---
_id: '11606'
abstract:
- lang: eng
  text: "Context. Our knowledge of the dynamics of stars has undergone a revolution
    through the simultaneous large amount of high-quality photometric observations
    collected by space-based asteroseismology and ground-based high-precision spectropolarimetry.
    They allowed us to probe the internal rotation of stars and their surface magnetism
    in the whole Hertzsprung-Russell diagram. However, new methods should still be
    developed to probe the deep magnetic fields in these stars.\r\n\r\nAims. Our goal
    is to provide seismic diagnoses that allow us to probe the internal magnetism
    of stars.\r\n\r\nMethods. We focused on asymptotic low-frequency gravity modes
    and high-frequency acoustic modes. Using a first-order perturbative theory, we
    derived magnetic splittings of their frequencies as explicit functions of stellar
    parameters.\r\n\r\nResults. As in the case of rotation, we show that asymptotic
    gravity and acoustic modes can allow us to probe the different components of the
    magnetic field in the cavities in which they propagate. This again demonstrates
    the high potential of using mixed-modes when this is possible."
acknowledgement: The authors thank the referee and Pr. J. Christensen-Dalsgaard for
  their very constructive comments and remarks that allowed us to improve the article.
  St. M., L. B., V. P., and K. A. acknowledge support from the European Research Council
  through ERC grant SPIRE 647383. All the members from CEA acknowledge support from
  GOLF and PLATO CNES grants of the Astrophysics Division at CEA. S. Mathur acknowledges
  support by the Ramon y Cajal fellowship number RYC-2015-17697. We made great use
  of the megyr python package for interfacing MESA and GYRE codes.
article_number: A122
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: S.
  full_name: Mathis, S.
  last_name: Mathis
- first_name: Lisa Annabelle
  full_name: Bugnet, Lisa Annabelle
  id: d9edb345-f866-11ec-9b37-d119b5234501
  last_name: Bugnet
  orcid: 0000-0003-0142-4000
- first_name: V.
  full_name: Prat, V.
  last_name: Prat
- first_name: K.
  full_name: Augustson, K.
  last_name: Augustson
- first_name: S.
  full_name: Mathur, S.
  last_name: Mathur
- first_name: R. A.
  full_name: Garcia, R. A.
  last_name: Garcia
citation:
  ama: Mathis S, Bugnet LA, Prat V, Augustson K, Mathur S, Garcia RA. Probing the
    internal magnetism of stars using asymptotic magneto-asteroseismology. <i>Astronomy
    &#38; Astrophysics</i>. 2021;647. doi:<a href="https://doi.org/10.1051/0004-6361/202039180">10.1051/0004-6361/202039180</a>
  apa: Mathis, S., Bugnet, L. A., Prat, V., Augustson, K., Mathur, S., &#38; Garcia,
    R. A. (2021). Probing the internal magnetism of stars using asymptotic magneto-asteroseismology.
    <i>Astronomy &#38; Astrophysics</i>. EDP Sciences. <a href="https://doi.org/10.1051/0004-6361/202039180">https://doi.org/10.1051/0004-6361/202039180</a>
  chicago: Mathis, S., Lisa Annabelle Bugnet, V. Prat, K. Augustson, S. Mathur, and
    R. A. Garcia. “Probing the Internal Magnetism of Stars Using Asymptotic Magneto-Asteroseismology.”
    <i>Astronomy &#38; Astrophysics</i>. EDP Sciences, 2021. <a href="https://doi.org/10.1051/0004-6361/202039180">https://doi.org/10.1051/0004-6361/202039180</a>.
  ieee: S. Mathis, L. A. Bugnet, V. Prat, K. Augustson, S. Mathur, and R. A. Garcia,
    “Probing the internal magnetism of stars using asymptotic magneto-asteroseismology,”
    <i>Astronomy &#38; Astrophysics</i>, vol. 647. EDP Sciences, 2021.
  ista: Mathis S, Bugnet LA, Prat V, Augustson K, Mathur S, Garcia RA. 2021. Probing
    the internal magnetism of stars using asymptotic magneto-asteroseismology. Astronomy
    &#38; Astrophysics. 647, A122.
  mla: Mathis, S., et al. “Probing the Internal Magnetism of Stars Using Asymptotic
    Magneto-Asteroseismology.” <i>Astronomy &#38; Astrophysics</i>, vol. 647, A122,
    EDP Sciences, 2021, doi:<a href="https://doi.org/10.1051/0004-6361/202039180">10.1051/0004-6361/202039180</a>.
  short: S. Mathis, L.A. Bugnet, V. Prat, K. Augustson, S. Mathur, R.A. Garcia, Astronomy
    &#38; Astrophysics 647 (2021).
date_created: 2022-07-18T12:15:27Z
date_published: 2021-03-18T00:00:00Z
date_updated: 2022-08-19T10:11:52Z
day: '18'
doi: 10.1051/0004-6361/202039180
extern: '1'
external_id:
  arxiv:
  - '2012.11050'
intvolume: '       647'
keyword:
- Space and Planetary Science
- Astronomy and Astrophysics
- asteroseismology / waves / stars
- magnetic field / stars
- oscillations / methods
- analytical
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://arxiv.org/abs/2012.11050
month: '03'
oa: 1
oa_version: Preprint
publication: Astronomy & Astrophysics
publication_identifier:
  eissn:
  - 1432-0746
  issn:
  - 0004-6361
publication_status: published
publisher: EDP Sciences
quality_controlled: '1'
scopus_import: '1'
status: public
title: Probing the internal magnetism of stars using asymptotic magneto-asteroseismology
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 647
year: '2021'
...
