3,687 research outputs found
Mid-infrared variability of changing-look AGN
It is known that some active galactic nuclei (AGNs) transited from type 1 to
type 2 or vice versa. There are two explanations for the so-called changing
look AGNs: one is the dramatic change of the obscuration along the
line-of-sight, the other is the variation of accretion rate. In this paper, we
report the detection of large amplitude variations in the mid-infrared
luminosity during the transitions in 10 changing look AGNs using WISE and newly
released NEOWISE-R data. The mid-infrared light curves of 10 objects echoes the
variability in the optical band with a time lag expected for dust reprocessing.
The large variability amplitude is inconsistent with the scenario of varying
obscuration, rather supports the scheme of dramatic change in the accretion
rate.Comment: Published by ApjL, 7 pages, 3 figures, 2 table
Performance Analysis of Joint Base-Station Multiantenna Multibeam and Channel Assignment Scheme for Hierarchical Cellular System
Different from the traditional configuration of hierarchical cellular, we introduce the joint base-station multi-antenna multi-beam and channel assignment scheme for hierarchical cellular in this paper. The proposed scheme is based on multi-beam base-station antenna splitting in the elevation-radiating plane, and a dynamic channel allocation scheme by combining the adaptive antenna technologies. Simulation results show that the proposed configuration of the hierarchical cellular can enhance the spectral efficiency remarkably
Single-layer behavior and slow carrier density dynamic of twisted graphene bilayer
We report scanning tunneling microscopy (STM) and spectroscopy (STS) of
twisted graphene bilayer on SiC substrate. For twist angle ~ 4.5o the Dirac
point ED is located about 0.40 eV below the Fermi level EF due to the electron
doping at the graphene/SiC interface. We observed an unexpected result that the
local Dirac point around a nanoscaled defect shifts towards the Fermi energy
during the STS measurements (with a time scale about 100 seconds). This
behavior was attributed to the decoupling between the twisted graphene and the
substrate during the measurements, which lowers the carrier density of graphene
simultaneously
Discovery of a Mid-infrared Echo from the TDE candidate in the nucleus of ULIRG F01004-2237
We present the mid-infrared (MIR) light curves (LCs) of a tidal disruption
event (TDE) candidate in the center of a nearby ultraluminous infrared galaxy
(ULIRG) F01004-2237 using archival {\it WISE} and {\it NEOWISE} data from 2010
to 2016. At the peak of the optical flare, F01004-2237 was IR quiescent. About
three years later, its MIR fluxes have shown a steady increase, rising by 1.34
and 1.04 mag in and m up to the end of 2016. The host-subtracted
MIR peak luminosity is \,erg\,s. We interpret the MIR
LCs as an infrared echo, i.e. dust reprocessed emission of the optical flare.
Fitting the MIR LCs using our dust model, we infer a dust torus of the size of
a few parsecs at some inclined angle. The derived dust temperatures range from
\,K, and the warm dust mass is . Such a large mass
implies that the dust cannot be newly formed. We also derive the UV luminosity
of \,erg\,s. The inferred total IR energy is
\,erg, suggesting a large dust covering factor. Finally, our
dust model suggests that the long tail of the optical flare could be due to
dust scattering
Optimal subsampling for large scale Elastic-net regression
Datasets with sheer volume have been generated from fields including computer
vision, medical imageology, and astronomy whose large-scale and
high-dimensional properties hamper the implementation of classical statistical
models. To tackle the computational challenges, one of the efficient approaches
is subsampling which draws subsamples from the original large datasets
according to a carefully-design task-specific probability distribution to form
an informative sketch. The computation cost is reduced by applying the original
algorithm to the substantially smaller sketch. Previous studies associated with
subsampling focused on non-regularized regression from the computational
efficiency and theoretical guarantee perspectives, such as ordinary least
square regression and logistic regression. In this article, we introduce a
randomized algorithm under the subsampling scheme for the Elastic-net
regression which gives novel insights into L1-norm regularized regression
problem. To effectively conduct consistency analysis, a smooth approximation
technique based on alpha absolute function is firstly employed and
theoretically verified. The concentration bounds and asymptotic normality for
the proposed randomized algorithm are then established under mild conditions.
Moreover, an optimal subsampling probability is constructed according to
A-optimality. The effectiveness of the proposed algorithm is demonstrated upon
synthetic and real data datasets.Comment: 28 pages, 7 figure
Mid-infrared flare of TDE candidate PS16dtm: dust echo and implications for the spectral evolution
PS16dtm was classified as a candidate tidal disruption event (TDE) in a dwarf
Seyfert 1 galaxy with low-mass black hole () and has presented
various intriguing photometric and spectra characteristics. Using the archival
WISE and the newly released NEOWISE data, we found PS16dtm is experiencing a
mid-infrared (MIR) flare which started days before the first optical
detection. Interpreting the MIR flare as a dust echo requires close
pre-existing dust with a high covering factor, and suggests the optical flare
may have brightened slowly for some time before it became bright detectable
from the ground. More evidence is given at the later epochs. At the peak of the
optical light curve, the new inner radius of the dust torus has grown to much
larger size, a factor of 7 of the initial radius due to strong radiation field.
At days after the first optical detection, the dust temperature has
dropped well below the sublimation temperature. Other peculiar spectral
features shown by PS16dtm are the transient, prominent FeII emission lines and
outflows indicated by broad absorption lines detected during the optical flare.
Our model explains the enhanced FeII emission from iron newly released from the
evaporated dust. The observed broad absorption line outflow could be explained
by accelerated gas in the dust torus due to the radiation pressure.Comment: Accepted by ApJ, 5 figure
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