UPDATE Matt King 09/06/2015 Overview 2 Plan for paper simulation - - PowerPoint PPT Presentation

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UPDATE Matt King 09/06/2015 Overview 2 Plan for paper simulation - - PowerPoint PPT Presentation

1 MOEDAL SIMULATION UPDATE Matt King 09/06/2015 Overview 2 Plan for paper simulation Overall plan Details Issues MoEDAL collaboration meeting Plan for talk 09/06/2015 Matthew King, IFIC Plan for paper simulation 3


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SLIDE 1

MOEDAL SIMULATION UPDATE

Matt King

09/06/2015

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SLIDE 2

Overview

 Plan for paper simulation

 Overall plan  Details  Issues

 MoEDAL collaboration meeting

 Plan for talk

09/06/2015 Matthew King, IFIC

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SLIDE 3

Plan for paper simulation

 Parameterize efficiency over several model points:

 First pass model points and production range:  Points:

 m = 100GeV, 1000GeV, 3000GeV  q = 0.5, 1.0, 2.0

 Production:

 θ

= 2.4  3.0 (MMT acceptance, wide coverage)

 φ

= -2.7  -0.5 (MMT acceptance, wide coverage)

 KE = 0

 1000GeV (feedback? ck?)

 Parameterize efficiency for each point in terms of:  Ez  Y projection of θ, φ (at approximate MMT z position)

 Run generation phase only for new models to get θ, φ, KE values  Obtain efficiency from parameterized graphs

09/06/2015 Matthew King, IFIC

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SLIDE 4

Plan for paper simulation

 Parameterized efficiency tables:

 Take a long time to create.  Do not take up much space.  Enable fast calculation of efficiency from models

 Can generate several tables for different geometry variations

 May allow for systematic estimation of error from geometry

 May take of order a week to generate new set of tables from a new

geometry

 Geneva batch system availability is variable  Grid may be better, but have had problems trying to get it to work 09/06/2015 Matthew King, IFIC

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SLIDE 5

Issues

 Code for generation of efficiency tables is already in place

 Have initial testing tables (1M events) ready  Will require a set of “final” geometries to actually produce results

 Currently writing new nTuple writer algorithm for Gauss Generation

phase

 Original plan was to run, but immediately kill Simulation phase

 Slow, simulation still needs to be set up and started. Messy.  Instead, run only the Generation phase  MonopoleTupleAlg is part of the SimMonitor Gaudi chain, never gets called  New tool (GenTupleAlg) sits in the GenMonitor chain and outputs generator

results

 Cannot simply copy MonopoleTupleAlg code. “StoreGate” classes used are

different between Sim and Gen.

 Looking into using Gauss built in Ntuple output. This is the official LHCb

method, but could never make it work before.

09/06/2015 Matthew King, IFIC

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SLIDE 6

MoEDAL collaboration talk

 We were in very early stages for the talk last year

https://indico.cern.ch/event/320391/contribution/5/material/slides/1.pdf

 A reminder of some advances for software framework alone:  Proper infrastructure: svn, batch system, CernVM image  Addressed problems arising from “Magnetic field drift”  Fixed memory usage problems, allowing for longer simulations  Removal of non-monopoles from Simulation phase, vastly speeding up

process

 LHE based generation as well as improved particle gun  Far fuller understanding of the Geant4 dE/dx calculation  Implementation of MMT/NTD hit generation in Geant4  MMT efficiency calculation  (Identified LHCb Random Number Generator issue) 09/06/2015 Matthew King, IFIC

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SLIDE 7

MoEDAL collaboration talk

 Basic idea:

 Outline developments made, want to demonstrate that real

progress has been made.

 In more detail:  G4 dE/dx equation research

 dE/dx eqn is the main thing people are conceptually interested in. It’s

validity is essential, low beta model concerns may come up.

 MMT efficiency calculations and current results

 This is the main tool we will use for the paper, everyone must understand

what the situation is.

 Plan for paper:  Similar to previous slides in this document, but with more detail and

explanation

 Estimation of Geometry errors: should this be in mine or Rafal’s talk? 09/06/2015 Matthew King, IFIC

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