---
_id: '11615'
abstract:
- lang: eng
  text: The recently published Kepler mission Data Release 25 (DR25) reported on ∼197 000
    targets observed during the mission. Despite this, no wide search for red giants
    showing solar-like oscillations have been made across all stars observed in Kepler’s
    long-cadence mode. In this work, we perform this task using custom apertures on
    the Kepler pixel files and detect oscillations in 21 914 stars, representing the
    largest sample of solar-like oscillating stars to date. We measure their frequency
    at maximum power, νmax, down to νmax≃4μHz and obtain log (g) estimates with a
    typical uncertainty below 0.05 dex, which is superior to typical measurements
    from spectroscopy. Additionally, the νmax distribution of our detections show
    good agreement with results from a simulated model of the Milky Way, with a ratio
    of observed to predicted stars of 0.992 for stars with 10<νmax<270μHz. Among our
    red giant detections, we find 909 to be dwarf/subgiant stars whose flux signal
    is polluted by a neighbouring giant as a result of using larger photometric apertures
    than those used by the NASA Kepler science processing pipeline. We further find
    that only 293 of the polluting giants are known Kepler targets. The remainder
    comprises over 600 newly identified oscillating red giants, with many expected
    to belong to the Galactic halo, serendipitously falling within the Kepler pixel
    files of targeted stars.
acknowledgement: Funding for this Discovery mission is provided by NASA’s Science
  mission Directorate. We thank the entire Kepler team without whom this investigation
  would not be possible. DS is the recipient of an Australian Research Council Future
  Fellowship (project number FT1400147). RAG acknowledges the support from CNES. SM
  acknowledges support from NASA grant NNX15AF13G, NSF grant AST-1411685, and the
  Ramon y Cajal fellowship number RYC-2015-17697. ILC acknowledges scholarship support
  from the University of Sydney. We would like to thank Nicholas Barbara and Timothy
  Bedding for providing us with a list of variable stars that helped to validate a
  number of detections in this study. We also thank the group at the University of
  Sydney for fruitful discussions. Finally, we gratefully acknowledge the support
  of NVIDIA Corporation with the donation of the Titan Xp GPU used for this research.
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Marc
  full_name: Hon, Marc
  last_name: Hon
- first_name: Dennis
  full_name: Stello, Dennis
  last_name: Stello
- first_name: Rafael A
  full_name: García, Rafael A
  last_name: García
- first_name: Savita
  full_name: Mathur, Savita
  last_name: Mathur
- first_name: Sanjib
  full_name: Sharma, Sanjib
  last_name: Sharma
- first_name: Isabel L
  full_name: Colman, Isabel L
  last_name: Colman
- first_name: Lisa Annabelle
  full_name: Bugnet, Lisa Annabelle
  id: d9edb345-f866-11ec-9b37-d119b5234501
  last_name: Bugnet
  orcid: 0000-0003-0142-4000
citation:
  ama: Hon M, Stello D, García RA, et al. A search for red giant solar-like oscillations
    in all Kepler data. <i>Monthly Notices of the Royal Astronomical Society</i>.
    2019;485(4):5616-5630. doi:<a href="https://doi.org/10.1093/mnras/stz622">10.1093/mnras/stz622</a>
  apa: Hon, M., Stello, D., García, R. A., Mathur, S., Sharma, S., Colman, I. L.,
    &#38; Bugnet, L. A. (2019). A search for red giant solar-like oscillations in
    all Kepler data. <i>Monthly Notices of the Royal Astronomical Society</i>. Oxford
    University Press. <a href="https://doi.org/10.1093/mnras/stz622">https://doi.org/10.1093/mnras/stz622</a>
  chicago: Hon, Marc, Dennis Stello, Rafael A García, Savita Mathur, Sanjib Sharma,
    Isabel L Colman, and Lisa Annabelle Bugnet. “A Search for Red Giant Solar-like
    Oscillations in All Kepler Data.” <i>Monthly Notices of the Royal Astronomical
    Society</i>. Oxford University Press, 2019. <a href="https://doi.org/10.1093/mnras/stz622">https://doi.org/10.1093/mnras/stz622</a>.
  ieee: M. Hon <i>et al.</i>, “A search for red giant solar-like oscillations in all
    Kepler data,” <i>Monthly Notices of the Royal Astronomical Society</i>, vol. 485,
    no. 4. Oxford University Press, pp. 5616–5630, 2019.
  ista: Hon M, Stello D, García RA, Mathur S, Sharma S, Colman IL, Bugnet LA. 2019.
    A search for red giant solar-like oscillations in all Kepler data. Monthly Notices
    of the Royal Astronomical Society. 485(4), 5616–5630.
  mla: Hon, Marc, et al. “A Search for Red Giant Solar-like Oscillations in All Kepler
    Data.” <i>Monthly Notices of the Royal Astronomical Society</i>, vol. 485, no.
    4, Oxford University Press, 2019, pp. 5616–30, doi:<a href="https://doi.org/10.1093/mnras/stz622">10.1093/mnras/stz622</a>.
  short: M. Hon, D. Stello, R.A. García, S. Mathur, S. Sharma, I.L. Colman, L.A. Bugnet,
    Monthly Notices of the Royal Astronomical Society 485 (2019) 5616–5630.
date_created: 2022-07-18T14:26:03Z
date_published: 2019-06-01T00:00:00Z
date_updated: 2022-08-22T07:35:19Z
day: '01'
doi: 10.1093/mnras/stz622
extern: '1'
external_id:
  arxiv:
  - '1903.00115'
intvolume: '       485'
issue: '4'
keyword:
- Space and Planetary Science
- Astronomy and Astrophysics
- asteroseismology
- 'methods: data analysis'
- 'techniques: image processing'
- 'stars: oscillations'
- 'stars: statistics'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://arxiv.org/abs/1903.00115
month: '06'
oa: 1
oa_version: Preprint
page: 5616-5630
publication: Monthly Notices of the Royal Astronomical Society
publication_identifier:
  eissn:
  - 1365-2966
  issn:
  - 0035-8711
publication_status: published
publisher: Oxford University Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: A search for red giant solar-like oscillations in all Kepler data
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 485
year: '2019'
...
