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Garrelt Mellema

Researcher at Stockholm University

Publications -  265
Citations -  12481

Garrelt Mellema is an academic researcher from Stockholm University. The author has contributed to research in topics: Reionization & Redshift. The author has an hindex of 61, co-authored 256 publications receiving 11372 citations. Previous affiliations of Garrelt Mellema include University of Manchester & University of Toronto.

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The kinematics of the planetary nebula BD+30 3639

TL;DR: In this paper, the authors describe the results of the first optical kinematic study of the planetary nebula BD+30 3639, which has a central star of the Wolf-Rayet type and is believed to be fairly young.
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Probing IGM Physics during Cosmic Dawn using the Redshifted 21-cm Bispectrum

TL;DR: In this article, the authors show that the evolution of the sign and magnitude of the 21-cm bispectrum can disentangle the contributions from Ly$\alpha$ coupling and X-ray heating of the IGM, the two most dominant processes which drive this transition.

A comparative study of disk-planet interaction

TL;DR: In this article, the authors performed numerical simulations of a disc-planet system using various grid-based and smoothed particle hydrodynamics (SPH) codes, and compared the surface density contours, potential vorticity and smooth radial profiles at several times.
Posted Content

General Relativistic Hydrodynamics with a Roe solver

TL;DR: In this paper, a generalization of Roe's approximate Riemann solver for the non-relativistic Euler equations in Cartesian coordinates is presented, and applied to a set of standard test problems for general relativistic hydrodynamics.
Journal ArticleDOI

Redshifted 21-cm bispectrum: impact of the source models on the signal and the IGM physics from the Cosmic Dawn

TL;DR: In this article , the authors study the impact of variation in Lyα coupling and X-ray heating on the 21-cm bispectrum for all possible unique triangles in the Fourier domain, and show that the shape, sign and magnitude of the bispectrom jointly provide a better measure of the signal fluctuations and its non-Gaussianity than the power spectrum alone.