SIMDET - Version 4 A Parametric Monte Carlo for a TESLA Detector

TL;DR

SIMDET version 4.01 is a parametric Monte Carlo tool designed to simulate the TESLA detector response, incorporating realistic detector component responses and pattern recognition, aiding in detector design and analysis.

Contribution

This paper introduces SIMDET version 4.01, a new release that models TESLA detector responses using parametrisation from BRAHMS and detailed pattern recognition simulation.

Findings

Realistic detector component responses based on BRAHMS data

Complete pattern recognition emulation linking particles to detector signals

Flexible user-configurable parameters for simulation customization

Abstract

A new release of the parametric detector Monte Carlo program \verb+SIMDET+ (version 4.01) is now available. We describe the principles of operation and the usage of this program to simulate the response of a detector for the TESLA linear collider. The detector components are implemented according to the TESLA Technical Design Report. All detector component responses are treated in a realistic way using a parametrisation of results from the {\em ab initio} Monte Carlo program \verb+BRAHMS+. Pattern recognition is emulated using a complete cross reference between generated particles and detector response. Also, for charged particles, the covariance matrix and $dE/dx$ information are made available. An idealised energy flow algorithm defines the output of the program, consisting of particles generically classified as electrons, photons, muons, charged and neutral hadrons as well as unresolved clusters. The program parameters adjustable by the user are described in detail. User hooks inside the program and the output data structure are documented.