Contrastive self-supervised convolutional autoencoder for core-collapse supernova gravitational-wave detection
Fuente:
arXiv
Saved in:
| Main Authors: | Sun, Tian-Yang, Niu, Yue, Jiang, Chun-Yan, Jin, Shang-Jie, Yuan, Yong, Zhang, Xin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Factorized neural posterior estimation for rapid and reliable inference of parameterized post-Einsteinian deviation parameters in gravitational waves
by: Zhang, Yong-Xin, et al.
Published: (2026)
by: Zhang, Yong-Xin, et al.
Published: (2026)
Assessing the robustness of amortized simulation-based inference to transient noise in gravitational-wave ringdowns
by: Liu, Song-Tao, et al.
Published: (2026)
by: Liu, Song-Tao, et al.
Published: (2026)
Efficient parameter inference for gravitational wave signals in the presence of transient noises using temporal and time-spectral fusion normalizing flow
by: Sun, Tian-Yang, et al.
Published: (2023)
by: Sun, Tian-Yang, et al.
Published: (2023)
Conditional variational autoencoders for cosmological model discrimination and anomaly detection in cosmic microwave background power spectra
by: Sun, Tian-Yang, et al.
Published: (2025)
by: Sun, Tian-Yang, et al.
Published: (2025)
Robust inference of gravitational wave source parameters in the presence of noise transients using normalizing flows
by: Xiong, Chun-Yu, et al.
Published: (2024)
by: Xiong, Chun-Yu, et al.
Published: (2024)
Prospects for gravitational wave and ultra-light dark matter detection with binary resonances beyond the secular approximation
by: Foster, Joshua W., et al.
Published: (2025)
by: Foster, Joshua W., et al.
Published: (2025)
Prospects for Taiji to detect a gravitational-wave background from cosmic strings
by: Chen, Zu-Cheng, et al.
Published: (2023)
by: Chen, Zu-Cheng, et al.
Published: (2023)
GWSpace: a multi-mission science data simulator for space-based gravitational wave detection
by: Li, En-Kun, et al.
Published: (2023)
by: Li, En-Kun, et al.
Published: (2023)
An interference-based method for the detection of strongly lensed gravitational waves
by: Shan, Xikai, et al.
Published: (2023)
by: Shan, Xikai, et al.
Published: (2023)
Simulation-based inference for stochastic gravitational wave background data analysis
by: Alvey, James, et al.
Published: (2023)
by: Alvey, James, et al.
Published: (2023)
Photometric classification of supernovae detected by the Zwicky Transient Facility using noise augmentation
by: Townsend, A., et al.
Published: (2026)
by: Townsend, A., et al.
Published: (2026)
Detecting gravitational wave background with equivalent configurations in the network of space based optical lattice clocks
by: Lou, Mingzhi, et al.
Published: (2026)
by: Lou, Mingzhi, et al.
Published: (2026)
Search for exotic gravitational wave signals beyond general relativity using deep learning
by: Wang, Yu-Xin, et al.
Published: (2024)
by: Wang, Yu-Xin, et al.
Published: (2024)
Euclid: Searches for strong gravitational lenses using convolutional neural nets in Early Release Observations of the Perseus field
by: Pearce-Casey, R., et al.
Published: (2024)
by: Pearce-Casey, R., et al.
Published: (2024)
Parameter inference of millilensed gravitational waves using neural spline flows
by: Qin, Zheng, et al.
Published: (2025)
by: Qin, Zheng, et al.
Published: (2025)
Enhancing dark siren cosmology through multi-band gravitational wave synergetic observations
by: Dong, Yue-Yan, et al.
Published: (2024)
by: Dong, Yue-Yan, et al.
Published: (2024)
Relic gravitational waves from primordial gravitational collapses
by: Zeng, Xiang-Xi, et al.
Published: (2025)
by: Zeng, Xiang-Xi, et al.
Published: (2025)
On networks of space-based gravitational-wave detectors
by: Cai, Rong-Gen, et al.
Published: (2023)
by: Cai, Rong-Gen, et al.
Published: (2023)
Sensitivity to anisotropic stochastic gravitational-wave background with space-borne networks
by: Liang, Zheng-Cheng, et al.
Published: (2023)
by: Liang, Zheng-Cheng, et al.
Published: (2023)
Measuring gravitational wave memory with LISA
by: Inchauspé, Henri, et al.
Published: (2024)
by: Inchauspé, Henri, et al.
Published: (2024)
Rapid identification of time-frequency domain gravitational wave signals from binary black holes using deep learning
by: Wang, Yu-Xin, et al.
