PreprintCC BY 4.0arXiv
DustRover: A Python Package for Modelling Dust Extinction Curves (Phase I)
Abstract
We introduce DustRover, an open-source Python package designed to model dust extinction curves using multi-wavelength regimes. DustRover supports optical/infrared spectroscopy, broadband photometry, and X-ray data within a unified framework, enabling robust analysis of dust extinction curves in distant galaxies. The software features a modular architecture that strictly decouples data management, dust models, and Markov Chain Monte Carlo (MCMC) based statistical fitting. The package is highly user-oriented, using simple YAML configuration files and offering built-in visualisation tools for SEDs and extinction curves.
Versions
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BibTeX
@misc{bazkiaei2026dustrover,
title = {{DustRover: A Python Package for Modelling Dust Extinction Curves (Phase I)}},
author = {Amir E. Bazkiaei and Tayyaba Zafar and Nuria P. F. Lorente and Anilkumar Mailvaganam and Arihant Raidani},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.06401},
eprint = {2609.06401},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.06401},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - DustRover: A Python Package for Modelling Dust Extinction Curves (Phase I)
AU - Amir E. Bazkiaei
AU - Tayyaba Zafar
AU - Nuria P. F. Lorente
AU - Anilkumar Mailvaganam
AU - Arihant Raidani
PY - 2026
DA - 2026/09/06
PB - arXiv
DO - 10.48550/arxiv.2609.06401
UR - https://arxiv.org/abs/2609.06401
AB - We introduce DustRover, an open-source Python package designed to model dust extinction curves using multi-wavelength regimes. DustRover supports optical/infrared spectroscopy, broadband photometry, and X-ray data within a unified framework, enabling robust analysis of dust extinction curves in distant galaxies. The software features a modular architecture that strictly decouples data management, dust models, and Markov Chain Monte Carlo (MCMC) based statistical fitting. The package is highly user-oriented, using simple YAML configuration files and offering built-in visualisation tools for SEDs and extinction curves.
ER -