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Found 15 papers, 12 papers with code
Salamandra Technical Report
This work introduces Salamandra, a suite of open-source decoder-only large language models available in three different sizes: 2, 7, and 40 billion parameters.
Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge
Recent research has explored methods for updating and modifying factual knowledge in large language models, often focusing on specific multi-layer perceptron blocks.
SPOCK 2.0: Update to the FeatureClassifier in the Stability of Planetary Orbital Configurations Klassifier
The Stability of Planetary Orbital Configurations Klassifier (SPOCK) package collects machine learning models for predicting the stability and collisional evolution of compact planetary systems.
Accelerating Giant Impact Simulations with Machine Learning
By combining with a model for predicting long-term stability, we create an ML-based giant impact emulator, which can predict the outcomes of giant impact simulations with reasonable accuracy and a speedup of up to four orders of magnitude.
A Bayesian neural network predicts the dissolution of compact planetary systems
Our model, trained directly from short N-body time series of raw orbital elements, is more than two orders of magnitude more accurate at predicting instability times than analytical estimators, while also reducing the bias of existing machine learning algorithms by nearly a factor of three.
Predicting the long-term stability of compact multiplanet systems
Our Stability of Planetary Orbital Configurations Klassifier (SPOCK) predicts stability using physically motivated summary statistics measured in integrations of the first $10^4$ orbits, thus achieving speed-ups of up to $10^5$ over full simulations.
Earth and Planetary Astrophysics
Direct Imaging of Irregular Satellite Disks in Scattered Light
The thermal emission from such lower-mass planets is negligible at optical and near-infrared wavelengths, leaving only their weak signals in reflected light.
Earth and Planetary Astrophysics
REBOUNDx: A Library for Adding Conservative and Dissipative Forces to Otherwise Symplectic N-body Integrations
We release REBOUNDx, an open-source C library for incorporating additional effects into REBOUND N-body integrations, together with a convenient Python wrapper.
Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics
High order symplectic integrators for planetary dynamics and their implementation in REBOUND
Since some of these methods are harder to implement and not as readily available to astronomers compared to the standard WH method, they are not used as often.
Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics Computational Physics
Hybrid Symplectic Integrators for Planetary Dynamics
A hybrid integrator achieves high accuracy during close encounters by using a high order integration scheme for the duration of the encounter while otherwise using a standard 2nd order Wisdom-Holman scheme, thereby optimizing both speed and accuracy.
Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics Dynamical Systems
Lunar Crater Identification via Deep Learning
Crater counting on the Moon and other bodies is crucial to constrain the dynamical history of the Solar System.
Earth and Planetary Astrophysics
JANUS: A bit-wise reversible integrator for N-body dynamics
We discuss the implementation ofJANUS and present tests of its accuracy and speed by performing and analyzing long-term integrations of the Solar System.
Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics Earth and Planetary Astrophysics
A new paradigm for reproducing and analyzing N-body simulations of planetary systems
The reproducibility of experiments is one of the main principles of the scientific method.
Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics
Second-order variational equations for N-body simulations
First-order variational equations are widely used in N-body simulations to study how nearby trajectories diverge from one another.
Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics Classical Analysis and ODEs Dynamical Systems
WHFast: A fast and unbiased implementation of a symplectic Wisdom-Holman integrator for long term gravitational simulations
We implement symplectic correctors up to order eleven that significantly reduce the energy error.
Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics Numerical Analysis Chaotic Dynamics Computational Physics
