TY - JOUR
T1 - Blinded mock data challenge for gravitational-wave cosmology. I. Assessing the robustness of methods using binary black hole mass spectrum
AU - Agarwal, Aman
AU - Dupletsa, Ulyana
AU - Leyde, Konstantin
AU - Mukherjee, Suvodip
AU - Revenu, Benot
AU - Rivera, Juan Esteban
AU - Romano, Antonio Enea
AU - Sah, Mohit Raj
AU - Vallejo-Peña, Sergio
AU - Avendano, Adrian
AU - Beirnaert, Freija
AU - Dalya, Gergely
AU - Espitia, Miguel Cifuentes
AU - Karathanasis, Christos
AU - Gonzalez, Santiago Moreno
AU - Quiceno, Lucas
AU - Stachurski, Federico
AU - Garcia-Bellido, Juan
AU - Gray, Rachel
AU - Tamanini, Nicola
AU - Turski, Cezary
N1 - Publisher Copyright:
© 2025. The Author(s). Published by the American Astronomical Society.
PY - 2025/7/1
Y1 - 2025/7/1
N2 - Gravitational wave sources are standard sirens that provide an independent way to map the cosmic expansion history by combining with an independent redshift measurement, either from an electromagnetic counterpart for a bright siren or using different statistical techniques for dark sirens. In this analysis, we perform the first Blinded Mock Data Challenge (Blinded-MDC) to test the robustness in inferring the value of Hubble constant H0 for a dark siren technique which depends on astrophysical mass distribution of binary black holes (BBHs). We have considered different analysis setups for the Blinded-MDC to test both statistical and systematic uncertainties and demonstrate the capabilities in inferring H0 with detector sensitivity as per the fourth observation run of LIGO-Virgo-KAGRA. We find that when the astrophysical population of BBHs matches with the underlying assumption of the model, a cosmological pipeline can recover the injected parameters using the observed mass distribution. However, when the mock mass distribution of the astrophysical population depends slightly on redshift and one is ignorant about it in analyzing the data, it can cause a systematic discrepancy in the inferred value of H0 by about 1.5σ, above the statistical fluctuations due to noise and a limited number of events. In the future, elaborate studies will be required to mitigate systematic uncertainties due to unknown astrophysical complexities. This MDC framework sets the road map for inspecting the precision and accuracy of standard siren cosmology and provides the first insight into the robustness of the population-dependent cosmology inference in a blinded analysis setup.
AB - Gravitational wave sources are standard sirens that provide an independent way to map the cosmic expansion history by combining with an independent redshift measurement, either from an electromagnetic counterpart for a bright siren or using different statistical techniques for dark sirens. In this analysis, we perform the first Blinded Mock Data Challenge (Blinded-MDC) to test the robustness in inferring the value of Hubble constant H0 for a dark siren technique which depends on astrophysical mass distribution of binary black holes (BBHs). We have considered different analysis setups for the Blinded-MDC to test both statistical and systematic uncertainties and demonstrate the capabilities in inferring H0 with detector sensitivity as per the fourth observation run of LIGO-Virgo-KAGRA. We find that when the astrophysical population of BBHs matches with the underlying assumption of the model, a cosmological pipeline can recover the injected parameters using the observed mass distribution. However, when the mock mass distribution of the astrophysical population depends slightly on redshift and one is ignorant about it in analyzing the data, it can cause a systematic discrepancy in the inferred value of H0 by about 1.5σ, above the statistical fluctuations due to noise and a limited number of events. In the future, elaborate studies will be required to mitigate systematic uncertainties due to unknown astrophysical complexities. This MDC framework sets the road map for inspecting the precision and accuracy of standard siren cosmology and provides the first insight into the robustness of the population-dependent cosmology inference in a blinded analysis setup.
UR - https://www.scopus.com/pages/publications/105009363666
U2 - 10.3847/1538-4357/adda3a
DO - 10.3847/1538-4357/adda3a
M3 - Article
AN - SCOPUS:105009363666
SN - 0004-637X
VL - 987
JO - Astrophysical Journal
JF - Astrophysical Journal
IS - 1
M1 - 47
ER -