Results 21 to 30 of about 22,607 (224)

Power Spectral Density Background Estimate and Signal Detection via the Multitaper Method

open access: yesJournal of Geophysical Research: Space Physics, Volume 126, Issue 2, February 2021., 2021
Abstract We present a new spectral analysis method for the identification of periodic signals in geophysical time series. We evaluate the power spectral density with the adaptive multitaper method, a nonparametric spectral analysis technique suitable for time series characterized by colored power spectral density.
S. Di Matteo, N. M. Viall, L. Kepko
wiley   +1 more source

Jet Directions in Seyfert Galaxies [PDF]

open access: yesThe Astrophysical Journal, 2000
We present the study of the relative angle between the accretion disk (or radio jet) and the galaxy disk for a sample of Seyfert galaxies selected from a mostly isotropic property, the 60$ $m flux. For each galaxy we have a pair of points ($i$,$ $), which are the inclination of the galaxy relative to the line of sight and the angle between the jet ...
Kinney, A. L.   +5 more
openaire   +2 more sources

Looking for Signatures of AGN Feedback in Radio-Quiet AGN

open access: yesGalaxies, 2023
In this article, we discuss the state of “AGN feedback” in radio-quiet (RQ) AGN. This study involves heterogeneous samples of nearby Seyfert and LINER galaxies as well as quasi-stellar objects (QSOs) that have been observed at low radio frequencies (few ∼
Preeti Kharb, Sasikumar Silpa
doaj   +1 more source

Seyfert Galaxies [PDF]

open access: yesSymposium - International Astronomical Union, 1972
The four Seyfert galaxies with systemic velocities of less than 2000 km s−1 have been observed at 21 cm with the Jodrell Bank 250-ft telescope and a 5 MHz overall bandwidth setting of the 256 channel auto-correlation spectrometer. Relatively strong signals of 0.5 f.u.
openaire   +1 more source

Optical Spectroscopy of the IRAS 1-Jy Sample of Ultraluminous Infrared Galaxies [PDF]

open access: yes, 1999
This paper discusses the optical spectroscopic properties of the IRAS 1-Jy sample of ultraluminous infrared galaxies (ULIGs). One hundred and eight of the 118 1-Jy ULIGs have been observed at dlambda = 8.3 AA resolution over the wavelength range ~4500 A -
Allen D. A.   +14 more
core   +2 more sources

Relativistic jets in narrow-line Seyfert 1 galaxies. New discoveries and open questions

open access: yesEPJ Web of Conferences, 2013
Before the launch of the Fermi satellite only two classes of AGNs were known to produce relativistic jets and thus emit up to the γ-ray energy range: blazars and radio galaxies, both hosted in giant elliptical galaxies.
D’Ammando F.   +4 more
doaj   +1 more source

Seyfert galaxies and BeppoSAX [PDF]

open access: yesNuclear Physics B - Proceedings Supplements, 1999
The contributions that BeppoSAX is expected to give and, after one and a half year of operation, has already given to our knowledge of both type 1 and type 2 Seyfert galaxies are outlined and reviewed.
openaire   +3 more sources

X-RAY VARIABILITY STUDY OF POLAR SCATTERED SEYFERT1 GALAXIES

open access: yesActa Polytechnica, 2014
We study 12 Seyfert 1 galaxies with a high level of optical polarization. Optical light emerging from the innermost regions is predominantly scattered in a polar region above the central engine directly in our line of sight.
Tobias Beuchert   +6 more
doaj   +1 more source

Spitzer/IRS Observations of Seyfert 1.8s and 1.9s: A Comparison with Seyfert 1s and Seyfert 2s [PDF]

open access: yes, 2007
We present Spitzer Space Telescope mid-infrared spectra of 12 Seyfert 1.8 and 1.9 galaxies over the 5-38 um region. We compare the spectral characteristics of this sample to those of 58 Seyfert 1 and Seyfert 2 galaxies from the Spitzer archives.
Antonucci R.   +11 more
core   +3 more sources

Classifying Seyfert Galaxies with Deep Learning [PDF]

open access: yesThe Astrophysical Journal Supplement Series, 2021
Abstract The traditional classification for a subclass of the Seyfert galaxies is visual inspection or using a quantity defined as a flux ratio between the Balmer line and forbidden line. One algorithm of deep learning is the convolution neural network (CNN), which has shown successful classification results.
openaire   +2 more sources

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