ORCID Profile
0000-0003-1453-0574
Current Organisations
University of Oxford
,
University of Oxford All Souls College
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Publisher: American Astronomical Society
Date: 17-09-2019
Publisher: Springer Science and Business Media LLC
Date: 12-2003
DOI: 10.1007/BF03216799
Publisher: Oxford University Press (OUP)
Date: 09-06-2017
Publisher: EDP Sciences
Date: 09-2010
Publisher: EDP Sciences
Date: 09-2011
Publisher: American Astronomical Society
Date: 04-10-2019
Publisher: Springer Science and Business Media LLC
Date: 06-11-2011
Publisher: Oxford University Press (OUP)
Date: 11-08-2017
Publisher: Oxford University Press (OUP)
Date: 21-10-2013
Publisher: EDP Sciences
Date: 02-2014
Publisher: EDP Sciences
Date: 02-12-2010
Publisher: EDP Sciences
Date: 11-2010
Publisher: EDP Sciences
Date: 23-11-2010
Publisher: IOP Publishing
Date: 04-2014
DOI: 10.1086/676406
Publisher: EDP Sciences
Date: 09-2010
Publisher: EDP Sciences
Date: 2012
Publisher: American Astronomical Society
Date: 15-03-2022
Abstract: Measured spectral shifts due to intrinsic stellar variability (e.g., pulsations, granulation) and activity (e.g., spots, plages) are the largest source of error for extreme-precision radial-velocity (EPRV) exoplanet detection. Several methods are designed to disentangle stellar signals from true center-of-mass shifts due to planets. The Extreme-precision Spectrograph (EXPRES) Stellar Signals Project (ESSP) presents a self-consistent comparison of 22 different methods tested on the same extreme-precision spectroscopic data from EXPRES. Methods derived new activity indicators, constructed models for mapping an indicator to the needed radial-velocity (RV) correction, or separated out shape- and shift-driven RV components. Since no ground truth is known when using real data, relative method performance is assessed using the total and nightly scatter of returned RVs and agreement between the results of different methods. Nearly all submitted methods return a lower RV rms than classic linear decorrelation, but no method is yet consistently reducing the RV rms to sub-meter-per-second levels. There is a concerning lack of agreement between the RVs returned by different methods. These results suggest that continued progress in this field necessitates increased interpretability of methods, high-cadence data to capture stellar signals at all timescales, and continued tests like the ESSP using consistent data sets with more advanced metrics for method performance. Future comparisons should make use of various well-characterized data sets—such as solar data or data with known injected planetary and/or stellar signals—to better understand method performance and whether planetary signals are preserved.
Publisher: American Astronomical Society
Date: 24-03-2017
Abstract: We report the discovery of a repeating photometric signal from a low-mass member of the Praesepe open cluster that we interpret as a Neptune-sized transiting planet. The star is JS 183 (HSHJ 163, EPIC 211916756), with T eff = 3325 ± 100 K, M * = 0.44 ± 0.04 M ⊙ , R * = 0.44 ± 0.03 R ⊙ , and . The planet has an orbital period of 10.134588 days and a radius of R P = 0.32 ± 0.02 R J . Since the star is faint at V = 16.5 and J = 13.3, we are unable to obtain a measured radial velocity orbit, but we can constrain the companion mass to below about 1.7 M J , and thus well below the planetary boundary. JS 183b (since designated as K2-95b) is the second transiting planet found with K2 that resides in a several-hundred-megayear open cluster both planets orbit mid-M dwarf stars and are approximately Neptune sized. With a well-determined stellar density from the planetary transit, and with an independently known metallicity from its cluster membership, JS 183 provides a particularly valuable test of stellar models at the fully convective boundary. We find that JS 183 is the lowest-density transit host known at the fully convective boundary, and that its very low density is consistent with current models of stars just above the fully convective boundary but in tension with the models just below the fully convective boundary.
Publisher: Oxford University Press (OUP)
Date: 14-09-2015
Publisher: Springer Science and Business Media LLC
Date: 14-12-2016
DOI: 10.1038/NATURE16068
Abstract: Thousands of transiting exoplanets have been discovered, but spectral analysis of their atmospheres has so far been dominated by a small number of exoplanets and data spanning relatively narrow wavelength ranges (such as 1.1-1.7 micrometres). Recent studies show that some hot-Jupiter exoplanets have much weaker water absorption features in their near-infrared spectra than predicted. The low litude of water signatures could be explained by very low water abundances, which may be a sign that water was depleted in the protoplanetary disk at the planet's formation location, but it is unclear whether this level of depletion can actually occur. Alternatively, these weak signals could be the result of obscuration by clouds or hazes, as found in some optical spectra. Here we report results from a comparative study of ten hot Jupiters covering the wavelength range 0.3-5 micrometres, which allows us to resolve both the optical scattering and infrared molecular absorption spectroscopically. Our results reveal a erse group of hot Jupiters that exhibit a continuum from clear to cloudy atmospheres. We find that the difference between the planetary radius measured at optical and infrared wavelengths is an effective metric for distinguishing different atmosphere types. The difference correlates with the spectral strength of water, so that strong water absorption lines are seen in clear-atmosphere planets and the weakest features are associated with clouds and hazes. This result strongly suggests that primordial water depletion during formation is unlikely and that clouds and hazes are the cause of weaker spectral signatures.
Publisher: EDP Sciences
Date: 07-06-2011
Publisher: American Astronomical Society
Date: 13-03-2014
Publisher: American Astronomical Society
Date: 13-03-2014
Publisher: The Royal Society
Date: 13-02-2013
Abstract: In this paper, we offer a gentle introduction to Gaussian processes for time-series data analysis. The conceptual framework of Bayesian modelling for time-series data is discussed and the foundations of Bayesian non-parametric modelling presented for Gaussian processes . We discuss how domain knowledge influences design of the Gaussian process models and provide case ex les to highlight the approaches.
Publisher: Oxford University Press (OUP)
Date: 08-06-2016
Publisher: EDP Sciences
Date: 03-2010
Publisher: American Astronomical Society
Date: 17-11-2015
Publisher: American Astronomical Society
Date: 11-2019
Publisher: EDP Sciences
Date: 02-2012
Publisher: EDP Sciences
Date: 15-07-2009
Publisher: EDP Sciences
Date: 05-2012
Publisher: EDP Sciences
Date: 07-2013
Publisher: EDP Sciences
Date: 09-2010
Publisher: EDP Sciences
Date: 23-04-2015
Publisher: Oxford University Press (OUP)
Date: 29-11-2013
DOI: 10.1093/MNRAS/STS307
Publisher: EDP Sciences
Date: 08-03-2011
Publisher: Oxford University Press (OUP)
Date: 12-04-2016
DOI: 10.1093/MNRAS/STW706
Publisher: EDP Sciences
Date: 05-2017
Publisher: EDP Sciences
Date: 2012
Publisher: Oxford University Press (OUP)
Date: 28-05-2015
DOI: 10.1093/MNRAS/STV910
Publisher: Oxford University Press (OUP)
Date: 09-02-2018
DOI: 10.1093/MNRAS/STY308
Publisher: EDP Sciences
Date: 28-08-2012
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Start Date: 2008
End Date: 2011
Funder: Science and Technology Facilities Council
View Funded Activity