Incorporating sidereal modulation spectral features improves excess-power constraints on ultra-light dark matter by up to 36 percent at low frequencies, and an optimized cross-correlation statistic in the Band-Sampled-Data framework boosts sensitivity by up to 42 percent at low frequencies and 35 pe
A new data analysis framework for the search of continuous gravitational wave signals
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abstract
Continuous gravitational wave signals, like those expected by asymmetric spinning neutron stars, are among the most promising targets for LIGO and Virgo detectors. The development of fast and robust data analysis methods is crucial to increase the chances of a detection. We have developed a new and flexible general data analysis framework for the search of this kind of signals, which allows to reduce the computational cost of the analysis by about two orders of magnitude with respect to current procedures. This can correspond, at fixed computing cost, to a sensitivity gain of up to 10%-20%, depending on the search parameter space. Some possible applications are discussed, with a particular focus on a directed search for sources in the Galactic center. Validation through the injection of artificial signals in the data of Advanced LIGO first observational science run is also shown.
years
2026 2representative citing papers
A Z_1^2 framework supplies analytic uncertainty estimates for pulsar spin frequency and derivative by centering frequency at the observation midpoint and validating them against simulations and real AstroSat data.
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Optimising ultra-light dark matter searches with ground-based interferometers
Incorporating sidereal modulation spectral features improves excess-power constraints on ultra-light dark matter by up to 36 percent at low frequencies, and an optimized cross-correlation statistic in the Band-Sampled-Data framework boosts sensitivity by up to 42 percent at low frequencies and 35 pe
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A $Z_1^2$ framework for rotational-parameter estimation and uncertainty quantification in high-energy pulsars
A Z_1^2 framework supplies analytic uncertainty estimates for pulsar spin frequency and derivative by centering frequency at the observation midpoint and validating them against simulations and real AstroSat data.