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Active deep learning method for the discovery of objects of interest in large spectroscopic surveys

Result description

After several iterations, the network was able to successfully identify emission-line stars with an error smaller than 6.5%. Using the technology of the Virtual Observatory to visualise the results, we discovered 1013 spectra of 948 new candidates of emission-line objects in addition to 664 spectra of 549 objects that are listed in SIMBAD and 2644 spectra of 2291 objects identified in an earlier paper of a Chinese group led by Wen Hou. The most interesting objects with unusual spectral properties are discussed in detail.

Keywords

surveysvirtual observatory toolsstatistical methods

The result's identifiers

Alternative languages

  • Result language

    angličtina

  • Original language name

    Active deep learning method for the discovery of objects of interest in large spectroscopic surveys

  • Original language description

    After several iterations, the network was able to successfully identify emission-line stars with an error smaller than 6.5%. Using the technology of the Virtual Observatory to visualise the results, we discovered 1013 spectra of 948 new candidates of emission-line objects in addition to 664 spectra of 549 objects that are listed in SIMBAD and 2644 spectra of 2291 objects identified in an earlier paper of a Chinese group led by Wen Hou. The most interesting objects with unusual spectral properties are discussed in detail.

  • Czech name

  • Czech description

Classification

  • Type

    Jimp - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10308 - Astronomy (including astrophysics,space science)

Result continuities

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Astronomy & Astrophysics

  • ISSN

    1432-0746

  • e-ISSN

  • Volume of the periodical

    643

  • Issue of the periodical within the volume

    November

  • Country of publishing house

    FR - FRANCE

  • Number of pages

    14

  • Pages from-to

    A122

  • UT code for WoS article

    000593933900001

  • EID of the result in the Scopus database

    2-s2.0-85096117424

Basic information

Result type

Jimp - Article in a specialist periodical, which is included in the Web of Science database

Jimp

OECD FORD

Astronomy (including astrophysics,space science)

Year of implementation

2020