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Pregled bibliografske jedinice broj: 998574

Short time-scale variables in the Gaia era: detection and characterization by structure function analysis


(Gaia Collaboration) Roelens, Maroussia; Eyer, Laurent; Mowlavi, Nami; Lecoeur-Taïbi, Isabelle; Rimoldini, Lorenzo; Blanco-Cuaresma, Sergi; Palaversa, Lovro; Süveges, Maria; Charnas, Jonathan; Wevers, Thomas
Short time-scale variables in the Gaia era: detection and characterization by structure function analysis // Monthly notices of the Royal Astronomical Society, 472 (2017), 3; 3230-3245 doi:10.1093/mnras/stx2115 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 998574 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Short time-scale variables in the Gaia era: detection and characterization by structure function analysis

Autori
Roelens, Maroussia ; Eyer, Laurent ; Mowlavi, Nami ; Lecoeur-Taïbi, Isabelle ; Rimoldini, Lorenzo ; Blanco-Cuaresma, Sergi ; Palaversa, Lovro ; Süveges, Maria ; Charnas, Jonathan ; Wevers, Thomas

Kolaboracija
Gaia Collaboration

Izvornik
Monthly notices of the Royal Astronomical Society (0035-8711) 472 (2017), 3; 3230-3245

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
methods: data analysis ; methods: numerical ; techniques: photometric ; surveys ; stars ; variables: general

Sažetak
We investigate the capabilities of the ESA Gaia mission for detecting and characterizing short time-scale variability, from tens of seconds to a dozen hours. We assess the efficiency of the variogram analysis, for both detecting short time-scale variability and estimating the underlying characteristic time-scales from Gaia photometry, through extensive light-curve simulations for various periodic and transient short time-scale variable types. We show that, with this approach, we can detect fast periodic variability, with amplitudes down to a few millimagnitudes, as well as some M dwarf flares and supernovae explosions, with limited contamination from longer time-scale variables or constant sources. Time-scale estimates from the variogram give valuable information on the rapidity of the underlying variation, which could complement time-scale estimates from other methods, like Fourier-based periodograms, and be reinvested in preparation of ground- based photometric follow-up of short time-scale candidates evidenced by Gaia. The next step will be to find new short time-scale variable candidates from real Gaia data, and to further characterize them using all the Gaia information, including colour and spectrum.

Izvorni jezik
Engleski

Znanstvena područja
Fizika



POVEZANOST RADA


Ustanove:
Institut "Ruđer Bošković", Zagreb

Profili:

Avatar Url Lovro Palaversa (autor)

Poveznice na cjeloviti tekst rada:

doi adsabs.harvard.edu

Citiraj ovu publikaciju:

(Gaia Collaboration) Roelens, Maroussia; Eyer, Laurent; Mowlavi, Nami; Lecoeur-Taïbi, Isabelle; Rimoldini, Lorenzo; Blanco-Cuaresma, Sergi; Palaversa, Lovro; Süveges, Maria; Charnas, Jonathan; Wevers, Thomas
Short time-scale variables in the Gaia era: detection and characterization by structure function analysis // Monthly notices of the Royal Astronomical Society, 472 (2017), 3; 3230-3245 doi:10.1093/mnras/stx2115 (međunarodna recenzija, članak, znanstveni)
(Gaia Collaboration) (Gaia Collaboration) Roelens, M., Eyer, L., Mowlavi, N., Lecoeur-Taïbi, I., Rimoldini, L., Blanco-Cuaresma, S., Palaversa, L., Süveges, M., Charnas, J. & Wevers, T. (2017) Short time-scale variables in the Gaia era: detection and characterization by structure function analysis. Monthly notices of the Royal Astronomical Society, 472 (3), 3230-3245 doi:10.1093/mnras/stx2115.
@article{article, author = {Roelens, Maroussia and Eyer, Laurent and Mowlavi, Nami and Lecoeur-Ta\"{\i}bi, Isabelle and Rimoldini, Lorenzo and Blanco-Cuaresma, Sergi and Palaversa, Lovro and S\"{u}veges, Maria and Charnas, Jonathan and Wevers, Thomas}, year = {2017}, pages = {3230-3245}, DOI = {10.1093/mnras/stx2115}, keywords = {methods: data analysis, methods: numerical, techniques: photometric, surveys, stars, variables: general}, journal = {Monthly notices of the Royal Astronomical Society}, doi = {10.1093/mnras/stx2115}, volume = {472}, number = {3}, issn = {0035-8711}, title = {Short time-scale variables in the Gaia era: detection and characterization by structure function analysis}, keyword = {methods: data analysis, methods: numerical, techniques: photometric, surveys, stars, variables: general} }
@article{article, author = {Roelens, Maroussia and Eyer, Laurent and Mowlavi, Nami and Lecoeur-Ta\"{\i}bi, Isabelle and Rimoldini, Lorenzo and Blanco-Cuaresma, Sergi and Palaversa, Lovro and S\"{u}veges, Maria and Charnas, Jonathan and Wevers, Thomas}, year = {2017}, pages = {3230-3245}, DOI = {10.1093/mnras/stx2115}, keywords = {methods: data analysis, methods: numerical, techniques: photometric, surveys, stars, variables: general}, journal = {Monthly notices of the Royal Astronomical Society}, doi = {10.1093/mnras/stx2115}, volume = {472}, number = {3}, issn = {0035-8711}, title = {Short time-scale variables in the Gaia era: detection and characterization by structure function analysis}, keyword = {methods: data analysis, methods: numerical, techniques: photometric, surveys, stars, variables: general} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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