PyMC is a probabilistic programming library for Python that provides tools for constructing
and fitting Bayesian models. It offers an intuitive, readable syntax that is close to the natural …

Transmission spectroscopy,–of exoplanets has revealed signatures of water vapour,
aerosols and alkali metals in a few dozen exoplanet atmospheres,. However, these previous …

Abstract The Astropy Project supports and fosters the development of open-source and
openly developed Python packages that provide commonly needed functionality to the …

The Python programming language is a high-level, interpreted (as opposed to compiled)
programming language that has become an industry standard across many computational …

Measuring the metallicity and carbon-to-oxygen (C/O) ratio in exoplanet atmospheres is a
fundamental step towards constraining the dominant chemical processes at work and, if in …

Observations of transiting gas giant exoplanets have revealed a pervasive depletion of
methane,,–, which has only recently been identified atmospherically,. The depletion is …

We describe the discovery of a solar neighborhood (d= 468 pc) binary system with a main-
sequence sunlike star and a massive noninteracting black hole candidate. The spectral …

We introduce a novel approach to boost the efficiency of the importance nested sampling
(INS) technique for Bayesian posterior and evidence estimation using deep learning. Unlike …

Hot Jupiters are among the best-studied exoplanets, but it is still poorly understood how their
chemical composition and cloud properties vary with longitude. Theoretical models predict …

The two most successful methods for exoplanet detection rely on the detection of planetary
signals in photometric and radial velocity time-series. This depends on numerical …