Publications (49)
Note on Redshift Distortion in Fourier Space
Yan-Chuan Cai, Jun Pan
We explore features of redshift distortion in Fourier analysis of N-body simulations. The phases of the Fourier modes of the dark matter density fluctuation are generally shifted b…
SDSS-IV MaNGA: A Distinct Mass Distribution Explored in Slow-Rotating Early-type Galaxies
Yu Rong, Hongyu Li, Jie Wang +8
We study the radial acceleration relation (RAR) for early-type galaxies (ETGs) in the SDSS MaNGA MPL5 dataset. The complete ETG sample show a slightly offset RAR from the relation…
DeTracker: Motion-decoupled Vehicle Detection and Tracking in Unstabilized Satellite Videos
Jiajun Chen, Jing Xiao, Shaohan Cao +4
Satellite videos provide continuous observations of surface dynamics but pose significant challenges for multi-object tracking (MOT), especially under unstabilized conditions where…
Scale Transformations, Tree-level Perturbation Theory, and the Cosmological Matter Bispectrum
Jun Pan, Peter Coles, Istvan Szapudi
Scale transformations have played an extremely successful role in studies of cosmological large-scale structure by relating the non-linear spectrum of cosmological density fluctuat…
Large-scale Cosmic Homogeneity from a Multifractal Analysis of the PSCz Catalogue
Jun Pan, Peter Coles
We investigate the behaviour of galaxy clustering on large scales using the PSCz catalogue. In particular, we ask whether there is any evidence of large-scale fractal behaviour in…
The DWT Power Spectrum of the two-degree Field Galaxy Redshift Survey
Yan-Chuan Cai, Jun Pan, Yong-Heng Zhao +2
The power spectrum of the two-degree Field Galaxy Redshift Survey (2dFGRS) sample is estimated with the discrete wavelet transform (DWT) method. The DWT power spectra within $0.04…
Peculiar Velocity Decomposition, Redshift Space Distortion and Velocity Reconstruction in Redshift Surveys - I. The Methodology
Pengjie Zhang, Jun Pan, Yi Zheng
Massive spectroscopic surveys will measure the redshift space distortion (RSD) induced by galaxy peculiar velocity to unprecedented accuracy. We develop a new method to improve the…
Pair Counting without Binning -- A New Approach to Correlation Functions in Clustering Statistics
Shiyu Yue, Longlong Feng, Wenjie Ju +6
This paper presents a novel perspective on correlation functions in the clustering analysis of the large-scale structure of the universe. We first recognise that pair counting in b…
Magic Numbers of Silicon Clusters
Jun Pan, Mushti V. Ramakrishna
A structural model for intermediate sized silicon clusters is proposed that is able to generate unique structures without any dangling bonds. This structural model consists of bulk…
Chemistry of Nanoscale Semiconductor Clusters
Jun Pan, Atul Bahel, Mushti V. Ramakrishna
The ground state structures of small silicon clusters are determined through exhaustive tight-binding molecular dynamics simulation studies. These simulations revealed that \Si{11}…
The FAST Hundred-Deg HI Deep (HD) Survey: Early Results from the Pilot Survey
Chen Xu, Yingjie Jing, Jie Wang +26
The Hundred-deg HI Deep (HD) survey carried out with the Five-hundred-meter Aperture Spherical Telescope (FAST) is planned to map a contiguous region within the DESI DR1 fo…
Heterogeneous SAR-optical fusion for near-real-time land use and land cover mapping under cloud contamination: A novel framework and global benchmark dataset
Jiangong Xu, Weibao Xue, Xiaoyu Yu +3
Optical remote sensing imagery is frequently degraded by cloud and cloud-shadow contamination, which limits its reliability for near-real-time land use and land cover (LULC) mappin…
Spot Evasion Attacks: Adversarial Examples for License Plate Recognition Systems with Convolutional Neural Networks
Ya-guan Qian, Dan-feng Ma, Bin Wang +5
Recent studies have shown convolution neural networks (CNNs) for image recognition are vulnerable to evasion attacks with carefully manipulated adversarial examples. Previous work…
The kinetic SZ tomography with spectroscopic redshift surveys
Jiawei Shao, Pengjie Zhang, Weipeng Lin +2
The kinetic Sunyaev Zel'dovich effect (kSZ) effect is a potentially powerful probe to the missing baryons. However, the kSZ signal is overwhelmed by various contaminations and the…
Fast Edge Corrected Measurement of the Two-Point Correlation Function and the Power Spectrum
István Szapudi, Jun Pan, Simon Prunet +1
We present two related techniques to measure the two-point correlation function and the power spectrum with edge correction in any spatial dimensions. The underlying algorithm uses…
A Universe of Ultra-Diffuse Galaxies: Theoretical Predictions from CDM Simulations
Yu Rong, Qi Guo, Liang Gao +5
