A5008027442- Cosmology and Gravitation Theories
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Pulsars and Gravitational Waves Research
- Software Engineering Research
- Radio Astronomy Observations and Technology
- Galaxies: Formation, Evolution, Phenomena
- Reinforcement Learning in Robotics
- Robot Manipulation and Learning
- Gamma-ray bursts and supernovae
- Black Holes and Theoretical Physics
- Dark Matter and Cosmic Phenomena
- Geophysics and Gravity Measurements
- VLSI and Analog Circuit Testing
- Robotics and Sensor-Based Localization
- Robotic Path Planning Algorithms
- Astrophysics and Star Formation Studies
- Robotic Locomotion and Control
- Species Distribution and Climate Change
- Advanced Malware Detection Techniques
- Animal Vocal Communication and Behavior
- Astrophysical Phenomena and Observations
- Astronomy and Astrophysical Research
- Domain Adaptation and Few-Shot Learning
- Sensor Technology and Measurement Systems
University of Pennsylvania
2023-2024
University of Chicago
2016-2023
Fermi National Accelerator Laboratory
2019-2023
Beihang University
2013-2022
Fujian Agriculture and Forestry University
2020-2022
Institute of Astronomy and Astrophysics, Academia Sinica
2019
Institute of Software
2016
State Key Laboratory of Software Development Environment
2016
State Key Laboratory of Nuclear Physics and Technology
2015
Peking University
2015
We discuss the ability of a dark fluid becoming relevant around time matter-radiation equality to significantly relieve tension between local measurements Hubble constant and cosmic microwave background (CMB) inference, within $\mathrm{\ensuremath{\Lambda}}\mathrm{CDM}$ model. show that gravitational impact acoustic oscillations in balance effects on CMB result an improved fit themselves while simultaneously raising constant. The required favors model where is scalar field converts its...
In recent years, direct detection, indirect and collider experiments have placed increasingly stringent constraints on particle dark matter, exploring much of the parameter space associated with WIMP paradigm. this paper, we focus subset models in which matter annihilates early universe through couplings to either Standard Model Z or Higgs boson. Considering fermionic, scalar, vector candidates within a model-independent context, find that overwhelming majority these are already ruled out by...
We analyse the 2-dimensional distribution and kinematics of stars as well molecular ionised gas in central few hundred parsecs 5 active matched inactive galaxies. The equivalent widths Br-gamma line indicate there is no on-going star formation their nuclei, although recent (terminated) starbursts are possible stellar velocity fields show signs non-circular motions, while 1-0S(1) H_2 exhibit significant deviations from simple circular rotation. In galaxies reveal inflow outflow superimposed...
We consider the interplay of Early Dark Energy (EDE) model, Swampland Distance Conjecture (SDC), and cosmological parameter tensions. EDE is a proposed resolution Hubble tension relying upon near-Planckian scalar field excursion, while SDC predicts an exponential sensitivity masses other fields to such $m\propto e^{-c|\Delta \phi|/M_{\rm pl}}$ with $c\sim{\cal O}(1)$. Meanwhile, in large-scale structure (LSS) data, due shifts standard $\Lambda$CDM parameters necessary fit cosmic microwave...
We discuss the phenomenological imprints of modifications to gravity in early Universe with a specific focus on time recombination. derive several interesting results regarding effect that such have cosmological observables, especially driving and phasing acoustic oscillations, observed cosmic microwave background (CMB) baryon as well weak gravitational lensing CMB galaxy shapes. This widens pool measurements can be used test present future surveys, particular realizing full constraining...
ABSTRACT We report on our combined analysis of HST, VLT/MUSE, VLT/SINFONI, and ALMA observations the local Seyfert 2 galaxy, NGC 5728 to investigate in detail feeding feedback active galactic nucleus (AGN). The data sets simultaneously probe morphology, excitation, kinematics stars, ionized gas, molecular gas over a large range spatial scales (10 pc 10 kpc). contains stellar bar that is driving along prominent dust lanes inner 1 kpc where settles into circumnuclear ring. ring strongly star...
The canonical acoustic dark energy model (cADE), which is based on a scalar field with kinetic term that rapidly converts potential to around matter radiation equality, alleviates the Hubble tension found in $\Lambda$CDM. We show it successfully passes new consistency tests CMB damping tail provided by ACT data, while being increasingly constrained and distinguished from alternate mechanisms improved polarization data Planck. best fit cADE suite of cosmological observations, including SH0ES...
Abstract We study the cosmological propagation of gravitational waves (GWs) beyond general relativity (GR) across homogeneous and isotropic backgrounds. consider scenarios in which GWs interact with an additional tensor field use a parametrized phenomenological approach that generically describes their coupled equations motion. analyze four distinct classes derivative non-derivative interactions: mass, friction, velocity, chiral. apply WKB formalism to account for evolution obtain analytical...
Early dark energy (EDE), whose cosmological role is localized in time around the epoch of matter-radiation equality order to resolve Hubble tension, introduces a new coincidence problem: Why should EDE dynamics occur near if decoupled from both matter and radiation? The resolution this problem may lie an early sector (EDS), wherein mass dependent on scalar field. Concretely, we consider Planck-suppressed coupling matter, as would naturally arise breaking global $U(1)$ shift symmetry former...
