English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
 Local TagsRelease HistoryDetailsSummary
  Deep learning for clustering of continuous gravitational wave candidates

Beheshtipour, B., & Papa, M. A. (2020). Deep learning for clustering of continuous gravitational wave candidates. Physical Review D, 101: 064009. doi:10.1103/PhysRevD.101.064009.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/21.11116/0000-0005-78E7-0 Version Permalink: https://hdl.handle.net/21.11116/0000-0006-01BA-7
Genre: Journal Article

Files

show Files
hide Files
:
2001.03116.pdf (Preprint), 7MB
View   Save
File Permalink:
https://hdl.handle.net/21.11116/0000-0005-78E9-E
Name:
2001.03116.pdf
Description:
File downloaded from arXiv at 2020-01-14 10:02
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
View
Copyright Date:
-
Copyright Info:
-
License:
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
:
PhysRevD.101.064009.pdf (Publisher version), 3MB
 
File Permalink:
-
Name:
PhysRevD.101.064009.pdf
Description:
-
OA-Status:
Visibility:
Restricted (Max Planck Institute for Gravitational Physics (Albert Einstein Institute), MPGR; )
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Beheshtipour, Banafsheh1, Author           
Papa, Maria Alessandra1, Author           
Affiliations:
1Searching for Continuous Gravitational Waves, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society, ou_2630691              

Content

show
hide
Free keywords: General Relativity and Quantum Cosmology, gr-qc, Astrophysics, Instrumentation and Methods for Astrophysics, astro-ph.IM, Physics, Data Analysis, Statistics and Probability, physics.data-an
 Abstract: In searching for continuous gravitational waves over very many ($\approx
10^{17}$) templates , clustering is a powerful tool which increases the search
sensitivity by identifying and bundling together candidates that are due to the
same root cause. We implement a deep learning network that identifies clusters
of signal candidates in the output of continuous gravitational wave searches
and assess its performance.

Details

show
hide
Language(s):
 Dates: 2020-01-092020
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: arXiv: 2001.03116
URI: http://arxiv.org/abs/2001.03116
DOI: 10.1103/PhysRevD.101.064009
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Physical Review D
  Other : Phys. Rev. D.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Lancaster, Pa. : American Physical Society
Pages: - Volume / Issue: 101 Sequence Number: 064009 Start / End Page: - Identifier: ISSN: 0556-2821
CoNE: https://pure.mpg.de/cone/journals/resource/111088197762258