long period variables
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2020 ◽  
Vol 493 (1) ◽  
pp. 1388-1403 ◽  
Author(s):  
Jie Yu ◽  
Timothy R Bedding ◽  
Dennis Stello ◽  
Daniel Huber ◽  
Douglas L Compton ◽  
...  

ABSTRACT While long-period variables (LPVs) have been extensively investigated, especially with MACHO and OGLE data for the Magellanic Clouds, there still exist open questions in their pulsations regarding the excitation mechanisms, radial order, and angular degree assignment. Here, we perform asteroseismic analyses on LPVs observed by the 4-year Kepler mission. Using a cross-correlation method, we detect unambiguous pulsation ridges associated with radial fundamental modes (n = 1) and overtones (n ≥ 2), where the radial order assignment is made using theoretical frequencies and observed frequencies. Our results confirm that the amplitude variability seen in semiregulars is consistent with oscillations being solar-like. We identify that the dipole modes, l = 1, are dominant in the radial orders of 3 ≤ n ≤ 6, and that quadrupole modes, l = 2, are dominant in the first overtone n = 2. A test of seismic scaling relations using Gaia DR2 parallaxes reveals the possibility that the relations break down when νmax ≲ 3 $\mu {\rm Hz}$ (R ≳ 40 R⊙, or log $\rm L/L_{\odot }$ ≳ 2.6). Our homogeneous measurements of pulsation amplitude and period for 3213 LPVs will be valuable for probing effects of pulsation on mass-loss, in particular in those stars with periods around 60 d, which has been argued as a threshold of substantial pulsation-triggered mass-loss.


2019 ◽  
Vol 631 ◽  
pp. A24 ◽  
Author(s):  
T. Lebzelter ◽  
M. Trabucchi ◽  
N. Mowlavi ◽  
P. R. Wood ◽  
P. Marigo ◽  
...  

Context. The period-luminosity diagram (PLD) has proven to be a powerful tool for studying populations of pulsating red giants. Gaia Data Release 2 (DR2) provides a large data set including many long-period variables (LPVs) on which this tool can be applied. Aims. We investigate the location of LPVs from the Large and Small Magellanic Clouds in the PLD using various optical and infrared luminosity indicators from Gaia and 2MASS, respectively. We thereby distinguish between stars of different masses and surface chemistry. Methods. The data set taken from the Gaia DR2 catalogue of LPVs allows for a homogeneous study from low- to high-mass LPVs. These sources are divided into sub-populations of asymptotic giant branch (AGB) stars according to their mass and their O- or C-rich nature using the Gaia-2MASS diagram developed by our group. This diagram uses a Wesenheit index WBP, RP based on Wesenheit functions in the Gaia and 2MASS photometric bands. Four different luminosity indicators are used to study the period-luminosity (P–L) relations. Results. We provide the first observational evidence of a P–L relation offset for both fundamental and 1O pulsators between low- and intermediate-mass O-rich stars, in agreement with published pulsation predictions. Among the luminosity indicators explored, sequence C′ is the narrowest in the P–WBP, RP diagram, and is thus to be preferred over the other PLDs for the determination of distances using LPVs. The majority of massive AGB stars and red supergiants form a smooth extension of sequence C of low- and intermediate-mass AGB stars in the P–WBP, RP diagram, suggesting that they pulsate in the fundamental mode. All results are similar in the two Magellanic Clouds.


2019 ◽  
Vol 877 (2) ◽  
pp. 110 ◽  
Author(s):  
V. R. Karambelkar ◽  
S. M. Adams ◽  
P. A. Whitelock ◽  
M. M. Kasliwal ◽  
J. E. Jencson ◽  
...  

Astrophysics ◽  
2019 ◽  
Vol 62 (2) ◽  
pp. 202-209
Author(s):  
N. Mauron ◽  
K. S. Gigoyan ◽  
K. K. Gigoyan ◽  
L. P. A. Maurin ◽  
T. R. Kendall

2019 ◽  
Vol 625 ◽  
pp. A97 ◽  
Author(s):  
L. Rimoldini ◽  
B. Holl ◽  
M. Audard ◽  
N. Mowlavi ◽  
K. Nienartowicz ◽  
...  

Context. More than half a million of the 1.69 billion sources in Gaia Data Release 2 (DR2) are published with photometric time series that exhibit light variations during the 22 months of observation. Aims. An all-sky classification of common high-amplitude pulsators (Cepheids, long-period variables, δ Scuti/SX Phoenicis, and RR Lyrae stars) is provided for stars with brightness variations greater than 0.1 mag in G band. Methods. A semi-supervised classification approach was employed, firstly training multi-stage random forest classifiers with sources of known types in the literature, followed by a preliminary classification of the Gaia data and a second training phase that included a selection of the first classification results to improve the representation of some classes, before the improved classifiers were applied to the Gaia data. Dedicated validation classifiers were used to reduce the level of contamination in the published results. A relevant fraction of objects were not yet sufficiently sampled for reliable Fourier series decomposition, consequently classifiers were based on features derived from statistics of photometric time series in the G, GBP, and GRP bands, as well as from some astrometric parameters. Results. The published classification results include 195 780 RR Lyrae stars, 150 757 long-period variables, 8550 Cepheids, and 8882 δ Scuti/SX Phoenicis stars. All of these results represent candidates whose completeness and contamination are described as a function of variability type and classification reliability. Results are expressed in terms of class labels and classification scores, which are available in the vari_classifier_result table of the Gaia archive.


2019 ◽  
Vol 484 (1) ◽  
pp. 409-421 ◽  
Author(s):  
Markus Michael Rau ◽  
Sergey E Koposov ◽  
Hy Trac ◽  
Rachel Mandelbaum

2018 ◽  
Vol 483 (3) ◽  
pp. 3022-3035 ◽  
Author(s):  
J Grady ◽  
V Belokurov ◽  
N W Evans

2018 ◽  
Vol 482 (1) ◽  
pp. 929-949 ◽  
Author(s):  
Michele Trabucchi ◽  
Peter R Wood ◽  
Josefina Montalbán ◽  
Paola Marigo ◽  
Giada Pastorelli ◽  
...  

2018 ◽  
Vol 14 (S343) ◽  
pp. 309-313
Author(s):  
Ariane Lançon ◽  
Anas Gonneau ◽  
Scott C. Trager ◽  
Philippe Prugniel ◽  
Anke Arentsen ◽  
...  

AbstractThe X-Shooter Spectral Library (XSL) contains more than 800 spectra of stars across the color-magnitude diagram, that extend from near-UV to near-IR wavelengths (320-2450 nm). We summarize properties of the spectra of O-rich Long Period Variables in the XSL, such as phase-related features, and we confront the data with synthetic spectra based on static and dynamical stellar atmosphere models. We discuss successes and remaining discrepancies, keeping in mind the applications to population synthesis modeling that XSL is designed for.


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