---
_id: '11627'
abstract:
- lang: eng
  text: 'For a solar-like star, the surface rotation evolves with time, allowing in
    principle to estimate the age of a star from its surface rotation period. Here
    we are interested in measuring surface rotation periods of solar-like stars observed
    by the NASA mission Kepler. Different methods have been developed to track rotation
    signals in Kepler photometric light curves: time-frequency analysis based on wavelet
    techniques, autocorrelation and composite spectrum. We use the learning abilities
    of random forest classifiers to take decisions during two crucial steps of the
    analysis. First, given some input parameters, we discriminate the considered Kepler
    targets between rotating MS stars, non-rotating MS stars, red giants, binaries
    and pulsators. We then use a second classifier only on the MS rotating targets
    to decide the best data analysis treatment.'
article_number: '1906.09609'
article_processing_charge: No
arxiv: 1
author:
- first_name: S. N.
  full_name: Breton, S. N.
  last_name: Breton
- first_name: Lisa Annabelle
  full_name: Bugnet, Lisa Annabelle
  id: d9edb345-f866-11ec-9b37-d119b5234501
  last_name: Bugnet
  orcid: 0000-0003-0142-4000
- first_name: A. R. G.
  full_name: Santos, A. R. G.
  last_name: Santos
- first_name: A. Le
  full_name: Saux, A. Le
  last_name: Saux
- first_name: S.
  full_name: Mathur, S.
  last_name: Mathur
- first_name: P. L.
  full_name: Palle, P. L.
  last_name: Palle
- first_name: R. A.
  full_name: Garcia, R. A.
  last_name: Garcia
citation:
  ama: Breton SN, Bugnet LA, Santos ARG, et al. Determining surface rotation periods
    of solar-like stars observed by the Kepler mission using machine learning techniques.
    <i>arXiv</i>. doi:<a href="https://doi.org/10.48550/arXiv.1906.09609">10.48550/arXiv.1906.09609</a>
  apa: Breton, S. N., Bugnet, L. A., Santos, A. R. G., Saux, A. L., Mathur, S., Palle,
    P. L., &#38; Garcia, R. A. (n.d.). Determining surface rotation periods of solar-like
    stars observed by the Kepler mission using machine learning techniques. <i>arXiv</i>.
    <a href="https://doi.org/10.48550/arXiv.1906.09609">https://doi.org/10.48550/arXiv.1906.09609</a>
  chicago: Breton, S. N., Lisa Annabelle Bugnet, A. R. G. Santos, A. Le Saux, S. Mathur,
    P. L. Palle, and R. A. Garcia. “Determining Surface Rotation Periods of Solar-like
    Stars Observed by the Kepler Mission Using Machine Learning Techniques.” <i>ArXiv</i>,
    n.d. <a href="https://doi.org/10.48550/arXiv.1906.09609">https://doi.org/10.48550/arXiv.1906.09609</a>.
  ieee: S. N. Breton <i>et al.</i>, “Determining surface rotation periods of solar-like
    stars observed by the Kepler mission using machine learning techniques,” <i>arXiv</i>.
    .
  ista: Breton SN, Bugnet LA, Santos ARG, Saux AL, Mathur S, Palle PL, Garcia RA.
    Determining surface rotation periods of solar-like stars observed by the Kepler
    mission using machine learning techniques. arXiv, 1906.09609.
  mla: Breton, S. N., et al. “Determining Surface Rotation Periods of Solar-like Stars
    Observed by the Kepler Mission Using Machine Learning Techniques.” <i>ArXiv</i>,
    1906.09609, doi:<a href="https://doi.org/10.48550/arXiv.1906.09609">10.48550/arXiv.1906.09609</a>.
  short: S.N. Breton, L.A. Bugnet, A.R.G. Santos, A.L. Saux, S. Mathur, P.L. Palle,
    R.A. Garcia, ArXiv (n.d.).
date_created: 2022-07-20T11:18:53Z
date_published: 2019-06-23T00:00:00Z
date_updated: 2022-08-22T08:16:53Z
day: '23'
doi: 10.48550/arXiv.1906.09609
extern: '1'
external_id:
  arxiv:
  - '1906.09609'
keyword:
- asteroseismology
- rotation
- solar-like stars
- kepler
- machine learning
- random forest
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://arxiv.org/abs/1906.09609
month: '06'
oa: 1
oa_version: Preprint
publication: arXiv
publication_status: submitted
status: public
title: Determining surface rotation periods of solar-like stars observed by the Kepler
  mission using machine learning techniques
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2019'
...
---
_id: '11630'
abstract:
- lang: eng
  text: 'The second mission of NASA’s Kepler satellite, K2, has collected hundreds
    of thousands of lightcurves for stars close to the ecliptic plane. This new sample
    could increase the number of known pulsating stars and then improve our understanding
    of those stars. For the moment only a few stars have been properly classified
    and published. In this work, we present a method to automaticly classify K2 pulsating
    stars using a Machine Learning technique called Random Forest. The objective is
    to sort out the stars in four classes: red giant (RG), main-sequence Solar-like
    stars (SL), classical pulsators (PULS) and Other. To do this we use the effective
    temperatures and the luminosities of the stars as well as the FliPer features,
    that measures the amount of power contained in the power spectral density. The
    classifier now retrieves the right classification for more than 80% of the stars.'
article_number: '1906.09611'
article_processing_charge: No
arxiv: 1
author:
- first_name: A. Le
  full_name: Saux, A. Le
  last_name: Saux
- first_name: Lisa Annabelle
  full_name: Bugnet, Lisa Annabelle
  id: d9edb345-f866-11ec-9b37-d119b5234501
  last_name: Bugnet
  orcid: 0000-0003-0142-4000
- first_name: S.
  full_name: Mathur, S.
  last_name: Mathur
- first_name: S. N.
  full_name: Breton, S. N.
  last_name: Breton
- first_name: R. A.
  full_name: Garcia, R. A.
  last_name: Garcia
citation:
  ama: Saux AL, Bugnet LA, Mathur S, Breton SN, Garcia RA. Automatic classification
    of K2 pulsating stars using machine learning techniques. <i>arXiv</i>. doi:<a
    href="https://doi.org/10.48550/arXiv.1906.09611">10.48550/arXiv.1906.09611</a>
  apa: Saux, A. L., Bugnet, L. A., Mathur, S., Breton, S. N., &#38; Garcia, R. A.
    (n.d.). Automatic classification of K2 pulsating stars using machine learning
    techniques. <i>arXiv</i>. <a href="https://doi.org/10.48550/arXiv.1906.09611">https://doi.org/10.48550/arXiv.1906.09611</a>
  chicago: Saux, A. Le, Lisa Annabelle Bugnet, S. Mathur, S. N. Breton, and R. A.
