English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Searching for pulsars using image pattern recognition

Zhu, W. W., Berndsen, A., Madsen, E. C., Tan, M., Stairs, I. H., Brazier, A., et al. (2014). Searching for pulsars using image pattern recognition. The Astrophysical Journal, 781: 117. doi:10.1088/0004-637X/781/2/117.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0014-7863-A Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0024-8E44-0
Genre: Journal Article

Files

show Files
hide Files
:
1309.0776.pdf (Preprint), 768KB
Name:
1309.0776.pdf
Description:
File downloaded from arXiv at 2013-10-29 13:56
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-

Locators

show

Creators

show
hide
 Creators:
Zhu, W. W., Author
Berndsen, A., Author
Madsen, E. C., Author
Tan, M., Author
Stairs, I. H., Author
Brazier, A., Author
Lazarus, P., Author
Lynch, R., Author
Scholz, P., Author
Stovall, K., Author
Ransom, S. M., Author
Banaszak, S., Author
Biwer, C. M., Author
Cohen, S., Author
Dartez, L. P., Author
Flanigan, J., Author
Lunsford, G., Author
Martinez, J. G., Author
Mata, A., Author
Rohr, M., Author
Walker, A., AuthorAllen, B.1, Author              Bhat, N. D. R., AuthorBogdanov, S., AuthorCamilo, F., AuthorChatterjee, S., AuthorCordes, J. M., AuthorCrawford, F., AuthorDeneva, J. S., AuthorDesvignes, G., AuthorFerdman, R. D., AuthorFreire, P. C. C., AuthorHessels, J. W. T., AuthorJenet, F. A., AuthorKaplan, D., AuthorKaspi, V. M., AuthorKnispel, B.1, Author              Lee, K. J., Authorvan Leeuwen, J., AuthorLyne, A. G., AuthorMcLaughlin, M. A., AuthorSiemens, X., AuthorSpitler, L. G., AuthorVerkataraman, A., Author more..
Affiliations:
1Observational Relativity and Cosmology, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society, ou_24011              

Content

show
hide
Free keywords: Astrophysics, Instrumentation and Methods for Astrophysics, astro-ph.IM
 Abstract: In this paper, we present a novel artificial intelligence (AI) program that identifies pulsars from recent surv eys using image pattern recognition with deep neural nets---the PICS(Pulsar Image-based Classification System) AI. The AI mimics human experts and distinguishes pulsars from noise and interferences by looking for patterns from candidate. The information from each pulsar candidate is synthesized in four diagnostic plots, which consist of up to thousands pixel of image data. The AI takes these data from each candidate as its input and uses thousands of such candidates to train its $\sim$9000 neurons. Different from other pulsar selection programs which use pre-designed patterns, the PICS AI teaches itself the salient features of different pulsars from a set of human-labeled candidates through machine learning. The deep neural networks in this AI system grant it superior ability in recognizing various types of pulsars as well as their harmonic signals. The trained AI's performance has been validated with a large set of candidates different from the training set. In this completely independent test, PICS ranked 264 out of 277 pulsar-related candidates, including all 56 previously known pulsars, to the top 961 (1%) of 90008 test candidates, missing only 13 harmonics. The first non-pulsar candidate appears at rank 187, following 45 pulsars and 141 harmonics. Performance of this system can be improved over time as more training data are accumulated. This AI system has been integrated into the PALFA survey pipeline and has discovered three new pulsars to date.

Details

show
hide
Language(s):
 Dates: 2013-09-032013-09-062014
 Publication Status: Published in print
 Pages: 26 pages, 8 figures, two tables, submitted to ApJ
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: arXiv: 1309.0776
DOI: 10.1088/0004-637X/781/2/117
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: The Astrophysical Journal
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Chicago, IL : University of Chicago Press for the American Astronomical Society
Pages: - Volume / Issue: 781 Sequence Number: 117 Start / End Page: - Identifier: ISSN: 0004-637X
CoNE: /journals/resource/954922828215_3