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sPHENIX Software & Computing Review sPHENIX Software & Computing Review

sPHENIX Software & Computing Review - PowerPoint Presentation

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sPHENIX Software & Computing Review - PPT Presentation

Simulation overview and resource needs Jin Huang BNL June 18 2018 BNL June 18 2018 sPHENIX Software amp Computing Review 1 Overview for this talk June 18 2018 sPHENIX Software amp Computing Review ID: 798633

computing simulation software sphenix simulation computing sphenix software amp jet emcal full event central gev geant4 2018 embedding reconstruction

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Slide1

sPHENIX Software & Computing Review

Simulation overview and resource needsJin Huang (BNL)June 18, 2018BNL

June 18, 2018

sPHENIX Software & Computing Review

1

Slide2

Overview for this talkJune 18, 2018

sPHENIX Software & Computing Review2

EMCalInner HCalMagnetOuter HCal

IP

Geant4 Land

In this talk:

Simulation resource consumption

Expected major simulation samples

Question

:

Are the resources required to process the data to a form suitable for physics analyses adequately understood?

Detailed setup in Geant4 integrated with full event

reco

Test beam verifications

Frequently used in analysis by the collaboration for 1M Au+Au full event + embedding simulations.

Slide3

Simulation framework integrationGeant4 simulation and reconstruction are integrated in the sPHENIX software framework

More on framework see last talk by Chris P.In production mode: run Geant4 sim in central production (CPU intensive), buffer the output file (DST) for reuse (require disk space), then run reconstruction in separated user sessions.Ensure same configuration and geometry are used in simulation and reconstruction → embedding For example, Geometry and magnetic field configuration in Geant4 is automatically passed down to reconstruction stage for use in alignment adjustment, in tracking Kalman

filter and in calorimetry geometric presentation. 3June 18, 2018Output Managers

Input Managers

Fun4AllServerdata objectsGeant4 sim Modules

User

Reconstruction Modules

Analysis Modules

Order of execution

Slide4

Simulation chain4

100

ms / ev (HIJING)2000 s / ev100 ms / evSee reco. talks1.7 MB / ev * 29%210 MB / ev * 49%Not saved

See reco. talks

Above table : per-event resource for central Au+Au event in full sPHENIX. Store object optimized for fast dev, rather for space saving yet. Stored in ROOT file with compression ratio shown in the table.Expect order of 10M Au+Au event sim total (dominated by rare fake jet background simulation need, next slide...)Rare signal probes simulated in the embedding mode (fast 10s/ev, regularly carried out 0.1-1M sample studies in the past)

Slide5

Required data samplesLeading requirement on simulation computing need driven by simulating Au+Au events in search for rare background. In particular fake jet background in central Au+Au collisions

Dominating simulation resource needed: 10M central Au+AuFake jet is important up to ET = 30-35 GeV, 10% fake jet stat. precision in ET = 30-35 GeV, require 100 fake jets 100 fake jets @ 30-35 GeV require 100 fake jet/5GeV/(10-5 jet/GeV/

ev) = 2 M central Au+Au eventsOver design and early analysis of sPHENIX, expect run this study over five iterations: 5x2 M central Au+Au simulationsSame sample will be used in rare signal embedding (fast), (Upsilons→e+e-) background embedding+mixing, and test reconstruction software (see earlier talks)5x 2M central Au+Au translate to 600 CPU-Core*year and 200 TB storage for each of the 5 iterationsSmall compare to sPHENIX reconstruction need (last three talks)5June 18, 2018sPHENIX Software & Computing Review

DOI: 10.1103/PhysRevC.86.024908

1x 34-35 GeV fake jetper 100k eventConsistent with the order to observe5-sigma fluctuation in all R=0.4 cones

Slide6

Simulation Setup: Tracker

6

sPHENIX Software & Computing ReviewDesign to SimulationGeometric parameters, materials, support GDML import

MVTX Ladders modeled in details

CAD

Model

sPHENIX Geant4 display of

p

T

=30 GeV/c

B

+

-hadron

GenFit

track/

sens.

Vol. display

Automatic geometry and field map porting

to reconstruction

Used in

Kalman

filter

Reco

event display

Consistent way to apply alignment

and embedding in future

Inner tracker (MVTX and INTT)

Slide7

Simulation Setup: EMCalJune 18, 2018

sPHENIX Software & Computing Review7

10GeV, e+2 cm SPACAL Towerw/ fibers displayedTotal 20 M fiber simulated each event

EMCal Half Sector with possible

η-extension(fibers simulated but hidden from display)full EMCal

Slide8

Simulation Setup: HCalJune 18, 2018

8

Baseline design24-GeV pion showerEMCal

Inner HCal

MagnetOuter HCalBeam view of full calorimetersCalorimeter simulation & analysis chain: GEANT4 hit → Scintillation light model → Light collection model → Tower readout → Digitization → Calibrated tower energy → Clustering/Track matching/Jet findingsPHENIX Software & Computing Review

