Essig, Rouven and Feng, Jonathan and Zurek, Kathryn (2019) Illuminating Dark Matter. Astrophysics and Space Science Proceedings. Vol.56. Springer , Cham. ISBN 978-3-030-31592-4. https://resolver.caltech.edu/CaltechAUTHORS:20200803-135312220
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Abstract
Based on a Simons Symposium held in 2018, the proceedings in this volume focus on the theoretical, numerical, and observational quest for dark matter in the universe. Present ground-based and satellite searches have so far severely constrained the long-proposed theoretical models for dark matter. Nevertheless, there is continuously growing astrophysical and cosmological evidence for its existence. To address present and future developments in the field, novel ideas, theories, and approaches are called for. The symposium gathered together a new generation of experts pursuing innovative, more complex theories of dark matter than previously considered.This is being done hand in hand with experts in numerical astrophysical simulations and observational techniques—all paramount for deciphering the nature of dark matter. The proceedings volume provides coverage of the most advanced stage of understanding dark matter in various new frameworks. The collection will be useful for graduate students, postdocs, and investigators interested in cutting-edge research on one of the biggest mysteries of our universe.
Item Type: | Book | ||||||
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Additional Information: | © 2019 Springer Nature Switzerland AG. | ||||||
Subject Keywords: | dark matter; cosmic structure; dark matter detection; dark matter research; weakly interacting particles; dark matter detector; Simons Symposium; dark matter properties | ||||||
Series Name: | Astrophysics and Space Science Proceedings | ||||||
DOI: | 10.1007/978-3-030-31593-1 | ||||||
Record Number: | CaltechAUTHORS:20200803-135312220 | ||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20200803-135312220 | ||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||
ID Code: | 104705 | ||||||
Collection: | CaltechAUTHORS | ||||||
Deposited By: | Tony Diaz | ||||||
Deposited On: | 03 Aug 2020 21:06 | ||||||
Last Modified: | 16 Nov 2021 18:34 |
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