    Garcia. “Automatic Classification of K2 Pulsating Stars Using Machine Learning
    Techniques.” <i>ArXiv</i>, n.d. <a href="https://doi.org/10.48550/arXiv.1906.09611">https://doi.org/10.48550/arXiv.1906.09611</a>.
  ieee: A. L. Saux, L. A. Bugnet, S. Mathur, S. N. Breton, and R. A. Garcia, “Automatic
    classification of K2 pulsating stars using machine learning techniques,” <i>arXiv</i>.
    .
  ista: Saux AL, Bugnet LA, Mathur S, Breton SN, Garcia RA. Automatic classification
    of K2 pulsating stars using machine learning techniques. arXiv, 1906.09611.
  mla: Saux, A. Le, et al. “Automatic Classification of K2 Pulsating Stars Using Machine
    Learning Techniques.” <i>ArXiv</i>, 1906.09611, doi:<a href="https://doi.org/10.48550/arXiv.1906.09611">10.48550/arXiv.1906.09611</a>.
  short: A.L. Saux, L.A. Bugnet, S. Mathur, S.N. Breton, R.A. Garcia, ArXiv (n.d.).
date_created: 2022-07-21T06:57:10Z
date_published: 2019-06-23T00:00:00Z
date_updated: 2022-08-22T08:20:29Z
day: '23'
doi: 10.48550/arXiv.1906.09611
extern: '1'
external_id:
  arxiv:
  - '1906.09611'
keyword:
- asteroseismology - methods
- data analysis - thecniques
- machine learning - stars
- oscillations
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.1906.09611
month: '06'
oa: 1
oa_version: Preprint
publication: arXiv
publication_status: submitted
status: public
title: Automatic classification of K2 pulsating stars using machine learning techniques
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2019'
...
---
_id: '11618'
abstract:
- lang: eng
  text: Asteroseismology provides global stellar parameters such as masses, radii,
    or surface gravities using mean global seismic parameters and effective temperature
    for thousands of low-mass stars (0.8 M⊙ < M < 3 M⊙). This methodology has been
    successfully applied to stars in which acoustic modes excited by turbulent convection
    are measured. Other methods such as the Flicker technique can also be used to
    determine stellar surface gravities, but only works for log g above 2.5 dex. In
    this work, we present a new metric called FliPer (Flicker in spectral power density,
    in opposition to the standard Flicker measurement which is computed in the time
    domain); it is able to extend the range for which reliable surface gravities can
    be obtained (0.1 < log g < 4.6 dex) without performing any seismic analysis for
    stars brighter than Kp < 14. FliPer takes into account the average variability
    of a star measured in the power density spectrum in a given range of frequencies.
    However, FliPer values calculated on several ranges of frequency are required
    to better characterize a star. Using a large set of asteroseismic targets it is
    possible to calibrate the behavior of surface gravity with FliPer through machine
    learning. This calibration made with a random forest regressor covers a wide range
    of surface gravities from main-sequence stars to subgiants and red giants, with
    very small uncertainties from 0.04 to 0.1 dex. FliPer values can be inserted in
    automatic global seismic pipelines to either give an estimation of the stellar
    surface gravity or to assess the quality of the seismic results by detecting any
    outliers in the obtained νmax values. FliPer also constrains the surface gravities
    of main-sequence dwarfs using only long-cadence data for which the Nyquist frequency
    is too low to measure the acoustic-mode properties.
acknowledgement: We thank the anonymous referee for the very useful comments. We would
  also like to thank M. Benbakoura for his help in analyzing the light curves of several
  binary systems included in our set of stars. L.B. and R.A.G. acknowledge the support
  from PLATO and GOLF CNES grants. S.M. acknowledges support from the National Aeronautics
  and Space Administration under Grant NNX15AF13G, the National Science Foundation
  grant AST-1411685, and the Ramon y Cajal fellowship no. RYC-2015-17697. E.C. is
  funded by the European Union’s Horizon 2020 research and innovation program under
  the Marie Sklodowska-Curie grant agreement no. 664931. O.J.H and B.M.R. acknowledge
  the support of the UK Science and Technology Facilities Council (STFC). Funding
  for the Stellar Astrophysics Centre is provided by the Danish National Research
  Foundation (Grant DNRF106). This research has made use of NASA’s Astrophysics Data
  System. Data presented in this paper were obtained from the Mikulski Archive for
  Space Telescopes (MAST). STScI is operated by the Association of Universities for
  Research in Astronomy, Inc., under NASA contract NAS5-26555.
article_number: A38
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Lisa Annabelle
  full_name: Bugnet, Lisa Annabelle
  id: d9edb345-f866-11ec-9b37-d119b5234501
  last_name: Bugnet
  orcid: 0000-0003-0142-4000
- first_name: R. A.
  full_name: García, R. A.
  last_name: García
- first_name: G. R.
  full_name: Davies, G. R.
  last_name: Davies
- first_name: S.
  full_name: Mathur, S.
  last_name: Mathur
- first_name: E.
  full_name: Corsaro, E.
  last_name: Corsaro
- first_name: O. J.
  full_name: Hall, O. J.
  last_name: Hall
- first_name: B. M.
  full_name: Rendle, B. M.
  last_name: Rendle
citation:
  ama: 'Bugnet LA, García RA, Davies GR, et al. FliPer: A global measure of power
    density to estimate surface gravities of main-sequence solar-like stars and red
    giants. <i>Astronomy &#38; Astrophysics</i>. 2018;620. doi:<a href="https://doi.org/10.1051/0004-6361/201833106">10.1051/0004-6361/201833106</a>'
  apa: 'Bugnet, L. A., García, R. A., Davies, G. R., Mathur, S., Corsaro, E., Hall,
    O. J., &#38; Rendle, B. M. (2018). FliPer: A global measure of power density to
    estimate surface gravities of main-sequence solar-like stars and red giants. <i>Astronomy
    &#38; Astrophysics</i>. EDP Sciences. <a href="https://doi.org/10.1051/0004-6361/201833106">https://doi.org/10.1051/0004-6361/201833106</a>'
  chicago: 'Bugnet, Lisa Annabelle, R. A. García, G. R. Davies, S. Mathur, E. Corsaro,
    O. J. Hall, and B. M. Rendle. “FliPer: A Global Measure of Power Density to Estimate
    Surface Gravities of Main-Sequence Solar-like Stars and Red Giants.” <i>Astronomy
    &#38; Astrophysics</i>. EDP Sciences, 2018. <a href="https://doi.org/10.1051/0004-6361/201833106">https://doi.org/10.1051/0004-6361/201833106</a>.'
