31,929 research outputs found
Delayed Onset and Fast Rise of Prompt Optical-UV Emission from Gamma-Ray Bursts in Molecular Clouds
Observations imply that long \gamma-ray bursts (GRBs) are originated from
explosions of massive stars, therefore they may occur in the molecular clouds
where their progenitors were born. We show here that the prompt optical-UV
emission from GRBs may be delayed due to the dust extinction, which can well
explain the observed optical delayed onset and fast rise in GRB 080319B. The
density and the size of the molecular cloud around GRB 080319B are roughly
constrained to be \sim10^3cm^{-3} and \sim 8pc, respectively. We also
investigate the other GRBs with prompt optical-UV data, and find similar values
of the densities and sizes of the local molecular clouds. The future
observations of prompt optical-UV emission from GRBs in subsecond timescale,
e.g., by UFFO-Pathfinder and SVOM-GWAC, will provide more evidence and probes
of the local GRB environments.Comment: 15 pages, 5 figures, RAA 13 (2013) 57-70, typo correctio
Modeling Surface Appearance from a Single Photograph using Self-augmented Convolutional Neural Networks
We present a convolutional neural network (CNN) based solution for modeling
physically plausible spatially varying surface reflectance functions (SVBRDF)
from a single photograph of a planar material sample under unknown natural
illumination. Gathering a sufficiently large set of labeled training pairs
consisting of photographs of SVBRDF samples and corresponding reflectance
parameters, is a difficult and arduous process. To reduce the amount of
required labeled training data, we propose to leverage the appearance
information embedded in unlabeled images of spatially varying materials to
self-augment the training process. Starting from an initial approximative
network obtained from a small set of labeled training pairs, we estimate
provisional model parameters for each unlabeled training exemplar. Given this
provisional reflectance estimate, we then synthesize a novel temporary labeled
training pair by rendering the exact corresponding image under a new lighting
condition. After refining the network using these additional training samples,
we re-estimate the provisional model parameters for the unlabeled data and
repeat the self-augmentation process until convergence. We demonstrate the
efficacy of the proposed network structure on spatially varying wood, metals,
and plastics, as well as thoroughly validate the effectiveness of the
self-augmentation training process.Comment: Accepted to SIGGRAPH 201
Implications on --glueball mixing from Decays
We point out that the recent Belle measurements of the decays imply large pseudoscalar glueball contents in the
meson. These decays are studied in the perturbative QCD
(PQCD) approach, considering the -- mixing, where
represents the pseudoscalar glueball. It is shown that the PQCD predictions for
the branching ratios agree well with the data
for the mixing angle between the flavor-singlet state
and the pure pseudoscalar glueball. Extending the formalism to the
--- tetramixing, the abnormally large observed branching ratios are also explained. The proposed mixing formalism is
applicable to other heavy meson decays into mesons, and could
be tested by future LHCb and Super- factory data.Comment: Improved version, references added, 7 pages, 1 figur
Study of the weak annihilation contributions in charmless decays
In this paper, in order to probe the spectator-scattering and weak
annihilation contributions in charmless (where stands for a
light vector meson) decays, we perform the -analyses for the end-point
parameters within the QCD factorization framework, under the constraints from
the measured , , and
decays. The fitted results indicate that the end-point
parameters in the factorizable and nonfactorizable annihilation topologies are
non-universal, which is also favored by the charmless and (where
stands for a light pseudo-scalar meson) decays observed in the previous
work. Moreover, the abnormal polarization fractions measured by the LHCb
collaboration can be reconciled through the weak annihilation corrections.
However, the branching ratio of decay exhibits a
tension between the data and theoretical result, which dominates the
contributions to in the fits. Using the fitted end-point
parameters, we update the theoretical results for the charmless
decays, which will be further tested by the LHCb and Belle-II experiments in
the near future.Comment: 31 pages, 4 figures, 6 table
Planck Constraints on Holographic Dark Energy
We perform a detailed investigation on the cosmological constraints on the
holographic dark energy (HDE) model by using the Planck data. HDE can provide a
good fit to Planck high-l (l>40) temperature power spectrum, while the
discrepancy at l=20-40 found in LCDM remains unsolved in HDE. The Planck data
alone can lead to strong and reliable constraint on the HDE parameter c. At 68%
CL, we get c=0.508+-0.207 with Planck+WP+lensing, favoring the present phantom
HDE at > 2sigma CL. Comparably, by using WMAP9 alone we cannot get interesting
constraint on c. By combining Planck+WP with the BAO measurements from
6dFGS+SDSS DR7(R)+BOSS DR9, the H0 measurement from HST, the SNLS3 and Union2.1
SNIa data sets, we get 68% CL constraints c=0.484+-0.070, 0.474+-0.049,
0.594+-0.051 and 0.642+-0.066. Constraints can be improved by 2%-15% if we
further add the Planck lensing data. Compared with the WMAP9 results, the
Planck results reduce the error by 30%-60%, and prefer a phantom-like HDE at
higher CL. We find no evident tension between Planck and BAO/HST. Especially,
the strong correlation between Omegam h^3 and dark energy parameters is helpful
in relieving the tension between Planck and HST. The residual
chi^2_{Planck+WP+HST}-chi^2_{Planck+WP} is 7.8 in LCDM, and is reduced to 1.0
or 0.3 if we switch dark energy to the w model or the holographic model. We
find SNLS3 is in tension with all other data sets; for Planck+WP, WMAP9 and
BAO+HST, the corresponding Delta chi^2 is 6.4, 3.5 and 4.1, respectively.
Comparably, Union2.1 is consistent with these data sets, but the combination
Union2.1+BAO+HST is in tension with Planck+WP+lensing, corresponding to a Delta
chi^2 8.6 (1.4% probability). Thus, it is not reasonable to perform an
all-combined (CMB+SNIa+BAO+HST) analysis for HDE when using the Planck data.
Our tightest self-consistent constraint is c=0.495+-0.039 obtained from
Planck+WP+BAO+HST+lensing.Comment: 29 pages, 11 figures, 3 tables; version accepted for publication in
JCA
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