The nonlinear least square fitting for rotation curve of orion dwarf spiral

The basis of the nonlinear least square fitting is to fit the nonlinear rotation curve model with the observed rotation curve of the Orion dwarf galaxy. It has been the most powerful tool to study the distribution of dark matter in galaxies where it is used to obtain the proper mass model of a galax...

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Main Authors: Hashim, N., Abidin, Z.Z., Ibrahim, U.F.S.U., Hassan, M.S.R., Hamidi, Z.S., Umar, R., Ibrahim, Z.A.
Format: Article
Language:English
Published: Universiti Kebangsaan Malaysia 2015
Online Access:http://journalarticle.ukm.my/8489/
http://journalarticle.ukm.my/8489/1/18_N._Hashim.pdf
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author Hashim, N.
Abidin, Z.Z.
Ibrahim, U.F.S.U.
Hassan, M.S.R.
Hamidi, Z.S.
Umar, R.
Ibrahim, Z.A.
author_facet Hashim, N.
Abidin, Z.Z.
Ibrahim, U.F.S.U.
Hassan, M.S.R.
Hamidi, Z.S.
Umar, R.
Ibrahim, Z.A.
author_sort Hashim, N.
building UKM Institutional Repository
collection Online Access
description The basis of the nonlinear least square fitting is to fit the nonlinear rotation curve model with the observed rotation curve of the Orion dwarf galaxy. It has been the most powerful tool to study the distribution of dark matter in galaxies where it is used to obtain the proper mass model of a galaxy. In this paper, we present the rotation curve fit of Orion dwarf galaxy, corrected for asymmetric drift by using the gradient method of nonlinear least square. Our results showed an excellent agreement between the mass models of cored halo profile with the observed rotation curve. Thus, we can estimate the value of disk mass, MD; the core radius, r0 and core density, ro of the galaxy with 1-s of uncertainty. We finally indicated the dark matter halo distribution as cored dark matter halo with density, 3.9 × 106MŸ kpc-3.
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spelling oai:generic.eprints.org:84892016-12-14T06:47:19Z http://journalarticle.ukm.my/8489/ The nonlinear least square fitting for rotation curve of orion dwarf spiral Hashim, N. Abidin, Z.Z. Ibrahim, U.F.S.U. Hassan, M.S.R. Hamidi, Z.S. Umar, R. Ibrahim, Z.A. The basis of the nonlinear least square fitting is to fit the nonlinear rotation curve model with the observed rotation curve of the Orion dwarf galaxy. It has been the most powerful tool to study the distribution of dark matter in galaxies where it is used to obtain the proper mass model of a galaxy. In this paper, we present the rotation curve fit of Orion dwarf galaxy, corrected for asymmetric drift by using the gradient method of nonlinear least square. Our results showed an excellent agreement between the mass models of cored halo profile with the observed rotation curve. Thus, we can estimate the value of disk mass, MD; the core radius, r0 and core density, ro of the galaxy with 1-s of uncertainty. We finally indicated the dark matter halo distribution as cored dark matter halo with density, 3.9 × 106MŸ kpc-3. Universiti Kebangsaan Malaysia 2015-03 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/8489/1/18_N._Hashim.pdf Hashim, N. and Abidin, Z.Z. and Ibrahim, U.F.S.U. and Hassan, M.S.R. and Hamidi, Z.S. and Umar, R. and Ibrahim, Z.A. (2015) The nonlinear least square fitting for rotation curve of orion dwarf spiral. Sains Malaysiana, 44 (3). pp. 457-462. ISSN 0126-6039 http://www.ukm.my/jsm/
spellingShingle Hashim, N.
Abidin, Z.Z.
Ibrahim, U.F.S.U.
Hassan, M.S.R.
Hamidi, Z.S.
Umar, R.
Ibrahim, Z.A.
The nonlinear least square fitting for rotation curve of orion dwarf spiral
title The nonlinear least square fitting for rotation curve of orion dwarf spiral
title_full The nonlinear least square fitting for rotation curve of orion dwarf spiral
title_fullStr The nonlinear least square fitting for rotation curve of orion dwarf spiral
title_full_unstemmed The nonlinear least square fitting for rotation curve of orion dwarf spiral
title_short The nonlinear least square fitting for rotation curve of orion dwarf spiral
title_sort nonlinear least square fitting for rotation curve of orion dwarf spiral
url http://journalarticle.ukm.my/8489/
http://journalarticle.ukm.my/8489/
http://journalarticle.ukm.my/8489/1/18_N._Hashim.pdf