The challenges of identifying Particle-Accelerating Colliding-Wind Binaries

Massive stars are frequently found in binary or higher-multiplicity systems. In such configurations, their strong stellar winds are likely to collide, generating high Mach number shocks. More than 50 of these systems have been identified as particle accelerators, likely through Diffusive Shock Acceleration in the colliding-wind region. While a few have been detected via their high-energy emissions, the primary evidence for relativistic particles comes from synchrotron radio emission. Radio observations, therefore, play a crucial role in identifying particle accelerators and potential targets for high-energy studies. However, various physical factors introduce significant biases, making it challenging to detect clear evidence of particle acceleration. This contribution aims to review the key challenges in this framework, incorporating recent insights motivated by new observational findings.

Publication Details

Journal
Open Repository and Bibliography (University of Liège)
Published
2025-05-08
Primary Topic
Orthoptera Research and Taxonomy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The challenges of identifying Particle-Accelerating Colliding-Wind Binaries

Open Repository and Bibliography (University of Liège)
Orthoptera Research and Taxonomy
article

The challenges of identifying Particle-Accelerating Colliding-Wind Binaries

article en

Abstract

Massive stars are frequently found in binary or higher-multiplicity systems. In such configurations, their strong stellar winds are likely to collide, generating high Mach number shocks. More than 50 of these systems have been identified as particle accelerators, likely through Diffusive Shock Acceleration in the colliding-wind region. While a few have been detected via their high-energy emissions, the primary evidence for relativistic particles comes from synchrotron radio emission. Radio observations, therefore, play a crucial role in identifying particle accelerators and potential targets for high-energy studies. However, various physical factors introduce significant biases, making it challenging to detect clear evidence of particle acceleration. This contribution aims to review the key challenges in this framework, incorporating recent insights motivated by new observational findings.

Open Repository and Bibliography (University of Liège)
Affordable and clean energy
Openalex Percentile: Top 41%
Orthoptera Research and Taxonomy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.