Quantifying the dust in SN 2012aw and iPTF14hls with ORBYTS
Maria Niculescu-Duvaz, M. J. Barlow, W. Dunn, A. Bevan, Omar Ahmed,, David Arkless, Jon Barker, Sidney Bartolotta, Liam Brockway, Daniel Browne,, Ubaid Esmail, Max Garner, Wiktoria Guz, Scarlett King, Hayri Kose, Madeline, Lampstaes-Capes, Joseph Magen, Nicole Morrison, Kyaw Oo

TL;DR
This study uses a new GUI tool to measure dust masses in supernovae SN 2012aw and iPTF14hls, revealing they form less dust than SN 1987A and demonstrating broad participation in scientific research.
Contribution
We developed a user-friendly GUI for DAMOCLES, enabling diverse contributors to measure supernova dust masses, and applied Bayesian methods to quantify uncertainties in these measurements.
Findings
SN 2012aw formed approximately 6.0e-4 solar masses of dust.
iPTF14hls formed approximately 8.1e-5 solar masses of dust.
SN 2012aw and iPTF14hls formed less dust than SN 1987A.
Abstract
Core-collapse supernovae (CCSNe) are potentially capable of producing large quantities of dust, with strong evidence that ejecta dust masses can grow significantly over extended periods of time. Red-blue asymmetries in the broad emission lines of CCSNe can be modelled using the Monte Carlo radiative transfer code DAMOCLES, to determine ejecta dust masses. To facilitate easier use of DAMOCLES, we present a Tkinter graphical user interface (GUI) running DAMOCLES. The GUI was tested by high school students as part of the Original Research By Young Twinkle Students (ORBYTS) programme, who used it to measure the dust masses formed at two epochs in two Type IIP CCSNe: SN 2012aw and iPTF14hls, demonstrating that a wide range of people can contribute significantly to scientific advancement. Bayesian methods were used to quantify uncertainties on our model parameters. From the presence of a red…
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Taxonomy
TopicsGamma-ray bursts and supernovae · Nuclear Physics and Applications · Radiation Therapy and Dosimetry
