how well can we control detector effects for precision … · 2016-10-04 · foil makes up for most...
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How well can we control detector effects for precisionmeasurements in the HL-LHC period?
Heavy Flavour physics at HL-LHC
Andrea Contuthanks to M.O. Bettler, C. Bozzi, A. Di Canto, F. Dettori, M. Fontana, V. Gligorov, D.Johnson, B. Khanji, U. Langenegger, S. Malde, P. Owen, P. Reznicek, B. Sciascia, F.
Simonetto, M. Whitehead for the input and the useful discussions
CERN
31 Aug 2016 - CERN
Andrea Contu (CERN) Detector effects 31 Aug 2016 1 / 27
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Outline
1 Introduction
2 Core physics program
3 Extending our physics reach
4 Conclusions
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Introduction
Introduction
Very broad subject, difficult to condense
Concentrate on the few benchmark measurements and look atpossible extensions of the current physics program where we can belimited
I assume the theoretical uncertainty will go down where necessary
I will not discuss computing requirements
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Introduction
Luminosity prospects
The LHC is a golden mine for flavour physics
Huge cross sections
σ(pp → B+ + X , 7TeV) ≈ σ(pp → B0 + X , 7TeV) ≈ 40µbσ(pp → B0
s + X , 7TeV) ≈ 10µb [JHEP08(2013)117]σ(pp → cc + X , 13TeV) ≈ 3mb [JHEP03(2016)159]
Unprecedented yields!
LHC era HL-LHC era∫Ldt 2010-12 2015-18 2020-2022 2025-28 2030++
Run I Run II Run III Run IV Run V
ATLAS, CMS 25 fb−1 100 fb−1 300 fb−1 → 3000 fb−1
LHCb 3 fb−1 8 fb−1 23 fb−1 46 fb−1 300 fb−1 (?)
We plan to collect > 100 times the luminosity, statistical uncertainty will shrinkdown..
Will detector performance pose a limit to our hopes?
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Core physics program
Benchmark measurements
For now, assume we can keep at least current detector performances
Let’s consider a list of benchmark measurements
Time dependent: φs from b → ccsRare decays: Bs → µµCKM γ from treesMixing and CPV in charm with D0 → KSππ
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Core physics program
φs
HFAG 2015
Greig Cowan (Edinbourgh) @ HL-LHC 2015
Systematic uncertainties will notbe a problem even in HL-LHC
New vertex detector in ATLASand CMS with reduce materialbudget and better geometry willbe beneficial for B physics(proper time resolution will getcloser to LHCb)
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Core physics program
Bs,d → µµ
No limiting systematics areforeseen
CMS will improve the massresolution thanks to new trackerand focusing on events in thebarrel
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Core physics program
CKM γ (tree level)
LHCb already dominates the world average and will get competitionfrom Belle II
σ(γ) ≈ 4◦ is expected and the end of in Run II, < 1◦ after Run III
No limiting systematics are foreseen from the detector side
Detector asymmetries affect some channels but our present (andfuture, see later) knowledge of those is sufficiently precise1
1One of the dominant modes with D → K 0Sππ is insensitive to B production and K
detection asymmetryAndrea Contu (CERN) Detector effects 31 Aug 2016 8 / 27
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Core physics program
Charm physics
Golden mode D0 → KSππ will still belimited by statistics
Cleverly constructed low systematicobservables (e.g. ∆ACP) can still beconsidered robust
However we would like to measureasymmetries of O(10−6), do ourassumption make still sense (e.g.no-CPV in our control channels..)?
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Core physics program
But can we keep our current performance?
It seems likely that we can keep at least the current performance:
ATLAS and CMS will expand their capabilitiesLHCb will get a significant upgrade of tracking and RICH systemalready in Run IIINew ideas are being investigated concerning the detector requirementsin Run IV (see previous talks)New technologies will probably be needed to cope with radiationdamage and increased occupancy but the direction is clearTrigger strategies will be more software-based to increase S/B andreduce biases (e.g. in lifetime)
The core heavy flavour physics program during HL-LHC looksreasonably safe
But we should not stick to what we can already do
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Core physics program
Where are our limits?
Are there areas where we are currently limited and/or where animprovement could expand significantly our physics reach?
Charge-dependent reconstruction asymmetries
Particle Identification (PID)
Low momentum tracks
Flavour Tagging
e, γ and π0 reconstruction
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Core physics program
Reconstruction asymmetries
When measuring CP asymmetries, detector induced charge-dependentefficiencies must be kept well under control
In charm (and not only) we often rely on zero CPV on CF modes tocorrect for it
For how long we can make this assumption? Do we have alternatives(that do not rely on any assumption)?
Some asymmetries are dealt with by reversing the magnetic field(which is not clear how easy would be to do in HL-LHC) but thingslike particle interactions with the detector material cannot
MC can be trusted up to a certain level but it seems very unlikely wecan use it, also because “full detector simulation” will probably bedropped in favour of parametric ones
Can we think of a data-driven, assumption-free method to measuredetector asymmetries below 10−5?
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Core physics program
Reconstruction asymmetries
We have a method based on the ratio of partial/full reconstruction ofD0 and Λc decays
The decays is kinematically closed even if one of the final stateparticles is missing so a tag and probe approach is used
This method allowed in Run I to measure detection asymmetries ofthe order of 10−4
It is statistically limited so one could envisage reaching O(10−5) inthe HL-LHC
Can we go lower than that?
