The high redshift merger rate and mass distribution of black hole binaries provide a direct probe to distinguish astrophysical black holes and primordial black holes (PBHs), which can be studied using the stochastic gravitational-wave background (SGWB). The conventional analyses solely based on the power spectrum are limited in constraining the properties of the underlying source population under the assumption of a nonsporadic Gaussian distribution. However, recent studies have shown that SGWB is expected to be sporadic and non-Gaussian in nature, which gives rise to nonzero spectral correlation that depends on the high redshift merger rate and mass distribution of the compact objects. In this work, we present the first spectral covariance analysis of the SGWB using data from the LIGO-Virgo-KAGRA collaboration during the third and the first part of the fourth observing runs. Our analysis indicates that the measured spectral correlation is consistent with noise, yielding no detection and providing only upper bounds over the frequency range of 20 Hz to 100 Hz. This upper bound on the spectral correlation translates into a mass-distribution-dependent upper bound on the merger rate of PBHs. This provides a stringent upper bound on the PBH merger rate at high redshift and hence puts constraints on the PBH formation scenarios. In the future, detection of this signal will provide a new avenue to probe the high-redshift black hole population using gravitational waves.

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• Gravitational waves
• Primordial black holes