Published June 18, 2018 | Version v1
Miscellaneous Metadata-only

Mu2e Calorimeter Clustering Studies

Creators

  • 1. Yale University, New Haven, CT (United States)

Description

How Mu2e calorimeter clustering works is described. Two algorithms, Full and Fast are covered in detail.

Availability note (English)

Available from https://www.osti.gov/servlets/purl/1579232; https://www.osti.gov/biblio/1579232; DOE Accepted Manuscript full text, or the publishers Best Available Version will be available free of charge after the embargo period

Additional details

Identifiers

URL
https://www.osti.gov/servlets/purl/1579232; https://www.osti.gov/biblio/1579232;
DOI
10.2172/1579232;

Publishing Information

Imprint Pagination
20 p.
Report number
FERMILAB-SLIDES--18-794-E

Conference

Title
New Perspectives at Fermilab 2018
Dates
18-19 Jun 2018
Place
Batavia, IL (United States)

INIS

Country of Publication
United States
Country of Input or Organization
United States
INIS RN
54043947
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING; S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY;
Resource subtype / Literary indicator
Conference, Non-conventional Literature
Descriptors DEI
ALGORITHMS; CALORIMETERS; COMPUTERIZED SIMULATION
Descriptors DEC
MATHEMATICAL LOGIC; MEASURING INSTRUMENTS; SIMULATION

Optional Information

Contract/Grant/Project number
AC02-07CH11359
Collaborations
Mu2e Collaboration
Funding organization
USDOE Office of Science - SC, High Energy Physics (HEP) (United States)
Secondary number(s)
OSTIID--1579232