A reference-frequency-independent detection statistic for eccentric binary mergers is introduced and applied to GW200105, yielding ln B ≤ 0.9 in favor of the eccentric aligned-spin model over the quasi-circular precessing model.
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16 Pith papers cite this work. Polarity classification is still indexing.
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No significant GeV emission from 223 SLSNe constrains GeV-to-optical efficiency to η < 1.3×10^{-3}, with <0.7% of events allowed above 10^{-2}; SN 2017egm shows a ~4σ excess favoring magnetar origin while SN 2018bsz does not.
GreyRing model based on greybody factors reproduces numerical relativity ringdown signals with mismatches of order 10^{-6} and enables a new post-merger consistency test of general relativity applied to GW250114.
Presents a practical fully time-domain end-to-end likelihood for gravitational-wave inference with structured linear algebra and GPU acceleration.
Moderately mitigated glitch streams induce negligible to minor biases (0.04–0.6σ) in EMRI parameters while weakly mitigated streams with higher-SNR events can reach ~1σ biases, making EMRI inference more robust than for MBHBs.
A data-driven framework using normalizing flows predicts the rate and kinematic distributions of dark photon and millicharged particle production directly from measured dilepton events.
RHINE emulates r-process heating in NSM hydro simulations via neural networks trained on full nuclear trajectories, achieving <10% agreement with post-processing and boosting BH-torus ejecta mass by 40%.
An E(3)-equivariant graph neural network trained on MAGNDATA experimental structures predicts magnetic orders using a new primitive modulated structure representation that handles commensurate and incommensurate cases uniformly.
A framework is developed to test beyond-GR effects in nanohertz continuous waves from individual SMBHBs, deriving modified inter-pulsar correlations, antenna responses, and phase delays for three deviation classes, validated by injection-recovery simulations showing parameter recovery and no GR bias
MSW resonances in collapsing supermassive stars swap neutrino flavors adiabatically in the normal hierarchy for neutrinos and inverted hierarchy for antineutrinos, altering the initial 5:1 electron-to-muon/tau flux ratio.
Waveform modeling uncertainties can distort features in the binary black hole mass distribution inferred from gravitational-wave data more than statistical uncertainties.
Upper bounds on the dark matter fraction in MACHOs of 10^3 to 10^7 solar masses are derived from limits on distortions to the global 21-cm signal at z~17, z~89, and z>300.
GP15 maps BBH spectrograms to parameter posteriors via residual networks and normalizing flows, producing results consistent with LVK analyses on GWTC-2.1 and GWTC-3 events while running in seconds.
VIGILant applies tree-based models and a ResNet CNN to classify Virgo O3b glitches with 98% accuracy and has been deployed for daily use with an interactive dashboard.
New d(e,e'p) cross section data at Q² = 0.8, 2.1 and 3.5 (GeV/c)² confirm reduced final state interactions at low recoil angles and best agreement with CD-Bonn deuteron wave functions.
The work calculates scalar quasinormal mode spectra for a rotating quantum-corrected black hole and constructs a methodological pipeline to infer the quantum correction parameter from gravitational-wave ringdown data using informative priors.
citing papers explorer
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A universal framework to identify eccentric binary mergers: GW200105 case study
A reference-frequency-independent detection statistic for eccentric binary mergers is introduced and applied to GW200105, yielding ln B ≤ 0.9 in favor of the eccentric aligned-spin model over the quasi-circular precessing model.
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On the Gamma-ray Efficiency of Superluminous Supernovae: Potential Detections and Population-Level Constraints
No significant GeV emission from 223 SLSNe constrains GeV-to-optical efficiency to η < 1.3×10^{-3}, with <0.7% of events allowed above 10^{-2}; SN 2017egm shows a ~4σ excess favoring magnetar origin while SN 2018bsz does not.
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Novel ringdown tests of general relativity with black hole greybody factors
GreyRing model based on greybody factors reproduces numerical relativity ringdown signals with mismatches of order 10^{-6} and enables a new post-merger consistency test of general relativity applied to GW250114.
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Accelerated Time-domain Analysis for Gravitational Wave Astronomy
Presents a practical fully time-domain end-to-end likelihood for gravitational-wave inference with structured linear algebra and GPU acceleration.
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First-time assessment of glitch-induced bias and uncertainty in inference of extreme mass ratio inspirals
Moderately mitigated glitch streams induce negligible to minor biases (0.04–0.6σ) in EMRI parameters while weakly mitigated streams with higher-SNR events can reach ~1σ biases, making EMRI inference more robust than for MBHBs.
-
Data-Driven Predictions for Dark Photon and Millicharged Particle Production
A data-driven framework using normalizing flows predicts the rate and kinematic distributions of dark photon and millicharged particle production directly from measured dilepton events.
-
R-process heating implementation in hydrodynamic simulations with neural networks
RHINE emulates r-process heating in NSM hydro simulations via neural networks trained on full nuclear trajectories, achieving <10% agreement with post-processing and boosting BH-torus ejecta mass by 40%.
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Universal Magnetic Structure Prediction from Atomic Coordinates with Near-Experimental Accuracy
An E(3)-equivariant graph neural network trained on MAGNDATA experimental structures predicts magnetic orders using a new primitive modulated structure representation that handles commensurate and incommensurate cases uniformly.
-
Testing General Relativity with Individual Supermassive Black Hole Binaries
A framework is developed to test beyond-GR effects in nanohertz continuous waves from individual SMBHBs, deriving modified inter-pulsar correlations, antenna responses, and phase delays for three deviation classes, validated by injection-recovery simulations showing parameter recovery and no GR bias
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Neutrino Flavor Transformation in Collapsing Supermassive Objects
MSW resonances in collapsing supermassive stars swap neutrino flavors adiabatically in the normal hierarchy for neutrinos and inverted hierarchy for antineutrinos, altering the initial 5:1 electron-to-muon/tau flux ratio.
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Is the Binary Black Hole Population Inference from Gravitational-Wave Data Robust?
Waveform modeling uncertainties can distort features in the binary black hole mass distribution inferred from gravitational-wave data more than statistical uncertainties.
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Dark ages bounds on non-accreting massive compact halo objects
Upper bounds on the dark matter fraction in MACHOs of 10^3 to 10^7 solar masses are derived from limits on distortions to the global 21-cm signal at z~17, z~89, and z>300.
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Assessment of normalizing flows for parameter estimation on time-frequency representations of gravitational-wave data
GP15 maps BBH spectrograms to parameter posteriors via residual networks and normalizing flows, producing results consistent with LVK analyses on GWTC-2.1 and GWTC-3 events while running in seconds.
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VIGILant: an automatic classification pipeline for glitches in the Virgo detector
VIGILant applies tree-based models and a ResNet CNN to classify Virgo O3b glitches with 98% accuracy and has been deployed for daily use with an interactive dashboard.
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d(e,e'p) Studies of Exclusive Deuteron Electro-Disintegration
New d(e,e'p) cross section data at Q² = 0.8, 2.1 and 3.5 (GeV/c)² confirm reduced final state interactions at low recoil angles and best agreement with CD-Bonn deuteron wave functions.
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The quasinormal modes of the rotating quantum corrected black holes
The work calculates scalar quasinormal mode spectra for a rotating quantum-corrected black hole and constructs a methodological pipeline to infer the quantum correction parameter from gravitational-wave ringdown data using informative priors.