Analysis with nanoDSTs

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Presentation transcript:

Analysis with nanoDSTs Making nanoDSTs Scheme Last improvements Analyzing nanoDSTs Current procedure Analysis Framework : MWGana A new macro for background estimation 18/06/03 F. Fleuret - LLR

Analysis with nanoDSTs NanoDST scheme 2 Ttrees : T1  run information : 1 entry per selected run T  event information : 1 entry per selected event TrigLvl1 node PHGlobal node : Zvertex, BBC, ZDC, run number, … PHMuoTracks node : Muon (and dimuon) tracks information Guideline : Keep It Small & Simple Add variables and information within one of the existing nodes Don’t add node unless it’s necessary 18/06/03 F. Fleuret - LLR

Analysis with nanoDSTs Last improvements Add a branch for mutoo (Chun & Sean) Changes for fun4all (Vi-Nham & Fred) Add Fcal (MVD?) info (Jane) Add dMuiPseudoTrigger info (Hiroki) Memory leak investigation (Jason) For fun4all For mutoo Old framework Fun4all troubles : lost cuts on tracks no output track’s cut information New framework 18/06/03 F. Fleuret - LLR

Analysis with nanoDSTs Current analysis procedure Produce nanoDSTs : DSTs nanoDSTs (nanoDSTs size / DSTs size < 0.2 %) Produce ntuple with analyze.C : A compiled macro. Few minutes to go thru all nanoDSTs. Output = a root ntuple. Produce plots with plots.C : A root macro. Less than a minute to go thru data. No specific library to be loaded. 18/06/03 F. Fleuret - LLR

MWGana Analysis framework proposal « CVSify » the analysis code Analyze/ analyze.C makefile Dimuons/ dimuons.h background.h Singlemuons/ Plots/ plots.C analyze.C Access the nanoDSTs Create output ntuples Provide various information dimuons.h (TChain* T, TNtuple* ntuple) Apply event selection Apply particle selection Fill dimuons ntuple background.h (TChain* T, TNtuple* ntuple) Build background spectra Fill background ntuple 18/06/03 F. Fleuret - LLR

Background estimation Study of the Background coming from p‘s (main source) and K’s decays. So far : Nsignal = N+- - (N++ + N--) dN/dMmm Goal : Use single m events to estimate the background Mmm Mmm 18/06/03 F. Fleuret - LLR

A new background estimation Material : Real data Sample : pp 2002 Event Selection : 2 m trigger (1 deep + 1 shallow) | ZBBC | < 38 cm Statistics : Events w/ at least 2 tracks : 455 m+m- / 202 m+m+ / 108 m-m- Events w/ 1 track only : 25658 single m+ / 17782 single m- Create fake dimuons samples : Pick randomly 10000 single m events from the 43440 single m events sample Create combinatorial dimuons from these 10000 single m events, with | ZBBC1 – ZBBC2 | < 5cm  ~ 6 M 2m 18/06/03 F. Fleuret - LLR

A new background estimation Likesign dimuons Mass spectra true dimuons : N++/N-- = 1.87 ± 0.31 fake dimuons : N++/N-- = 1.952 ± 0.003 m+m+ m+m+ dN/dMmm Mmm Mmm m-m- m-m- Mmm Mmm 18/06/03 F. Fleuret - LLR

A new background estimation Fake dimuons Spectra’s shapes dN/dMmm m+m+ m+m+ / m+m- Mmm Mmm m-m- m-m- / m+m- Mmm Mmm m+m- m+m-  m+m+ + m-m- Mmm 18/06/03 F. Fleuret - LLR

A new background estimation Fake dimuons Opposite signs .vs. Like signs Fake dimuons : N++, N--, N+- known dN/dMmm m+m+ Mmm m-m- Mmm N+- = 0.955 x (N++ + N--) m+m- Mmm 18/06/03 F. Fleuret - LLR

A new background estimation Normalisation with true dimuons m+m+ N+- = 0.955 x (N++ + N--) = 0.955 x (202 + 108)= 296.05 dN/dMmm Mmm m-m- Mmm Use numbers of true m+m+ and true m-m- to normalize the fake m+m- spectrum m+m- Mmm 18/06/03 F. Fleuret - LLR

A new background estimation Bkg’s shape : m+m-  m+m+ + m-m- Bkg’s integral : N+- = 0.955 x (N+++N--) Use of fake dimuons spectrum Normalisation with true likesign dimuons dN/dMmm Mmm Mmm Mmm Mmm 18/06/03 F. Fleuret - LLR

Analysis with nanoDSTs : summary Making nanoDSTs in progress… Analyzing nanoDSTs CVSify the code : comments, suggestions ? A new macro for background estimation : to be included in MWGana… 18/06/03 F. Fleuret - LLR

Background estimation single m Momentum’s spectra m+ m- Pm m+ / m- Pm 18/06/03 F. Fleuret - LLR