Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    UID:
    almahu_9949301587702882
    Format: XVI, 250 p. 20 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783030952280
    Series Statement: Lecture Notes in Physics, 996
    Content: This book is a pedagogical guide on how to make computations in direct dark matter (DM) detection. The theory behind the calculation of direct detection cross sections and rates is presented, touching aspects related to elementary particle physics, hadronic physics, nuclear physics, and astrophysics. The book is structured in self-contained sections, covering several topics ranging from the scattering kinematics to the phenomenology of direct DM searches. It follows a model-independent approach, aiming at providing the readers with all that is needed to understand the theory and start their own analysis. Meant for graduate students and researchers with interests in particle physics and phenomenology, it is enriched with several worked examples from standard and non-standard particle DM models. Senior researchers working in different areas related to dark matter, like particle and nuclear physics, astrophysics, and cosmology, find in this book a useful and updated guide for reference.
    Note: Introduction -- Rate -- Scattering Kinematics -- From Quarks and Gluons to Nucleons -- DM-Nucleon Interaction -- From Nucleons to Nuclei -- Scattering Cross Section -- DM Velocity Distribution and Velocity Integral -- Phenomenology of Direct DM Detection -- Summary.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783030952273
    Additional Edition: Printed edition: ISBN 9783030952297
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages