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Black Hole

Lensing of space time around a black hole. At Oxford we study black holes observationally and theoretically on all size and time scales - it is some of our core work.

Credit: ALAIN RIAZUELO, IAP/UPMC/CNRS. CLICK HERE TO VIEW MORE IMAGES.

Dr Jake Taylor (he/him)

Glasstone Fellow

Research theme

  • Astronomy and astrophysics
  • Exoplanets and planetary physics

Sub department

  • Astrophysics

Research groups

  • Exoplanet atmospheres
  • Exoplanets and Stellar Physics
jake.taylor@physics.ox.ac.uk
Denys Wilkinson Building, room 463
Personal website
  • About
  • Prizes, awards and recognition
  • Publications

Original Research by Young Twinkle Students (ORBYTS): ephemeris refinement of transiting exoplanets

Monthly Notices of the Royal Astronomical Society Oxford University Press (OUP) 504:4 (2021) 5671-5684

Authors:

Billy Edwards, Quentin Changeat, Kai Hou Yip, Angelos Tsiaras, Jake Taylor, Bilal Akhtar, Josef AlDaghir, Pranup Bhattarai, Tushar Bhudia, Aashish Chapagai, Michael Huang, Danyaal Kabir, Vieran Khag, Summyyah Khaliq, Kush Khatri, Jaidev Kneth, Manisha Kothari, Ibrahim Najmudin, Lobanaa Panchalingam, Manthan Patel, Luxshan Premachandran, Adam Qayyum, Prasen Rana, Zain Shaikh, Sheryar Syed, Harnam Theti, Mahmoud Zaidani, Manasvee Saraf, Damien de Mijolla, Hamish Caines, Anatasia Kokori, Marco Rocchetto, Matthias Mallonn, Matthieu Bachschmidt, Josep M Bosch, Marc Bretton, Philippe Chatelain, Marc Deldem, Romina Di Sisto, Phil Evans, Eduardo Fernández-Lajús, Pere Guerra, Ferran Grau Horta, Wonseok Kang, Taewoo Kim, Arnaud Leroy, František Lomoz, Juan Lozano de Haro, Veli-Pekka Hentunen, Yves Jongen, David Molina, Romain Montaigut, Ramon Naves, Manfred Raetz, Thomas Sauer, Americo Watkins, Anaël Wünsche, Martin Zibar, William Dunn, Marcell Tessenyi, Giorgio Savini, Giovanna Tinetti, Jonathan Tennyson
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Water Ice Cloud Variability and Multi-epoch Transmission Spectra of TRAPPIST-1e

The Astrophysical Journal Letters American Astronomical Society 911:2 (2021) l30

Authors:

EM May, J Taylor, TD Komacek, MR Line, V Parmentier
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ARES I: WASP-76 b, A Tale of Two HST Spectra* * ARES: Ariel Retrieval of Exoplanets School.

The Astronomical Journal American Astronomical Society 160:1 (2020) 8

Authors:

Billy Edwards, Quentin Changeat, Robin Baeyens, Angelos Tsiaras, Ahmed Al-Refaie, Jake Taylor, Kai Hou Yip, Michelle Fabienne Bieger, Doriann Blain, Amélie Gressier, Gloria Guilluy, Adam Yassin Jaziri, Flavien Kiefer, Darius Modirrousta-Galian, Mario Morvan, Lorenzo V Mugnai, William Pluriel, Mathilde Poveda, Nour Skaf, Niall Whiteford, Sam Wright, Tiziano Zingales, Benjamin Charnay, Pierre Drossart, Jérémy Leconte, Olivia Venot, Ingo Waldmann, Jean-Philippe Beaulieu
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Understanding and mitigating biases when studying inhomogeneous emission spectra with JWST

Monthly Notices of the Royal Astronomical Society Royal Astronomical Society 493:3 (2020) 4342-4354,

Authors:

Jake Taylor, Vivien Parmentier, Patrick Irwin, Suzanne Aigrain, Graham Lee, Joshua Krissansen-Totton

Abstract:

Exoplanet emission spectra are often modelled assuming that the hemisphere observed is well represented by a horizontally homogenized atmosphere. However, this approximation will likely fail for planets with a large temperature contrast in the James Webb Space Telescope (JWST) era, potentially leading to erroneous interpretations of spectra. We first develop an analytic formulation to quantify the signal-to-noise ratio and wavelength coverage necessary to disentangle temperature inhomogeneities from a hemispherically averaged spectrum. We find that for a given signal-to-noise ratio, observations at shorter wavelengths are better at detecting the presence of inhomogeneities. We then determine why the presence of an inhomogeneous thermal structure can lead to spurious molecular detections when assuming a fully homogenized planet in the retrieval process. Finally, we quantify more precisely the potential biases by modelling a suite of hot Jupiter spectra, varying the spatial contributions of a hot and a cold region, as would be observed by the different instruments of JWST/NIRSpec. We then retrieve the abundances and temperature profiles from the synthetic observations. We find that in most cases, assuming a homogeneous thermal structure when retrieving the atmospheric chemistry leads to biased results, and spurious molecular detection. Explicitly modelling the data using two profiles avoids these biases, and is statistically supported provided the wavelength coverage is wide enough, and crucially also spanning shorter wavelengths. For the high contrast used here, a single profile with a dilution factor performs as well as the two-profile case, with only one additional parameter compared to the 1D approach.
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Towards the analysis of JWST exoplanet spectra: the effective temperature in the context of direct imaging

Monthly Notices of the Royal Astronomical Society Oxford University Press 490:2 (2019) 2086-2090

Authors:

J-L Baudino, Jake Taylor, Patrick Irwin, R Garland

Abstract:

The current sparse wavelength range coverage of exoplanet direct imaging observations, and the fact that models are defined using a finite wavelength range, lead both to uncertainties on effective temperature determination. We study these effects using blackbodies and atmospheric models and we detail how to infer this parameter. Through highlighting the key wavelength coverage that allows for a more accurate representation of the effective temperature, our analysis can be used to mitigate or manage extra uncertainties being added in the analysis from the models. We find that the wavelength range coverage will soon no longer be a problem. An effective temperature computed by integrating the spectroscopic observations of the James Webb Space Telescope will give uncertainties similar to, or better than, the current state–of–the–art, which is to fit models to data. Accurately calculating the effective temperature will help to improve current modelling approaches. Obtaining an independent and precise estimation of this crucial parameter will help the benchmarking process to identify the best practice to model exoplanet atmospheres.
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