SearcharxivSearch

arXiv · 2509.00907

Investigating Hardware Injections in LIGO O3 Data: Simulated Signals from a Neutron Star in a Low-Mass X-ray Binary

Abstract

During LIGO-Virgo-KAGRA's third observing run (O3), simulated continuous gravitational wave (CW) signals were added to the LIGO detectors as hardware (HW) injections, which are physical injections into the interferometer control loop via auxiliary laser actuation on test-mass mirrors. These included two periodic signals mimicking a spinning neutron star in a binary system, similar to the low-mass X-ray binary Scorpius X-1 (Sco X-1). HW injections serve as an important validation of a search method, as they occur before data cleaning and preparation. We searched for these injections using the model-based cross-correlation pipeline, which was used to search for CWs from Sco X-1 in the first three LVK observing runs. To simulate a realistic search, we used a search region of orbital parameter space of similar size to the plausible parameter ranges for Sco X-1, but containing the parameters of each HW injection. Our self-blinded analysis confidently detected one of the injections. The other, which was generated with a lower amplitude and in a more expensive region of frequency space, was not detected. We verified the imprint of this second signal by performing a deeper targeted search at its true parameters. However, such a deep search across the full parameter range would have been computationally infeasible.

Explore related subjects

Keep this discovery

BibTeXRIS

Jediah Tau, John T. Whelan. 2025-08-31. Investigating Hardware Injections in LIGO O3 Data: Simulated Signals from a Neutron Star in a Low-Mass X-ray Binary. https://arxiv.org/abs/2509.00907

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Electrovacuum Black Hole Uniqueness

We prove the black hole uniqueness conjecture in the axially symmetric, stationary, electrovacuum setting, subject to the refined asymptotic analysis of the associated singular harmonic maps, which includes an analyticity hypothesis at the axes. More precisely, it is shown that any asymptotically flat solution of the Einstein--Maxwell equations in this class, with more than one black hole horizon component is either: Majumdar--Papapetrou, up to a duality rotation, in which case all logarithmic angle defects vanish, or every finite axis rod logarithmic angle defect is strictly negative and hence every interaction force is strictly attractive. The proof extends the singular harmonic map method used for vacuum Kerr uniqueness in [18].

gr-qc

Constraining Modified Mass-to-Horizon Cosmology Through Primordial Inflationary Observables

We investigate slow-roll inflation in a modified cosmological framework inspired by a generalized mass-to-horizon relation (MHR), $M=\gamma {c^2 L^n}/{G}$, where $n$ is a real parameter and $\gamma$ a dimensional constant. Using Padmanabhan's emergence paradigm, we derive the modified Friedmann equations for a flat FRW universe and analyze the dynamics of a canonical scalar field (inflaton) under the slow-roll approximation. We study the resulting inflationary phenomenology for power-law and Starobinsky potentials. For power-law potentials, the MHR modification fails to reconcile these models with current CMB constraints on $r$ and $n_s$. In contrast, Starobinsky inflation exhibits significant sensitivity to deviations from $n=1$. A perturbative analysis ($n=1+\Delta$) yields corrections to inflationary observables. We observe that the scalar power-spectrum normalization, under a fixed-Starobinsky prescription, imposes the stringent constraint $0.960 \lesssim n \lesssim 1.040$ for $N=60$ efolds. This is considerably tighter than spectral-index bounds. Our results establish inflation, particularly Starobinsky-like models, as a sensitive probe of generalized horizon thermodynamics and departures from standard MHR scaling.

gr-qc

Improving the Sensitivity of Gravitational Wave Detection with Weighted Conformal Prediction

In the last decade, kilometre-scale interferometric gravitational-wave detectors have observed hundreds of compact binary mergers, the majority of which are binary black holes. However, the data are noise-dominated, and multiple independent search algorithms (pipelines) are used to enhance sensitivity and improve robustness. Rather than the standard approach of selecting the most significant pipeline output, we combine the outputs from all pipelines using a conformal prediction-based framework to provide statistically rigorous confidence estimates for candidate events. While combining pipelines improves sensitivity and ranking robustness, it requires a principled statistical framework that remains valid as data properties evolve across observing runs. A key challenge is distribution shifts between simulated datasets used for training and calibration and the real, unlabelled, observations used for testing, which can invalidate coverage guarantees and bias confidence estimates. In this work, we address this challenge by incorporating likelihood-ratio reweighting into our conformal prediction framework to account for covariate shift. Using mock datasets containing simulated signals, we demonstrate that weighted conformal prediction restores well-calibrated coverage under covariate shift and increases the confidence of events near the detection threshold, recovering true signals that would otherwise be missed.

gr-qc