Luttinger Liquid phase in the Aubry-Andr\'e Hubbard chain

We study the interplay between an on-site Hubbard repulsion and quasiperiodic potential in one-dimensional fermion chains using the density matrix renormalization group. We find that, at half-filling, the quasiperiodic potential can destroy the Mott gap, leading to a metallic Luttinger liquid phase between the gapped Mott insulator at strong repulsion and localized gapless Aubry- Andr\'e insulator at strong quasiperiodic potential. Away from half-filing, the metallic phase of the interacting model persists to larger critical strengths of the potential than in the non-interacting case, suggesting interaction-stabilized delocalization at finite doping. We characterize the Luttinger liquid through its charge and spin correlations, structure factors, and entanglement entropy

2D excitation information by MPS method on infinite helixes

Understanding the excitation spectrum in two-dimensional quantum many-body systems has long been a challenging task. We present an approach by introducing an excitation ansatz based on an infinite matrix product state (MPS) on a helix structure. With the canonical form of MPS states, we can accurately extract key properties such as energy, degeneracy, spectrum weight, and scaling behavior of low-energy excited states simultaneously. To validate the effectiveness of this method, we begin by applying it to the critical point of the transverse-field Ising model. The extracted scaling exponent of the energy gap closely aligns with the conformal bootstrap results. Subsequently, we apply this approach to the $J_1$-$J_2$ Heisenberg model on a square lattice. We discover that the degeneracy of lowest-energy excitations serves as a reliable metric for distinguishing different phases. The phase boundary identified by our method is consistent with some of the previous findings. The present method provides a promising avenue for studying the excitation spectrum of two-dimensional quantum many-body systems

Dirac quantum spin liquid emerging in a kagome-lattice antiferromagnet

Emerging quasi-particles with Dirac dispersion in condensed matter physics are analogous to their cousins in high-energy physics in that both of them can be described by the Dirac equation for relativistic electrons. Recently, these Dirac fermions have been widely found in electronic systems, such as graphene and topological insulators. At the conceptual level, since the charge is not a prerequisite for Dirac fermions, the emergence of Dirac fermions without charge degree of freedom has been theoretically predicted to be realized in Dirac quantum spin liquids. In such case, the Dirac quasiparticles are charge-neutral and carry a spin of 1/2, known as spinons. Despite of theoretical aspirations, spectra evidence of Dirac spinons remains elusive. Here we show that the spin excitations of a kagome antiferromagnet, YCu$_3$(OD)$_6$Br$_2$[Br$_{x}$(OD)$_{1-x}$], are conical with a spin continuum inside, which are consistent with the convolution of two Dirac spinons. The spinon velocity obtained from the spin excitations also quantitatively reproduces the low-temperature specific heat of the sample. Interestingly, the locations of the conical spin excitations differ from those calculated by the nearest neighbor Heisenberg model, suggesting an unexpected origin of the Dirac spinons. Our results thus provide strong spectra evidence for the Dirac quantum-spin-liquid state emerging in this kagome-lattice antiferromagnet.Comment: 7 pages, 4 figure

Real-time Monitoring for the Next Core-Collapse Supernova in JUNO

Core-collapse supernova (CCSN) is one of the most energetic astrophysical events in the Universe. The early and prompt detection of neutrinos before (pre-SN) and during the SN burst is a unique opportunity to realize the multi-messenger observation of the CCSN events. In this work, we describe the monitoring concept and present the sensitivity of the system to the pre-SN and SN neutrinos at the Jiangmen Underground Neutrino Observatory (JUNO), which is a 20 kton liquid scintillator detector under construction in South China. The real-time monitoring system is designed with both the prompt monitors on the electronic board and online monitors at the data acquisition stage, in order to ensure both the alert speed and alert coverage of progenitor stars. By assuming a false alert rate of 1 per year, this monitoring system can be sensitive to the pre-SN neutrinos up to the distance of about 1.6 (0.9) kpc and SN neutrinos up to about 370 (360) kpc for a progenitor mass of 30$M_{\odot}$ for the case of normal (inverted) mass ordering. The pointing ability of the CCSN is evaluated by using the accumulated event anisotropy of the inverse beta decay interactions from pre-SN or SN neutrinos, which, along with the early alert, can play important roles for the followup multi-messenger observations of the next Galactic or nearby extragalactic CCSN.Comment: 24 pages, 9 figure