  ieee: 'L. A. Bugnet <i>et al.</i>, “FliPer: A global measure of power density to
    estimate surface gravities of main-sequence solar-like stars and red giants,”
    <i>Astronomy &#38; Astrophysics</i>, vol. 620. EDP Sciences, 2018.'
  ista: 'Bugnet LA, García RA, Davies GR, Mathur S, Corsaro E, Hall OJ, Rendle BM.
    2018. FliPer: A global measure of power density to estimate surface gravities
    of main-sequence solar-like stars and red giants. Astronomy &#38; Astrophysics.
    620, A38.'
  mla: 'Bugnet, Lisa Annabelle, et al. “FliPer: A Global Measure of Power Density
    to Estimate Surface Gravities of Main-Sequence Solar-like Stars and Red Giants.”
    <i>Astronomy &#38; Astrophysics</i>, vol. 620, A38, EDP Sciences, 2018, doi:<a
    href="https://doi.org/10.1051/0004-6361/201833106">10.1051/0004-6361/201833106</a>.'
  short: L.A. Bugnet, R.A. García, G.R. Davies, S. Mathur, E. Corsaro, O.J. Hall,
    B.M. Rendle, Astronomy &#38; Astrophysics 620 (2018).
date_created: 2022-07-18T14:37:39Z
date_published: 2018-12-01T00:00:00Z
date_updated: 2022-08-22T07:41:07Z
day: '01'
doi: 10.1051/0004-6361/201833106
extern: '1'
external_id:
  arxiv:
  - '1809.05105'
intvolume: '       620'
keyword:
- Space and Planetary Science
- Astronomy and Astrophysics
- asteroseismology / methods
- data analysis / stars
- oscillations
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://arxiv.org/abs/1809.05105
month: '12'
oa: 1
oa_version: Preprint
publication: Astronomy & Astrophysics
publication_identifier:
  eissn:
  - 1432-0746
  issn:
  - 0004-6361
publication_status: published
publisher: EDP Sciences
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'FliPer: A global measure of power density to estimate surface gravities of
  main-sequence solar-like stars and red giants'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 620
year: '2018'
...
---
_id: '11620'
abstract:
- lang: eng
  text: We report the discovery and characterization of HD 89345b (K2-234b; EPIC 248777106b),
    a Saturn-sized planet orbiting a slightly evolved star. HD 89345 is a bright star
    (V = 9.3 mag) observed by the K2 mission with 1 min time sampling. It exhibits
    solar-like oscillations. We conducted asteroseismology to determine the parameters
    of the star, finding the mass and radius to be 1.12+0.04−0.01M⊙ and 1.657+0.020−0.004R⊙⁠,
    respectively. The star appears to have recently left the main sequence, based
    on the inferred age, 9.4+0.4−1.3Gyr⁠, and the non-detection of mixed modes. The
    star hosts a ‘warm Saturn’ (P = 11.8 d, Rp = 6.86 ± 0.14 R⊕). Radial-velocity
    follow-up observations performed with the FIbre-fed Echelle Spectrograph, HARPS,
    and HARPS-N spectrographs show that the planet has a mass of 35.7 ± 3.3 M⊕. The
    data also show that the planet’s orbit is eccentric (e ≈ 0.2). An investigation
    of the rotational splitting of the oscillation frequencies of the star yields
    no conclusive evidence on the stellar inclination angle. We further obtained Rossiter–McLaughlin
    observations, which result in a broad posterior of the stellar obliquity. The
    planet seems to confirm to the same patterns that have been observed for other
    sub-Saturns regarding planet mass and multiplicity, orbital eccentricity, and
    stellar metallicity.
acknowledgement: 'We gratefully acknowledge many helpful suggestions by the anonymous
  referee. Based on observations made with a) the Nordic Optical Telescope, operated
  by the Nordic Optical Telescope Scientific Association at the Observatorio del Roque
  de los Muchachos; b) the ESO-3.6m telescope at La Silla Observatory under programme
  ID 0100.C-0808; c) the Italian Telescopio Nazionale Galileo operated on the island
  of La Palma by the Fundación Galileo Galilei of the Istituto Nazionale di Astrofisica.
  NESSI was funded by the NASA Exoplanet Exploration Program and the NASA Ames Research
  Center. NESSI was built at the Ames Research Center by Steve B. Howell, Nic Scott,
  Elliott P. Horch, and Emmett Quigley. This project has received funding from the
  European Union’s Horizon 2020 research and innovation programme under grant agreement
  No 730890. This material reflects only the authors views and the Commission is not
  liable for any use that may be made of the information contained therein. DG gratefully
  acknowledges the financial support of the Programma Giovani Ricercatori – Rita Levi
  Montalcini – Rientro dei Cervelli (2012) awarded by the Italian Ministry of Education,
  Universities and Research (MIUR). SaM would like to acknowledge support from the
  Ramon y Cajal fellowship number RYC-2015-17697. AJ, MH, and SA acknowledge support
  by the Danish Council for Independent Research, through a DFF Sapere Aude Starting
  Grant nr. 4181-00487B. SzCs, APH, MP, and HR acknowledge the support of the DFG
  priority program SPP 1992Exploring the Diversity of Extrasolar Planets (grants HA
  3279/12-1, PA 525/18-1, PA5 25/19-1 and PA525/20-1, RA 714/14-1) HD, CR, and FPH
  acknowledge the financial support from MINECO under grants ESP2015-65712-C5-4-R
  and AYA2016-76378-P. This paper has made use of the IAC Supercomputing facility
  HTCondor (http://research.cs.wisc.edu/htcondor/), partly financed by the Ministry
  of Economy and Competitiveness with FEDER funds, code IACA13-3E-2493. MF and CMP
  gratefully acknowledge the support of the Swedish National Space Board. RAG and
  StM thanks the support of the CNES PLATO grant. PGB is a postdoctoral fellow in
  the MINECO-programme ’Juan de la Cierva Incorporacion’ (IJCI-2015-26034). StM acknowledges
  support from ERC through SPIRE grant (647383) and from ISSI through the ENCELADE
  2.0 team. VSA acknowledges support from VILLUM FONDEN (research grant 10118). MNL
  acknowledges support from the ESA-PRODEX programme. Funding for the Stellar Astrophysics
  Centre is provided by The Danish National Research Foundation (Grant agreement no.:
  DNRF106) This work has made use of data from the European Space Agency (ESA) mission
  Gaia (https://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and
  Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium).
