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Arka Banerjee

Researcher at Stanford University

Publications -  49
Citations -  1461

Arka Banerjee is an academic researcher from Stanford University. The author has contributed to research in topics: Neutrino & Dark matter. The author has an hindex of 15, co-authored 48 publications receiving 885 citations. Previous affiliations of Arka Banerjee include Tata Institute of Fundamental Research & St. Stephen's College, Delhi.

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Linearized flavor-stability analysis of dense neutrino streams

TL;DR: In this article, the authors examined the onset of self-induced neutrino flavor conversion through a standard stability analysis of the linearized equations of motion and found that neutrinos are stable above a cutoff density (cutoff mode) or can approach an asymptotic instability for increasing density (saturation mode).
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Simulating nonlinear cosmological structure formation with massive neutrinos

TL;DR: In this article, the authors present a new method for simulating cosmologies that contain massive particles with thermal free streaming motion, such as massive neutrinos or warm/hot dark matter.
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Probing the Fundamental Nature of Dark Matter with the Large Synoptic Survey Telescope

Alex Drlica-Wagner, +99 more
TL;DR: Drlica-Wagner et al. as discussed by the authors summarized the science case for studying the fundamental physics of dark matter with LSST and discussed the ways that LSST will complement other experiments to strengthen our understanding of the fundamental characteristics of darkmatter.
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The Imprint of Neutrinos on Clustering in Redshift Space

TL;DR: In this paper, the authors investigated the signatures left by the cosmic neutrino background on the clustering of matter, CDM+baryons and halos in redshift-space using a set of 1000 N-body and hydrodynamical simulations with massless and massive neutrinos.