modeling Archives - Astrobiology

Screenshot of the simba graphical user interface (GUI). The GUI consists of the input panel (left), visualisation panel (center), and control panel (right). The GUI enables simple analysis of chemical abundances and reaction rates, and provides a wide range of options for plot customisation. Publication-quality images and tabulated data can be exported. astro-ph.IM

AI - Data - Apps - Cybernetics, Astrochemistry, Atmospheres, Climate, Weather, Biochemistry & Organic Chemistry, Biophysics, Biosignatures & Paleobiology, Status Report

SIMBA: A Python-based Single-point Astrochemical Solver And Analysis Tool

by Keith CowingSeptember 22, 2025September 22, 2025

Determining molecular abundances in astrophysical environments is crucial for interpreting observational data and constraining physical conditions in these regions. Chemical modelling tools are essential for simulating the complex processes that […]

Average Grad-CAM results for both study areas against the backdrop of the topography Satellite Navigation -- Satellite Navigation

AI - Data - Apps - Cybernetics, Atmospheres, Climate, Weather, Exoplanets, -moons, -comets, Status Report

AI-enhanced Planetary Meteorology: Deep Learning Reveals Hidden Details In Earth’s Atmosphere

by Keith CowingSeptember 20, 2025September 20, 2025

Predicting local weather extremes remains one of the greatest hurdles in meteorology, which requires high-resolution, reliable humidity data. A new study unveils a breakthrough: the first high-resolution Global Navigation Satellite […]

Example of the uniform encoding grid of N 2 rectangles (with N = 30) used to encode the planets over the logarithm of the mass and semi-major axis of the planets. For each rectangle, we attribute a unique Unicode character which we use to encode a planet which is lying inside. In blue is shown the density distribution for the training population of 25000 planetary systems used to train the model. The levels correspond to fractions of 0.0001, 0.001, 0.01, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9 and 1. Note that if two planets (from the same system) are located in the same rectangle, they will be encoded as two identical characters. -- astro-ph.EP

AI - Data - Apps - Cybernetics, Exoplanets, -moons, -comets, Status Report

A Transformer-based Generative Model For Planetary Systems

by Keith CowingSeptember 18, 2025September 18, 2025

Numerical calculations of planetary system formation are very demanding in terms of computing power.

Pictorial representation of how QELM on classical data works. Classical data are encoded in a physical system from which we collect a set of measurements. The outcomes undergo a linear post-processing which maps the outcomes of the reservoir to the output of task. -- astro-ph.IM

Atmospheres, Climate, Weather, Biogeochemical Cycles & Geobiology, Exoplanets, -moons, -comets, Status Report

Exoplanetary Atmospheres Retrieval Via A Quantum Extreme Learning Machine

by Keith CowingSeptember 5, 2025September 5, 2025

The study of exoplanetary atmospheres traditionally relies on forward models to analytically compute the spectrum of an exoplanet by fine-tuning numerous chemical and physical parameters.

Astrochemical reaction network.-- Intelligent Computing

AI - Data - Apps - Cybernetics, Astrochemistry, Biochemistry & Organic Chemistry, Biophysics, Biosignatures & Paleobiology, Interstellar, Press Release

Pioneering AI Approach Enhances Prediction Of Complex Astrochemical Reactions

by Keith CowingAugust 5, 2025August 5, 2025

Decoding cosmic evolution depends on accurately predicting the complex chemical reactions in the harsh environment of space. Traditional methods for such predictions rely heavily on costly laboratory experiments or expert […]

Examples of images in the Cassini ISS data set taken with the Narrow Angle Camera (NAC) CLR‐CB3 filters: upper two rows—no clouds. Lower two rows— with clouds. Note varying viewing angles, surface sections, and distances for each capture. Image names as listed in NASA planetary data system (PDS) provided (JPL et al., 2017). -- astro-ph.IM

AI - Data - Apps - Cybernetics, Atmospheres, Climate, Weather, Imaging & Spectroscopy, Status Report, Titan

