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Joel R. Primack

Researcher at University of California, Santa Cruz

Publications -  492
Citations -  55170

Joel R. Primack is an academic researcher from University of California, Santa Cruz. The author has contributed to research in topics: Galaxy & Galaxy formation and evolution. The author has an hindex of 101, co-authored 483 publications receiving 50646 citations. Previous affiliations of Joel R. Primack include Stanford University & Harvard University.

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Cosmology: small-scale issues

TL;DR: In this paper, the authors consider the implications for cold versus various varieties of warm dark matter (WDM) for galaxy formation and conclude that the current evidence appears to be consistent with standard ΛCDM, although improving data may point toward a rather tepid version of ΛWDM, since the dark matter cannot be very warm without violating observational constraints.
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Formation of elongated galaxies with low masses at high redshift

TL;DR: In this article, the identification of elongated (triaxial or prolate) galaxies in cosmological simulations at high redshift was reported, which is a common feature of high-redshift DM halos in the Lambda$CDM cosmology.
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Arc Statistics in Clusters: Galaxy Contribution

TL;DR: In this paper, the authors analyzed the effect of cluster galaxies on the likelihood of clusters to generate long-arc images of background galaxies and found that there are not enough sufficiently massive galaxies in a cluster for them to significantly enhance the cross section of clusters and generate long arcs.
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Nuclear power in space

TL;DR: In this paper, the authors represent scientific groups that are opposed to the use of nuclear power in near space and feel that the best course for space-borne reactors is to ban them from Earth orbit and use them in deep space.
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Accelerating dust temperature calculations with graphics-processing units

TL;DR: In this article, the authors present an implementation of the calculation of dust grain equilibrium temperatures on GPUs in the Monte-Carlo radiation transfer code sunrise, using the CUDA API.