Abstract A successful measurement of the Stochastic Gravitational Wave Background (SGWB) in Pulsar Timing Arrays (PTAs) would open up a new window through which to test predictions General Relativity (GR). We consider how these measurements might reveal deviations from GR by studying overlap reduction function — quantity that is approximated Hellings-Downs curve some sample modifications gravity, focusing on generic prediction modified dispersion relation for gravitational waves. find...
Astrometry holds the potential for testing fundamental physics through effects of stochastic gravitational wave background (SGWB) in $\ensuremath{\sim}1--100\text{ }\text{ }\mathrm{nHz}$ frequency band on precision measurements stellar positions. Such are complementary to tests made possible by detection SGWB using pulsar timing arrays. Here, feasibility astrometry identification parity-violating signals within is investigated. This achieved defining and quantifying a nonvanishing $EB$...
This paper presents a 3D frontier-based exploration tool named 3D-FBET. Our runs onboard the MAV equipped with sensor. The map of environment explored is constructed incrementally from two consecutive point clouds obtained. Considering computation and memory limitations MAVs, OctoMap utilized to represent models. A novel approach designed extract frontiers OctoMap. Different existing extraction method, only state-changed space in processed each iteration. We implement our on top well-known...
Abstract Low-energy alternatives to General Relativity (GR) generically modify the phase of gravitational waves (GWs) during their propagation. As detector sensitivities increase, it becomes key understand how these modifications affect GW higher modes and disentangle possible degeneracies with astrophysical phenomena. We apply a general formalism — WKB approach for solving analytically wave propagation in spatial domain modified dispersion relation (MDR). compare this applying stationary...
The ${S}_{8}$ tension between low-redshift galaxy surveys and the primary cosmic microwave background (CMB) signals a possible breakdown of $\mathrm{\ensuremath{\Lambda}}\mathrm{CDM}$ model. Recently differing results have been obtained using higher redshifts probed by CMB lensing, motivating time-dependent modification to growth structure. We investigate simple phenomenological model in which structure deviates from prediction at late times, particular as function dark energy density....
Spectra-based fault localization (SFL) techniques have brought encouraging results and a variety of program spectra been proposed to locate faults. Different types abnormal behaviors may be revealed by different kinds spectra. Compared using single type, combining multiple try leverage the strengths constituent types. However, in presence spectra, how select adequate type build appropriate models need further investigation.
ABSTRACT We search for signatures of cosmological shocks in gas pressure profiles galaxy clusters using the cluster catalogues from three surveys: Dark Energy Survey (DES) Year 3, South Pole Telescope (SPT) SZ survey, and Atacama Cosmology (ACT) data releases 4, 5, 6, thermal Sunyaev–Zeldovich (SZ) maps SPT ACT. The combined sample contains around 105 with mass redshift ranges $10^{13.7} \lt M_{\rm 200m}/\, {\rm M}_\odot 10^{15.5}$ 0.1 < z 2, total sky coverage is $\approx 15\, 000...
During software evolution, new released versions still contain many bugs. One common scenario is that end users encounter regression faults and submit them to bug tracking systems. Different from in-house testing, typically only one test input available, which passes the old version fails modified version. To address issue, delta debugging has been proposed for failure-inducing changes identification between two versions. Despite promising results, there are practical factors thwart...
Dynamic topic models (DTM) are of great use toanalyze the evolution unobserved topics a text collectionover time. Recent years have witnessed explosive growth ofstreaming data emerging from online media, which createsan unprecedented need for DTMs timely event analysis. While there been some matrix factorization methods inthe literature dynamic modeling, further study is stillin to model emerging, evolving and fading topicsin more natural effective way. In light this, we firstpropose called...
Bird behavior reflects its healthy and the habitat condition in which bird's posture recognition is basis of bird research. This paper proposes an end-to-end based on target keypoints estimation dual-task network. The network composes two sub-networks, keypoint feature extraction local In network, we take high-resolution (HRNet) as backbone to detect branch extract global features from low-resolution for recognition. We design components generation module takes detected into clustering...
We study the magnetospheric activity in polar cap region of pulsars under stellar oscillations. The toroidal oscillation star propagates into magnetosphere, which provides additional voltage due to unipolar induction, changes Goldreich-Julian charge density from traditional value rotation, and hence, influences particle acceleration. present a general solution effect oscillations within framework inner vacuum gap model, consider three different modes controlled by curvature radiation,...
In recent years, weigh-in-motion systems based on embedded sensor networks have received a lot of attention. However, how to improve the accuracy multi-sensor (WIM) while keeping costs low remains challenge. this paper, numerical simulation method is presented analyze relationship between location and static weight estimation. The finite element model WIM system developed, which consists three parts: pavement model, moving load two types models. Analysis results shows that ability sensing...
Testing of image processing applications is a challenging job especially, when evaluating the correctness output image. Generally, images are evaluated manually by visual inspection carried out an expert tester, which main hindrance in automation testing process. Recently, statistical and metamorphic approaches presented to automate evaluation applications. The method dependent on availability distribution images, whereas require more research efforts make it widely used practice....
Accurately estimating the weight of a moving vehicle at normal speed remains challenging problem due to complex dynamics and vehicle-pavement interaction. The weighing technique based on multiple sensors has proven be an effective approach this task. To improve accuracy weigh-in-motion (WIM) systems, paper proposes neural network-based method integrating identification predication. A backpropagation network for signal classification (BPNN-i) was designed identify ideal samples acquired by...