20 pages, 17 figures. Submitted to MNRAS
Calibrating with detailed 2D core-collapse supernova simulations, we derive a simple core-collapse supernova explosion condition based solely upon the terminal density profiles of state-of-the-art stellar evolution calculations of the progenitor massive stars. This condition captures the vast majority of the behavior of the one hundred 2D state-of-the-art models we performed to gauge its usefulness. The goal is to predict, without resort to detailed simulation, the explodability of a given massive star. We find that the simple maximum fractional ram pressure jump discriminant we define works well ~90% of the time and we speculate on the origin of the few false positives and false negatives we witness. The maximum ram pressure jump generally occurs at the time of accretion of the silicon/oxygen interface, but not always. Our results depend upon the fidelity with which the current implementation of our code Fornax adheres to Nature and issues concerning the neutrino-matter interaction, the nuclear equation of state, the possible effects of neutrino oscillations, grid resolution, the possible role of rotation and magnetic fields, and the accuracy of the numerical algorithms employed remain to be resolved. Nevertheless, the explodability condition we obtain is simple to implement, shows promise that it might be further generalized while still employing data from only the unstable Chandrasekhar progenitors, and is a more credible and robust simple explosion predictor than can currently be found in the literature.
Submitted to MNRAS
26 pages, 18 figures, 10 tables, Accepted for Publication in AJ
Reader comments are very welcome
22 pages, 14 figures
8 pages, 5 figures, Submitted to MNRAS
12 pages, 9 figures, 4 tables. Submitted to MNRAS (2nd revision)
22 pages, 10 figures, 5 tables. Submitted to ApJ. Comments welcome
8 pages, 4 figures, accepted for publication in ApJL
Published on ApJ
75 pages, 25 figures, 1 table, accepted for the Handbook of X-ray and Gamma-ray Astrophysics
10 pages, 7 figures, submitted to SPIE
8 pages, 5 figures. Accepted for publication in MNRAS
Accepted to MNRAS
14pages, 8 figures, 4 tables, data is available in this http URL
13 pages, 5 figures; comments welcome
15 pages, 14 figures, 1 table, accepted to ApJ on the June 5, 2022
15 pages, 12 figures, accepted by MNRAS
7 pages, 6 figures
12 pages, 7 figures, 2 tables
Theory paper supported by numerical experiments, 22 pages and 12 figures. Accepted for publication in A&A
accepted for publication in ApJ
14 pages, 8 figures, This paper has been accepted by APJ
10 Pages, 7 figures
16 pages, 12 figures, submitted to Proceedings of SPIE Astronomical Telescopes & Instrumentation 2022
Accepted in Indian Journal of History of Science, INSA, New Delhi. It will be published in September issue of 2022. 35 pages, 16 figures and 3 tables
Will be submitted in two days to allow for comments
ICML 2022 Workshop: Machine Learning for Astrophysics
16 pages, 12 figures, accepted for publication in A&A
6 pages, 3 figures, accepted to the ICML 2022 Machine Learning for Astrophysics workshop
6 pages, 3 figures, accepted to the ICML 2022 Machine Learning for Astrophysics workshop
6 pages, 4 figures, accepted to the ICML 2022 Machine Learning for Astrophysics workshop
6 pages, 3 figures, accepted to the ICML 2022 Machine Learning for Astrophysics workshop
24 pages, 19 figures, 7 tables, 1 appendix. Accepted in A&A
Accepted for publication in A&A, 8 pages, 5 figures, 1 table, abridged abstract
5 page manuscript with 2 page appendix excluding bibliography; 10 total pages; 5 figures
16 pages revtex4 + references, 7 figures
6 pages + references, 6 figures
30 pages + appendix, 13 figures, 4 tables, comments and feedback welcome
10 pages and 8 figs. We welcome comments
6 pages, 1 figure. Prepared for readers' comments before submitting to a journal
43 + 9 pages, 24 + 3 Figures, $\texttt{GWFAST}$ available at this https URL , $\texttt{WF4Py}$ available at this https URL
24 pages, 7 figures