Trending Research
zeus: A Python implementation of Ensemble Slice Sampling for efficient Bayesian parameter inference
We introduce zeus, a well-tested Python implementation of the Ensemble Slice Sampling (ESS) method for Bayesian parameter inference.
Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics Earth and Planetary Astrophysics Computational Physics
A Fast, 2D Gaussian Process Method Based on Celerite: Applications to Transiting Exoplanet Discovery and Characterization
Gaussian processes (GPs) are commonly used as a model of stochastic variability in astrophysical time series.
Instrumentation and Methods for Astrophysics Earth and Planetary Astrophysics Solar and Stellar Astrophysics Data Analysis, Statistics and Probability
emcee: The MCMC Hammer
The algorithm behind emcee has several advantages over traditional MCMC sampling methods and it has excellent performance as measured by the autocorrelation time (or function calls per independent sample).
Instrumentation and Methods for Astrophysics Computational Physics Computation
Revisiting high-order Taylor methods for astrodynamics and celestial mechanics
We present heyoka, a new, modern and general-purpose implementation of Taylor's integration method for the numerical solution of ordinary differential equations.
Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics Computational Engineering, Finance, and Science Computational Physics
The impact of spectroscopic incompleteness in direct calibration of redshift distributions for weak lensing surveys
We do so by simulating the process of assembling a spectroscopic sample (including observer-assigned confidence flags) and highlight the impacts of spectroscopic target selection and redshift failures.
Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics
Self-supervised Anomaly Detection for Narrowband SETI
PetchMa/DeepSeti
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The proposed approach is not meant to replace current narrowband searches but to demonstrate the potential to generalize to other signal types.
Instrumentation and Methods for Astrophysics
Radio frequency interference mitigation using deep convolutional neural networks
jakeret/unet
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We employ a special type of Convolutional Neural Network, the U-Net, that enables the classification of clean signal and RFI signatures in 2D time-ordered data acquired from a radio telescope.
Instrumentation and Methods for Astrophysics
Revisiting Lambert's Problem
The orbital boundary value problem, also known as Lambert Problem, is revisited.
Earth and Planetary Astrophysics
Introduction to astroML: Machine Learning for Astrophysics
Astronomy and astrophysics are witnessing dramatic increases in data volume as detectors, telescopes and computers become ever more powerful.
Instrumentation and Methods for Astrophysics
A proposal for community driven and decentralized astronomical databases and the Open Exoplanet Catalogue
It is the only catalogue that can correctly represent the orbital structure of planets in arbitrary binary, triple and quadruple star systems, as well as orphan planets.
Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics Computational Physics Data Analysis, Statistics and Probability