Identification of Artifacts and Interesting Celestial Objects in the LAMOST Spectral Survey

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985815%3A_____%2F19%3A00520575" target="_blank" >RIV/67985815:_____/19:00520575 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Identification of Artifacts and Interesting Celestial Objects in the LAMOST Spectral Survey

Popis výsledku v původním jazyce

The LAMOST DR1 survey contains about two million spectra labelled by its pipeline as stellar objects of common spectral classes. There are, however, a lot of spectra corrupted in some way by both instrumental and processing artifacts, which may mimic spectral properties of interesting celestial objects, namely emission lines of Be stars and quasars. We have tested several clustering methods as well as outlier analysis on a sample of one hundred thousand spectra using Spark scripts running on a Hadoop cluster consisting of twenty-four sixteen-core nodes. This experiment was motivated by an attempt to find rare objects with interesting spectra as outliers most dissimilar from all common spectra. The result of this time-consuming procedure is a list of several hundred candidates where different artifacts are prominent, but also tens of very interesting emission-line spectra requiring further detailed examination. Many of them may be quasars or even blazars as well as yet unknown Be-stars. It deserves mentioning that most of the work benefitted considerably from technologies of the Virtual Observatory.

Název v anglickém jazyce

Identification of Artifacts and Interesting Celestial Objects in the LAMOST Spectral Survey

Popis výsledku anglicky

The LAMOST DR1 survey contains about two million spectra labelled by its pipeline as stellar objects of common spectral classes. There are, however, a lot of spectra corrupted in some way by both instrumental and processing artifacts, which may mimic spectral properties of interesting celestial objects, namely emission lines of Be stars and quasars. We have tested several clustering methods as well as outlier analysis on a sample of one hundred thousand spectra using Spark scripts running on a Hadoop cluster consisting of twenty-four sixteen-core nodes. This experiment was motivated by an attempt to find rare objects with interesting spectra as outliers most dissimilar from all common spectra. The result of this time-consuming procedure is a list of several hundred candidates where different artifacts are prominent, but also tens of very interesting emission-line spectra requiring further detailed examination. Many of them may be quasars or even blazars as well as yet unknown Be-stars. It deserves mentioning that most of the work benefitted considerably from technologies of the Virtual Observatory.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10308 - Astronomy (including astrophysics,space science)

Projekt

<a href="/cs/project/LD15113" target="_blank" >LD15113: Aplikace umělé inteligence v astronomii</a><br>

Návaznosti

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

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

Astronomical data analysis software and system XXVI

ISBN

9781583819296

ISSN

1050-3390

e-ISSN

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Počet stran výsledku

4

Strana od-do

402-405

Název nakladatele

Astronomical Society of the Pacific

Místo vydání

San Francisco

Místo konání akce

Trieste

Datum konání akce

16. 10. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000495812900097