Trending Research
Euclid preparation. Measuring detailed galaxy morphologies for Euclid with Machine Learning
mwalmsley/zoobot
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We investigate the application of deep learning to predict the detailed morphologies of galaxies in Euclid using Zoobot a convolutional neural network pretrained with 450000 galaxies from the Galaxy Zoo project.
Astrophysics of Galaxies
Predicting Coronal Mass Ejections Using Machine Learning Methods
We then use machine-learning algorithms to [1] determine which features distinguish these two populations, and [2] forecast whether an active region that produces an M- or X-class flare will also produce a CME.
Solar and Stellar Astrophysics
Cautionary tales on heating-rate prescriptions in kilonovae
Here, we introduce new semi-analytical models for kilonovae with better heating rate prescriptions valid for the full parameter space of kilonova velocities and electron fractions.
High Energy Astrophysical Phenomena
Improved Constraints on Cosmic Birefringence from the WMAP and Planck Cosmic Microwave Background Polarization Data
In this paper, we present new measurements of cosmic birefringence from a joint analysis of polarization data from two space missions, Planck and WMAP.
Cosmology and Nongalactic Astrophysics
Eridanus II: A Fossil from Reionization with an Off-Center Star Cluster
We determine the star formation history of Eri II and measure the structure of the galaxy and its star cluster.
Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics
FitsMap: A Simple, Lightweight Tool For Displaying Interactive Astronomical Image and Catalog Data
As the scale of astronomical image and catalog data continues to grow, visualizing the data becomes increasingly difficult.
Instrumentation and Methods for Astrophysics
Stochastic Modelling of Star Formation Histories III. Constraints from Physically-Motivated Gaussian Processes
We use the connection between the PSD and auto-covariance function (ACF) for general stochastic processes to reformulate this model as an auto-covariance function, which we use to model variability in galaxy star formation histories (SFHs) using physically-motivated Gaussian Processes in log SFR space.
Astrophysics of Galaxies
ripple: Differentiable and Hardware-Accelerated Waveforms for Gravitational Wave Data Analysis
Firstly, we demonstrate that complete waveforms which cover the inspiral, merger, and ringdown of binary black holes (i. e. IMRPhenomD) can be written in jax and demonstrate that the serial evaluation speed of the waveform (and its derivative) is similar to the lalsuite implementation in C. Moreover, jax allows for GPU-accelerated waveform calls which can be over an order of magnitude faster than serial evaluation on a CPU.
Instrumentation and Methods for Astrophysics High Energy Astrophysical Phenomena General Relativity and Quantum Cosmology
S 308 and other X-ray emitting bubbles around Wolf-Rayet stars
We did not detect any of the 22 optical/IR emitting bubbles in X-rays, but using our best fit model, we estimated the 3$\sigma$ flux upper limits for each bubble.
High Energy Astrophysical Phenomena
An Improved Method for Coupling Hydrodynamics with Astrophysical Reaction Networks
Reacting astrophysical flows can be challenging to model because of the difficulty in accurately coupling hydrodynamics and reactions.
Instrumentation and Methods for Astrophysics Nuclear Theory