A particular population of galaxies have drawn much interest recently, which are as faint as typical dwarf galaxies but have the sizes as large as galaxies, the so called "ul…
The Monopole Moment of the Three-Point Correlation Function of the 2-degree Field Galaxy Redshift Survey
Jun Pan, Istvan Szapudi
We measure the monopole moment of the three-point correlation function on scales $1\mpc-70\mpc$ in the Two degree Field Galaxy Redshift Survey (2dFGRS). Volume limited samples are…
Peculiar Velocity Decomposition, Redshift Space Distortion and Velocity Reconstruction in Redshift Surveys. II. Dark Matter Velocity Statistics
Yi Zheng, Pengjie Zhang, Yipeng Jing +2
Massive spectroscopic redshift surveys open a promising window to accurately measure peculiar velocity at cosmological distances through redshift space distortion (RSD). In paper I…
Influence of baryons on spatial distribution of matter: higher order correlation functions
Xiaojun Zhu, Jun Pan
Baryonic physical processes could leave non-negligible imprint on cosmic matter distribution pattern. Series of high precision simulation data sets with identical initial condition…
Growth Pattern of Silicon Clusters
Atul Bahel, Jun Pan, Mushti V. Ramakrishna
Tight-binding molecular dynamics simulated annealing technique is employed to search for the ground state geometries of silicon clusters containing 11-17 atoms. These studies revea…
Simulating Kilonovae in the ÎCDM Universe
Zhen Jiang, Jie Wang, Fenghui Zhang +6
Kilonovae are optical flashes produced in the aftermath of neutron star-neutron star mergers (NNMs) or neutron star-black hole mergers (NBMs). In this work, we use the Millennium S…
Three-point Correlation Functions of SDSS Galaxies in Redshift Space: Morphology, Color, and Luminosity Dependence
Issha Kayo, Yasushi Suto, Robert C. Nichol +10
We present measurements of the redshift--space three-point correlation function of galaxies in the Sloan Digital Sky Survey (SDSS). For the first time, we analyze the dependence of…
Thick Cloud Removal of Remote Sensing Images Using Temporal Smoothness and Sparsity-Regularized Tensor Optimization
Chenxi Duan, Jun Pan, Rui Li
In remote sensing images, the presence of thick cloud accompanying cloud shadow is a high probability event, which can affect the quality of subsequent processing and limit the sce…
GABE: Galaxy Assembly with Binary Evolution
Zhen Jiang, Jie Wang, Liang Gao +4
We developed a new semi-analytic galaxy formation model: Galaxy Assembly with Binary Evolution (GABE). For the first time we introduce binary evolution into semi-analytic models of…
Cosmological Three-Point Function: Testing The Halo Model Against Simulations
Pablo Fosalba, Jun Pan, Istvan Szapudi +1
We perform detailed comparison of the semi-analytic halo model predictions with measurements in numerical simulations of the two and three point correlation functions (3PCF), as we…
The fractional Brownian motion and the halo mass function
Jun Pan
The fractional Brownian motion with index is introduced to construct the fractional excursion set model. A new mass function with single parameter is derived within the f…
Effects of correlation between merging steps on the global halo formation
Jun Pan, Yougang Wang, Xuelei Chen +1
The excursion set theory of halo formation is modified by adopting the fractional Brownian motion, to account for possible correlation between merging steps. We worked out analytic…
On the fairness of the main galaxy sample of SDSS
Kelai Meng, Bin Ma, Jun Pan +1
Flux-limited and volume-limited galaxy samples are constructed from SDSS data releases DR4, DR6 and DR7 for statistical analysis. The two-point correlation functions , monop…
Magic Numbers of Silicon Clusters
Jun Pan, Mushti V. Ramakrishna
A structural model for intermediate sized silicon clusters is proposed that is able to generate unique structures without any dangling bonds. This structural model consists of bulk…
Conditional Cumulants in Weakly Non-linear Regime
Jun Pan, Istvan Szapudi
Conditional cumulants form a set of unique statistics which represent a sensible compromise between N-point correlation functions and cumulants measured from moments of counts in c…
Colour Dependence of the Distribution of IRAS Galaxies revealed by Multifractal Measures
Jun Pan
Multifractal measures are applied to three IRAS galaxy subsamples selected by colour from the PSCz catalogue. As shown by generalised dimension spectrum, hot IRAS galaxies are foun…
Estimating power spectrum of discrete cosmic momentum field with fast Fourier transform
Jun Pan
Fast Fourier transform based estimators are formulated for measuring momentum power spectra, including the auto power spectra of the momentum, the momentum divergence, and the cros…
About One-point Statistics of the Ratio of Two Fourier-transformed Cosmic Fields and an Application
