1. integration in HLT-status and prospects
M. Biglietti Universita’ di Napoli-Federico II
G. Cataldi - INFN Lecce
and the Moore group
25/02/2019
Gabriella Cataldi INFN Lecce

2. Gabriella Cataldi INFN Lecce
EF Algorithms
Operate in a way close to that of the offline environment BUT
are called and steered by the Step Controller of the steering sofware that replaces the Athena Event Loop manager
They should not operate in a general-purpose sense, but they must be seeded
Validate or reject Trigger Elements (TE) formed at the previuos stage
Region selector mechanism
use the trigger sequences
Trasformation of input TEs into a new output TEs
use the configuration signatures
collection of required TEs to be validated
may be executed N times for each event
must have a latency of 1 s
possibility of full access to event data
25/02/2019
Gabriella Cataldi INFN Lecce

3. Gabriella Cataldi INFN Lecce
Requests to Moore
Should be driven from the Step Controller in paths of sequences
Should consider only relevant region-of-interest
Conversion of geometrical region (h, f) into hash identifiers by means of a Region Selector
hash identifiers are related to a DetectorElement (RPC and MDT)/offline identifiers
Requests from the MdtDigitContainer and RpcDigitContainer only the corresponding collections
Cache mechanism for multiple execution on one event
25/02/2019
Gabriella Cataldi INFN Lecce

4. Gabriella Cataldi INFN Lecce
Moore flow unseeded
MooAlgs
Each step is driven by an Athena top-algorithm
Transient objects are passed via TDS/StoreGate
Independent algorithms, the only coupling is through the transient objects
RPC/TGC digits
MooMakePhiSegments
PhiSegments
MooMakeRZSegments
MDT digits
MooMakeRoads
CrudeRZSegments
MooMakeiPatTracks
MooRoads
MooiPatTracks
MooStatistics
MooMakeNtuples
Ntuples
25/02/2019
Gabriella Cataldi INFN Lecce

5. Strategy for Moore Seeding
RecMuonRoI
(h ±Dh, f±Df)
RegionSelector
Hash offline IDs
DigitsCollection
(RPCs and MDTs)
TDS
(ZEBRA)
RPCDigitContainer
MDTDigitContainer
PhiSegmentContainer
RZSegmentContainer
MooMakePhiSegmentSeeded
MooMakeRZSegmentSeeded
(TDS)
MooHLTAlgo
decision
Tracks
MooMakeRoads
MooMakeTracks
25/02/2019
Gabriella Cataldi INFN Lecce

6. MuonIdentification Athena Implementation
Inputs from Moore, Calo Reco and iPat
Athena modules:
MuidInit :
gets tracks from Muon Reconstruction (Moore) and associates the truth from KINE bank
MuidStandAlone:
muon tracks are propagated to the vertex
multiple scattering parameterised as scattering planes in calorimeters
energy loss from truth and/or from Calo Reconstruction (Tile, HECLAr and EMLAr CaloCells from CaloUtils/CaloEvent packages) and/or from parametrization as function of (eta,p)
refit at vertex
MuidComb:
gets MuidTracks from previous step and ID reconstructed tracks (iPat)
Muon/ID tracks matches with a c2 cut-off
Combined fit
25/02/2019
Gabriella Cataldi INFN Lecce

7. MuidStandAlone in the HLT framework
Time performance
MuidStandAlone is executed in a sequence after the Moore Algorithms from MooHLT
<SEQUENCE level= ``EF’’ input="LVL1MU"
algorithm="MooHLTAlgo/MooHLTEFAlgo/m1 MuidHLTAlgo/MuidHLTEFAlgo/m1" output="mu" />
Seeded with Moore tracks
Energy loss from parametrization
Still needed:
Calo Reco in HLT for measured energy loss
iPat in HLT for track combination
PIII 800 MHz 256 MB
6.0.1 rel. - opt build
Average on 1000 events
Pt (GeV)
Time (ms) 20
5.1
100
6.3
300
4.9
H->4mu
mH= 130 GeV
25.2
25/02/2019
Gabriella Cataldi INFN Lecce

