English
Related papers

Related papers: PopCORN: Hunting down the differences between bina…

200 papers

With the remarkable success of the LVK consortium in detecting binary black hole mergers, it has become possible to use the population properties to constrain our understanding of the progenitor stars' evolution. The most striking features…

High Energy Astrophysical Phenomena · Physics 2023-02-15 M. M. Briel , H. F. Stevance , J. J. Eldridge

Many field stars reside in binaries, and the analysis and interpretation of photometric and spectroscopic surveys must take this into account. We have developed a model to predict how binaries influence the scientific results inferred from…

Solar and Stellar Astrophysics · Physics 2018-04-26 Edita Stonkutė , Ross P. Church , Sofia Feltzing , Jennifer A. Johnson

Predictive coding is the leading algorithmic framework to understand how expectations shape our experience of reality. Its main tenet is that sensory neurons encode prediction error: the residuals between a generative model of the sensory…

Neurons and Cognition · Quantitative Biology 2022-01-20 Alejandro Tabas , Katharina von Kriegstein

Connecting star and planet properties in a single model is not straightforward. Stellar population synthesis models are key to explore combined statistical constraints from stars and planets observations. The Besan\c{c}on stellar population…

Earth and Planetary Astrophysics · Physics 2019-02-21 Cabral Nahuel , Nadège Lagarde , Céline Reylé , Aurélie Guilbert-Lepoutre , Annie C. Robin

The recent release of the second Gravitational-Wave Transient Catalog (GWTC-2) has increased significantly the number of known GW events, enabling unprecedented constraints on formation models of compact binaries. One pressing question is…

High Energy Astrophysical Phenomena · Physics 2021-04-28 Kaze W. K. Wong , Katelyn Breivik , Kyle Kremer , Thomas Callister

Population synthesis is a critical task that involves generating synthetic yet realistic representations of populations. It is a fundamental problem in agent-based modeling (ABM), which has become the standard to analyze intelligent…

Machine Learning · Computer Science 2025-08-14 Min Tang , Peng Lu , Qing Feng

Comparing the differences in outcomes (that is, in "dependent variables") between two subpopulations is often most informative when comparing outcomes only for individuals from the subpopulations who are similar according to "independent…

Methodology · Statistics 2021-12-20 Mark Tygert

As we enter the era of gravitational wave astronomy, we are beginning to collect observations which will enable us to explore aspects of astrophysics of massive stellar binaries which were previously beyond reach. In this paper we describe…

High Energy Astrophysical Phenomena · Physics 2017-06-14 Jim W. Barrett , Ilya Mandel , Coenraad J. Neijssel , Simon Stevenson , Alejandro Vigna-Gomez

We use N-body simulations to study the dynamical evolution of Population III (Pop III) stellar systems and the resulting binary statistics. We design a physically-motivated framework for the initial conditions of Pop III star clusters,…

Astrophysics of Galaxies · Physics 2020-12-02 Boyuan Liu , Georges Meynet , Volker Bromm

Probabilities of causation play a crucial role in modern decision-making. This paper addresses the challenge of predicting probabilities of causation for subpopulations with insufficient data using machine learning models. Tian and Pearl…

Artificial Intelligence · Computer Science 2025-02-14 Shuai Wang , Ang Li

With the release of the fourth LIGO--Virgo--KAGRA gravitational-wave catalog (GWTC-4), we are starting to gain a detailed view of the population of merging binary black holes. The formation channels of these black holes is not clearly…

High Energy Astrophysical Phenomena · Physics 2025-09-22 Sharan Banagiri , Eric Thrane , Paul D. Lasky

Globular Clusters (GCs) are known to host distinct stellar populations, characterized by different chemical compositions. Despite extensive research, the origin of these populations remains elusive. According to many formation scenarios,…

Behavioral experiments on humans and animals suggest that the brain performs probabilistic inference to interpret its environment. Here we present a new general-purpose, biologically-plausible neural implementation of approximate inference.…

Neurons and Cognition · Quantitative Biology 2016-05-24 Rajkumar Vasudeva Raju , Xaq Pitkow

Understanding the astrophysical origins of binary black holes requires accurate and flexible modeling of multi-dimensional population properties. In this paper, using a data-driven framework based on binned Gaussian processes, we…

High Energy Astrophysical Phenomena · Physics 2025-12-01 Omkar Sridhar , Anarya Ray , Vicky Kalogera

The effect of bias on hypothesis formation is characterized for an automated data-driven projection pursuit neural network to extract and select features for binary classification of data streams. This intelligent exploratory process…

Machine Learning · Computer Science 2022-01-05 John Patterson , Chris Avery , Tyler Grear , Donald J. Jacobs

Divergence is not only an important mathematical concept in information theory, but also applied to machine learning problems such as low-dimensional embedding, manifold learning, clustering, classification, and anomaly detection. We…

Computation · Statistics 2016-11-22 Kun Yang , Hao Su , Wing Hung Wong

We first presented an isochrone database that can be widely used for stellar population synthesis studies and colour-magnitude diagram (CMD) fitting. The database consists of the isochrones of both single star and binary star simple stellar…

Astrophysics · Physics 2009-11-13 Zhongmu Li , Zhanwen Han

The recent discovery of planets orbiting main sequence binaries will provide crucial constraints for theories of binary and planet formation. The formation pathway for these planets is complicated by uncertainties in the formation mechanism…

Earth and Planetary Astrophysics · Physics 2015-06-17 Kaitlin M. Kratter , Andrew Shannon

Wide, fragile binary stellar systems are found in the galactic field, and have recently been noted in the outskirts of expanding star clusters in numerical simulations. Energetically soft, with semi-major axes exceeding the initial size of…

Solar and Stellar Astrophysics · Physics 2015-05-27 Nickolas Moeckel , Cathie J. Clarke

Among massive stars, binary interaction is the rule rather than the exception. The closest binaries, those with periods of less than about 10 days, undergo mass transfer during core-hydrogen burning, with many of them experiencing a…

Solar and Stellar Astrophysics · Physics 2025-03-17 Matthias Fabry , Pablo Marchant , Norbert Langer , Hugues Sana