Array programming with NumPy
Array programming provides a powerful, compact and expressive syntax for accessing,
manipulating and operating on data in vectors, matrices and higher-dimensional arrays …
manipulating and operating on data in vectors, matrices and higher-dimensional arrays …
[HTML][HTML] SciPy 1.0: fundamental algorithms for scientific computing in Python
SciPy is an open-source scientific computing library for the Python programming language.
Since its initial release in 2001, SciPy has become a de facto standard for leveraging …
Since its initial release in 2001, SciPy has become a de facto standard for leveraging …
The radius of PSR J0740+ 6620 from NICER and XMM-Newton data
MC Miller, FK Lamb, AJ Dittmann… - The Astrophysical …, 2021 - iopscience.iop.org
PSR J0740+ 6620 has a gravitational mass of 2.08±0.07 M⊙, which is the highest reliably
determined mass of any neutron star. As a result, a measurement of its radius will provide …
determined mass of any neutron star. As a result, a measurement of its radius will provide …
A NICER view of the massive pulsar PSR J0740+ 6620 informed by radio timing and XMM-Newton spectroscopy
We report on Bayesian estimation of the radius, mass, and hot surface regions of the
massive millisecond pulsar PSR J0740+ 6620, conditional on pulse-profile modeling of …
massive millisecond pulsar PSR J0740+ 6620, conditional on pulse-profile modeling of …
Flow matching for generative modeling
We introduce a new paradigm for generative modeling built on Continuous Normalizing
Flows (CNFs), allowing us to train CNFs at unprecedented scale. Specifically, we present …
Flows (CNFs), allowing us to train CNFs at unprecedented scale. Specifically, we present …
CADD: predicting the deleteriousness of variants throughout the human genome
Abstract Combined Annotation-Dependent Depletion (CADD) is a widely used measure of
variant deleteriousness that can effectively prioritize causal variants in genetic analyses …
variant deleteriousness that can effectively prioritize causal variants in genetic analyses …
First Sagittarius A* event horizon telescope results. V. Testing astrophysical models of the galactic center black hole
In this paper we provide a first physical interpretation for the Event Horizon Telescopeʼs
(EHT) 2017 observations of Sgr A*. Our main approach is to compare resolved EHT data at …
(EHT) 2017 observations of Sgr A*. Our main approach is to compare resolved EHT data at …
A NICER view of PSR J0030+ 0451: millisecond pulsar parameter estimation
We report on Bayesian parameter estimation of the mass and equatorial radius of the
millisecond pulsar PSR J0030+ 0451, conditional on pulse-profile modeling of Neutron Star …
millisecond pulsar PSR J0030+ 0451, conditional on pulse-profile modeling of Neutron Star …
dynesty: a dynamic nested sampling package for estimating Bayesian posteriors and evidences
JS Speagle - Monthly Notices of the Royal Astronomical Society, 2020 - academic.oup.com
We present dynesty, a public, open-source, python package to estimate Bayesian posteriors
and evidences (marginal likelihoods) using the dynamic nested sampling methods …
and evidences (marginal likelihoods) using the dynamic nested sampling methods …
The atomic simulation environment—a Python library for working with atoms
The atomic simulation environment (ASE) is a software package written in the Python
programming language with the aim of setting up, steering, and analyzing atomistic …
programming language with the aim of setting up, steering, and analyzing atomistic …