Status of FTK simulation June 16,2005 G. Punzi, Pisa

FTKSIM PEOPLE: –Chiara Roda, Giulio Usai, Iacopo Vivarelli –Mauro Dell’Orso, Giovanni Punzi Francesco Crescioli, Guido Volpi TASK: –Build an FTK simulator taking input from ATLAS full simulation –Evaluate performance parameters on fully simulated ATLAS events

Code organization CORRGEN MC tracks+hits fit constants (.fcon) PATTGEN Patterns (.patt) Linearized resolution Eff. Existing (SVT) In progress ATLSIM (ATHENA) Detector Hits FTKSIM FTK tracks Performance parameters From existing Red: basic performance parameters than can be brought inside ATLFAST DoneATLAS Sectors (Trivial in CDF) PATTGEN’ Done

Projection on the X-Y plane of the muminus_4040 sample (10000 tracks) Every hit belongs to a specific module of the detector and uses global x-y-z coordinates. Each module in this plane is identified by the kind of detector (Pixel or SCT), the layer number and the phi_module id Hit distribution (barrel)

We need to transform global coordinates to local, according to some data files mapping ATLAS detector/layer/phi_sector ids to plane/sector and defining the local coordinate space ATLAS hits format FTKSIM hits format atltrackToHits() detector/layer to plane.pmap phi_module to sectors.psmap sector phi offset for global to local coordinats.offmap

3 pixel 4 SCT pixel 0 plane 0 pixel 2 plane 1 SCT 0 plane 2 SCT 1 plane 3 SCT 2 plane 4 SCT 3 plane 5.pmap file format Number of layers per detector detector/layer pair to plane number Example.pmap file that maps all detector/layer pairs to a plane. Note: pixel layer number 1 does not exists so it's not mapped.

planes 6 phi_module0 22 phi_module1 52 phi_module2 32 phi_module3 40 phi_module4 48 phi_module5 56 sectors 156 plane 0 phi_module 0 nsectors 8: plane 5 phi_module 55 nsectors 2: psmap file format Number of planes used Number of phi_modules per plane Number of sectors defined Sectors assigned to plane/phi_module pair. Note: In case a module belongs to multiple sectors, the real hits in that module generate multiple virtual hits, one for each sector.

planes 6 sectors 156 plane 0 sector 0 offset plane 5 phi_module 155 offset offmap file format Number of planes used Number of sectors defined Global offset of the sector in the coordinate used for global to local transformation. We are using hit's phi as one dimensional coordinate, so we need to know phi region covered by every plane/sector pair to map global hit's phi to local one. In this case we use the phi of the right end of every plane/sector pair to perform the transformation.

Sector generation Define sector with the same method used for patterns: 1 detector element= 1 superstrip Run a MC track sample Define sectors as combinations that have larger occupancies Depends on Pt-> need realistic distribution in training sample

Results with current input track data Samples currently used: –µ+, µ- samples, fixed Pt 5 GeV, ~10000 tracks each We use iPat 3D hits (Poppleton’s) –2D hits from different detectors are associated to produce them –This is NOT what FTK is going to see: purpose is to compare FTK performance with offline exercise code with smaller number of patterns, ecc. Our current tests are: Barrel only, 2D only Sectors: generated 156 sectors, each with very few tracks in it (we will eventually have much more) Many tracks have multiple hits –Good as test of the code, but we need >>statistics

A great number of tracks have many hits, typically multiple hits in a single detector plane.

Sample tracks

Useful events Useful events are events with 6 hits in 6 plane for a given sector. 7-8% of total tracks

Status Interface ATHENA->FTKSIM created Brought CORRGEN and PATTGEN to work with ATLAS data Created new piece of code to build a sector map in automated (and optimal) way (useful for real implementation) Need to produce an appropriate sample of single tracks to actually start making constants

BACKUP

Job Breakdown Athena interface (C. Roda, G. Usai) FTKSIM code organization (G. Punzi, M. Dell’Orso) Core code (Francesco, Guido) Production of real Geometry Constants –(Giovanni, Guido) Production of real Patterns (Mauro, Francesco) Measurement of linearized resolution and background rejection (Giovanni, Guido) Measurement of tracking efficiency (AM workload) (Mauro, Francesco)

Next steps Chiara+Giulio –Produce a sample of ~10^5 good tracks –Go to lower-level (non associated) hits for next round Francesco –Generate sectorization and patterns Guido –Generate geometry constants (“.fcon”)

Next to Next steps Mauro+Francesco –Produce pattern files (“.patt”) for ATLAS –Evaluate efficiency and verify AM workload Giovanni+Guido –Measure performance of linearized fit Chiara+Giulio –Produce module for creating FTKSIM input from fully simuted ATLAS events.

Detailed physics studies ATLSIM (ATHENA) Detector Hits FTKSIM Patterns (.patt) FTK tracks fit constants (.fcon) ATLFAST (ATHENA) Physics-study sample ATLFAST Root-ple + FTK block More complex performance indicators