activity
20002026
most citedA Universe of Ultra-Diffuse Galaxies: Theoretical Predictions from CDM Simulations

133 citations · 777 across the 35 of their papers we have counts for

collaborators
Showing astro-phShow all

12 papers · 1 filter

astro-ph2008★ 7 cited

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…

astro-ph2007★ 17 cited

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…

astro-ph2006★ 7 cited

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 for…

astro-ph2006

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…

astro-ph2005★ 57 cited

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…

astro-ph2005★ 33 cited

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…