Image processing of Globular Clusters - Simulation for Deconvolution Tests (GlencoeSim)

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00242679" target="_blank" >RIV/68407700:21230/16:00242679 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.sciencedirect.com/science/article/pii/S1384107616300112" target="_blank" >http://www.sciencedirect.com/science/article/pii/S1384107616300112</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.newast.2016.04.001" target="_blank" >10.1016/j.newast.2016.04.001</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Image processing of Globular Clusters - Simulation for Deconvolution Tests (GlencoeSim)

Popis výsledku v původním jazyce

This paper presents an algorithmic approach for efficiency tests of deconvolution algorithms in astronomic image processing. Due to the existence of noise in astronomical data there is no certainty that a mathematically exact result of stellar deconvolution exists and iterative or other methods such as aperture or PSF fitting photometry are commonly used. Iterative methods are important namely in the case of crowded fields (e.g., globular clusters). For tests of the efficiency of these iterative methods on various stellar fields, information about the real fluxes of the sources is essential. For this purpose a simulator of artificial images with crowded stellar fields provides initial information on source fluxes for a robust statistical comparison of various deconvolution methods. The ”GlencoeSim” simulator and the algorithms presented in this paper consider various settings of Point-Spread Functions, noise types and spatial distributions, with the aim of producing as realistic an astronomical optical stellar image as possible.

Název v anglickém jazyce

Image processing of Globular Clusters - Simulation for Deconvolution Tests (GlencoeSim)

Popis výsledku anglicky

This paper presents an algorithmic approach for efficiency tests of deconvolution algorithms in astronomic image processing. Due to the existence of noise in astronomical data there is no certainty that a mathematically exact result of stellar deconvolution exists and iterative or other methods such as aperture or PSF fitting photometry are commonly used. Iterative methods are important namely in the case of crowded fields (e.g., globular clusters). For tests of the efficiency of these iterative methods on various stellar fields, information about the real fluxes of the sources is essential. For this purpose a simulator of artificial images with crowded stellar fields provides initial information on source fluxes for a robust statistical comparison of various deconvolution methods. The ”GlencoeSim” simulator and the algorithms presented in this paper consider various settings of Point-Spread Functions, noise types and spatial distributions, with the aim of producing as realistic an astronomical optical stellar image as possible.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

<a href="/cs/project/GA14-25251S" target="_blank" >GA14-25251S: Nelineární obrazové systémy s prostorově variantní bodovou rozptylovou funkcí</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

New Astronomy

ISSN

1384-1076

e-ISSN

—

Svazek periodika

48

Číslo periodika v rámci svazku

October

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

6

Strana od-do

24-29

Kód UT WoS článku

000377819100005

EID výsledku v databázi Scopus

2-s2.0-84964489794