1 / 9

H all A M onte C arlo -- HAMC

H all A M onte C arlo -- HAMC. Similar to A. Deur’s ``Single Arm Monte Carlo’’ “Fast” Monte Carlo -- not Geant ROOT / C++ Framework For HAPPEX, PVDIS, PREX (& others ?) Work in Progress -- Timeline:

tegan
Download Presentation

H all A M onte C arlo -- HAMC

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Hall AMonte Carlo -- HAMC • Similar to A. Deur’s ``Single Arm Monte Carlo’’ • “Fast” Monte Carlo -- not Geant • ROOT / C++ Framework • For HAPPEX, PVDIS, PREX (& others ?) • Work in Progress -- Timeline: • Version for co-developers (Kent) -- Sept 2008 • Full Report -- Winter Software Meeting

  2. HAMC -- Ingredients • Generate random Z location in target • Cross-section: (optional) weights for histograms • Physics asymmetry • Internal & External Bremmstrahlung in target • Spectrometer with Acceptance & Transport Models • Multiple scattering at material locations • Septum option • Global variables, histograms, ntuples • Outputs to pan & Podd (the physics analyzers) Design: http://hallaweb.jlab.org/parity/prex/hamc

  3. Goals of HAMC • EM corrections • Syst errors: analyzing power, backgrounds, etc • Sensitivity to position, angle, energy • Determine optimal detector geometry • Strategies for transverse asymmetries • Model dependence of RN • Target optimization …. etc ….

  4. C++ 101 : Design reflects the Description of Problem “PREX is a type of experiment which contains a spectrometer , target, etc. In each event the beam (a type of track), scatters from target and produces more tracks, which transport in accord with the spectrometer’s transport model … etc …” Stuff underlined = the classes “is a type of” inheritance “contains” or possessive modifier  containment + usage relationships

  5. How to be faster than Geant … • Fast transport • Fast sampling 7 6 3 5 2 1 4 . . . etc . . .

  6. Some Design Issues The spectrometer’s Transport Model Transport Matrix  Lerose Functions  Guido’s Functions ? The experiment’s Physics HAPPEX – III  PREX (Diana’s work)  PVDIS Spectrometer’s have ``break points’’: Locations where apertures defined (acceptance) where to transport tracks where to do multiple scattering (possibly)

  7. Global Variables Each class can register variables & put in histograms. Weighted by cross section or not. Histograms tied to ``break points’’ in spectrometer Variables may be iterated between two runs of an experiment (study dependence on variables). ASCII control file Inform which variables to iterate and by how much Define Ntuples, and other misc control of code

  8. Cross Section vs angle Work by Diana Jaunzeikare (Smith College) E = 0.85 GeV Horowitz vs FF Parameterization E = 1.0 GeV E = 1.2 GeV

  9. Work by Diana Jaunzeikare (Smith College) Asymmetry vs theta.CompareHorowitz to 1st Order Calc. E = 1.2 GeV E = 0.85 GeV E = 1.0 GeV

More Related