All of life encodes information with DNA. While tools for sequencing, synthesis, and editing of genomic code have transformed biological research, intelligently composing new biological systems would also require a […]
We present ExoMiner++, an enhanced deep learning model that builds on the success of ExoMiner to improve transit signal classification in 2-minute TESS data. ExoMiner++ incorporates additional diagnostic inputs, including […]
The Transiting Exoplanet Survey Satellite (TESS) is surveying a large fraction of the sky, generating a vast database of photometric time series data that requires thorough analysis to identify exoplanetary […]
The fast and accurate estimation of planetary mass-loss rates is critical for planet population and evolution modelling.
ArchNEMESIS is an open-source Python package developed for the analysis of remote sensing spectroscopic observations of planetary atmospheres.
Developing algorithms to search through data efficiently is a challenging part of searching for signs of technology beyond our solar system.
This presentation covered the benefits of registering astronomy research software with the Astrophysics Source Code Library (ASCL, https://ascl.net/ ), a free online registry for software used in astronomy research.
![Focal planes produced by ExoSim 2 for the Ariel VISPhot channel using two different PSFs. The focal plane array size is 64 × 64 pixels, oversampled by a factor of 3. Both panels are presented in decibels ([dB]) units to highlight the PSF side lobes. The left panel shows the effective PSF using an Airy function, which is cropped to the 8th zero. The right panel presents the effective PSF using a PAOS-simulated PSF as input, including aberrations and a defocusing of 200 nm root mean square (RMS) on the wavefront. -- astro-ph.IM](https://i0.wp.com/astrobiology.com/wp-content/uploads/2025/01/ExoSim-2-The-New-Exoplanet.png?resize=1200%2C721&ssl=1)
ExoSim 2 is the next generation of the Exoplanet Observation Simulator (ExoSim) tailored for spectro-photometric observations of transiting exoplanets from space, ground, and sub-orbital platforms.
Dataset acquisitions devised specifically for robotic planetary exploration are key for the advancement, evaluation, and validation of novel perception, localization, and navigation methods in representative environments.
The classical picture of our Solar System being the archetypal outcome of planet formation has been rendered obsolete by the astonishing diversity of extrasolar-system architectures. From rare hot-Jupiters to abundant […]