  Funding for the DPAC has been provided by national institutions, in particular the
  institutions participating in the Gaia Multilateral Agreement. This research was
  made with the use of NASA’s Astrophysics Data System and the NASA Exoplanet Archive,
  which is operated by the California Institute of Technology, under contract with
  the National Aeronautics and Space Administration under the Exoplanet Exploration
  Program.'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: V
  full_name: Van Eylen, V
  last_name: Van Eylen
- first_name: F
  full_name: Dai, F
  last_name: Dai
- first_name: S
  full_name: Mathur, S
  last_name: Mathur
- first_name: D
  full_name: Gandolfi, D
  last_name: Gandolfi
- first_name: S
  full_name: Albrecht, S
  last_name: Albrecht
- first_name: M
  full_name: Fridlund, M
  last_name: Fridlund
- first_name: R A
  full_name: García, R A
  last_name: García
- first_name: E
  full_name: Guenther, E
  last_name: Guenther
- first_name: M
  full_name: Hjorth, M
  last_name: Hjorth
- first_name: A B
  full_name: Justesen, A B
  last_name: Justesen
- first_name: J
  full_name: Livingston, J
  last_name: Livingston
- first_name: M N
  full_name: Lund, M N
  last_name: Lund
- first_name: F
  full_name: Pérez Hernández, F
  last_name: Pérez Hernández
- first_name: J
  full_name: Prieto-Arranz, J
  last_name: Prieto-Arranz
- first_name: C
  full_name: Regulo, C
  last_name: Regulo
- first_name: Lisa Annabelle
  full_name: Bugnet, Lisa Annabelle
  id: d9edb345-f866-11ec-9b37-d119b5234501
  last_name: Bugnet
  orcid: 0000-0003-0142-4000
- first_name: M E
  full_name: Everett, M E
  last_name: Everett
- first_name: T
  full_name: Hirano, T
  last_name: Hirano
- first_name: D
  full_name: Nespral, D
  last_name: Nespral
- first_name: G
  full_name: Nowak, G
  last_name: Nowak
- first_name: E
  full_name: Palle, E
  last_name: Palle
- first_name: V
  full_name: Silva Aguirre, V
  last_name: Silva Aguirre
- first_name: T
  full_name: Trifonov, T
  last_name: Trifonov
- first_name: J N
  full_name: Winn, J N
  last_name: Winn
- first_name: O
  full_name: Barragán, O
  last_name: Barragán
- first_name: P G
  full_name: Beck, P G
  last_name: Beck
- first_name: W J
  full_name: Chaplin, W J
  last_name: Chaplin
- first_name: W D
  full_name: Cochran, W D
  last_name: Cochran
- first_name: S
  full_name: Csizmadia, S
  last_name: Csizmadia
- first_name: H
  full_name: Deeg, H
  last_name: Deeg
- first_name: M
  full_name: Endl, M
  last_name: Endl
- first_name: P
  full_name: Heeren, P
  last_name: Heeren
- first_name: S
  full_name: Grziwa, S
  last_name: Grziwa
- first_name: A P
  full_name: Hatzes, A P
  last_name: Hatzes
- first_name: D
  full_name: Hidalgo, D
  last_name: Hidalgo
- first_name: J
  full_name: Korth, J
  last_name: Korth
- first_name: S
  full_name: Mathis, S
  last_name: Mathis
- first_name: P
  full_name: Montañes Rodriguez, P
  last_name: Montañes Rodriguez
- first_name: N
  full_name: Narita, N
  last_name: Narita
- first_name: M
  full_name: Patzold, M
  last_name: Patzold
- first_name: C M
  full_name: Persson, C M
  last_name: Persson
- first_name: F
  full_name: Rodler, F
  last_name: Rodler
- first_name: A M S
  full_name: Smith, A M S
  last_name: Smith
citation:
  ama: 'Van Eylen V, Dai F, Mathur S, et al. HD 89345: A bright oscillating star hosting
    a transiting warm Saturn-sized planet observed by K2. <i>Monthly Notices of the
    Royal Astronomical Society</i>. 2018;478(4):4866-4880. doi:<a href="https://doi.org/10.1093/mnras/sty1390">10.1093/mnras/sty1390</a>'
  apa: 'Van Eylen, V., Dai, F., Mathur, S., Gandolfi, D., Albrecht, S., Fridlund,
    M., … Smith, A. M. S. (2018). HD 89345: A bright oscillating star hosting a transiting
    warm Saturn-sized planet observed by K2. <i>Monthly Notices of the Royal Astronomical
    Society</i>. Oxford University Press. <a href="https://doi.org/10.1093/mnras/sty1390">https://doi.org/10.1093/mnras/sty1390</a>'
  chicago: 'Van Eylen, V, F Dai, S Mathur, D Gandolfi, S Albrecht, M Fridlund, R A
    García, et al. “HD 89345: A Bright Oscillating Star Hosting a Transiting Warm
    Saturn-Sized Planet Observed by K2.” <i>Monthly Notices of the Royal Astronomical
    Society</i>. Oxford University Press, 2018. <a href="https://doi.org/10.1093/mnras/sty1390">https://doi.org/10.1093/mnras/sty1390</a>.'
  ieee: 'V. Van Eylen <i>et al.</i>, “HD 89345: A bright oscillating star hosting
    a transiting warm Saturn-sized planet observed by K2,” <i>Monthly Notices of the
    Royal Astronomical Society</i>, vol. 478, no. 4. Oxford University Press, pp.
