The Citing articles tool gives a list of articles citing the current article. The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Searching for additional structure and redshift evolution in the observed binary black hole population with a parametric time-dependent mass distribution
Vasco Gennari, Simone Mastrogiovanni, Nicola Tamanini, Sylvain Marsat and Gregoire Pierra Physical Review D 111(12) (2025) https://doi.org/10.1103/ftw9-7xd5
Nonparametric analysis of correlations in the binary black hole population with LIGO-Virgo-KAGRA data
Structure and Skewness of the Effective Inspiral Spin Distribution of Binary Black Hole Mergers
Sharan Banagiri, Thomas A. Callister, Christian Adamcewicz, Zoheyr Doctor and Vicky Kalogera The Astrophysical Journal 990(2) 147 (2025) https://doi.org/10.3847/1538-4357/adf4c6
Inferring the pair-instability mass gap from gravitational wave data
Fabio Antonini, Thomas Callister, Fani Dosopoulou, Isobel M. Romero-Shaw and Debatri Chattopadhyay Physical Review D 112(6) (2025) https://doi.org/10.1103/nxnr-pdyx
Profiling stellar environments of gravitational wave sources
Avinash Tiwari, Aditya Vijaykumar, Shasvath J. Kapadia, Sourav Chatterjee and Giacomo Fragione Physical Review D 112(8) (2025) https://doi.org/10.1103/gspl-m478
GW231123 mass gap event and the primordial black hole scenario
GW231123: A Binary Black Hole Merger with Total Mass 190–265 M
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A. G. Abac, I. Abouelfettouh, F. Acernese, K. Ackley, C. Adamcewicz, S. Adhicary, D. Adhikari, N. Adhikari, R. X. Adhikari, V. K. Adkins, S. Afroz, A. Agapito, D. Agarwal, M. Agathos, N. Aggarwal, S. Aggarwal, O. D. Aguiar, I.-L. Ahrend, L. Aiello, A. Ain, P. Ajith, T. Akutsu, S. Albanesi, W. Ali, S. Al-Kershi, et al. The Astrophysical Journal Letters 993(1) L25 (2025) https://doi.org/10.3847/2041-8213/ae0c9c
Machine learning classification of black holes in the mass-spin diagram