Uncertainties in interpolated spectral data
نویسندگان
چکیده
منابع مشابه
Uncertainties in Interpolated Spectral Data
Interpolation is often used to improve the accuracy of integrals over spectral data convolved with various response functions or power distributions. Formulae are developed for propagation of uncertainties through the interpolation process, specifically for Lagrangian interpolation increasing a regular data set by factors of 5 and 2, and for cubic-spline interpolation. The interpolated data are...
متن کاملHandling Interpolated Data
This paper addresses fundamental issues related to the modeling of geometric data embedded in high-dimensional spaces. This covers several application fields, including moving objects where trajectories are described in a threeor four-dimensional space, and digital elevation models (DEMs). We show that moving objects and DEMs are specific instances of a broader class of complex spatial data tha...
متن کاملSpectral libraries and their uncertainties
Libraries of stellar spectra are fundamental tools in the study of stellar populations and in automatic determination of atmospheric parameters for large samples of observed stars. In the context of the present volume, here I give an overview of the current status of stellar spectral libraries from the perspective of stellar population modeling: what we have currently available, how good they a...
متن کاملAn Interpolated Volume Data Model
Representing volume data is an important task in many fields, from medicine [1] to physics and geology. Volumes are generated by collecting discrete measurements over a finite region of space, and this collection process leads naturally to two observations: first, what is usually called a volume is in reality a function f : V → M from a volume V to a measurement space M ; second, the volume—whi...
متن کاملModeling and Querying Interpolated Spatial Data
We consider the modeling of complex spatial data that require the interpolation of values from collections of samples. We rst show that the approach based on extending DBMSs with new types is too restrictive to meet the needs of data such as moving objects, elevation maps, or other interpolated spatial data. We propose a data model based on the constraint database paradigm, which ooers major im...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Research of the National Institute of Standards and Technology
سال: 2003
ISSN: 1044-677X
DOI: 10.6028/jres.108.007