Searching for Dark Matter with Cosmic Gamma Rays

Nonfiction, Science & Nature, Science, Physics, Astronomy, Astrophysics & Space Science, Nature
Cover of the book Searching for Dark Matter with Cosmic Gamma Rays by Andrea Albert, Morgan & Claypool Publishers
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Andrea Albert ISBN: 9781681742700
Publisher: Morgan & Claypool Publishers Publication: September 6, 2016
Imprint: IOP Concise Physics Language: English
Author: Andrea Albert
ISBN: 9781681742700
Publisher: Morgan & Claypool Publishers
Publication: September 6, 2016
Imprint: IOP Concise Physics
Language: English

Searching for Dark Matter with Cosmic Gamma Rays summarizes the evidence for dark matter and what we can learn about its particle nature using cosmic gamma rays. It has almost been 100 years since Fritz Zwicky first detected hints that most of the matter in the Universe that doesn't directly emit or reflect light. Since then, the observational evidence for dark matter has continued to grow. Dark matter may be a new kind of particle that is governed by physics beyond our Standard Model of particle physics. In many models, dark matter annihilation or decay produces gamma rays. There are a variety of instruments observing the gamma-ray sky from tens of MeV to hundreds of TeV. Some make deep, focused observations of small regions, while others provide coverage of the entire sky. Each experiment offers complementary sensitivity to dark matter searches in a variety of target sizes, locations, and dark matter mass scales. We review results from recent gamma-ray experiments including anomalies some have attributed to dark matter. We also discuss how our gamma-ray observations complement other dark matter searches and the prospects for future experiments.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Searching for Dark Matter with Cosmic Gamma Rays summarizes the evidence for dark matter and what we can learn about its particle nature using cosmic gamma rays. It has almost been 100 years since Fritz Zwicky first detected hints that most of the matter in the Universe that doesn't directly emit or reflect light. Since then, the observational evidence for dark matter has continued to grow. Dark matter may be a new kind of particle that is governed by physics beyond our Standard Model of particle physics. In many models, dark matter annihilation or decay produces gamma rays. There are a variety of instruments observing the gamma-ray sky from tens of MeV to hundreds of TeV. Some make deep, focused observations of small regions, while others provide coverage of the entire sky. Each experiment offers complementary sensitivity to dark matter searches in a variety of target sizes, locations, and dark matter mass scales. We review results from recent gamma-ray experiments including anomalies some have attributed to dark matter. We also discuss how our gamma-ray observations complement other dark matter searches and the prospects for future experiments.

More books from Morgan & Claypool Publishers

Cover of the book A Guided Tour of Light Beams by Andrea Albert
Cover of the book SMath for Physics by Andrea Albert
Cover of the book Quantifying Measurement by Andrea Albert
Cover of the book Remote Sensing Image Processing by Andrea Albert
Cover of the book Introduction to Computational Physics for Undergraduates by Andrea Albert
Cover of the book Demystifying OWL for the Enterprise by Andrea Albert
Cover of the book Testing iOS Apps with HadoopUnit by Andrea Albert
Cover of the book Kinematic Labs with Mobile Devices by Andrea Albert
Cover of the book Skin Photoaging by Andrea Albert
Cover of the book Outside the Research Lab, Volume 3 by Andrea Albert
Cover of the book Biophysics of the Senses by Andrea Albert
Cover of the book Optical Nanomanipulation by Andrea Albert
Cover of the book Web Indicators for Research Evaluation by Andrea Albert
Cover of the book Is It the 'Same' Result by Andrea Albert
Cover of the book Adversarial Machine Learning by Andrea Albert
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy