285 research outputs found
Impact of top-Higgs couplings on di-Higgs production at future colliders
Measuring the Higgs-self coupling is one of the most crucial goals of the
future colliders, such as the LHC Run-II and the ILC-based photon collider.
Since the new physics can affects the di-Higgs production not only from the
Higgs self-coupling but also from the top-Higgs coupling, we investigate the
di-Higgs production in the presence of the non-standard top-Higgs coupling at
the LHC and ILC-based photon collider given the recent Higgs data. Due to the
changed interference behaviors of the top quark loops with itself or boson
loops, we find that the cross section of di-Higgs production at the LHC-14 TeV
and ILC-500 GeV can be respectively enhanced up to nearly 3 and 2 times the SM
predictions within 2 Higgs data allowed parameter region.Comment: 16 pages, references and discussions added, accepted by JHE
Synthetic gauge fields enable high-order topology on Brillouin real projective plane
The topology of the Brillouin zone, foundational in topological physics, is
always assumed to be a torus. We theoretically report the construction of
Brillouin real projective plane () and the appearance of
quadrupole insulating phase, which are enabled by momentum-space nonsymmorphic
symmetries stemming from synthetic gauge fields. We show that
the momentum-space nonsymmorphic symmetries quantize bulk polarization and
Wannier-sector polarization nonlocally across different momenta, resulting in
quantized corner charges and an isotropic binary bulk quadrupole phase diagram,
where the phase transition is triggered by a bulk energy gap closing. Under
open boundary conditions, the nontrivial bulk quadrupole phase manifests either
trivial or nontrivial edge polarization, resulting from the violation of
momentum-space nonsymmorphic symmetries under lattice termination. We present a
concrete design for the quadrupole insulator based on acoustic
resonator arrays and discuss its feasibility in optics, mechanics, and
electrical circuits. Our results show that deforming the Brillouin manifold
creates opportunities for realizing high-order band topology.Comment: 5 pages,5 figure
Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations
Extracting generalized and robust representations is a major challenge in
emotion recognition in conversations (ERC). To address this, we propose a
supervised adversarial contrastive learning (SACL) framework for learning
class-spread structured representations. The framework applies contrast-aware
adversarial training to generate worst-case samples and uses a joint
class-spread contrastive learning objective on both original and adversarial
samples. It can effectively utilize label-level feature consistency and retain
fine-grained intra-class features. To avoid the negative impact of adversarial
perturbations on context-dependent data, we design a contextual adversarial
training strategy to learn more diverse features from context and enhance the
model's context robustness. We develop a sequence-based method SACL-LSTM under
this framework, to learn label-consistent and context-robust emotional features
for ERC. Experiments on three datasets demonstrate that SACL-LSTM achieves
state-of-the-art performance on ERC. Extended experiments prove the
effectiveness of the SACL framework.Comment: 16 pages, accepted by ACL 202
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