The Delta Scuti Network: Steps Towards Successful Asteroseismology of Delta Scuti Stars

Zima, W.; Breger, M.; Bischof, K.; Rodler, F.; Stankov, A.; Pamyatnykh, A. A.; Antoci, V.; Lorenz, D.; Sperl, M.; Zechner, R.; Garrido, R.; Wood, M. A.; Handler, G.; Shobbrook, R. R.

doi:10.1017/s025292110001719x

Cited by 2 publications

(4 citation statements)

References 2 publications

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“…The residual signals are obtained by removing the signals of the significant pulsational modes. The weight of each data point, w i , is computed as (Breger et al 2002)…”

Section: Weighting Of Datamentioning

confidence: 99%

“…The change in amplitude is about 3-5 mmag, and the change in phase is about 0.05-0.20 cycle (Handler et al 1998(Handler et al , 2000Aerts et al 2002). BI CMi shows an amplitude variability in one mode, about 2 mmag/year (Breger et al 2002). 44 Tau shows the amplitude variations in all nonradial modes detected, with a change up to 5 mmag in a time scale of year (Park & Lee 1995;Antoci et al 2007;Breger & Lenz 2008).…”

Section: Introductionmentioning

confidence: 99%

“…Examples of space missions providing asteroseimic data are WIRE (Hacking et al 1999), MOST (Walker et al 2003), CoRoT (Baglin et al 2002), and Kepler (Borucki et al 2010;Uytterhoeven et al 2011). Examples of ground-based networks are the Whole Earth Telescope (Nather et al 1990), STEPHI (Michel & Baglin 1991), the Delta Scuti Network (Zima et al 2002), and SONG (Grundahl et al 2008). The data from ground-based networks could be used to study long-term variations.…”

Section: Introductionmentioning

confidence: 99%

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Mode Parameters ofδScuti Stars V830 Her and HD 163032 with Four-Year Data from the Taiwan Automated Telescope Network

Fernández

Chou

Wang

et al. 2013

Publications of the Astronomical Society of the Pacific

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We study two δ Scuti stars, V830 Her and HD 163032, using four-year asteroseismic photometric data taken with the Taiwan Automated Telescope Network. We check the consistency of the pulsational frequencies obtained from data of different years and sites with three different methods to remove the artificial frequencies. Fourteen frequencies are detected for V830 Her. Among them, eight are independent modes, one is a harmonic frequency, and five are combination frequencies. Four frequencies are detected for HD 163032. Three are independent frequencies and one is a harmonic frequency. We study the temporal variability of mode frequency, amplitude, and phase. No pattern is found in the temporal variations of the mode parameters for all modes in the period under study. Furthermore, the year-to-year variations of the mode parameters from each site are similar to the differences between two sites. This suggests that the observed variations of mode parameters among different years and different sites are random. We treat the standard deviation of these variations as an estimate of the measurement errors. For the main mode of V830 Her, the estimated error is 0:00004 cd À1 for frequency, 0.7 mmag for amplitude, and 0.01 cycle for phase.

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“…The residual signals are obtained by removing the signals of the significant pulsational modes. The weight of each data point, w i , is computed as (Breger et al 2002)…”

Section: Weighting Of Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Mode Parameters ofδScuti Stars V830 Her and HD 163032 with Four-Year Data from the Taiwan Automated Telescope Network

Fernández

Chou

Wang

et al. 2013

Publications of the Astronomical Society of the Pacific

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“…Therefore ground-based telescopes that are more feasible for multiple-site and multiple-filter observations (e.g. Delta Scuti Network, Zima et al 2002) are nonetheless useful for the identification of pulsation modes and thus for the study of interior structures.…”

Section: Introductionmentioning

confidence: 99%

The TAIWAN-AMERICAN OCCULTATION SURVEY PROJECT STELLAR VARIABILITY. I. DETECTION OF LOW-AMPLITUDE Δ SCUTI STARS

Kim

Protopapas

Alcock

et al. 2010

The Astronomical Journal

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We analyzed data accumulated during 2005 and 2006 by the Taiwan-American Occultation Survey (TAOS) in order to detect short-period variable stars (periods of < ∼ 1 hour) such as δ Scuti. TAOS is designed for the detection of stellar occultation by small-size Kuiper Belt Objects (KBOs) and is operating four 50cm telescopes at an effective cadence of 5Hz. The four telescopes simultaneously monitor the same patch of the sky in order to reduce false positives. To detect short-period variables, we used the Fast Fourier Transform algorithm (FFT) inasmuch as the data points in TAOS light-curves are evenly spaced. Using FFT, we found 41 short-period variables with amplitudes smaller than a few hundredths of a magnitude and periods of about an hour, which suggest that they are low-amplitude δ Scuti stars (LADS). The light-curves of TAOS δ Scuti stars are accessible online at the Time Series Center website (http://timemachine.iic.harvard.edu). a Combination of TAOS field ID and TAOS star ID. b We doubled amplitudes derived by PERIOD04. c SNR of frequencies derived using PERIOD04. dThe number of identifications / the number of zipper runs. Note that we did not count zipper runs observed by only one telescope. e The B8 star found to be an A5 star as explained in the text.f The G5 star found to be an F0 star as explained in the text.

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The Delta Scuti Network: Steps Towards Successful Asteroseismology of Delta Scuti Stars

Cited by 2 publications

References 2 publications

Mode Parameters ofδScuti Stars V830 Her and HD 163032 with Four-Year Data from the Taiwan Automated Telescope Network

Mode Parameters ofδScuti Stars V830 Her and HD 163032 with Four-Year Data from the Taiwan Automated Telescope Network

The TAIWAN-AMERICAN OCCULTATION SURVEY PROJECT STELLAR VARIABILITY. I. DETECTION OF LOW-AMPLITUDE Δ SCUTI STARS

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