    4866–4880, 2018.'
  ista: 'Van Eylen V, Dai F, Mathur S, Gandolfi D, Albrecht S, Fridlund M, García
    RA, Guenther E, Hjorth M, Justesen AB, Livingston J, Lund MN, Pérez Hernández
    F, Prieto-Arranz J, Regulo C, Bugnet LA, Everett ME, Hirano T, Nespral D, Nowak
    G, Palle E, Silva Aguirre V, Trifonov T, Winn JN, Barragán O, Beck PG, Chaplin
    WJ, Cochran WD, Csizmadia S, Deeg H, Endl M, Heeren P, Grziwa S, Hatzes AP, Hidalgo
    D, Korth J, Mathis S, Montañes Rodriguez P, Narita N, Patzold M, Persson CM, Rodler
    F, Smith AMS. 2018. HD 89345: A bright oscillating star hosting a transiting warm
    Saturn-sized planet observed by K2. Monthly Notices of the Royal Astronomical
    Society. 478(4), 4866–4880.'
  mla: 'Van Eylen, V., et al. “HD 89345: A Bright Oscillating Star Hosting a Transiting
    Warm Saturn-Sized Planet Observed by K2.” <i>Monthly Notices of the Royal Astronomical
    Society</i>, vol. 478, no. 4, Oxford University Press, 2018, pp. 4866–80, doi:<a
    href="https://doi.org/10.1093/mnras/sty1390">10.1093/mnras/sty1390</a>.'
  short: V. Van Eylen, F. Dai, S. Mathur, D. Gandolfi, S. Albrecht, M. Fridlund, R.A.
    García, E. Guenther, M. Hjorth, A.B. Justesen, J. Livingston, M.N. Lund, F. Pérez Hernández,
    J. Prieto-Arranz, C. Regulo, L.A. Bugnet, M.E. Everett, T. Hirano, D. Nespral,
    G. Nowak, E. Palle, V. Silva Aguirre, T. Trifonov, J.N. Winn, O. Barragán, P.G.
    Beck, W.J. Chaplin, W.D. Cochran, S. Csizmadia, H. Deeg, M. Endl, P. Heeren, S.
    Grziwa, A.P. Hatzes, D. Hidalgo, J. Korth, S. Mathis, P. Montañes Rodriguez, N.
    Narita, M. Patzold, C.M. Persson, F. Rodler, A.M.S. Smith, Monthly Notices of
    the Royal Astronomical Society 478 (2018) 4866–4880.
date_created: 2022-07-18T14:43:17Z
date_published: 2018-08-01T00:00:00Z
date_updated: 2022-08-22T07:45:38Z
day: '01'
doi: 10.1093/mnras/sty1390
extern: '1'
external_id:
  arxiv:
  - '1805.01860'
intvolume: '       478'
issue: '4'
keyword:
- Space and Planetary Science
- Astronomy and Astrophysics
- asteroseismology
- 'planets and satellites: composition'
- 'planets and satellites: formation'
- 'planets and satellites: fundamental parameters'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://arxiv.org/abs/1805.01860
month: '08'
oa: 1
oa_version: Preprint
page: 4866-4880
publication: Monthly Notices of the Royal Astronomical Society
publication_identifier:
  eissn:
  - 1365-2966
  issn:
  - 0035-8711
publication_status: published
publisher: Oxford University Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'HD 89345: A bright oscillating star hosting a transiting warm Saturn-sized
  planet observed by K2'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 478
year: '2018'
...
---
_id: '11631'
abstract:
- lang: eng
  text: "The recently launched NASA Transiting Exoplanet Survey Satellite (TESS) mission
    is going to collect lightcurves for a few hundred million of stars and we expect
    to increase the number of pulsating stars to analyze compared to the few thousand
    stars observed by the CoRoT, Kepler and K2 missions. However, most of the TESS
    targets have not yet been properly classified and characterized. In order to improve
    the analysis of the TESS data, it is crucial to determine the type of stellar
    pulsations in a timely manner. We propose an automatic method to classify stars
    attending to their pulsation properties, in particular, to identify solar-like
    pulsators among all TESS targets. It relies on the use of the global amount of
    power contained in the power spectrum (already known as the FliPer method) as
    a key parameter, along with\r\nthe effective temperature, to feed into a machine
    learning classifier. Our study, based on TESS simulated datasets, shows that we
    are able to classify pulsators with a 98% accuracy."
article_number: '1811.12140'
article_processing_charge: No
arxiv: 1
author:
- first_name: Lisa Annabelle
  full_name: Bugnet, Lisa Annabelle
  id: d9edb345-f866-11ec-9b37-d119b5234501
  last_name: Bugnet
  orcid: 0000-0003-0142-4000
- first_name: R. A.
  full_name: García, R. A.
  last_name: García
- first_name: G. R.
  full_name: Davies, G. R.
  last_name: Davies
- first_name: S.
  full_name: Mathur, S.
  last_name: Mathur
- first_name: O. J.
  full_name: Hall, O. J.
  last_name: Hall
- first_name: B. M.
  full_name: Rendle, B. M.
  last_name: Rendle
citation:
  ama: 'Bugnet LA, García RA, Davies GR, Mathur S, Hall OJ, Rendle BM. FliPer: Classifying
    TESS pulsating stars. <i>arXiv</i>. doi:<a href="https://doi.org/10.48550/arXiv.1811.12140">10.48550/arXiv.1811.12140</a>'
  apa: 'Bugnet, L. A., García, R. A., Davies, G. R., Mathur, S., Hall, O. J., &#38;
    Rendle, B. M. (n.d.). FliPer: Classifying TESS pulsating stars. <i>arXiv</i>.
    <a href="https://doi.org/10.48550/arXiv.1811.12140">https://doi.org/10.48550/arXiv.1811.12140</a>'
  chicago: 'Bugnet, Lisa Annabelle, R. A. García, G. R. Davies, S. Mathur, O. J. Hall,
    and B. M. Rendle. “FliPer: Classifying TESS Pulsating Stars.” <i>ArXiv</i>, n.d.
