Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

The thermal-radiative wind in low-mass X-ray binary H1743−322 – II. Iron line predictions from Monte Carlo radiation transfer

Ryota Tomaru, Chris Done, Ken Ohsuga, Hirokazu Odaka, Tadayuki Takahashi

Monthly Notices of the Royal Astronomical Society · 2020

Read source ↗ All evidence

Summary

This paper presents Monte Carlo radiation transfer simulations of thermal-radiative winds in the black hole binary system H1743−322, using density and velocity structures from radiation hydrodynamic codes. The simulations successfully reproduce observed iron line profiles from Chandra grating data, supporting the hypothesis that thermal-radiative winds rather than magnetic winds produce the observed absorption features. The study demonstrates that velocity structure is a key discriminator between magnetic and thermal wind models, with implications for interpreting future X-ray spectroscopic observations.

Key measures

Iron line profiles, absorption and emission features, wind velocity and density structures from Monte Carlo radiation transport calculations

Outcomes reported

This astrophysics paper does not report outcomes relevant to agricultural or food systems research.

Theme
General food systems / other
Subject
Other / interdisciplinary
Study type
Research
Study design
Laboratory / computational modelling
Source type
Peer-reviewed study
Status
Published
System type
Other
DOI
10.1093/mnras/staa961
Catalogue ID
BFmokjnswo-jejrdy

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.