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相关论文: Estimating galaxy masses from kinematics of globul…

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Statistical analyses of observed galaxy distortions are often used to reconstruct the mass distribution of an intervening cluster responsible for gravitational lensing. In current projects, distortions of thousands of source galaxies have…

天体物理学 · 物理学 2007-05-23 Marco Lombardi , Giuseppe Bertin

Velocity dispersions have been employed as a method to measure masses of clusters. To complement this conventional method, we explore the possibility of constraining cluster masses from the stacked phase space distribution of galaxies at…

星系天体物理 · 物理学 2019-09-04 Akinari Hamabata , Masamune Oguri , Takahiro Nishimichi

This paper follows series of our works on the applicability of various machine learning methods to the morphological galaxy classification (Vavilova et al., 2021, 2022). We exploited the sample of 315776 SDSS DR9 galaxies with absolute…

We present a novel method to recontruct the mass distribution of galaxy clusters from their gravitational lens effect on background galaxies. The method is based on a least-chisquare fit of the two-dimensional gravitational cluster…

天体物理学 · 物理学 2009-10-28 Matthias Bartelmann , Ramesh Narayan , Stella Seitz , Peter Schneider

This paper is the first in a series in which we perform an extensive comparison of various galaxy-based cluster mass estimation techniques that utilise the positions, velocities and colours of galaxies. Our primary aim is to test the…

In recent years, convolutional neural network (CNN) and other deep learning models have been gradually introduced into the area of gravitational-wave (GW) data processing. Compared with the traditional matched-filtering techniques, CNN has…

高能天体物理现象 · 物理学 2021-01-22 Heming Xia , Lijing Shao , Junjie Zhao , Zhoujian Cao

Given the dimensions (including thickness) and rotation speeds for an axisymmetric galaxy, a closed-loop iterative method is designed to find the total mass, density, and surface-mass density (SMD)distributions. There is no need for…

天体物理学 · 物理学 2016-08-30 Kenneth F. Nicholson

We present a systematic comparison between {\it XMM-Newton} velocity maps of the Virgo, Centaurus, Ophiuchus and A3266 clusters and synthetic velocity maps generated from the Illustris TNG-300 simulations. Our goal is to constrain the…

高能天体物理现象 · 物理学 2025-11-27 E. Gatuzz , J. ZuHone , J. S. Sanders , A. Fabian , A. Liu , C. Pinto , S. Walker

Aims: we propose a gravitational potential method (GPM) as a supercluster finder based on the analysis of the local gravitational potential distribution measured by fast and simple algorithm applied to a spatial distribution of mass…

宇宙学与河外天体物理 · 物理学 2013-07-16 Giovanni C. Baiesi Pillastrini

We present a new non-parametric method for determining mean 3D density and mass profiles from weak lensing measurements around stacked samples of galaxies or clusters, that is, from measurement of the galaxy-shear or cluster-shear…

Knowing the redshift of galaxies is one of the first requirements of many cosmological experiments, and as it's impossible to perform spectroscopy for every galaxy being observed, photometric redshift (photo-z) estimations are still of…

天体物理仪器与方法 · 物理学 2022-03-09 Ben Henghes , Connor Pettitt , Jeyan Thiyagalingam , Tony Hey , Ofer Lahav

We explore how information in images of nearby galaxies can be used to estimate their distance. We train a convolutional Neural Network (NN) to do this, using galaxy images from the Illustris simulation. We show that if the NN is trained on…

宇宙学与河外天体物理 · 物理学 2022-04-21 Kevin M. Quigley , Samuel Hori , Rupert A. C. Croft

Numerous studies have demonstrated the ability of Convolutional Neural Networks (CNNs) to classify large numbers of galaxies in a manner which mimics the expertise of astronomers. Such classifications are not always physically motivated,…

星系天体物理 · 物理学 2019-04-24 J. D. Diaz , Kenji Bekki , Duncan A. Forbes , Warrick J. Couch , Michael J. Drinkwater , Simon Deeley

We study motions of galaxies in galaxy clusters formed in the concordance LCDM cosmology. We use high-resolution cosmological simulations that follow dynamics of dark matter and gas and include various physical processes critical for galaxy…

天体物理学 · 物理学 2011-05-12 Andreas Faltenbacher , Andrey V. Kravtsov , Daisuke Nagai , Stefan Gottloeber

We consider the possibility that masses and gravitational potentials of galaxy cluster, estimated at X-ray wavelengths, could be explained without assuming huge amounts of dark matter, but in the context of $f(R)$-gravity. Specifically, we…

天体物理学 · 物理学 2011-02-15 S. Capozziello , E. De Filippis , V. Salzano

We investigate the structural, kinematical, and chemical properties of globular cluster systems (GCSs) in galaxies of different Hubble types in a self-consistent manner based on high-resolution cosmological N-body simulations combined with…

天体物理学 · 物理学 2009-11-13 K. Bekki , H. Yahagi , M. Nagashima , D. A. Forbes

We study the total gravitating mass distribution in the central region of 23 clusters of galaxies with Chandra. Using a new deprojection technique, we measure the temperature and gas density in the very central region of the clusters as a…

天体物理学 · 物理学 2009-11-10 Haruyoshi Katayama , Kiyoshi Hayashida

We revisit the estimation of the combined mass of the Milky Way and Andromeda (M31), which dominate the mass of the Local Group. We make use of an ensemble of 30,190 halo pairs from the Small MultiDark simulation, assuming a $\Lambda$CDM…

星系天体物理 · 物理学 2017-12-27 Michael McLeod , Noam Libeskind , Ofer Lahav , Yehuda Hoffman

Galaxy clusters appear as extended sources in XMM-Newton images, but not all extended sources are clusters. So, their proper classification requires visual inspection with optical images, which is a slow process with biases that are almost…

Galaxy clusters are a promising probe of late-time structure growth, but constraints on cosmology from cluster abundances are currently limited by systematics in their inferred masses. One unmitigated systematic effect in weak-lensing mass…

宇宙学与河外天体物理 · 物理学 2022-10-26 Dylan Cromer , Nicholas Battaglia , Hironao Miyatake , Melanie Simet
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