A Novel Autocorrelation Combined MM-CDR Time-Interleaved ADC Timing Calibration in 28 nm CMOS Technology

With the great improvement in data transmission rate requirements, the analog-to-digital converter (ADC)-based wireline receiver has received more attention due to its flexible and powerful equalization capability. Time-interleaved ADC (TI-ADC) is the most commonly used architecture in high-speed ADC-based receivers. One of the major challenges in TI-ADC is the timing mismatch between the parallel sub-ADCs. The traditional skew detection and calibration circuits consume substantial power and area of the receiver system. In this article, we propose a novel calibration method using the autocorrelation principle combined with an existing Mueller–Müller clock and data recovery circuit (MM-CDR). This new method reuses the existing error-direction information of the MM-CDR in the ADC-based wireline receiver and combines the autocorrelation principle to obtain the timing mismatch information in the TI-ADC without adding an additional skew deviation extraction circuit, which greatly reduces the area and power consumption. In order to demonstrate the effectiveness and superiority of our skew calibration method, we designed a complete ADC-based wireline receiver circuit using the 28 nm CMOS technology. The simulation results show that our proposed calibration method could obtain 0.193 sensitivity per 1% skew, which was superior to traditional calibration methods. To verify the speed and accuracy of the convergence of our calibration method, the initial skews were set to +0.4 ps, +0.2 ps, −0.59 ps, and 0 ps for our 4 × 8 TI-ADC; the spurious free dynamic range (SFDR) and signal-to-noise and distortion ratio (SNDR) of the ADC were increased from 37.24 dB and 31.28 dB to 48.07 dB and 34.56 dB, respectively, after timing calibration with a 50 fs step. In order to compare the area and power consumption required by different skew calibration methods, we synthesized the expressions of various methods using the 28 nm CMOS technology, and the area and power consumption of our proposed skew calibration loop were 695 μm2 and 0.126 mW, respectively, which were the smallest among these methods

A Digital Bang-Bang Clock and Data Recovery Circuit Combined with ADC-Based Wireline Receiver

With the great increases in data transmission rate requirements, analog-to-digital converter (ADC)-based wireline receivers have received more and more attention due to their flexible and powerful equalization capabilities. Considering power consumption, baud-rate Mueller–Muller clock and data recovery (MM-CDR) circuits are widely used in ADC-based wireline receivers since MM-CDR circuits only need one sample signal per unit interval (UI). However, MM-CDR circuits need to set an additional Vref voltage to match the size of the main tap of the channel. If the Vref matching is not appropriate or the signal quality is good as a square wave, MM-CDR circuits cannot accurately lock on to a certain phase and instead drift within a phase range. Therefore, MM-CDR circuits are not as robust and stable as oversampled CDR circuits. In this study, a digital bang-bang clock and data recovery (DBB-CDR) circuit combined with an ADC-based wireline receiver was proposed. The DBB-CDR circuit could eliminate various unstable factors of MM-CDR circuits and achieve fast and robust phase locking without excessively increasing power consumption. A model of the DBB-CDR circuit was combined with an actual 32 Gb/s ADC-based wireline receiver, which was implemented in 28 nm CMOS technology to analyze the performance of the DBB-CDR circuit. The simulation results showed that the DBB-CDR circuit could achieve 0.42 UIpp JTOL@10MHz, and that the minimum JTOL value was 0.362 UIpp under a 0.04 UI variance of Gaussian jitter. The area and power consumption of the DBB-CDR circuit were only 64 μm2 and 0.02 mW, respectively; and the DBB-CDR circuit could also obtain very stable phase locking and demonstrated a fast frequency offset tracking ability when there was a frequency offset

