Document Type
Article
Publication Title
Astrophysical Journal
Department
Physics
ISSN
15384357
Volume
987
Issue
1
DOI
10.3847/1538-4357/add874
First Page
1
Last Page
10
Publication Date
6-23-2025
Abstract
We present the results of a search for nonlinear gravitational-wave (GW) memory in the NANOGrav 15 yr data set. We find no significant evidence for memory signals in the data set, with a maximum Bayes factor of 3.1 in favor of a model including memory. We therefore place upper limits on the strain of potential GW memory events as a function of sky location and observing epoch. We find upper limits that are not always more constraining than previous NANOGrav results. We show that it is likely due to the increase in common red noise between the 12.5 and 15 yr NANOGrav data sets.
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Recommended Citation
Agazie, Gabriella; Anumarlapudi, Akash; Archibald, Anne M.; Arzoumanian, Zaven; Baier, Jeremy G.; Baker, Paul T.; Bécsy, Bence; Blecha, Laura; Brazier, Adam; Brook, Paul R.; Burke-Spolaor, Sarah; Burnette, Rand; Casey-Clyde, J. Andrew; Charisi, Maria; Chatterjee, Shami; Cohen, Tyler; Cordes, James M.; Cornish, Neil J.; Crawford, Fronefield; Cromartie, H. Thankful; and Crowter, Kathryn, "The NANOGrav 15 yr Data Set: Search for Gravitational-wave Memory" (2025). Pacific Faculty Work. 111.
https://scholarlycommons.pacific.edu/all-faculty/111