Rapid Automated Mapping of Clouds on Titan With Instance Segmentation

by Keith CowingJanuary 9, 2025January 9, 2025

Despite widespread adoption of deep learning models to address a variety of computer vision tasks, planetary science has yet to see extensive utilization of such tools to address its unique […]

Validation and low-cost schemes’ performance on key and major molecules. The plots illustrate the performance of our method on key molecules for HD 209458b (a) and HD 189733b (b). Left: Molar fractions of key molecules as a function of pressure in the atmosphere. The full V20 model is represented by a solid line, DARWEN’s validation scheme by a dashed-dotted line, low-cost schemes by a dashed line, and the reduced scheme (R20) by a dotted line. Right: Maximal percentage changes in the molar fractions of the key molecules compared to the full model. The full model’s line is not shown because it serves as the reference model. Lines close to zero indicate that the predictions are nearly identical to those of the full model for that molecule. We only show changes bigger than 1%. -- astro-ph.EP

AI - Data - Apps - Cybernetics, Astrochemistry, Astronomy & Telescopes, Atmospheres, Climate, Weather, Exoplanets, -moons, -comets, Status Report

DARWEN: Data-driven Algorithm for Reduction of Wide Exoplanetary Networks

by Keith CowingDecember 11, 2024December 11, 2024

Exoplanet atmospheric modeling is advancing from chemically diverse one-dimensional (1D) models to three-dimensional (3D) global circulation models (GCMs), which are crucial for interpreting observations from facilities like the James Webb […]

The cloud structure and transmission spectrum of a sub-Neptune planet with physical properties similar to GJ 1214 b. The condensate species considered here is NaCl, KCl and ZnS. In the left panel, the meaning of each line is the same as Figure 8. The cloud is dominated by Na2S (upper part) and NaCl (cloud bottom). The right panel shows the synthetic spectrum and the blue line shows one set of parameters that leads to flat spectrum in 1 to 2 µm range, consistent with observation (Kreidberg et al. 2014). -- astro-ph.EP

AI - Data - Apps - Cybernetics, Atmospheres, Climate, Weather, Biogeochemical Cycles & Geobiology, Biosignatures & Paleobiology, Exoplanets, -moons, -comets, Habitable Zones, Imaging & Spectroscopy, Status Report

ExoLyn: A Golden Mean Approach To Multi-species Cloud Modelling In Atmospheric Retrieval

by Keith CowingOctober 1, 2024October 1, 2024

Context. Clouds are ubiquitous in exoplanets’ atmospheres and play an important role in setting the opacity and chemical inventory of the atmosphere. Understanding clouds is a critical step in interpreting […]

The left two panels show the distribution of surface average temperature for the ExoCAM (top) and ExoPlaSim (bottom) model calculations of SAMOSA case 4 (with 1200 W m−2 and 2.34 bar). The right panel shows the theoretical variogram curves for both models. The warmer substellar point is one contributing factor to the ExoCAM variogram showing greater dissimilarities at all spatial separations when compared to ExoPlaSim. -- astro-ph.EP

Atmospheres, Climate, Weather, Biogeochemical Cycles & Geobiology, Exoplanets, -moons, -comets, Status Report

Interpolation and Synthesis of Sparse Samples in Exoplanet Atmospheric Modeling

by Keith CowingMay 24, 2024

This paper highlights methods from geostatistics that are relevant to the interpretation, intercomparison, and synthesis of atmospheric model data, with a specific application to exoplanet atmospheric modeling. Climate models are […]

A Typical Habitable Zone

AI - Data - Apps - Cybernetics, Astronomy & Telescopes, Biosignatures & Paleobiology, Habitable Zones, Imaging & Spectroscopy, Status Report

Rebuilding The Habitable Zone From The Bottom Up With Computational Zones

by Keith CowingMarch 28, 2023March 28, 2023

Computation, if treated as a set of physical processes that act on information represented by states of matter, encompasses biological systems, digital systems, and other constructs, and may be a […]