130 citations · 1.1k across the 52 of their papers we have counts for
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Observational search for primordial chirality violations using galaxy angular momenta
Pavel Motloch, Ue-Li Pen, Hao-Ran Yu
We search for evidence of primordial chirality violation in the galaxy data from the Sloan Digital Sky Survey by comparing how strongly directions of galaxy angular momenta correla…
Correlating galaxy shapes and initial conditions: an observational study
Pavel Motloch, Ue-Li Pen, Hao-Ran Yu
Using data from the Sloan Digital Sky Survey we study correlations between directions of galaxy angular momenta determined from images of spiral galaxies and various observables de…
Spin Mode Reconstruction in Lagrangian Space
Qiaoya Wu, Hao-Ran Yu, Shihong Liao +1
Galaxy angular momentum directions (spins) are observable, well described by the Lagrangian tidal torque theory, and proposed to probe the primordial universe. They trace the spins…
Neutrino effects on the morphology of cosmic large-scale structure
Yu Liu, Yu Yu, Hao-Ran Yu +1
In this work, we propose a powerful probe of neutrino effects on the large-scale structure (LSS) of the Universe, i.e., Minkowski functionals (MFs). The morphology of LSS can be fu…
Observational detection of correlation between galaxy spins and initial conditions
Pavel Motloch, Hao-Ran Yu, Ue-Li Pen +1
Galaxy spins can be predicted from the initial conditions in the early Universe through the tidal tensor twist. In simulations, their directions are well preserved through cosmic t…
Simulating the Cosmic Neutrino Background using Collisionless Hydrodynamics
Derek Inman, Hao-ran Yu
The cosmic neutrino background is an important component of the Universe that is difficult to include in cosmological simulations due to the extremely large velocity dispersion of…
Probing Primordial Chirality with Galaxy Spins
Hao-Ran Yu, Pavel Motloch, Ue-Li Pen +5
Chiral symmetry is maximally violated in weak interactions, and such microscopic asymmetries in the early Universe might leave observable imprints on astrophysical scales without v…
Parity-odd Neutrino Torque Detection
Hao-Ran Yu, Ue-Li Pen, Xin Wang
Cosmological observations are promising ways to improve our understanding of neutrino mass properties. The upper bound on the sum of masses is given by the cosmic microwave backgro…
Baryon Acoustic Oscillation detections from the clustering of massive halos and different density region tracers in TianNu simulation
Yu Liu, Yu Liang, Hao-Ran Yu +3
The Baryon Acoustic Oscillations (BAO) refer to the ripples of material density in the Universe. As the most direct density tracers in the universe, galaxies have been commonly use…
CUBE: An Information-optimized parallel Cosmological -body Algorithm
Hao-Ran Yu, Ue-Li Pen, Xin Wang
Cosmological large scale structure -body simulations are computation-light, memory-heavy problems in supercomputing. The considerable amount of memory is usually dominated by an…
Effect of Massive Neutrinos on the Position of Cold Dark Matter Halo: Revealed via Delaunay Triangulation Void
Jian Qin, Yu Liang, Cheng Zhao +3
Using cosmological -body simulation which coevolves cold dark matter (CDM) and neutrino particles, we discover the local effect of massive neutrinos on the spatial distribution…
Testing backreaction effects with observational Hubble parameter data
Shu-Lei Cao, Huan-Yu Teng, Hao-Ran Yu +2
In order to explore the generic properties of a backreaction model for explaining the accelerated expansion of the Universe, we exploit two metrics to describe the late time Univer…
Isobaric Reconstruction of the Baryonic Acoustic Oscillation
Xin Wang, Hao-Ran Yu, Hong-Ming Zhu +3
In this paper, we report a significant recovery of the linear baryonic acoustic oscillation (BAO) signature by applying the isobaric reconstruction algorithm to the non-linear matt…
Increasing Fisher Information by Moving-Mesh Reconstruction
Qiaoyin Pan, Ue-Li Pen, Derek Inman +1
Reconstruction techniques are commonly used in cosmology to reduce complicated nonlinear behaviours to a more tractable linearized system. We study a new reconstruction technique t…
Nonlinear reconstruction
Hong-Ming Zhu, Yu Yu, Ue-Li Pen +2
We present a direct approach to nonparametrically reconstruct the linear density field from an observed nonlinear map. We solve for the unique displacement potential consistent wit…
Cosmological neutrino simulations at extreme scale
J. D. Emberson, Hao-Ran Yu, Derek Inman +8
Constraining neutrino mass remains an elusive challenge in modern physics. Precision measurements are expected from several upcoming cosmological probes of large-scale structure. A…
Measurement of the Cold Dark Matter-Neutrino Dipole in the TianNu Simulation
Derek Inman, Hao-Ran Yu, Hong-Ming Zhu +6
Measurements of neutrino mass in cosmological observations rely on two point statistics that are hindered by significant degeneracies with the optical depth and galaxy bias. The re…
Nonlinear -mode clustering in Lagrangian space
Hao-Ran Yu, Ue-Li Pen, Hong-Ming Zhu
We study the nonlinear -mode clustering in Lagrangian space by using large scale structure -body simulations and use the displacement field information in Lagrangian space to…
Differential Neutrino Condensation onto Cosmic Structure
Hao-Ran Yu, J. D. Emberson, Derek Inman +12
Astrophysical techniques have pioneered the discovery of neutrino mass properties. Current cosmological observations give an upper bound on neutrino masses by attempting to disenta…
Precision reconstruction of the dark matter-neutrino relative velocity from N-body simulations
Derek Inman, J. D. Emberson, Ue-Li Pen +3
Discovering the mass of neutrinos is a principle goal in high energy physics and cosmology. In addition to cosmological measurements based on two-point statistics, the neutrino mas…
Direct reconstruction of dynamical dark energy from observational Hubble parameter data
Zhi-E Liu, Hao-Ran Yu, Tong-Jie Zhang +1
Reconstructing the evolution history of the dark energy equation of state parameter directly from observational data is highly valuable in cosmology, since it contains subst…
Reconstructing equation of state of dark energy with principal component analysis
Zhi-E Liu, Hao-Feng Qin, Jie Zhang +2
We represent a nonparametric method to reconstruct the equation of state for dark energy directly from observational Hubble parameter data. We use principal component analysis (PCA…
Nonparametric reconstruction of dynamical dark energy via observational Hubble parameter data
Hao-Ran Yu, Shuo Yuan, Tong-Jie Zhang
We study the power of current and future observational Hubble parameter data (OHD) on non-parametric estimations of the dark energy equation of state, . We propose a new meth…
Method for Direct Measurement of Cosmic Acceleration by 21-cm Absorption Systems
Hao-Ran Yu, Tong-Jie Zhang, Ue-Li Pen
So far there is only indirect evidence that the Universe is undergoing an accelerated expansion. The evidence for cosmic acceleration is based on the observation of different objec…