Trending Research

Physics of Eclipsing Binaries. V. General Framework for Solving the Inverse Problem

phoebe-project/phoebe2 30 Jun 2020

The inverse problem, obtaining orbital and stellar parameters given observational data, is more complicated and computationally expensive as it requires generating a large set of forward-models to determine which set of parameters and uncertainties best represent the available observational data.

Solar and Stellar Astrophysics Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics

76
0.06 stars / hour

Relativistic tidal separation of binary stars by supermassive black holes

hannorein/rebound 25 Apr 2024

This discrepancy is particularly pronounced in retrograde encounters, where relativistic simulations predict up to $30\%$ more separation events and an earlier onset of binary separation ($\beta=2$ compared to $2. 5$ in Newtonian simulations, with $\beta$ the impact parameter).

High Energy Astrophysical Phenomena General Relativity and Quantum Cosmology

806
0.05 stars / hour

Modelling type 1 quasar colours in the era of Rubin and Euclid

mjtemple/qsogen 9 Sep 2021

We construct a parametric SED model which is able to reproduce the average observed SDSS-UKIDSS-WISE quasar colours to within one tenth of a magnitude across a wide range of redshift $(0<z<5)$ and luminosity $(-22>M_i>-29)$.

Astrophysics of Galaxies Instrumentation and Methods for Astrophysics

17
0.03 stars / hour

PyExoCross: a Python program for generating spectra and cross-sections from molecular line lists

exomol/pyexocross 6 Jun 2024

PyExoCross is a Python adaptation of the ExoCross Fortran application, PyExoCross is designed for postprocessing the huge molecular line lists generated by the ExoMol project and other similar initiatives such as the HITRAN and HITEMP databases.

Instrumentation and Methods for Astrophysics Earth and Planetary Astrophysics Chemical Physics

5
0.03 stars / hour

pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology

minaskar/pocomc 12 Jul 2022

pocoMC is a Python package for accelerated Bayesian inference in astronomy and cosmology.

Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics Computational Physics

70
0.03 stars / hour

The Athena++ Adaptive Mesh Refinement Framework: Multigrid Solvers for Self-Gravity

PrincetonUniversity/athena 27 Feb 2023

We describe the implementation of multigrid solvers in the Athena++ adaptive mesh refinement (AMR) framework and their application to the solution of the Poisson equation for self-gravity.

Instrumentation and Methods for Astrophysics

198
0.03 stars / hour

ripple: Differentiable and Hardware-Accelerated Waveforms for Gravitational Wave Data Analysis

tedwards2412/ripple 8 Feb 2023

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

51
0.02 stars / hour

AstroPhot: Fitting Everything Everywhere All at Once in Astronomical Images

autostronomy/astrophot 3 Aug 2023

Everywhere: AstroPhot can optimize forward models on CPU or GPU; across images that are large, multi-band, multi-epoch, rotated, dithered, and more.

Instrumentation and Methods for Astrophysics Astrophysics of Galaxies Solar and Stellar Astrophysics

77
0.02 stars / hour

Numerical simulations of stochastic inflation using importance sampling

jacks0nj/pyfpt 22 Jun 2022

We show how importance sampling can be used to reconstruct the statistics of rare cosmological fluctuations in stochastic inflation.

Cosmology and Nongalactic Astrophysics General Relativity and Quantum Cosmology

10
0.02 stars / hour

Generative Models of Multi-channel Data from a Single Example -- Application to Dust Emission

bregaldo/pywph 6 Aug 2022

The maps are equally well fitted, and a comparison of the MBB parameters shows that our model succeeds in capturing the spatial variations of the SED from the data.

Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies Instrumentation and Methods for Astrophysics

14
0.02 stars / hour