97 citations · 125 across the 13 of their papers we have counts for
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gr-qc2024★ 11 cited
Validating Prior-informed Fisher-matrix Analyses against GWTC Data
Ulyana Dupletsa, Jan Harms, Ken K. Y. Ng +3
Fisher-matrix methods are widely used to predict how accurately parameters can be estimated. Being computationally efficient, this approach is prompted by the large number of signa…
astro-ph.HE2024★ 9 cited
Classifying binary black holes from Population III stars with the Einstein Telescope: A machine-learning approach
Filippo Santoliquido, Ulyana Dupletsa, Jacopo Tissino +7
Third-generation (3G) gravitational-wave detectors such as the Einstein Telescope (ET) will observe binary black hole (BBH) mergers at redshifts up to . However, an uneq…