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Patrick Crotty

Researcher at Colgate University

Publications -  32
Citations -  1251

Patrick Crotty is an academic researcher from Colgate University. The author has contributed to research in topics: Squid giant axon & Hodgkin–Huxley model. The author has an hindex of 13, co-authored 29 publications receiving 1111 citations. Previous affiliations of Patrick Crotty include University of Virginia & University of Chicago.

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Gravitational production of superheavy dark matter

TL;DR: In this article, the authors presented a detailed numerical calculation of wimpzilla gravitational production in hybrid-inflation and naturalinflation models and explored the dependence of the gravitational production mechanism on various models of inflation.
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Does the small CMB quadrupole moment suggest new physics

TL;DR: In this paper, the effects of cutting off the primordial power spectrum P(k) at low wave numbers were investigated, motivated by WMAP's confirmation of an anomalously low value of the quadrupole moment of the CMB temperature fluctuations.
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Josephson junction simulation of neurons

TL;DR: Josephson junction neurons provide a new tool for exploring long-term large-scale dynamics for networks of neurons and can be coupled together in ways that mimic electrical and chemical synapses.
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Current cosmological bounds on neutrino masses and relativistic relics

TL;DR: In this paper, the authors combine the most recent observations of large-scale structure (2dF and SDSS galaxy surveys) and cosmic microwave anisotropies (WMAP and ACBAR) to put constraints on flat cosmological models where the number of massive neutrinos and of massless relativistic relics are both left arbitrary.
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Bounds on isocurvature perturbations from cosmic microwave background and large scale structure data.

TL;DR: In this article, the authors obtained very stringent bounds on the possible cold dark matter, baryon, and neutrino isocurvature contributions to the primordial fluctuations in the Universe, using recent cosmic microwave background and large scale structure data.