On the interpretation of the Fermi GBM transient observed in coincidence with LIGO Gravitational Wave Event GW150914
V. Connaughton, E. Burns, A. Goldstein, L. Blackburn, M. S. Briggs, N., Christensen, C. M. Hui, D. Kocevski, T. Littenberg, J. E. McEnery, J., Racusin, P. Shawhan, J. Veitch, C. A. Wilson-Hodge, P. N. Bhat, E. Bissaldi,, W. Cleveland, M. M. Giles, M. H. Gibby, A. von Kienlin

TL;DR
This paper defends the significance of a weak gamma-ray transient detected by Fermi GBM near GW150914, clarifying previous analysis criticisms and confirming its potential association with the gravitational wave event.
Contribution
The paper demonstrates that the original spectral analysis of the GW150914-GBM transient is robust and confirms its statistical significance despite alternative analysis methods.
Findings
The transient's false alarm rate is approximately 10^{-4} Hz.
The post-trials false alarm probability of association is 2.2 x 10^{-3}.
The spectral analysis is not biased by the criticisms raised.
Abstract
The weak transient detected by the Fermi Gamma-ray Burst Monitor (GBM) 0.4 s after GW150914 has generated much speculation regarding its possible association with the black-hole binary merger. Investigation of the GBM data by Connaughton et al. (2016) revealed a source location consistent with GW150914 and a spectrum consistent with a weak, short Gamma-Ray Burst. Greiner et al. (2016) present an alternative technique for fitting background-limited data in the low-count regime, and call into question the spectral analysis and the significance of the detection of GW150914-GBM presented in Connaughton et al. (2016). The spectral analysis of Connaughton et al. (2016) is not subject to the limitations of the low-count regime noted by Greiner et al. (2016). We find Greiner et al. (2016) used an inconsistent source position and did not follow the steps taken in Connaughton et al. (2016) to…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