Slide9

Test Beam Verification [arXiv:1704.01461]June 18, 2018

sPHENIX Software & Computing Review9

Geant4 World

Slide10

Test Beam Verification [arXiv:1704.01461]June 18, 2018

sPHENIX Software & Computing Review10

EMCal energy resolution for EM shower in tower centerHCal energy response for pion-New 2017 data2016 data and submitted to IEEE TNS

Slide11

Au+Au background → Compact showerJune 18, 2018

sPHENIX Software & Computing Review11

EMCalInner HCal(if instrumented)Outer HCalsPHENIX

simulation

sPHENIX simulationsPHENIX simulation

Slide12

Example simulation campaign : Jet Observables

Jet-balance/imbalance observables simulated in full detector events: day-1 measurement, resolution under controlOn-going effort in understanding the details of the jet simulations and unfolding studies.

Expanding jet observables studied with the updated design and simulationsJune 18, 2018sPHENIX Software & Computing Review12Di-jet transverse momentum asymmetryγ-jet transverse momentum balanceShape of observable well controlled from generated shape → measured quantitiesPromising for unfolding and sys. control

γ-jet fragmentation function

Slide13

Example simulation campaign : UpsilonJune 18, 2018

sPHENIX Software & Computing Review13

Upsilon simulation involves simulation and reconstruction of tracking, calorimetry, embedded signal and backgroundsUpsilon→ , hadron/electron ID simulated via embedding in full event-full detector Geant4 simulations. Possible for real AuAu data embedding after sPHENIX turn-onFast simulation with G4-extracted e-ID to produce full spectrum line shape for

 

Pion rejection @ 90% efficiency(higher than proposal assumption)Upsilon spectrum in Au+Au

(after combinatorial subtraction)

Test beam: EMCal

rejection for pion-

Slide14

SummarysPHENIX has mature and detailed simulation, verified in test beam, regularly used with Million-embedded-event simulation campaigns by the collaborationFor simulating one central Au+Au event: 2000s CPU-core + 200MB disk

CPU time dominated by shower simulation in detailed calorimetric structures to represent rare tails, fluctuation and non-compensating hadron calorimetryCPU-save steps by reusing Geant4 result files and embedding of signalsMay further optimize with fast simulation for specific studiesDisk storage object not yet optimized for space saving. Dominated by Geant4 hit info and truth tracing tablesDominating computing need for simulation: 5 iterations of 2 M central Au+Au simulation to study rare backgroundRequire 600 CPU-Core*year and 200 TB storage for each of the 5 iterations

Small compared with computing need for sPHENIX reconstruction14June 18, 2018sPHENIX Software & Computing ReviewQuestion: Are the resources required to process the data to a form suitable for physics analyses adequately understood?

Slide15

15June 18, 2018

sPHENIX Software & Computing Review

Back Up

Slide16

June 18, 201816

EMCal radius (cm)

EMCal X (cm)EMCal Y (cm)← Moliere radius, 2cm

← 3x3 tower

95% containmentEMCal radius (cm)Inner HCal radius (cm)EMCal X (cm)Inner HCal X (cm)Inner Hcal Y (cm)EMCal Y (cm)

← 3x3 tower

50% containment

← ~3x3 tower

60% containment

― Energy deposition (A.U.)

― Percentage outside radius

4 GeV Electrons in EMCal

4 GeV

Pions

in EMCal

, that

passed E/p electron-ID cut

EMCal

EMCal

Inner HCal

(if instrumented)

A.U.

/

Leakage Ratio

A.U.

/

Leakage Ratio

A.U.

/

Leakage Ratio

sPHENIX Software & Computing Review

Slide17

Performance : Single EM Showers

June 18, 2018sPHENIX Software & Computing Review17

Beam test [arXiv:1704.01461] Full sPHENIX detector simulationApplied cluster-position-based non-uniformity correction as used in test beam analysisdE/E < 16%/ √(E) + 5%

Slide18

Performance : Photon in Full Event

Good linearity up to photon kinematic limit of sPHENIXSatisfying UPP-

: ΔE/E <8% for E>15 GeV in central Au+Au collisions June 18, 2018sPHENIX Software & Computing Review18

ΔE/E <8% @ E = 15 GeV

Slide19

Performance : Jet FindingJets in p+p and central Au+Au collisions are also studied in full detector simulationsJet finding followed by ATLAS style iterative background subtraction [

10.1103/PhysRevC.86.024908]Performance meeting sPHENIX UPP-Jet: ΔET

/ET <150%/√ET in central Au+Au collisionsFurther improving underlying event subtraction and fake-jet rejection algorithm based on RHIC and LHC experiencesJune 18, 2018sPHENIX Software & Computing Review19sPHENIX UPP-Jet