Data Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985815%3A_____%2F20%3A00538489" target="_blank" >RIV/67985815:_____/20:00538489 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-981-15-6337-9_7" target="_blank" >http://dx.doi.org/10.1007/978-981-15-6337-9_7</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-981-15-6337-9_7" target="_blank" >10.1007/978-981-15-6337-9_7</a>
Alternative languages
Result language
angličtina
Original language name
Data Analysis
Original language description
High-energy astrophysical processes produce a multitude of energy and time dependent data. In this chapter we explore some of the common data analysis techniques used to study such processes with current and future instrumentation. In Sect. 7.1 we explore methods for spatially resolving sources on the sky. In Sect. 7.2 we explore time series analysis methods commonly used in accreting compact objects. In Sect. 7.3 we introduce some of the common X-ray spectral models used in accreting sources and statistical fitting methods. In Sect. 7.4 we introduce the likelihood function for source detection and localization of gamma-ray sources.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
10308 - Astronomy (including astrophysics,space science)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Tutorial Guide to X-ray and Gamma-ray Astronomy : Data Reduction and Analysis
ISBN
9789811563362
Number of pages of the result
51
Pages from-to
229-279
Number of pages of the book
279
Publisher name
Springer Nature
Place of publication
Singapore
UT code for WoS chapter
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