1,205 research outputs found
Intervalley Scattering and Localization Behaviors of Spin-Valley Coupled Dirac Fermions
We study the quantum diffusive transport of multivalley massive Dirac cones,
where time-reversal symmetry requires opposite spin orientations in
inequivalent valleys. We show that the intervalley scattering and intravalley
scattering can be distinguished from the quantum conductivity that corrects the
semiclassical Drude conductivity, due to their distinct symmetries and
localization trends. In immediate practice, it allows transport measurements to
estimate the intervalley scattering rate in hole-doped monolayers of group-VI
transition metal dichalcogenides (e.g., molybdenum dichalcogenides and tungsten
dichalcogenides), an ideal class of materials for valleytronics applications.
The results can be generalized to a large class of multivalley massive Dirac
systems with spin-valley coupling and time-reversal symmetry.Comment: 5 pages+4 pages of supplemental materials, 4 figure
LHC Search of New Higgs Boson via Resonant Di-Higgs Production with Decays into 4W
Searching for new Higgs particle beyond the observed light Higgs boson
h(125GeV) will unambiguously point to new physics beyond the standard model. We
study the resonant production of a CP-even heavy Higgs state in the
di-Higgs channel via, , at the LHC Run-2 and
the high luminosity LHC (HL-LHC). We analyze two types of the decay modes,
one with the same-sign di-leptons () and the
other with tri-leptons (). We
perform a full simulation for the signals and backgrounds, and estimate the
discovery potential of the heavy Higgs state at the LHC Run-2 and the HL-LHC,
in the context of generical two-Higgs-doublet models (2HDM). We determine the
viable parameter space of the 2HDM as allowed by the theoretical constraints
and the current experimental limits. We systematically analyze the allowed
parameter space of the 2HDM which can be effectively probed by the heavy Higgs
searches of the LHC, and further compare this with the viable parameter region
under the current theoretical and experimental bounds.Comment: v3: JHEP published version, 34pp, 10 Figs(36 plots) and 9 Tables.
Only minor typos fixed, references added. v2: JHEP version. All results and
conclusions un-changed, discussions and references added. (This update is
much delayed due to author's traveling and flu.
Characterization and Localization of Cyclin B3 Transcript in Both Oocyte and Spermatocyte of the Rainbow Trout (Oncorhynchus Mykiss)
B-type cyclins are regulatory subunits with distinct roles in the cell cycle. To date, at least three subtypes of B-type cyclins (B1, B2, and B3) have been identified in vertebrates. Previously, we reported the characterization and expression profiles of cyclin B1 and B2 during gametogenesis in the rainbow trout (Oncorhynchus mykiss). In this paper, we isolated another subtype of cyclin B, cyclin B3 (CB3), from a cDNA library of the rainbow trout oocyte. The full-length CB3 cDNA (2,093 bp) has an open reading frame (1,248 bp) that encodes a protein of 416 amino acid residues. The CB3 transcript was widely distributed in all the examined tissues, namely, eye, gill, spleen, brain, heart, kidney, stomach, skin, muscle, and, especially, gonad. Northern blot analysis indicated only one form of the CB3 transcript in the testis and ovary. In situ hybridization revealed that, in contrast to cyclin B1 and B2 transcripts, CB3 transcripts were localized in the oocytes, spermatocytes, and spermatogonia. These findings strongly suggest that CB3 plays a role not only as a mitotic cyclin in spermatogonial proliferation during early spermatogenesis but also during meiotic maturation of the spermatocyte and oocyte in the rainbow trout
Parallel compressive super-resolution imaging with wide field-of-view based on physics enhanced network
Achieving both high-performance and wide field-of-view (FOV) super-resolution
imaging has been attracting increasing attention in recent years. However, such
goal suffers from long reconstruction time and huge storage space. Parallel
compressive imaging (PCI) provides an efficient solution, but the
super-resolution quality and imaging speed are strongly dependent on precise
optical transfer function (OTF), modulation masks and reconstruction algorithm.
In this work, we propose a wide FOV parallel compressive super-resolution
imaging approach based on physics enhanced network. By training the network
with the prior OTF of an arbitrary 128x128-pixel region and fine-tuning the
network with other OTFs within rest regions of FOV, we realize both mask
optimization and super-resolution imaging with up to 1020x1500 wide FOV.
Numerical simulations and practical experiments demonstrate the effectiveness
and superiority of the proposed approach. We achieve high-quality
reconstruction with 4x4 times super-resolution enhancement using only three
designed masks to reach real-time imaging speed. The proposed approach promotes
the technology of rapid imaging for super-resolution and wide FOV, ranging from
infrared to Terahertz
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