Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

SPAMCART: a code for smoothed particle Monte Carlo radiative transfer

Lomax, Oliver Daniel ORCID: https://orcid.org/0000-0002-1641-4318 and Whitworth, Anthony Peter ORCID: https://orcid.org/0000-0002-1178-5486 2016. SPAMCART: a code for smoothed particle Monte Carlo radiative transfer. Monthly Notices of the Royal Astronomical Society 461 (4) , pp. 3542-3551. 10.1093/mnras/stw1568

[thumbnail of spamcart_v3.pdf]
Preview
PDF - Accepted Post-Print Version
Download (4MB) | Preview

Abstract

We present a code for generating synthetic SEDs and intensity maps from Smoothed Particle Hydrodynamics simulation snapshots. The code is based on the Lucy (1999) Monte Carlo Radiative Transfer method, i.e. it follows discrete luminosity packets as they propagate through a density field, and then uses their trajectories to compute the radiative equilibrium temperature of the ambient dust. The sources can be extended and/or embedded, and discrete and/or diffuse. The density is not mapped onto a grid, and therefore the calculation is performed at exactly the same resolution as the hydrodynamics. We present two example calculations using this method. First, we demonstrate that the code strictly adheres to Kirchhoff's law of radiation. Second, we present synthetic intensity maps and spectra of an embedded protostellar multiple system. The algorithm uses data structures that are already constructed for other purposes in modern particle codes. It is therefore relatively simple to implement.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Physics and Astronomy
Advanced Research Computing @ Cardiff (ARCCA)
Subjects: Q Science > QB Astronomy
Publisher: Oxford University Press
ISSN: 0035-8711
Date of First Compliant Deposit: 12 July 2016
Date of Acceptance: 28 June 2016
Last Modified: 05 Dec 2024 16:45
URI: https://orca.cardiff.ac.uk/id/eprint/92501

Citation Data

Cited 6 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics