TY - JOUR
T1 - Gravitational lensing of core-collapse supernova gravitational wave signals
AU - Ramesh, Rahul
AU - Meena, Ashish Kumar
AU - Bagla, Jasjeet Singh
N1 - Funding Information:
The authors would like to thank Ambresh Shivaji for helpful discussions and comments. RR thanks the Department of Science and Technology, Government of India for being awarded the INSPIRE scholarship. AKM would like to thank the Council of Scientific and Industrial Research (CSIR), India for financial support through research fellowship No. 524007. The authors thank the anonymous referee for insightful comments. The authors acknowledge the use of the IISER Mohali HPC facility. This research has made use of NASA’s Astrophysics Data System Bibliographic Services.
Publisher Copyright:
© 2022, Indian Academy of Sciences.
PY - 2022/6/1
Y1 - 2022/6/1
N2 - We discuss the prospects of gravitational lensing of gravitational waves (GWs) coming from core-collapse supernovae (CCSN). As the CCSN GW signal can only be detected from within our own Galaxy and the local group by current and upcoming ground-based GW detectors, we focus on microlensing. We introduce a new technique based on the analysis of the power spectrum and association of peaks of the power spectrum with the peaks of the amplification factor to identify lensed signals. We validate our method by applying it on the CCSN-like mock signals lensed by a point-mass lens. We find that lensed and unlensed signals can be differentiated using the association of peaks by more than one sigma for lens masses ML>150M⊙. We also study the correlation integral between the power spectra and the corresponding amplification factor. This statistical approach can differentiate between unlensed and lensed signals for lenses as small as ML∼15M⊙. Further, we demonstrate that this method can be used to estimate the mass of a lens if the signal is lensed. The power spectrum-based analysis is general and can be applied to any broadband signal and is especially useful for incoherent signals.
AB - We discuss the prospects of gravitational lensing of gravitational waves (GWs) coming from core-collapse supernovae (CCSN). As the CCSN GW signal can only be detected from within our own Galaxy and the local group by current and upcoming ground-based GW detectors, we focus on microlensing. We introduce a new technique based on the analysis of the power spectrum and association of peaks of the power spectrum with the peaks of the amplification factor to identify lensed signals. We validate our method by applying it on the CCSN-like mock signals lensed by a point-mass lens. We find that lensed and unlensed signals can be differentiated using the association of peaks by more than one sigma for lens masses ML>150M⊙. We also study the correlation integral between the power spectra and the corresponding amplification factor. This statistical approach can differentiate between unlensed and lensed signals for lenses as small as ML∼15M⊙. Further, we demonstrate that this method can be used to estimate the mass of a lens if the signal is lensed. The power spectrum-based analysis is general and can be applied to any broadband signal and is especially useful for incoherent signals.
KW - Gravitational lensing
KW - micro, gravitational waves
UR - http://www.scopus.com/inward/record.url?scp=85123010759&partnerID=8YFLogxK
U2 - 10.1007/s12036-021-09787-3
DO - 10.1007/s12036-021-09787-3
M3 - Article
AN - SCOPUS:85123010759
SN - 0250-6335
VL - 43
JO - Journal of Astrophysics and Astronomy
JF - Journal of Astrophysics and Astronomy
IS - 1
M1 - 5
ER -