304 citations · 1.6k across the 24 of their papers we have counts for
29 papers
Low-cost neural summaries for cosmological inference: an ensemble of convolutional neural networks trained on approximate simulations
Iñigo Sáez-Casares, Davide Bianchi, Matteo Calabrese +1
Machine learning can build near-optimal summary statistics for extracting cosmological information from the large-scale structure of the Universe. Training them, however, requires…
Searching for hot water world candidates with CHEOPS: II. A low-density super-Earth orbiting the K dwarf TOI-2211
J. A. Egger, P. Cortés-Zuleta, D. Kubyshkina +98
Small exoplanets on close-in orbits are exposed to high levels of stellar irradiation, which can effectively remove low-mass primordial H/He envelopes through atmospheric escape. U…
TOI-6981 b: a transiting sub-Neptune at the water ice line
Madison G. Scott, Amaury H. M. J Triaud, Emily K. Pass +42
We present TOI-6981 b, a cold (Teq= 170.0 +/-4.5 K, assuming an Earth-like albedo) sub-Neptune (Rb=2.40+/-0.10 R_oplus) on a 60.8 day orbit around around its M4-type host star (R*=…
NGTS clusters survey - VII. An Enigmatic Short-Period Circumsecondary Disk Candidate in Orion
Niamh Mallaghan, Ernst J. W. de Mooij, Christopher A. Watson +31
Young stellar systems provide key insights into the processes governing star/planet formation, often exhibiting complex and evolving photometric variability. In this paper, we pres…
Atmospheric Reconnaissance of TRAPPIST-1 f with JWST NIRISS SOSS: No Evidence for the Transit Light Source Effect
Olivia Lim, René Doyon, Ryan J. MacDonald +25
In just over three years of operation, JWST has observed all seven planets of the TRAPPIST-1 system. The two innermost planets were found to have little to no atmosphere, barring t…
Assessing the Impact of High-Resolution Imaging on Statistical Validation of TESS Planet Candidates
Michael Collier, Steven Giacalone, Brian Derfer +38
High-resolution imaging is widely used to constrain false-positive scenarios in exoplanet validation, but it is a finite follow-up resource that reaches only a subset of candidates…