---------- Forwarded message ----------
Date: Fri Jun  6 11:04:09 2003 BST
From: AHM2003 - CyberChair <anna@nesc.ac.uk>
To: clat@hep.ph.bham.ac.uk
Cc: r.perrott@qub.ac.uk, anna@nesc.ac.uk
Subject: AHM2003 Abstract Submission Form Feedback

Dear Chun Lik, 

You have submitted the following data for the AHM2003 Conference:

-=-=-=-=-= Beginning of submission data (step 1)=-=-=-=-=-


Contact Person: 
	Name: Chun Lik Tan
	Address:
		School of Physics and Astronomy,
		University of Birmingham,
		Edgbaston,
		Birmingham B15 2TT
	Phone: 01214158315
	Fax: 01214146079
	Email: clat@hep.ph.bham.ac.uk

Title: ATLAS Monte Carlo Production System

Author 1:
	Name: Chun Lik Tan
	Affiliation: University of Birmingham

Author2:
	Name: Luc Goossens
	Affiliation: CERN

Author3:
	Name: Vandy Berten
	Affiliation: CERN

Author is PC Member: No

Main Fields:
[None Given]

Other Main Fields:
User Interface

Abstract:
The production of simulated or Monte Carlo events is an important part of
every particle physics experiment. In ATLAS, this tedious, error-prone and
often highly repetitive task is undertaken by a handful of expert production
managers. Typically, the normal physicist needs to request for Monte Carlo
events in advance and is unable to implement ideas and experiment with minor
variations in job parameters within an acceptable round time. This
unsatisfactory round time delay and the overall associated complexity of Monte
Carlo production prevents the physicist from focusing on the physics and
testing his ideas in an efficient and straightforward manner.

The ATLAS Monte Carlo production system shields the physicist from the
underlying complexity (i.e. knowledge of system specifics is not required) and
presents him/her with a consistent, flexible and intuitive interface to
on-demand Monte Carlo production. The system harnesses the power and capacity
of grid computing allowing the physicist to tap on a worldwide computing
resource pool and opens up possibilities never before available to an
individual physicist. 

The first prototype of the ATLAS Monte Carlo production system, AtCom (short
for ATLAS Commander) has been developed in partnership with CERN and has been
in active use in the ongoing ATLAS data challenges. The basic features include
job creation, submission, monitoring, validation and updating of bookkeeping
databases.

Future versions of the ATLAS Monte Carlo production system will be based on
the final grid interface GANGA, a collaborative effort between the ATLAS and
LHCb experiments. Apart from providing access to Grid and legacy computing
resources, GANGA, with its Python bus architecture, will potentially allow the
Monte Carlo production system to interface with other complementary software
e.g. Atlantis (visualisation package) and JOE (Athena job options editor) as
they become available.

Keywords:  Grid computing, Component architecture, Job management, High-energy
physics applications


Remarks:
[None Given]

-=-=-=-=-=-= End of abstract submission data =-=-=-=-=-=-


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