PHOS offline status ALICE offline meeting 9 13
- Slides: 18
PHOS off-line status ALICE off-line meeting 9 -13 September 2002 Yuri Kharlov Subatech/IN 2 P 3 & IHEP/Protvino (for the PHOS off-line team)
PHOS geometry • • • Acceptance: 0. 12, 100 Construction: 5 modules EMC+CPV EMC: 64 56 cells each module EMC cell: 2. 2 18 cm 3 Pb. WO 4 CPV: 128 56 cathode pads, anode wires with 5. 56 mm pitch 10/2/2020 2
PHOS geometry in ALIROOT 10/2/2020 3
PHOS within ALICE 10/2/2020 4
Code development (as of September 2002) • We work at Linux RH 7. 2, RH 7. 3 • We use gcc 3. 2 • We use root 3. 03 -08 • We use always CVS HEAD of Ali. Root Simulation • Ali. PHOSv 0: real geometry, passive material (no hits) • Ali. PHOSv 1: as Ali. PHOSv 0 + hits hit: x, y, z, Eloss, Id, primary (one hit per primary per cell) • Ali. PHOSv. Impact: as Ali. PHOSv 1 + impacts impact: x, y, z, p at the detector ’s upper surface • Ali. PHOSv. Fast: fast simulation (not really used) 10/2/2020 5
Reconstruction • Whole reconstruction chain from Hits to Rec. Particles works in split and non-split mode • Wrapper class for the reconstruction chain: Ali. PHOSReconstructioner • All tasks are created analogously: Ali. PHOS<task>(simulated file, branch name, split/no-split) 10/2/2020 6
Reconstruction user case: non-split mode After simulation: galice. root with g. Alice, geometry, Tree. E, Tree. H è s=new Ali. PHOSSDigitizer(“galice. root”) s->Exec(“deb all tim”) è d=new Ali. PHOSDigitizer(“galice. root”) d->Exec(“deb all tim”) è c=new ALi. PHOSClusterizerv 1(“galice. root”) c->Exec(“deb all tim”) è t=new Ali. PHOSTrack. Segment. Makerv 1(“galice. root”) t->Exec(“deb all tim”) è p=new Ali. PHOSPIDv 1(“galice. root”) p->Exec(“deb all tim”) After reconstruction: the same galice. root with Tree. S, Tree. D, Tree. R filled 10/2/2020 7
Reconstruction user case: split mode After simulation: galice. root with g. Alice, geometry, Tree. E, Tree. H è s=new Ali. PHOSSDigitizer(“galice. root”, ” 1”, k. TRUE) s->Exec(deb all tim”) Tree. S is written to PHOS. SDigits. 1. root è d=new Ali. PHOSDigitizer(“galice. root”, ” 1”, k. TRUE) d->Exec(deb all tim”) Tree. D is written to PHOS. Digits. 1. root è c=new Ali. PHOSClusterizer(“galice. root”, ” 1”, k. TRUE) c->Exec(deb all tim”) Tree. R with Rec. Points is written to PHOS. Rec. Data. 1. root è t=new Ali. PHOSTrack. Segment. Makerv 1(“galice. root”, ” 1”, k. TRUE) t->Exec(deb all tim”) Tree. R with Track. Segments is written to PHOS. Red. Data. 1. root è p=new Ali. PHOSPIDv 1(“galice. root”, ” 1”, k. TRUE) p->Exec(deb all tim”) Tree. R with Rec. Particles is written to PHOS. Red. Data. 1. root 10/2/2020 No g. Alice, Tree. E, Tree. K, Tree. H, geometry is written to the split files 8
Reconstruction (continued) • Reconstruction can be performed either by a script calling tasks one-by-one, or • Reconstruction wrapper: all-in-one r=new Ali. PHOSReconstructioner(file, branch, split) r->Execute. Task(“deb”) • PHOS reconstruction is not compatible with Ali. Run. Digitizer in a split mode because g. Alice is missing in split files • Mixing events at SDigits level: in Ali. PHOSDigitizer: : Mix. With(another file) 10/2/2020 9
EMC performance (1) Energy resolution Position resolution Simulation reproduces measurements 10/2/2020 10
EMC performance (2) Rec. point shift due to inidence angle 10/2/2020 Effective shower maximum depth vs E 11
EMC performance (3) 10/2/2020 12
CPV performance (1) x-resolution z-resolution EMC-CPV distance Simulation reproduces measurements 10/2/2020 13
CPV performace (2) Matching probability of charged particles with EMC rec. point 90% of e- give matching EMC-CPV rec. points 10/2/2020 10% of are lost having the minimal material (with holes in TRD and TOF) 14
Particle identification in PHOS (1) PHOS identifies particles by: • time-of-flight • distance between CPV and EMC rec. points • shower shape in EMC (2 approaches): - at very high energies neural networks can be used - at any energies principal components analysis can be applied 10/2/2020 15
Particle identification in PHOS (2) Photon/ 0 identification with a Neural Network • Reconstructed particles are defined by E, 1, 2, M 10, M 30, M 40, M 04, • NN response S (0, 1) classifies clusters. • ( , ) varies from 90% to 20% at E=20 -120 Ge. V • ( , 0) is 1 -3% in this range 10/2/2020 16
Particle identification in PHOS (3) Photon identification with the Principal Components Analysis Rec. point is characterized by the following parameters: • Lateral dispersion • Shower ellipse axes • Sphericity • Core energy • Largest energy fraction in one crystal TPrincipal reduces all parameters to 2 significant ones 10/2/2020 17
Our plans and needs • Global tracking: reconstructed tracks in ITS+TPC can be propagated to PHOS to improve CPV-EMC matching and track segment making • finish PID • Adopt aliroot for bea-test data analysis • Implement data bases for dead modules and calibration coefficients 10/2/2020 18
- Ninth grade vocabulary
- What is meeting and types of meeting
- Types of meeting
- For todays meeting
- Proposal kickoff meeting agenda
- Pengertian pemasaran online dan offline
- Skpmg
- Offline cms
- Emcs rendszer
- Compass offline
- Block diagram of offline ups
- Offline caching greedy algorithm
- Tkt offline
- Forumssocialmedia
- Siptm surveilans
- Nox offline
- Siha offline
- Strategie offline
- Scratch offline