N
Neal Dalal
Researcher at Perimeter Institute for Theoretical Physics
Publications - 144
Citations - 10139
Neal Dalal is an academic researcher from Perimeter Institute for Theoretical Physics. The author has contributed to research in topics: Dark matter & Galaxy. The author has an hindex of 47, co-authored 141 publications receiving 9037 citations. Previous affiliations of Neal Dalal include Princeton University & Institute for Advanced Study.
Papers
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Imprints of primordial non-Gaussianities on large-scale structure: Scale-dependent bias and abundance of virialized objects
TL;DR: In this paper, the effect of primordial non-Gaussianity on large-scale structure, focusing upon the most massive virialized objects, was studied and a simple fitting function for the mass function valid across the entire range of their simulations was proposed.
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The MACHO Project: Microlensing Results from 5.7 Years of LMC Observations
Charles Alcock,R. A. Allsman,David R. Alves,T. S. Axelrod,A. C. Becker,David P. Bennett,K. H. Cook,Neal Dalal,Andrew J. Drake,Kenneth C. Freeman,Marla Geha,Kim Griest,Matthew J. Lehner,S. L. Marshall,Dante Minniti,C. A. Nelson,Bruce A. Peterson,P. Popowski,Mark Pratt,Peter J. Quinn,Christopher W. Stubbs,William J. Sutherland,A. B. Tomaney,T. Vandehei,D. L. Welch +24 more
TL;DR: In this article, an analysis of 5.7 years of photometry on 11.9 million stars in the Large Magellanic Cloud (LMC) reveals 13 - 17 microlensing events.
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Direct Detection of Cold Dark Matter Substructure
TL;DR: In this paper, the abundance of satellite halos in a sample of seven lens systems was measured using Monte Carlo simulations and the critical radius for the satellites was estimated for a dn/dM M-1.8 (Mlow < M < Mhigh) satellite mass function.
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Direct Detection of CDM Substructure
Neal Dalal,C. S. Kochanek +1 more
TL;DR: In this paper, the abundance of satellite halos in a sample of 7 lens systems was measured using Monte Carlo simulations, and it was shown that substructure comprises fraction f = 0.02 (median, 0.0001
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Exploring short gamma-ray bursts as gravitational-wave standard sirens
TL;DR: In this paper, a Markov Chain Monte Carlo (MCMCMC) technique was used to construct distributions with a simplified formalism to study measurement by advanced GW detector networks, incorporating a high signal-to-noise ratio limit to describe the probability distribution for measured parameters.