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Event Filter and Trigger Menu L=1031

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Event Filter and Trigger Menu L=1031 Sergio Grancagnolo on behalf of the Muon Trigger software group TrigMoore Seeding Algorithms assume the seed is from LVL2 or a ... – PowerPoint PPT presentation

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Title: Event Filter and Trigger Menu L=1031


1
Event Filter and Trigger MenuL1031
  • Sergio Grancagnolo
  • on behalf of the Muon Trigger software group

2
TrigMoore
  • Two different running modes
  • Seeded
  • Reconstruction performed only in the geometrical
    regions provided by the RoIs of previous levels.
  • Full scan
  • Full reconstruction, equivalent to the offline
    working mode

LVL1
LVL2 (muFast)
LVL2 ID
  • Seeding Algorithms assume the seed is from LVL2
    or a LVL1 ROI
  • Full functionality in barrel and end-caps
  • 3 istances of TrigMoore called by the steering,
    for reconstruction in the MS, extrapolation to
    the IP and combination with ID tracks
  • TrigMoore attaches to the TE a "TrigMooreFeature"
    for each ROI, accessed by TrigMooreHypo for pT
    test
  • TrigMoore records in SG the TrigMooreFeature per
    each ROI and all reconstructed tracks in the
    event in a single container for conversion in
    TrkTrack format and subsequent output in ESD and
    AOD

LVL2 (muComb)
Seeding Algs
Moore Algs
Hypo Alg
TrigMoore
MuIdStandAlone Algs
Hypo Alg
MuIdCombined Algs
Hypo Alg
Offline ID
3
MuonEF in Rel 13.0.10
  • Migration to new HLT Steering (DONE)
  • Both FEX and Hypothesis algorithms
  • Migration to Configurables (DONE)
  • TrigMoore configurables py classes available in 3
    flavours (MuonSpectrometer, Extrapolated and
    Combined Tracks)
  • New style EF muon sequences (including ID) added
    in TrigHypothesis/TrigMuonHypo
  • Migration to new EDM (DONE)
  • TrigMoore uses the standard reconstruction input
    object (PrepRawData).
  • The Moore offline algorithm organization has been
    adopted also by TrigMoore
  • Use of EF version of ID for combined MS-ID tracks
    (DONE)
  • MuidCombined adapted to get as input EF-ID
    tracks.
  • Replacement of the previous implementation in
    wich EF ID and offline ID (New Tracking or
    iPatRec) was used.

4
MuonEF in Rel 13.0.10
  • Implementation of REGTESTs for Monitoring and
    Validation (DONE)
  • Monitoring Histo in Hypo Algo (DONE)
  • Definition of jobOptions to include Muon EF in
    ATN test (DONE)
  • Bug Fix- Fix for duplicated python modules in
    genConf (DONE- to be collected right after
    13.0.10)
  • Bug Fix- Problem in Persistification (appeared in
    13.0.X nightly) Fixed in 13.0.10

5
Muon Slice Validation
6
Sample and releases
  • Single mu sample centrally simulated
  • Private AA NTuple production by Napoli group
    using grid tools (GANGA)
  • Release 12.0.6, seeding by LVL2
  • No hypothesis algorithms, no EF cuts
  • Used for both LVL1 and EF studies

