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Introduction to gravitational lensing : with Python examples / Massimo Meneghetti.
- Format:
- Book
- Author/Creator:
- Meneghetti, Massimo, 1974- author.
- Series:
- Lecture notes in physics ; 1616-6361 956.
- Lecture notes in physics, 1616-6361 ; volume 956
- Language:
- English
- Subjects (All):
- Gravitational lenses.
- Gravitational lenses--Data processing.
- Python (Computer program language).
- Genre:
- Electronic books.
- Physical Description:
- 1 online resource (xiii, 412 pages) : illustrations (some color).
- Place of Publication:
- Cham, Switzerland : Springer, 2021.
- System Details:
- text file
- Summary:
- This book introduces the phenomenology of gravitational lensing in an accessible manner and provides a thorough discussion of the related astrophysical applications. It is intended for advanced undergraduates and graduate students who want to start working in this rapidly evolving field. This includes also senior researchers who are interested in ongoing or future surveys and missions such as DES, Euclid, WFIRST, LSST. The reader is guided through many fascinating topics related to gravitational lensing like the structure of our galaxy, the searching for exoplanets, the investigation of dark matter in galaxies and galaxy clusters, and several aspects of cosmology, including dark energy and the cosmic microwave background. The author, who has gained valuable experience as academic teacher, guides the readers towards the comprehension of the theory of gravitational lensing and related observational techniques by using simple codes written in python. This approach, beyond facilitating the understanding of gravitational lensing, is preparatory for learning the python programming language which is gaining large popularity both in academia and in the private sector.
- Contents:
- Light deflection
- The general lens
- Microlensing
- Strong lensing by galaxies and galaxy clusters
- Weak lensing by virialized structures
- Weak lensing by the large-scale-structure
- Lensing of the Cosmic Microwave Background.
- Notes:
- Includes bibliographical references and index.
- Online resource; title from PDF title page (SpringerLink, viewed November 9, 2021).
- ISBN:
- 9783030735821
- 3030735826
- OCLC:
- 1284914743
- Access Restriction:
- Restricted for use by site license.
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