LIGO Document T1800230-v1
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A Study of Gravitational Wave Memory and Its Detectability With LIGO Using Bayesian Inference
Document #:
LIGO-T1800230-v1
Document type:
T - Technical notes
Other Versions:
Abstract:
Documents from summer 2018 SURF student Jillian Doane - Oberlin College.
Files in Document:
Jillian_Doane_SURF18_Final_Report2_20181025.pdf
(655.7 kB)
Other Files:
Jillian_Doane_SURF18_Interim_Report1_20180706.pdf
(222.2 kB)
Jillian_Doane_SURF18_Interim_Report2_20180809.pdf
(223.2 kB)
Jullian_Doane_SURF18_proposal_final.pdf
(282.7 kB)
Final presentation, PDF
(1A Study of Gravitational Wave Memory and its Detectab...pdf, 1.1 MB)
Topics:
Compact Binaries
Data Analysis
Authors:
Jillian Doane
Jonah Kanner
Alan Weinstein
Keywords:
SURF18
Memory
Referenced by:
LIGO-T1900127:
Final reports from LIGO SURF program, Summer 2018
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