Single m pT (GeV) 2 2.5 3 3.5 4 4.5 5 6 7
106 events 1.2 1.4 1.3 1.2 0.78 0.5 0.67 0.55 0.21
?tot 8 x 106 events in the range 2-7 GeV
Note that only few single muon events, with
pT35 GeV, pass the LVL1/LVL2 mu6 threshold and
no one is reconstructed by the EF. Even a 107
sample of low pT events is not allowing to
extimate the EF efficiency with great precision
below the 6 GeV threshold.
7
Efficiency curves barrel (I)
EF (MuId CB) efficiency w.r.t. LVL2 (muComb)
3
5
3
5
pT (GeV)
pT (GeV)
pT thresholds 4 GeV 5 GeV
8
Efficiency curves barrel (II)
EF (MuId CB) efficiency w.r.t. LVL2 (muComb)
MuId Combined efficiency curves w.r.t. LVL2 for
pT thresholds 6 GeV 8 GeV 20 GeV 40 GeV
pT (GeV)
9
Low pT thresholds single muon rates
Luminosity L 1031cm-2s-1
4 GeV 1031cm-2s-1 Barrel (Hz) Endcap (Hz)
p/K 133 80
beauty 19 21
charm 11 12
top 610-4 810-4
W 0.03 0.04
TOTAL 163 113
5 GeV 1031cm-2s-1 Barrel (Hz) Endcap (Hz)
p/K 44 30
beauty 11 13
charm 6 7
top 510-4 710-4
W 0.03 0.04
TOTAL 61 49
10
Other EF Trigger rates
6 GeV 1033cm-2s-1 Barrel (Hz) Endcap (Hz)
beauty 641 845
charm 327 426
top 0.05 0.07
W 2.9 4.0
p/K 1918 1462
TOTAL 2889 2737
8 GeV 1033cm-2s-1 Barrel (Hz) Endcap (Hz)
beauty 172 291
charm 77 134
top 0.06 0.05
W 2.8 3.9
p/K 281 313
TOTAL 533 742
20 GeV 1034cm-2s-1 Barrel (Hz) Endcap (Hz)
beauty 73 118
charm 28 46
top 0.27 0.32
W 22.3 32.6
p/K 50 48
TOTAL 173 244
40 GeV 1034cm-2s-1 Barrel (Hz) Endcap (Hz)
beauty 2.5 4.5
charm 0.87 1.6
top 0.07 0.07
W 3.9 7.1
p/K 0.2 0.3
TOTAL 7.5 13.6
11
Muon HLT Data Quality
12
Muon Slice Data Quality (I)
Preliminary considerations on DQ monitoring and
assessment for the muon slice presented at TDAQ
Data Quality Wshop in Zeuthen (February 28-March
1 2007), focusing on LVL2 and EF, in
online/offline
  • e.g. for EF online monitoring
  • hit /track per tecnology
  • geometrical track parameters
  • pt spectrum
  • track quality (?2)
  • residual distributions
  • matching with ID
  • combined tracks/moore tracks
  • ratio of positive/negative tracks
  • matched hits/total hits in the seed region

Monitoring activities are going to be organized
for LVL1/2/3 in the appropriate environments, to
use general tools and DQ Monitoring framework, to
move the first steps towards muon trigger slice
DQ
Nothing exists for the moment for Muon Slice DQA
but what implemented for monitoring during 2004
test beam (A. Di Mattia for LVL2) and the test of
the trigger slices on the pre-series machines at
Point 1 in december 2006 (D. Scannicchio for EF)
can be a starting point for Data Quality
Monitoring
13
Muon Slice Data Quality (II)
e.g. TrigMoore histos from the last technical run
Trigger/TrigAlgorithms/TrigMoore/src/TrigMooreHist
o.cxx
(here obtained running the jobOptions prepared
for the on-line with a bytestream file containing
50 top events as input muons are selected by the
LVL2 and the EF muon algorithms)
completed in release 13 for TrigMoore Hypothesis
algos
14
Proposal for L 1031 cm-2s-1
L1 trig. item Rate LVL2 Rate EF Rate
MU4 1 kHz µComb TrigMoore
MU4 1 kHz TrigDiMuon DiMuon
MU4 1 kHz PS/PT 1 Hz PT 1 Hz
MU6 227 Hz µComb 80.8 Hz TrigMoore 56.3 Hz
MU6 227 Hz InDet only PS/PT
MU6 227 Hz µFast only 99.7 Hz PS/PT
MU6 227 Hz PS/PT 1 Hz PT 1 Hz
MU10 112 Hz µComb TrigMoore 10 Hz
MU10 112 Hz PS/PT 1 Hz PT 1 Hz
15
Proposal for L 1031 cm-2s-1
L1 trig. item Rate LVL2 Rate EF Rate
MU15 19 Hz µComb TrigMoore 2 Hz
MU15 19 Hz InDet only PT
MU15 19 Hz µFast only PT
MU15 19 Hz PS/PT 1 Hz PT 1 Hz
MU20 14 Hz PT 14 Hz PT 14 Hz
MU40 8 Hz PT 8 Hz PT 8 Hz
2MU4 9 Hz ??? PT
2MU6 4 Hz PT 4 Hz PT 4 Hz
2MU10 1 Hz PT 1 Hz PT 1 Hz
2MU20 lt 1 Hz PT lt 1 Hz PT lt 1 Hz
2MU40 lt 1 Hz PT lt 1 Hz PT lt 1 Hz
Express streams
16
Trigger efficiency from Z ? µµ-
Double Object with orthogonal Signature (DOS)
method
Double Object (DO) method
Backgrounds from BBµµX, Wµv, Ztt Different
reconstruction modes
1-2 statistical uncertainty with few pb-1
data Differential (?,f) trigger efficiency
determination CSC AOD analysis is going to be
finalized
17
Muons from p/K
18
Strategy
  • extract from minimum bias and dijets of various
    energy a global pT vs h distribution for pions
    and kaons, re-weighting to a common value of the
    integrated luminosity
  • Use the particle-generator to generate single
    pions according to te previous distribution
  • simulate the decay of pions with G4 saving only
    events were the pion decay before the muon
    spectrometer
  • study a procedure to identify and reject this
    kind of muons

