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20042026
most citedThe GALAH Survey: Scientific Motivation

839 citations · 8.3k across the 213 of their papers we have counts for

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25 papers · 1 filter

astro-ph.SR2026

NGTS clusters survey - VI: Stellar rotation in seven young open clusters within the PLATO LOPS2 field

Alexander Hughes, Edward Gillen, Matthew Battley +18

We present NGTS measurements of rotation period distributions for FGKM stars in seven young open clusters spanning ~40--700 Myr within PLATO's first long-stare LOPS2 field. We meas…

astro-ph.SR2025★ 1 cited

NGTS-EB-8: A double-lined eclipsing M+M binary discovered by citizen scientists

Sean M. O'Brien, Megan E. Schwamb, Christopher A. Watson +54

We report the identification and characterization of a new binary system composed of two near-equal mass M-dwarfs. The binary NGTS-EB-8 was identified as a planet candidate in data…

astro-ph.SR2025★ 1 cited

21 years of Astronomy at Warwick: celebrating the legacy of Prof. Tom Marsh

Ingrid Pelisoli, Boris Gänsicke, Keith Horne +7

Between the 4th and 6th of September 2024, the Astronomy & Astrophysics group at the University of Warwick held a meeting to celebrate 21 years of astronomy at Warwick and the scie…

astro-ph.SR2025★ 5 cited

NGTS-EB-7, an eccentric, long-period, low-mass eclipsing binary

Toby Rodel, Christopher. A. Watson, Solène Ulmer-Moll +35

Despite being the most common types of stars in the Galaxy, the physical properties of late M dwarfs are often poorly constrained. A trend of radius inflation compared to evolution…

astro-ph.SR2024

The TESS SPOC FFI Target Sample Explored with Gaia

Lauren Doyle, David J. Armstrong, Daniel Bayliss +2

The TESS mission has provided the community with high-precision times series photometry for 2.8 million stars across the entire sky via the Full Frame Image (FFI) light curve…

astro-ph.SR2022★ 11 cited

Periodic stellar variability from almost a million NGTS light curves

Joshua T. Briegal, Edward Gillen, Didier Queloz +25

We analyse 829,481 stars from the Next Generation Transit Survey (NGTS) to extract variability periods. We utilise a generalisation of the autocorrelation function (the G-ACF), whi…