8. Moore/TrigMoore Structure
Moore offline
TrigMoore
MooAlgs
MooMakePhiSegments
MooMakeCrudeRZSegments
MooMakeRoads
MooMakeTracks …
TrigMoore
MooHLTAlgs
MooMakePhiSegmentsSeeded
MooMakeCrudeRZSegmentsSeeded
MooStatistics
MooEvent
25/02/2019
Gabriella Cataldi INFN Lecce

9. Gabriella Cataldi INFN Lecce
Status of TrigMoore
Wrapper code so that MOORE can be called by the HLT steering in unseeded or seeded version IN PLACE
Seeded code IN PLACE:
MooMakePhiSegmentSeeded
MooMakeCrudeRZSegmentsSeeded
Code in place since almost two weeks
Accessing informations about LVL1 and using
the region selector
25/02/2019
Gabriella Cataldi INFN Lecce

10. Gabriella Cataldi INFN Lecce
Debugging phase
Mistery crash at end of run for all the muon chain (solved but not understood)
MapBuilder and RegionSelector (maps and compact border problems) (work around / almost solved) affecting Moore/Mufast
Crash in MuonDetDescr (work around) no reasons for crashing at that point! (is the ``not understood problem coming back’’?)
Time performances in seeded version. Region selector crash in optimized mode.
How long it will take?
25/02/2019
Gabriella Cataldi INFN Lecce

11. Gabriella Cataldi INFN Lecce
Fully wrapped version
Given the status today we only can consider performances in fully wrapped mode.
This is not very different from running offline.
25/02/2019
Gabriella Cataldi INFN Lecce

12. Gabriella Cataldi INFN Lecce
First results using Moore in HLT
A first test has been performed using:
lxplus036 – Pentium III MHz MB
opt build
New EDM
Average on 500 events
MooSummary
MooMakePhiSegments
MooMakeCrudeRZSegments
MooMakeRoads
MooMakeTracks
MooAlgs
The Athena Chrono service has been used
25/02/2019
Gabriella Cataldi INFN Lecce

13. TrigMoore – First time-performance test
20GeV TDR
20GeV DC1
300GeV TDR
200GeV DC1
H m DC1
142 msec
155 msec
368 msec
279 msec
572 msec PT
(t -1)
Moore
t Average execution time per event calculated for the 500 events sample.
The 1st event has not been included in the calculation since in this event several services are initialized (magnetic field map,… ).
Pt (GeV)
Time (ms) 20
5.1
100
6.3
300
4.9
H->4mu
mH= 130 GeV
25.2
MuId standalone
25/02/2019
Gabriella Cataldi INFN Lecce

14. Gabriella Cataldi INFN Lecce
Efficiency vs pT
Single m performances
Moore PT resolution rather uniform ~ 3% from 6 to 100 GeV
Moore/MuonID performances shown
here are obtained with
Release 6.0.3
A private improved version of MuonIdentification
Tracking in the magnetic
fields
Bug fixes
Moore with the full material description
MooAlgs
MooEvent
Single muons - data set (datasets 0031xx) – 9000 events per file
With Inert Material Parameterization
And recent improvements in MuonID
PT /GeV
Rather good agreement with
Physics TDR results
25/02/2019
Gabriella Cataldi INFN Lecce

15. 1/Pt Resolution vs Pt Rather good agreement with Physics TDR results
Pt /GeV
25/02/2019
Gabriella Cataldi INFN Lecce

16. Conclusions
Lot’s of problems in this phase for the seeded version. We (and not only Moore group) are working very hard to get things ready.
3 scenarios regarding Moore:
Bugs solved
Bugs unsolved
Bugs unsolved
Fully wrapped
version unseeded
Attempts for an
internal seeding
Fully wrapped
version seeded
Ntuple production
“You may say I'm a dreamer,
but…”
J. Lennon
25/02/2019
Gabriella Cataldi INFN Lecce