    <a href="https://doi.org/10.48550/arXiv.1811.12140">https://doi.org/10.48550/arXiv.1811.12140</a>.'
  ieee: 'L. A. Bugnet, R. A. García, G. R. Davies, S. Mathur, O. J. Hall, and B. M.
    Rendle, “FliPer: Classifying TESS pulsating stars,” <i>arXiv</i>. .'
  ista: 'Bugnet LA, García RA, Davies GR, Mathur S, Hall OJ, Rendle BM. FliPer: Classifying
    TESS pulsating stars. arXiv, 1811.12140.'
  mla: 'Bugnet, Lisa Annabelle, et al. “FliPer: Classifying TESS Pulsating Stars.”
    <i>ArXiv</i>, 1811.12140, doi:<a href="https://doi.org/10.48550/arXiv.1811.12140">10.48550/arXiv.1811.12140</a>.'
  short: L.A. Bugnet, R.A. García, G.R. Davies, S. Mathur, O.J. Hall, B.M. Rendle,
    ArXiv (n.d.).
date_created: 2022-07-21T07:05:23Z
date_published: 2018-11-29T00:00:00Z
date_updated: 2022-08-22T08:41:55Z
day: '29'
doi: 10.48550/arXiv.1811.12140
extern: '1'
external_id:
  arxiv:
  - '1811.12140'
keyword:
- asteroseismology - methods
- data analysis - stars
- oscillations
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: ' https://doi.org/10.48550/arXiv.1811.12140'
month: '11'
oa: 1
oa_version: Preprint
publication: arXiv
publication_status: submitted
status: public
title: 'FliPer: Classifying TESS pulsating stars'
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2018'
...
---
_id: '11633'
abstract:
- lang: eng
  text: Our understanding of stars through asteroseismic data analysis is limited
    by our ability to take advantage of the huge amount of observed stars provided
    by space missions such as CoRoT, Kepler , K2, and soon TESS and PLATO. Global
    seismic pipelines provide global stellar parameters such as mass and radius using
    the mean seismic parameters, as well as the effective temperature. These pipelines
    are commonly used automatically on thousands of stars observed by K2 for 3 months
    (and soon TESS for at least ∼ 1 month). However, pipelines are not immune from
    misidentifying noise peaks and stellar oscillations. Therefore, new validation
    techniques are required to assess the quality of these results. We present a new
    metric called FliPer (Flicker in Power), which takes into account the average
    variability at all measured time scales. The proper calibration of FliPer enables
    us to obtain good estimations of global stellar parameters such as surface gravity
    that are robust against the influence of noise peaks and hence are an excellent
    way to find faults in asteroseismic pipelines.
article_number: '1711.02890'
article_processing_charge: No
arxiv: 1
author:
- first_name: Lisa Annabelle
  full_name: Bugnet, Lisa Annabelle
  id: d9edb345-f866-11ec-9b37-d119b5234501
  last_name: Bugnet
  orcid: 0000-0003-0142-4000
- first_name: R. A.
  full_name: Garcia, R. A.
  last_name: Garcia
- first_name: G. R.
  full_name: Davies, G. R.
  last_name: Davies
- first_name: S.
  full_name: Mathur, S.
  last_name: Mathur
- first_name: E.
  full_name: Corsaro, E.
  last_name: Corsaro
citation:
  ama: 'Bugnet LA, Garcia RA, Davies GR, Mathur S, Corsaro E. FliPer: Checking the
    reliability of global seismic parameters from automatic pipelines. <i>arXiv</i>.
    doi:<a href="https://doi.org/10.48550/arXiv.1711.02890">10.48550/arXiv.1711.02890</a>'
  apa: 'Bugnet, L. A., Garcia, R. A., Davies, G. R., Mathur, S., &#38; Corsaro, E.
    (n.d.). FliPer: Checking the reliability of global seismic parameters from automatic
    pipelines. <i>arXiv</i>. <a href="https://doi.org/10.48550/arXiv.1711.02890">https://doi.org/10.48550/arXiv.1711.02890</a>'
  chicago: 'Bugnet, Lisa Annabelle, R. A. Garcia, G. R. Davies, S. Mathur, and E.
    Corsaro. “FliPer: Checking the Reliability of Global Seismic Parameters from Automatic
    Pipelines.” <i>ArXiv</i>, n.d. <a href="https://doi.org/10.48550/arXiv.1711.02890">https://doi.org/10.48550/arXiv.1711.02890</a>.'
  ieee: 'L. A. Bugnet, R. A. Garcia, G. R. Davies, S. Mathur, and E. Corsaro, “FliPer:
    Checking the reliability of global seismic parameters from automatic pipelines,”
    <i>arXiv</i>. .'
  ista: 'Bugnet LA, Garcia RA, Davies GR, Mathur S, Corsaro E. FliPer: Checking the
    reliability of global seismic parameters from automatic pipelines. arXiv, 1711.02890.'
  mla: 'Bugnet, Lisa Annabelle, et al. “FliPer: Checking the Reliability of Global
    Seismic Parameters from Automatic Pipelines.” <i>ArXiv</i>, 1711.02890, doi:<a
    href="https://doi.org/10.48550/arXiv.1711.02890">10.48550/arXiv.1711.02890</a>.'
  short: L.A. Bugnet, R.A. Garcia, G.R. Davies, S. Mathur, E. Corsaro, ArXiv (n.d.).
date_created: 2022-07-21T07:13:13Z
date_published: 2017-11-08T00:00:00Z
date_updated: 2022-08-22T08:45:42Z
day: '08'
doi: 10.48550/arXiv.1711.02890
extern: '1'
external_id:
  arxiv:
  - '1711.02890'
keyword:
- asteroseismology - methods
- data analysis - stars
- oscillations
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.1711.02890
month: '11'
oa: 1
oa_version: Preprint
publication: arXiv
publication_status: submitted
status: public
title: 'FliPer: Checking the reliability of global seismic parameters from automatic
  pipelines'
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2017'
...