It was suggested to use real data for background distribution.
SPD kAny x kFirst
Include comparison of yields using a fix value for mean and sigma, in order to reduce influence of fit in the comparison.
PID nSigma:
Try to understand behaviour with TOF only + topological cuts.
Check pt distribution (and ) of prongs after TOF only selection.
Check the results using other topological cuts, except pt leg cut.
Another suggestion --> Use TOF up to something like 1.5 to 1.8 GeV/c and TPC for the rest.
Check LHC13b -- pass2 x pass3
Start analysing efficiencies (maybe first try in the train of 29/11/2013)
After Discussion with Rossella (Monday, 11/11/2013)
Check last train results (results are ready by now, there was some delay due to some problem with one GRID site)
Train 106 (November 5th) failed for some troubles with one site
Train 107 (November 8th) same train as 106. Outputs ready. (to be checked soon)
Nsigma PID cuts -- To be checked with the lego train results
Simple Nsigma cut --> To be checked in the results of train 107. At first glance, Bkg is enormous
Two new methods --> They will be tested in the next train
Simulation. Outputs ready. Ongoing analysis
The different variables distribution: For signal and for bkg.
Pt cuts variation (specially for the proton)
Determine best cuts soon --> So that efficiencies and systematics can be extracted as soon as possible.
Ask Chiara for a change in how the systematics are estimated
Variation of signal extraction according to the bin variation.
Make an appointment with Andrea, in order to discuss about future analyses for the ITS upgrade.
After Meeting November 5th:
pt cuts to be smoothly changed
Based on previous results (pp collisions), cut on proton pt should be greater than the cut for pions and Kaons.
Check pt leg distributions using Simulation (maybe only on Decayer level). Done D2H 15/11/2013
October 2013:
After meeting October 31th
pt cuts to be smoothly changed, especially for kaons, in contrast with abrupt changes used for the results presented in the meeting.
In principle, if it is not possible to loose some of the cuts (or make them more consistent with the Lc pt), I will try to understand and prove why they should be as they are. done(presented in November 5th)
DCA, CosPointingAngle --> Same as above done(presented in November 5th)
Retuning of cuts when the SPD kFirst cut is applied to the tracks Postponed
We need some care here, because one needs to verify whether SetNClusterITS should be also changed.
Compare mean and sigma attained with the invariant mass fit with the results from Simulation (also for ITS kFirst).
Use PID nSigma cut for comparison purposes Postponed
Besides, use new strategies implemented by Francesco, that is, circular cut (TPC and TOF) and also "AND" cut TPC and TOF.
Show the distributions of the cutting variables with different PID strategies. Postponed
Use Lego Train. (first 3 wagon created) --- for some reason the task crashed with trunk (that's why it is not in Friday's Lego)Solved (first train in November 5th)
SPD kAny and SPD kFirst --> In principle, SPD has less dead zoned in 2013. This could motivate a more strict selection. (first studies done)
PIDCombined --> New selection for pPb (AliRDHFCutsLctopKpi::kCombinedpPb), already implemented by Rossela.
SPD kAny (first studies done)
SPD kFirst (first studies done)
PIDCombined2 --> New selection based on Audrey studies (AliRDHFCutsLctopKpi::kCombinedpPb2), already implemented by Rossela. (submitted to the GRID with SPD kany) (outputs ready)