*Pi,other) in signal window. M(Bc)-M(Bs) gauss fit mean±3σ: signal window
asBc background 1 K*K asBc : PV Bs but able to reconstruct Bc combinatoraliy with a pion in fragmentation. after pre selection cut PhiPi 3Pi
asBc background 2 K*K asBc : PV Bs but able to reconstruct Bc combinatoraliy with some pion. after BOX cut PhiPi 3Pi
calculation of n(expected)after pre selection cut • Philipp Mack ph.D thesis IEKP-KA/2007-10(2007) how many events (Bc->BsPi)are obserbed ? and how many events (asBc bkg)are observed? εis obtained from MC the number of event in signal window
conclusion • The “asBc” background is enough small after applying pre selection cut • Bc->BsPi :”asBc” type background event is nearly negligible in DsPi mode.
plan summary • we checked the efficiency of the BOX cut of Bc->BsPi->DsPi->PhiPi(,K*K,3Pi). • we estimated the effect of “asBc” type background after applied by pre selection -> negligible • we estimated the effect of “BsX” type background after applied by preselection -> negligible • combinatorial background looks dominant • estimation of other combinatorial background. • To reject combinatorial background using NN(well known).
consideration • signal Bcのmass window でのasBc(bgd)の割合について M(Bc)-M(Bs)の gauss fit *出来ればプロットと、パラメータをROOTで出力
back ground について • signal に関与しない領域(sideband)のDataをもちいてback ground とする。 signal sideband
introduction • QCD, EW の良いテストベンチ(quarkonium以外で唯一の heavy quark ふたつから成る粒子) • QCD計算モデルの検証(特にクオークの束縛状態モデルや、重いクオーク系での有効理論の検証) • 質量 • 寿命 etc… • 各終状態への相対崩壊分岐比 • 理論の検証や上記物理量の抽出に重要。 • 理論予測ではBc->BsX に次いで大きな分岐比を持つが、未発見 • Bs振動やCP位相安定性の測定に用いる、Bsフレーバー同定のためのBs寿命測定への影響を正しく考慮できる
asBc background K*K asBc : PV Bs but able to reconstruct Bc combinatoraliy with a pion in fragmentation. after pre selection cut PhiPi 3Pi