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相关论文: Classifying Seyfert galaxies with deep learning

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The Fermi/LAT collaboration recently reported the detection of starburt galaxies in the high energy gamma-ray domain, as well as radio-loud narrow-line Seyfert 1 objects. Motivated by the presence of sources close to the location of…

宇宙学与河外天体物理 · 物理学 2015-05-19 Jean-Philippe Lenain , Claudio Ricci , Marc Türler , Daniela Dorner , Roland Walter

We study the radio properties at 1.4 GHz of Seyfert galaxies with strong forbidden high-ionization lines (FHILs), selected from the Sloan Digital Sky Survey - a large-sized sample containing nearly equal proportion of diverse range of…

星系天体物理 · 物理学 2016-01-05 Dharam V. Lal

We present results from a study to detect variable galaxies in the Hubble Deep Field North. The goal of this project is to investigate the number density of AGN at z=1 through the detection of variable galaxy nuclei. The advantage of HST is…

天体物理学 · 物理学 2009-10-31 V. L. Sarajedini , R. L. Gilliland , M. M. Phillips

Classification of intermediate redshift ($z$ = 0.3--0.8) emission line galaxies as star-forming galaxies, composite galaxies, active galactic nuclei (AGN), or low-ionization nuclear emission regions (LINERs) using optical spectra alone was…

The Unified Model of Active Galactic Nuclei (AGN) has provided a successful explanation for the observed diversity of AGN in the local Universe. However, recent analysis of multi-wavelength spectral and image data suggests that the Unified…

宇宙学与河外天体物理 · 物理学 2015-06-12 M. J. Rutkowski , P. R. Hegel , Hwihyun Kim , Kazuyuki Tamura , R. A. Windhorst

Galaxies can be described by features of their optical spectra such as oxygen emission lines, or morphological features such as spiral arms. Although spectroscopy provides a rich description of the physical processes that govern galaxy…

天体物理仪器与方法 · 物理学 2020-12-01 John F. Wu , J. E. G. Peek

We used narrowband interference filters with the CCD imaging camera on the Nickel 1.0 meter telescope at Lick Observatory to observe 31 nearby (z < 0.03) Seyfert galaxies in the 12 {\mu}m Active Galaxy Sample. We obtained pure emission line…

星系天体物理 · 物理学 2016-05-11 R. L. Theios , M. A. Malkan , N. R. Ross

We demonstrate the ability of convolutional neural networks (CNNs) to mitigate systematics in the virial scaling relation and produce dynamical mass estimates of galaxy clusters with remarkably low bias and scatter. We present two models,…

宇宙学与河外天体物理 · 物理学 2020-12-23 Matthew Ho , Markus Michael Rau , Michelle Ntampaka , Arya Farahi , Hy Trac , Barnabas Poczos

We present optical spectropolarimetry of the nuclei of 36 Seyfert 1 galaxies, obtained with the William Herschel and the Anglo-Australian Telescopes from 1996 to 1999. In 20 of these, the optical emission from the active nucleus is…

天体物理学 · 物理学 2008-11-26 J. E. Smith , S. Young , A. Robinson , E. A. Corbett , M. E. Giannuzzo , D. J. Axon , J. H. Hough

(Abridged) We describe a sample of low-mass Seyfert 2 galaxies selected from the Sloan Digital Sky Survey, having a median absolute magnitude of M_g = -19.0 mag. These galaxies are Type 2 counterparts to the Seyfert 1 galaxies with…

天体物理学 · 物理学 2009-11-13 A. J. Barth , J. E. Greene , L. C. Ho

Optical spectra of 14 emission-line galaxies representative of the 1999 NICMOS parallel grism Ha survey of McCarthy et al. are presented. Of the 14, 9 have emission lines confirming the redshifts found in the grism survey. The higher…

天体物理学 · 物理学 2009-11-07 Erin K. S. Hicks , Matthew A. Malkan , Harry I. Teplitz , Patrick J. McCarthy , Lin Yan

In the absence of the two emission lines H$\alpha$ and [NII] (6584\AA) in a BPT diagram, we show that other spectral information is sufficiently informative to distinguish AGN galaxies from star-forming galaxies. We use pattern recognition…

星系天体物理 · 物理学 2018-06-06 Hossen Teimoorinia , Jared Keown

Using the large emission line galaxy sample from the Sloan Digital Sky Survey we show that Star forming galaxies, Seyferts, and low-ionization nuclear emission-line regions (LINERs) form clearly separated branches on the standard optical…

天体物理学 · 物理学 2007-07-03 Brent Groves , Lisa Kewley

A modification of the popular unification model for Seyfert galaxies is proposed, which takes into account recent observational findings on the statistical properties of both type 1 and type 2 Seyferts. In the proposed scenario,…

天体物理学 · 物理学 2007-05-23 Giorgio Matt

We probed the relation between line activities of Seyfert 2 galaxies and their host galaxies. We selected Seyfert 2 galaxies from the Sloan Digital Sky Survey Data Release 10 with redshifts less 0.2. We used the luminosity of the emission…

星系天体物理 · 物理学 2019-03-12 Yen-Chen Chen , Chorng-Yuan Hwang

We present an X-ray spectroscopic study of optically selected (SDSS) Seyfert 2 (Sy2) galaxies. The goal is to study the obscuration of Sy2 galaxies beyond the local universe, using good quality X-ray spectra in combination with high S/N…

There is a great need for accurate and autonomous spectral classification methods in astrophysics. This thesis is about training a convolutional neural network (ConvNet) to recognize an object class (quasar, star or galaxy) from…

计算机视觉与模式识别 · 计算机科学 2014-12-30 Pavel Hála

We present near-IR integral field spectroscopy of a sample of 31 Seyfert and LINER galaxies which were selected both to span a wide range of nuclear magnitudes and to possess roughly equal numbers of Seyfert type 1 and 2 nuclei. Moderate…

天体物理学 · 物理学 2009-11-06 R. M. Sosa-Brito , L. E. Tacconi-Garman , M. D. Lehnert , J. F. Gallimore

We present a catalogue of ROSAT detected sources in the sample of spectroscopically selected Seyfert 1 and Seyfert 2 galaxies of Rafanelli et al. (1995). The catalogue contains 102 Seyfert 1 and 36 Seyfert 2 galaxies. The identification is…

天体物理学 · 物理学 2009-11-06 F. Pfefferkorn , Th. Boller , P. Rafanelli

Seyfert-type AGN that exhibit unusually strong and steep soft X-ray spectra are reviewed, building on observations made during the ROSAT all-sky survey. Two individual cases are described in brief detail, both being identified initially in…

天体物理学 · 物理学 2007-05-23 K. A. Pounds , W. N. Brandt