2018
DOI: 10.1088/1475-7516/2018/05/010
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Cored density profiles in the DARKexp model

Abstract: The DARKexp model represents a novel and promising attempt to solve a long standing problem of statistical mechanics, that of explaining from first principles the quasistationary states at the end of the collisionless gravitational collapse. The model, which yields good fits to observation and simulation data on several scales, was originally conceived to provide a theoretical basis for the 1/r cusp of the Navarro-Frenk-White profile. In this note we show that it also allows for cored density profiles that, wh… Show more

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Cited by 2 publications
(11 citation statements)
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“…We have found here a novel family of ergodic systems with finite size, mass and energy and with a cored density profile. They match very well the analytic results of [47] and have interesting physical properties summarized in Figs. 14 and 15.…”
Section: Discussion and Outlooksupporting
confidence: 85%
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“…We have found here a novel family of ergodic systems with finite size, mass and energy and with a cored density profile. They match very well the analytic results of [47] and have interesting physical properties summarized in Figs. 14 and 15.…”
Section: Discussion and Outlooksupporting
confidence: 85%
“…In fact, ergodic phase-space distributions have by themselves a limited applicability to the outcome of real collapses, where angular momentum plays a crucial role also in case of perfect spherical symmetry. Our goal in this work, as in the preceding one [47], was to develop a framework, both analytic and numeric, for a trustworthy and accurate solution of the DARKexp problem, since we regard the DARKexp model as a well founded first-principle approach to the quasi-equilibrium of collisionless self-gravitating matter, which moreover happens to be compatible with observations and N −body simulations. We have found here a novel family of ergodic systems with finite size, mass and energy and with a cored density profile.…”
Section: Discussion and Outlookmentioning
confidence: 99%
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