STI Publications - View Publication Form #16263

Back to Search Results Print
Publication Information
Title Automated and Distributed Monte Carlo Generation for GlueX
Abstract MCwrapper is a set of systems that manages the entire Monte Carlo production workflow for GlueX and provides standards for how that Monte Carlo is produced. MCwrapper was designed to be able to utilize a variety of batch systems in a way that is relatively transparent to the user, thus enabling users to quickly and easily produce valid simulated data at home institutions worldwide. Additionally, MCwrapper supports an autonomous system that takes user's project submissions via a custom web application. The system then atomizes the project into individual jobs, matches these jobs to resources, and monitors the jobs status. The entire system is managed by a database which tracks almost all facets of the systems from user submissions to the individual jobs themselves. Users can interact with their submitted projects online via a dashboard or, in the case of testing failure, can modify their project requests from a link contained in an automated email. Beginning in 2018 the GlueX Collaborat
Author(s) Thomas Britton
Publication Date November 2020
Document Type Meeting, Proceedings
Primary Institution Thomas Jefferson National Accelerator Facility, Newport News
Affiliation Comp Sci&Tech (CST) Div / Scientific Computing / Scientific Computing
Funding Source Nuclear Physics (NP)
Proprietary? No
This publication conveys Technical Science Results
Document Numbers
JLAB Number: JLAB-CIO-20-3316 OSTI Number: 1737569
LANL Number: Other Number: DOE/OR/23177-5105
Associated with an experiment Yes
Experiment Number(s)
E12-12-001
Associated with EIC No
Supported by Jefferson Lab LDRD Funding No
Meeting / Conference
Meeting Name CHEP 2019
Meeting Date 10/4/2019
Document Subtype Paper (proceedings only)
Proceedings
Title CHEP 2019
Editor(s)
Publisher EPJ Web Conf. 245
Refereed No
Page Number 03028
Year 2020
Attachments/Datasets/DOI Link
Document(s)
10.1051_epjconf_202024503028.pdf (Accepted Manuscript)
DOI Link
Dataset(s) (none)
Back to Search Results Print