activity
20212026
collaborators

7 papers

astro-ph.CO2026

Efficient computation of the galaxy angular bispectrum in redshift space

Zucheng Gao, Zvonimir Vlah, Anthony Challinor

Efficient computation of the angular bispectrum is an essential part of modelling large-scale structure observations, but it still remains an extremely challenging task. In this wo…

astro-ph.CO2026

Testing parity with composite-field spectra of BOSS and DESI luminous red galaxies

Zucheng Gao, Marina S. Cagliari, Azadeh Moradinezhad Dizgah +1

Detection of parity violation on cosmological scales would have profound implications for fundamental physics. Motivated in part by recent measurements of parity-odd four-point cor…

astro-ph.CO2025

Disentangling Target Lines from Interlopers and Continuum with Neural Networks: A SPHEREx Intensity Mapping Case Study

Marina S. Cagliari, Zucheng Gao, Azadeh Moradinezhad Dizgah

Line-intensity mapping (LIM) traces the large-scale distribution of matter by measuring fluctuations in aggregate line emission from unresolved galaxies and the intergalactic mediu…

astro-ph.CO2025

Parity in Composite-Field Galaxy Correlators

Zucheng Gao, Azadeh Moradinezhad Dizgah, Zvonimir Vlah

Detecting parity violation on cosmological scales would provide a striking clue to new physics. Large-scale structure offers the raw statistical power -- many three-dimensional mod…

astro-ph.CO2024

An Opacity-Free Method of Testing the Cosmic Distance Duality Relation Using Strongly Lensed Gravitational Wave Signals

Shun-Jia Huang, En-Kun Li, Jian-dong Zhang +4

The cosmic distance duality relation (CDDR), expressed as DL(z) = (1 + z)2DA(z), plays an important role in modern cosmology. In this paper, we propose a new method of testing CDDR…

astro-ph.CO2023

Flat-sky Angular Power Spectra Revisited

Zucheng Gao, Zvonimir Vlah, Anthony Challinor

We revisit the flat-sky approximation for evaluating the angular power spectra of projected random fields by retaining information about the correlations along the line of sight. W…