Lavender essential oil alleviates depressive-like behavior in alcohol-withdrawn rats: Insights from gut metabolites and hippocampal transcriptome analysis

Lavender, an aromatic plant with a history dating back to ancient Egypt and Greece, is consumed because of its diverse pharmacological properties, including sedation, sleep aid, and antidepressant effects. However, the mechanisms underlying these antidepressant properties remain unclear. In this study, we explored the impact of lavender essential oil (LEO) inhalation on the diversity of gut microbiota, metabolites, and differential gene expression in the hippocampus of alcohol-withdrawn depressive rats. Additionally, we examined alterations in the hippocampal transient receptor potential (TRP) channel-mediated inflammatory regulation within the brain-gut axis of depressive rats. The results demonstrated a significant decrease in sucrose preference, diminished activity in the central zone of the open field test, and prolonged immobility time in the forced swim test in alcohol-withdrawn depressive rats, indicating the amelioration of depressive states following lavender essential oil inhalation. 16 S rDNA sequencing analysis revealed a significant reduction in Bacteroidota and Muribaculaceae in the gut of alcohol-withdrawn depressive rats, whereas lavender essential oil significantly increased the relative abundance of Muribaculaceae and other bacterial species. Metabolomic analysis identified 646 distinct metabolites as highly correlated biomarkers between the model and lavender essential oil groups. Furthermore, lavender essential oil inhalation significantly attenuated hippocampal inflammatory factors IL-2, IL-6, IL-1β, and TNF-α. This study identified elevated expression of Trpv4 and Calml4 in the hippocampal region of alcohol-withdrawn depressed rats and showed that lavender essential oil inhalation regulated aberrantly expressed genes. Our research suggests that lavender essential oil downregulates Trpv4, modulates inflammatory factors, and alleviates depressive-like behavior in alcohol withdrawal rats

SoccerNet 2022 Challenges Results

peer reviewedThe SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team. In 2022, the challenges were composed of 6 vision-based tasks: (1) action spotting, focusing on retrieving action timestamps in long untrimmed videos, (2) replay grounding, focusing on retrieving the live moment of an action shown in a replay, (3) pitch localization, focusing on detecting line and goal part elements, (4) camera calibration, dedicated to retrieving the intrinsic and extrinsic camera parameters, (5) player re-identification, focusing on retrieving the same players across multiple views, and (6) multiple object tracking, focusing on tracking players and the ball through unedited video streams. Compared to last year's challenges, tasks (1-2) had their evaluation metrics redefined to consider tighter temporal accuracies, and tasks (3-6) were novel, including their underlying data and annotations. More information on the tasks, challenges and leaderboards are available on https://www.soccer-net.org. Baselines and development kits are available on https://github.com/SoccerNet .Applications et Recherche pour une Intelligence Artificielle de Confiance (ARIAC

SoccerNet 2022 Challenges Results

peer reviewedThe SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team. In 2022, the challenges were composed of 6 vision-based tasks: (1) action spotting, focusing on retrieving action timestamps in long untrimmed videos, (2) replay grounding, focusing on retrieving the live moment of an action shown in a replay, (3) pitch localization, focusing on detecting line and goal part elements, (4) camera calibration, dedicated to retrieving the intrinsic and extrinsic camera parameters, (5) player re-identification, focusing on retrieving the same players across multiple views, and (6) multiple object tracking, focusing on tracking players and the ball through unedited video streams. Compared to last year's challenges, tasks (1-2) had their evaluation metrics redefined to consider tighter temporal accuracies, and tasks (3-6) were novel, including their underlying data and annotations. More information on the tasks, challenges and leaderboards are available on https://www.soccer-net.org. Baselines and development kits are available on https://github.com/SoccerNet .Applications et Recherche pour une Intelligence Artificielle de Confiance (ARIAC