Asteroids 🪨 that will make a close approach by Earth 🌏 today
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Updated
Dec 18, 2024 - TypeScript
Asteroids 🪨 that will make a close approach by Earth 🌏 today
This version of the OrbFit package contains a modified orbit9 integrator. The integrator has been modified to integrate the spin axis dynamics of small asteroids, due to the YORP effect. At the same time, the Yarkovsky effect is modified according to the dynamics of the spin axis.
The Orbital Debris Ontology (ODO) is an ontology of the orbital debris domain, containing classes for orbital entities and concepts, such as the types of orbital debris.
This is a modified version of the N-body code mercury, by J. E. Chambers, that includes the Yarkovsky and YORP effects for the dynamics of small solar system objects.
Software developed within the D-NEAs project, funded by the Planetary Society STEP Grant 2021
Backend application for detecting Near-Earth Objects using NASA's NeoWs API
Neural network -based thermal excess correction for resolved asteroid spectral radiances in near-infrared
A program for solving the Minor Planet Center uncertainty maps of near Earth objects (NEOs)
Analysis of Near-Earth Asteroids from NASA-JPL Near-Earth Object Dataset to determine if they are Potentially Hazardous or not.
SpaceX-themed dashboard client for NASA's NeoWs API
iNEOD ☄️- A modern and open implementation of Gauss's method for the Initial Orbit Determination of Near-Earth Objects (Minor Planets)
A mini site that lists Asteroids based on their closest approach date to Earth (taken from NASA's NeoWs open API).
Determining what small celestial body has created the dust which disturbed the magnetic field and created an IFE
A NASA API wrapper for Node.js
We are a dedicated team of developers focused on creating an interactive orrery web app that displays Near-Earth Objects (NEOs). Combining expertise in web development, graphic programming, and astronomy, we aim to deliver a visually engaging and educational experience, allowing users to explore real-time movements of space objects.
Predictions for the impact of LSST on NEO Follow-up and strategies for mitigation of this impact - Wagg et al. (2023)
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