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Core physics program
Reconstruction asymmetries - prospects
Reaching 10−6 with same method looks hard. Also momentumresolution is not great
One could enhance the statistical power by requiring that the probeparticle must be reconstructed as a VELO segment
However, the asymmetry coming from the VELO, which is knownfrom simulation to be lower than the one coming from downstream,has to be taken from MC
One can play tricks by reconstructing the probe in other ways but it isunclear what could be the ultimate precision
Another way could be to reduce the material in the VELO. The RFfoil makes up for most of the material budget in that region, it will belighter in the upgarde, what about removing it completely?
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Core physics program
PID prospects
Very large calibration samples, statistic is not a problem
2015
Constant improvement on the kinematic coverage
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Core physics program
PID prospects
Uncertainties typically in the range of 1− 0.1% accounting for bothstatistical (mostly from the physics channels) and systematic component
Some systematics are statistical in nature and will be “naturally” reduced(e.g. binning)
Other systematic effects will require the development of specificmethods/tools to be kept under control at the needed level. Typically thiswill also depend on the possibility to generate large statistics MC samples
Muon identification efficiency is less of a priority with respect to the past.More important to keep the mis-ID (particularly π → µ) at the level we havenow but in a much harsher environment. Any departure from this wouldhave serious consequences basically on every rare decay search. However,initial studies (at least in LHCb) look very promising (link)
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Extending our physics reach
Extending our physics reach
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Extending our physics reach
PID prospects
Poor PID at low momenta already limits analysis of final states with alarge number of tracks (≥ 6)
PID could be extended at lowmomentum (< 10GeV) in LHCbby measuring the TOF thanksto the TORCH detector
Some benefit also for flavourtagging
Also ATLAS and CMS are considering using some dedicated timingdetector and/or timing information in the tracker to have some K/πseparation (will GPDs be able to join LHCb in some fully hadronicchannel?)
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Extending our physics reach
Low momentum tracks
Currently we “throw away” a significant fraction of signal involvinglow momentum particles (few GeV) because it escapes the acceptancein the dipole regionStudies of high multiplicity final states, low mass strange hadrondecays and in general decays with a soft track would greatly benefitfrom additional tracking stations in the magnet regionFrom preliminary studies, a (40± 20)% percent yield increase,depending on the decay channel, is expected
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Extending our physics reach
Flavour tagging
FT is crucial in B physics and every bit of performance is welcomesince has a direct impact on the sensitivity
The impact of systematic erros in the FT calibration (includingasymmetries) depends on the channel but it is in general found to bemuch smaller than the statistical uncertainty
Although we are doing a great job at the LHC, even at LHCb we area factor ∼ 6 away from the performance achievable at the B factories
Fortunately, there is still a great potential to be exploited:
By being clever and implement better tagging algorithms. In theLHCb’s B0 → D+D− analysis [arXiv:1608.06620] we achieved a 8%tagging efficiency thanks to a very performant new SS pion taggerBy having a detector more “tagging friendly” → reconstruct verylow momentum tracks. Promising studies are being performed tounderstand how much can be gained here (I do not have numbers but Ibet on a double-digit percentage relative improvement)
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Extending our physics reach
Flavour tagging - prospects
What can be done with a FT efficiency > 10%
Scale better than luminosity in our time dependent analyses
Tagging what today is “untaggable”, for example
Bs → φγBs → φµµB0 → µµ...
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Extending our physics reach
e, γ and π0 reconstruction
ECAL invaluable for some of the most exciting results in Run I
In particular LFU is currently one of the ”hot topics“ in flavour physics
Despite all this, analyses using calorimeter objects are relatively rare:
Lower efficiency, only 20% compared to channels with µ instead of e orπ± instead of π0
Poorer mass resolution which also translates into large backgroundsTrigger efficiency difficult to understand
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Extending our physics reach
e, γ and π0 reconstruction
An improved calorimeter in LHCb would basically allow to “double”our physics program:
Hadronic channels with π0sSemileptonic decays with electronsNew radiative channelsBetter performance for low dielectron masses
New technologies are being investigated, particularly for the innerregion
Better energy resolution is unlikelyReducing Moliere radius to fight pile-upPosition resolution could improve with better granularityTiming information?
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Extending our physics reach
(Why just) e, γ and π0 reconstruction (?)
LHCb’s unique coverage would allow for some other interestingphysics
Need to increase the dynamic energy range
Feasible but not really compatible with what said previously...
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Extending our physics reach
Strange physics
Despite not being optimised for strange physics, LHCb showed a greatpotential in Run I with the best limit on the K 0
S → µµ decay
Acceptance is not optimal but, being at an hadronic machine, strangemeson production is enormous (through simple hadronisation)
Although improved capabilities on low momentum tracks would help,there are not stringent limitations from the detector side
Being produced at very low pT , the efficiency of collecting strangehadrons depend more on the trigger strategy (and availablebandwidth)A fully software trigger will dramatically increase the reconstructionefficiency and open a new area, where we may compete withdedicated experiments in some channels:
K 0S → π0ll
K 0S → π + π−e+e−, K 0
S → π + π−e+e−
K± → π±llStrange baryons
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Extending our physics reach
The role of Charm
Besides being interesting per-se,charm physics is a training ground forB physics: the charm yields of todayare the beauty yields of tomorrow
Many challenges we will face in the B case have been alreadyencountered or will be encountered soon in charm physics
In particular, the understanding of detector asymmetries is essentiallydriven by charm physics
We may not have all the answers now, but charm is a powerful tool toget them
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Conclusions
Conclusions
Many challenges ahead to keep our current performance in HL-LHC
This seems an achievable goal although we must keep an eye onreconstruction asymmetries
Currently we are limited in some areas (low momentum tracks andcalorimeter objects) which could significantly extend our physics reach
It would be a pity not to exploit our full potential
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