Ming Li, Jun Pan, Pengjie Zhang +7
The Fourier transformation is an effective and efficient operation of Gaussianization at the one-point level. Using a set of N-body simulation data, we verified that the one-point…
Synthesis of Single-crystal-like Nanoporous Carbon Membranes and Their Applications in Overall Water Splitting
Hong Wang, Shixiong Min, Chun Ma +17
Nanoporous graphitic carbon membranes with defined chemical composition and pore architecture are novel nanomaterials that are actively pursued. Compared to easy-to-make porous car…
An estimation of local bulk flow with the maximum-likelihood method
Yin-Zhe Ma, Jun Pan
A maximum-likelihood method, tested as an unbiased estimator from numerical simulations, is used to estimate cosmic bulk flow from peculiar velocity surveys. The likelihood functio…
HiFAST: an HI data calibration and imaging pipeline for FAST
Yingjie Jing, Jie Wang, Chen Xu +30
The Five-hundred-meter Aperture Spherical radio Telescope (FAST) has the largest aperture and a 19-beam L-band receiver, making it powerful for investigating the neutral hydrogen a…
Massive Quiescent Galaxies at z>3 in The Millennium Simulation Populated by A Semi-analytic Galaxy Formation Model
Yu Rong, Yingjie Jing, Liang Gao +5
We take advantage of the statistical power of the large-volume dark-matter-only Millennium simulation, combined with a sophisticated semi-analytic galaxy formation model, to explor…
Boundary Corrections in Fractal Analysis of Galaxy Surveys
Jun Pan, Peter Coles
The analysis of redshift surveys with fractal tools requires one to apply some form of statistical correction for galaxies lying near the geometric boundary of the sample. In this…
Bulk flow of halos in ÎCDM simulation
Ming Li, Jun Pan, Liang Gao +10
Analysis of the Pangu N-body simulation validates that the bulk flow of halos follows a Maxwellian distribution which variance is consistent with the prediction of the linear theor…
Comparing galaxy morphology in hydrodynamical simulation and in semi-analytic model
Lan Wang, Dandan Xu, Liang Gao +3
We compare galaxy morphology predicted by the Illustris hydrodynamical simulation and a semi-analytic model (SAM) grafted in the halo merger trees from the Illustris-Dark matter si…
The ergodicity bias in the observed galaxy distribution
Jun Pan, Pengjie Zhang
The spatial distribution of galaxies we observed is subject to the given condition that we, human beings are sitting right in a galaxy -- the Milky Way. Thus the ergodicity assumpt…
Chemical Reactions of Silicon Clusters
Mushti V. Ramakrishna, Jun Pan
Smalley and co-workers discovered that chemisorption reactivities of silicon clusters vary over three orders of magnitude as a function of cluster size. In particular, they found t…
Numerical investigation of non-Gaussianities in the phase and modulus of density Fourier modes
Jian Qin, Jun Pan, Yu Yu +1
We numerically investigate non-Gaussianities in the late-time cosmological density field in Fourier space. We explore various statistics, including the two-point and three-point pr…
The Large-scale Effect of Environment on Galactic Conformity
Shuangpeng Sun, Qi Guo, Lan Wang +4
We use a volume-limited galaxy sample from the SDSS Data Release 7 to explore the dependence of galactic conformity on the large-scale environment, measured on 4 Mpc scales.…
Structure of Silicon Clusters
Jun Pan, Atul Bahel, Mushti V. Ramakrishna
We determined the structures of silicon clusters in the 11-14 atom size range using the tight-binding molecular dynamics method. These calculations reveal that \Si{11} is an icosah…
Clustering of K-band selected local galaxies
Bin Ma, Kelai Meng, Jun Pan +2
We present detailed clustering analysis of a large K-band selected local galaxy sample, which is constructed from the 2MASS and the SDSS and consists of galaxies with $10…
Performance of FAST with an Ultra-Wide Bandwidth Receiver at 500-3300 MHz
Chuan-Peng Zhang, Peng Jiang, Ming Zhu +6
The Five-hundred-meter Aperture Spherical radio Telescope (FAST) has been running for several years. A new Ultra-Wide Bandwidth (UWB) receiver, simultaneously covering 500-3300 MHz…
A redshift distortion free correlation function at third order in the nonlinear regime
Kelai Meng, Jun Pan, Istvan Szapudi +1
The zeroth-order component of the cosine expansion of the projected three-point correlation function is proposed for clustering analysis of cosmic large scale structure. These func…
On Recovering the Nonlinear Bias Function from Counts in Cells Measurements
Istvan Szapudi, Jun Pan
We present a simple and accurate method to constrain galaxy bias based on the distribution of counts in cells. The most unique feature of our technique is that it is applicable to…