HAMC = Hall A Monte Carlo

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1 HAMC = Hall A Monte Carlo Bob Michaels Hall A Jefferson Lab, Dec 3, 28 Software Workshop p.1

2 Two Previous Monte Carlos SAMC genercone (A. Deur, V. Sulkosky) (D. Lhuillier, K. Paschke, B. Moffit) much was learned from these were used for theses and publications but... not easy to adapt to PREX / PVDIS Hall A Jefferson Lab, Dec 3, 28 Software Workshop p.2

3 HAMC Ideas based on ROOT histograms, ntuples, etc. C++ Design Extensible to other experiments Description of problem provides the classes & their relationships. e.g.... in an EVENT the BEAM (a type of TRACK) hits a TARGET, the KINEMATICS are generated... TRACKS go through a SPECTROMETER which has a TRANSPORT MODEL... NOUNS = the classes Relationships : inheritance, usage, containment Such design makes things easier (we hope) Hall A Jefferson Lab, Dec 3, 28 Software Workshop p.3

4 HAMC Main Classes Physics, Experiment, Target (abstract) Experiments = singles or coincidence (only HRS) New experiments inherit from these, e.g. hamctgtprex = lead/diamond Event Track (procedure of 1 event) ( Beam, TrackOut) SpectHRS Transport (only HRS, concrete class) ( LeRose Transport, Matrix, other models foreseen) InOut (database, control, ROOT histograms and ntuples) Hall A Jefferson Lab, Dec 3, 28 Software Workshop p.4

5 HAMC Event Procedure Generate the beam for this event. Target position uniformly generated. Phase space filled uniformly. Cross section weighting (option for histograms). Compute energy losses and multiple scattering in materials Compute Internal Bremsstrahlung Compute parity violation Transport to various points in HRS (and Septum). Apply acceptance cuts at those points. Event Analysis Hall A Jefferson Lab, Dec 3, 28 Software Workshop p.5

6 Spectrometer Model Uses LeRose functions (Fortran) with C++ interface Break Points Transport to here Apply Acceptance Cut VDCs Focal Plane Q3 Dipole beam Target Septum (if exists) Q1 Q2 Hall A Jefferson Lab, Dec 3, 28 Software Workshop p.6

7 Input / Output Example 1 : Adding a histogram Int_t hamckine::init(hamcexpt* expt) { // to weight? brk point // ˆ care-acc? ˆ // ˆ ˆ ˆ expt->inout->bookhisto(ktrue, kfalse, ITARGET, "th1", "Theta Generated", &theta, 12,.8*thetamin,1.2*thetamax); // produces a histogram th1 weighted by cross // section, with no acceptance cut. Variable is // plotted at the target break point. } Hall A Jefferson Lab, Dec 3, 28 Software Workshop p.7

8 Input / Output Example 2 : Adding variables to event ntuple Int_t hamckine::init(hamcexpt* expt) { expt->inout->addtontuple("energy",&energy); expt->inout->addtontuple("theta",&theta); expt->inout->addtontuple("qsq",&qsq); // produces variables energy, etc in ntuple // (filled at focal plane). } Hall A Jefferson Lab, Dec 3, 28 Software Workshop p.8

9 Input / Output Control File # This file: prex.dat # Read by hamc and parsed by hamcinout. # Setup choices for HRS hrs_setup coldseptum uselerose # Beam parameters and raster beam E 1.1 Esigma.11 rastered xraster.4 yraster.4 # uncomment the following line if want to iterate # iterate # A variable to iterate (relevant class looks for this) kick:track P.3 Hall A Jefferson Lab, Dec 3, 28 Software Workshop p.9

10 Iterations Obtained when specifying iterate in control file Produces iterated ( x ) histograms for each histogram, for variable after iteration. root [1].ls KEY: TH2F xyq3o;1 Transport X-Y at Q3 exit KEY: TH2F xyq3ox;1 Transport X-Y at Q3 exit_iteration Hall A Jefferson Lab, Dec 3, 28 Software Workshop p.1

11 Dispersion Study For a δ-fcn P on lead with (new) warm septum. Unweighted X-Y at focal plane (X on X-axis).1 E = 1.5 GeV, θ = 5, raster 4x4 Pb(e,e ) Radiative tail turned off δ= δ = 2.6 MeV.2.4 X (dispersive) -- meters Hall A.6 Jefferson Lab,.8 Dec 3, 28 Software Workshop p.11

12 HAMC Status / To-do List 9% written 5 khz on my Dell 52 Laptop (core 2 duo T72 2 Ghz) Needs more care at target find vertex, treat the physics for that material. understand discrepancies of diff. versions of radiation codes. PVDIS not written yet (easy) Preliminary comparisons to real data will be shown. next slides Hall A Jefferson Lab, Dec 3, 28 Software Workshop p.12

13 X-Y in Focal Plane for HAPPEX Very preliminary results, still a work in progress....1 Unweighted X-Y at focal plane (X on X-axis) X-Y for HAMC (simulation).1 X-Y Real in focal Data plane HAPPEX 25 run X (dispersive) -- m X (dispersive) -- m Hall A Jefferson Lab, Dec 3, 28 Software Workshop p.13

14 Q 2 for HAPPEX Qsq (weighted, in accept) qsq Qsq on R-arm (GeV)^2 (both dets, T2) hqr HAMC simulation Entries Mean Real Data Entries 1557 Mean RMS RMS.234 HAPPEX 25 run Preliminary! Q^2 (GeV^2) Q^2 (GeV^2) Hall A Jefferson Lab, Dec 3, 28 Software Workshop p.14

15 X-Y for PREX Comparing to some test data with old septum. Weighted X-Y at focal plane (X on X-axis) 3 1 HAMC Simulation XY for Real Data E = 1.1 GeV, θ = 6 Cold Septum Magnet, ca Hall A Jefferson Lab, Dec 3, 28 Software Workshop p.15

16 HAMC Goals Understand the acceptance-averaging of asymmetry. Design collimator for PREX. Compute sensitivities to position, angle, energy. E & M radiative corrections to point asymmetry (HAPPEX-III). Simulation of PVDIS trigger. Develop strategies to study transverse asymmetry systematics. Study MFT model dependence for PREX. etc... Hall A Jefferson Lab, Dec 3, 28 Software Workshop p.16

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