Observing an intermediate mass black hole GW190521 with minimal assumptions

Szczepanczyk, Marek; Klimenko, Sergey; O'Brien, Brendan; Bartos, Imre; Gayathri, V.; Mitselmakher, Guenakh; Prodi, Giovanni; Vedovato, Gabriele; Lazzaro, Claudia; Milotti, Edoardo; Salemi, Francesco; Drago, Marco; Tiwari, Shubhanshu

doi:10.48550/arxiv.2009.11336

Cited by 8 publications

(10 citation statements)

References 36 publications

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“…[16,20,21,42,43]) with minimal assumptions on the signal morphologies. It regularly detects GWs from binary BH mergers [3,4], it was the only search algorithm to detect GW150914 in low-latency [44] and recently it observed the first GW detection of an intermediate-mass binary black-hole GW190521 [45,46]. The cWB search was performing low-latency analysis during each observing run of the advanced detectors and during O3 it was the only algorithm capable of detecting GW bursts in low-latency.…”

Section: Introductionmentioning

confidence: 99%

Detecting and reconstructing gravitational waves from the next Galactic core-collapse supernova in the Advanced Detector Era

Szczepanczyk,

Antelis,

Benjamin

et al. 2021

Preprint

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We performed a detailed analysis of the detectability of a wide range of gravitational waves derived from core-collapse supernova simulations using gravitational-wave detector noise scaled to the sensitivity of the upcoming fourth and fifth observing runs of the Advanced LIGO, Advanced Virgo, and KAGRA. We use the coherent WaveBurst algorithm, which was used in the previous observing runs to search for gravitational waves from core-collapse supernovae. As coherent WaveBurst makes minimal assumptions on the morphology of a gravitational-wave signal, it can play an important role in the first detection of gravitational waves from an event in the Milky Way. We predict that signals from neutrino-driven explosions could be detected up to an average distance of 10 kpc, and distances of over 100 kpc can be reached for explosions of rapidly rotating progenitor stars. An estimated minimum signal-to-noise ratio of 10-25 is needed for the signals to be detected. We quantify the accuracy of the waveforms reconstructed with coherent WaveBurst and we determine that the most challenging signals to reconstruct are those produced in long-duration neutrino-driven explosions and models that form black holes a few seconds after the core bounce.

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Section: Introductionmentioning

confidence: 99%

Detecting and reconstructing gravitational waves from the next Galactic core-collapse supernova in the Advanced Detector Era

Szczepanczyk,

Antelis,

Benjamin

et al. 2021

Preprint

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“…Since the two search configurations overlap in the frequency bands, we combine them in accordance with the rules explained in Table 1 of Ref. [20].…”

Section: A Coherent Waveburstmentioning

confidence: 99%

“…More recently, cWB contributed in the identification of higher multipoles for GW190814 [18], an event associated with the coalescence of a binary system with the most unequal mass ratio yet measured with gravitational waves. cWB was also instrumental to the first direct detection of an intermediate mass black hole (IMBH) GW190521 [19,20], which is the most massive and distant black hole merger observed via GWs. Overall, the cWB pipeline has contributed to the detection of 32 BBH events in the O1, O2, and O3 observing runs [3,4,6].…”

Section: Introductionmentioning

confidence: 99%

Search for binary black hole mergers in the third observing run of Advanced LIGO-Virgo using coherent WaveBurst enhanced with machine learning

Mishra,

O'Brien,

Szczepanczyk

et al. 2022

Preprint

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In this work, we use the coherent WaveBurst (cWB) pipeline enhanced with machine learning (ML) to search for binary black hole (BBH) mergers in the Advanced LIGO-Virgo strain data from the third observing run (O3). We detect, with equivalent or higher significance, all gravitationalwave (GW) events previously reported by the standard cWB search for BBH mergers in the third GW Transient Catalog (GWTC-3). The ML-enhanced cWB search identifies five additional GW candidate events from the catalog that were previously missed by the standard cWB search. Moreover, we identify three marginal candidate events not listed in GWTC-3. For simulated events distributed uniformly in a fiducial volume, we improve the detection efficiency with respect to the standard cWB search by approximately 20% for both stellar-mass and intermediate mass black hole binary mergers, detected with a false-alarm rate less than 1 yr −1 . We show the robustness of the ML-enhanced search for detection of generic BBH signals by reporting increased sensitivity to the spin-precessing and eccentric BBH events as compared to the standard cWB search. Furthermore, we compare the improvement of the ML-enhanced cWB search for different detector networks.

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“…Instead, the cWB algorithm is model independent, which makes it a valuable tool in the search for poorly modeled or unexpected GW sources. cWB played an integral role in the discovery of the first BBH merger GW150914 [1] and, more recently, in the first direct detection of an intermediate mass black hole (IMBH) GW190521 [9,10]. Also, cWB has contributed to the detection of 22 BBH events in the O1, O2, and O3a observing runs [4,5].…”

Section: Introductionmentioning

confidence: 99%

Optimization of model independent gravitational wave search using machine learning

Mishra,

O'Brien,

Gayathri

et al. 2021

Preprint

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The Coherent WaveBurst (cWB) search algorithm identifies generic gravitational wave (GW) signals in the LIGO-Virgo strain data. We propose a machine learning (ML) method to optimize the pipeline sensitivity to the special class of GW signals known as binary black hole (BBH) mergers. Here, we test the ML-enhanced cWB search on strain data from the first and second observing runs of Advanced LIGO and successfully recover all BBH events previously reported by cWB, with higher significance. For simulated events found with a false alarm rate less than 1 yr −1 , we demonstrate the improvement in the detection efficiency of 26% for stellar-mass BBH mergers and 16% for intermediate mass black hole binary mergers. To demonstrate the robustness of the ML-enhanced search for the detection of generic BBH signals, we show that it has the increased sensitivity to the spin precessing or eccentric BBH events, even when trained on simulated quasi-circular BBH events with aligned spins.

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Observing an intermediate mass black hole GW190521 with minimal assumptions

Cited by 8 publications

References 36 publications

Detecting and reconstructing gravitational waves from the next Galactic core-collapse supernova in the Advanced Detector Era

Detecting and reconstructing gravitational waves from the next Galactic core-collapse supernova in the Advanced Detector Era

Search for binary black hole mergers in the third observing run of Advanced LIGO-Virgo using coherent WaveBurst enhanced with machine learning

Optimization of model independent gravitational wave search using machine learning

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