Published January 11, 2012 | Version v1
Journal article

Design of the LORD experiment and perspectives of ultrahigh-energy particles observation

  • 1. P.N. Lebedev Physical Institute, Leninskii Pr. 53, Moscow (Russian Federation)

Description

The feasibility of using the Lunar Orbital Radio Detector (LORD) to detect radio signals from showers initiated by ultrahigh-energy particles interacting with the lunar regolith is studied. The design of the LORD space apparatus is presented. The simulation by the Monte Carlo method has shown the necessity to take into account the radio signal reflection from the lower Lunar regolith boundary. As a result, the increase of the observation efficiency of true events increases by several times. This fact greatly enhances the scientific potential of experiments with the lunar orbital radio detector.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.nima.2010.11.044

Additional details

Identifiers

DOI
10.1016/j.nima.2010.11.044;
PII
S0168-9002(10)02507-6;

Publishing Information

Journal Title
Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment
Journal Volume
662
Journal Issue
Suppl.1
Journal Page Range
p. S99-S102
ISSN
0168-9002
CODEN
NIMAER

Conference

Title
4. international workshop on acoustic and radio EeV neutrino detection activities
Acronym
ARENA 2010
Dates
29 Jun - 2 Jul 2010
Place
Nantes (France)

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
44002421
Subject category
S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY;
Resource subtype / Literary indicator
Conference
Descriptors DEI
CHERENKOV RADIATION; COSMIC SHOWERS; DESIGN; EEV RANGE; EFFICIENCY; MONTE CARLO METHOD; REFLECTION; SIMULATION
Descriptors DEC
CALCULATION METHODS; COSMIC RADIATION; ELECTROMAGNETIC RADIATION; ENERGY RANGE; IONIZING RADIATIONS; RADIATIONS; SECONDARY COSMIC RADIATION; SHOWERS

Optional Information

Copyright
Copyright (c) 2010 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.