activity
20032008
most citedScale Transformations, Tree-level Perturbation Theory, and the Cosmological Matter Bispectrum

17 citations · 31 across the 4 of their papers we have counts for

collaborators

9 papers

astro-ph20087 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-ph200717 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-ph20067 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

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

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…