Periodic stellar variability from almost a million NGTS light curves. Issue 1 (5th April 2022)
- Record Type:
- Journal Article
- Title:
- Periodic stellar variability from almost a million NGTS light curves. Issue 1 (5th April 2022)
- Main Title:
- Periodic stellar variability from almost a million NGTS light curves
- Authors:
- Briegal, Joshua T
Gillen, Edward
Queloz, Didier
Hodgkin, Simon
Acton, Jack S
Anderson, David R
Armstrong, David J
Battley, Matthew P
Bayliss, Daniel
Burleigh, Matthew R
Bryant, Edward M
Casewell, Sarah L
Costes, Jean C
Eigmüller, Philipp
Gill, Samuel
Goad, Michael R
Günther, Maximilian N
Henderson, Beth A
Jackman, James A G
Jenkins, James S
Kreutzer, Lars T
Moyano, Maximiliano
Lendl, Monika
Smith, Gareth D
Tilbrook, Rosanna H
Watson, Christopher A
West, Richard G
Wheatley, Peter J - Abstract:
- ABSTRACT: We analyse 829 481 stars from the Next Generation Transit Survey (NGTS) to extract variability periods. We utilize a generalization of the autocorrelation function (the G-ACF), which applies to irregularly sampled time series data. We extract variability periods for 16 880 stars from late-A through to mid-M spectral types and periods between ∼0.1 and 130 d with no assumed variability model. We find variable signals associated with a number of astrophysical phenomena, including stellar rotation, pulsations, and multiple-star systems. The extracted variability periods are compared with stellar parameters taken from Gaia DR2, which allows us to identify distinct regions of variability in the Hertzsprung–Russell Diagram. We explore a sample of rotational main-sequence objects in period-colour space, in which we observe a dearth of rotation periods between 15 and 25 d. This 'bi-modality' was previously only seen in space-based data. We demonstrate that stars in sub-samples above and below the period gap appear to arise from a stellar population not significantly contaminated by excess multiple systems. We also observe a small population of long-period variable M-dwarfs, which highlight a departure from the predictions made by rotational evolution models fitted to solar-type main-sequence objects. The NGTS data spans a period and spectral type range that links previous rotation studies such as those using data from Kepler, K2, and MEarth.
- Is Part Of:
- Monthly notices of the Royal Astronomical Society. Volume 513:Issue 1(2022)
- Journal:
- Monthly notices of the Royal Astronomical Society
- Issue:
- Volume 513:Issue 1(2022)
- Issue Display:
- Volume 513, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 513
- Issue:
- 1
- Issue Sort Value:
- 2022-0513-0001-0000
- Page Start:
- 420
- Page End:
- 438
- Publication Date:
- 2022-04-05
- Subjects:
- methods: data-analysis -- techniques: photometric -- stars: activity -- Hertzprung–Russell and colour–magnitude diagrams -- stars: rotation -- stars: variables: general
Astronomy -- Periodicals
Periodicals
520.5 - Journal URLs:
- http://mnras.oxfordjournals.org/ ↗
http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1365-2966 ↗
http://www.blackwell-synergy.com/issuelist.asp?journal=mnr ↗
http://www.blackwell-synergy.com/loi/mnr ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/mnras/stac898 ↗
- Languages:
- English
- ISSNs:
- 0035-8711
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5943.000000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21649.xml