19
Event Sample
Event Sample File Name Events Cross Section (mb)
minimum bias csc11.005001.pythia_minbias.evgen.EVNT.v11004202._xxxxx 124200 92E00
J1 csc11.005010.J1_pythia_jetjet.evgen.EVNT.v11004201._xxxxx 242287 1.376E00
J2 csc11.005011.J2_pythia_jetjet.evgen.EVNT.v11004201._xxxxx 257508 9.327E-02
J3 csc11.005012.J3_pythia_jetjet.evgen.EVNT.v11004201._xxxxx 30299 5.884E-03
J4 csc11.005013.J4_pythia_jetjet.evgen.EVNT.v11000401._xxxxx 40400 3.084E-04
J5 csc11.005014.J5_pythia_jetjet.evgen.EVNT.v11000401._xxxxx 5050 1.247E-05
J6 csc11.005015.J6_pythia_jetjet.evgen.EVNT.v11000401._xxxxx 50000 3.604E-07
J7 csc11.005016.J7_pythia_jetjet.evgen.EVNT.v11004201._xxxxx 5050 5.707E-09
J8 csc11.005017.J8_pythia_jetjet.evgen.EVNT.v11004201._xxxxx 10100 2.444E-11
Particle selection requiring
  • p PDG code
  • hlt2.7
  • pTgt500MeV
  • generation at the interaction point (0.,0.,0.)

and filling a two-dimensional histogram of pT vs
h, one entry for each pion.
20
pT vs h distributions
Some existing correlation between pT and h
requires a generation according to the 2-D
distribution The solution that I adopted is to
slice the 2-D histograms in pT bins and simulate
using the 1-D projections in pT and h
Minimum bias
Supposing an efficiency e10-4 between 2.5 GeV
and 7.5 GeV, and a granularity of 500 MeV, to
extimate an error of s(e)?10 ? 106 events
needed in each bin
Dijets J8
If only 1 of the pions decays in the volume
before the calorimeter at least 109 events should
be generated
A tool was developed to force all the generated
pions to decay the PionDecayer
21
Produced sample
  • no available tools to randomly extract from a 2D
    distribution
  • solution slice the 2D distribution in pt bins
    (of same content) and generate according to the
    1D distributions of pT and Eta

misal1_mc12.007160.singlePion_pTSlice_0_of_30.digi
t.v12000502 2000 100000 misal1_mc12.007161.sing
lePion_pTSlice_1_of_30.digit.v12000502 2000
100000 misal1_mc12.007162.singlePion_pTSlice_2_of
_30.digit.v12000502 1600 80000
misal1_mc12.007189.singlePion_pTSlice_29_of_30.
digit.v12000502 100 5000 misal1_mc12.007190.s
inglePion_pTSlice_30_of_30.digit.v12000502 100
5000
TOTAL 25.800 files 1.065.000 events 1.7Tb
Since, for a given pion direction, the decay is
forced into a definite path length L, the single
event probability is
22
  • Since full statistics has become available all
    efforts have been directed to apply the muon
    slice and the standard ntuple analysis to the
    single pi sample
  • with some addition specific to the pi-gtmu case
  • keep track of the muon mother and its decay
    vertex
  • keep track of the links between a combined
    reconstructed muon and its ID and MS seeds,
    etc...).
  • first attempt
  • copy from USA grid to castor, submit jobs to
    lxplus queues for running the specific
    reconstruction analysis code turned out to be
    unaffordable mostly due to castor access too slow
    and unstable
  • use of grid infrastructures absolutely necessary
    !
  • - the solution use LCG-grid o come si chiama,
    after moving the files to
  • Napoli tier-2 - affordable but still very
    time consuming
  • - copy from castor to NA tier-2 took 4/5 ??
    days
  • - reconstruction jobs submitted (just half??
    sample processed yet)...

23
Problems
  • Many problems encountered to complete the
    analysis chain
  • Last simulation job finished half april
  • Copy output to castor from US grid 1 week
  • Many attempts to run the muon trigger slice
  • Run athena jobs directly on castor ? failed
  • Copy from castor to local nfs?local disk failed
  • Replicate from castor to european grid?ongoing

24
Backup
25
LVL1/2 Mu6 30 500 3.6k 352k
EF mu6 0 0 0 88
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