COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > Institute of Astronomy Seminars > Deciphering the Enigma of the Cosmic Ray Anisotropy
Deciphering the Enigma of the Cosmic Ray AnisotropyAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Hannah Uebler. Over the past decade, various experiments, such as IceCube and HAWC , have observed cosmic-ray anisotropy at different angular scales in a wide energy range. However, no comprehensive or satisfactory explanation has been put forth to date. The arrival distribution of cosmic rays at Earth is the convolution of the distribution of their sources and of the effects of geometry and properties of the magnetic field through which particles propagate. It is generally believed that the anisotropy topology at the largest angular scale is adiabatically shaped by diffusion in the structured interstellar magnetic field. On the contrary, the medium-and small-scale angular structure could be an effect of nondiffusive propagation of cosmic rays in perturbed magnetic fields. A possible explanation for the observed anisotropy at the TeV energy scale may be the effect of particle propagation in the heliosphere. Charged particles that the Sun continuously emits envelop our planet and its neighbours. This creates the heliosphere, a massive bubble that surrounds the Sun and deforms the interstellar medium’s magnetic field. In this talk, we explore the possibility that the heliosphere affects the cosmic ray energy and arrival distributions. This talk is part of the Institute of Astronomy Seminars series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsEngineering - Mechanics, Materials and Design (Div C) - talks and events CamTalk TMPOther talksTopological Fibre Optics Sharp Large-deviation Results: Thin Film Rupture and Stochastic Nanowaves Blood pressure measurement: the mystery of inferring arterial pressure from outside of the body Learning Operators From Data; Applications to Inverse Problems and Constitutive Modeling - Learning Constitutive Models -- History Dependence JCTS PRESENTATIONS Pancreatic Cancer - The clinical challenge; Why the microenvironment matters during progression and treatment |