Published: (2023)
by: Wang, Yu-Xin, et al.
Published: (2023)
One never walks alone: the effect of the perturber population on subhalo measurements in strong gravitational lenses
by: Coogan, Adam, et al.
Published: (2022)
by: Coogan, Adam, et al.
Published: (2022)
Deeper detection limits in astronomical imaging using self-supervised spatiotemporal denoising
by: Guo, Yuduo, et al.
Published: (2026)
by: Guo, Yuduo, et al.
Published: (2026)
A comprehensive forecast for cosmological parameter estimation using joint observations of gravitational waves and short $γ$-ray bursts
by: Han, Tao, et al.
Published: (2023)
by: Han, Tao, et al.
Published: (2023)
Prospects for probing the interaction between dark energy and dark matter using gravitational-wave dark sirens with neutron star tidal deformation
by: Li, Tian-Nuo, et al.
Published: (2023)
by: Li, Tian-Nuo, et al.
Published: (2023)
Wave effect of gravitational waves intersected with a microlens field II: an adaptive hierarchical tree algorithm and population study
by: Shan, Xikai, et al.
Published: (2024)
by: Shan, Xikai, et al.
Published: (2024)
JAX-bandflux: differentiable supernovae SALT modelling for cosmological analysis on GPUs
by: Leeney, Samuel Alan Kossoff
Published: (2025)
by: Leeney, Samuel Alan Kossoff
Published: (2025)
Photometry is all you need: supernova classification as a mixing problem
by: Uzsoy, Ana Sofía M., et al.
Published: (2026)
by: Uzsoy, Ana Sofía M., et al.
Published: (2026)
Euclid Quick Data Release (Q1). Searching for giant gravitational arcs in galaxy clusters with mask region-based convolutional neural networks
by: Euclid Collaboration, et al.
Published: (2025)
by: Euclid Collaboration, et al.
Published: (2025)
Cosmic Cartography II: completing galaxy catalogs for gravitational-wave cosmology
by: Leyde, Konstantin, et al.
Published: (2025)
by: Leyde, Konstantin, et al.
Published: (2025)
Probing the galactic and extragalactic gravitational wave backgrounds with space-based interferometers
by: Mentasti, Giorgio, et al.
Published: (2023)
by: Mentasti, Giorgio, et al.
Published: (2023)
GraviBERT: Transformer-based inference for gravitational-wave time series
by: Benedikt, Martin, et al.
Published: (2025)
by: Benedikt, Martin, et al.
Published: (2025)
Popcorn in the sky: Identifying primordial black holes in the gravitational-wave background
by: Bagui, Eleni, et al.
Published: (2026)
by: Bagui, Eleni, et al.
Published: (2026)
Prospects of the multi-channel photometric survey telescope in the cosmological application of Type Ia supernovae
by: Wang, Zhenyu, et al.
Published: (2024)
by: Wang, Zhenyu, et al.
Published: (2024)
Recovering cosmological parameters from the mock gravitational wave data of the Einstein Telescope
by: Roy, Pinaki, et al.
Published: (2026)
by: Roy, Pinaki, et al.
Published: (2026)
Searching for a waveform-agnostic gravitational wave signal in pulsar timing arrays
by: Deng, Heling, et al.
Published: (2026)
by: Deng, Heling, et al.
Published: (2026)
Impact of correlated noise on the reconstruction of the stochastic gravitational wave background with Einstein Telescope
by: Caporali, Ilaria, et al.
Published: (2025)
by: Caporali, Ilaria, et al.
Published: (2025)
Analytical results for the power-law sensitivity curve of stochastic gravitational-wave backgrounds
by: Belgacem, Enis
Published: (2025)
by: Belgacem, Enis
Published: (2025)
Eccentricity enables the earliest warning and localization of gravitational waves with ground-based detectors
by: Yang, Tao, et al.
Published: (2023)
by: Yang, Tao, et al.
Published: (2023)
Novel high-frequency gravitational waves detection with split cavity
by: Gao, Chu-Tian, et al.
Published: (2023)
by: Gao, Chu-Tian, et al.
Published: (2023)
Similar Items
-
Factorized neural posterior estimation for rapid and reliable inference of parameterized post-Einsteinian deviation parameters in gravitational waves
by: Zhang, Yong-Xin, et al.
Published: (2026) -
Assessing the robustness of amortized simulation-based inference to transient noise in gravitational-wave ringdowns
by: Liu, Song-Tao, et al.
Published: (2026) -
Efficient parameter inference for gravitational wave signals in the presence of transient noises using temporal and time-spectral fusion normalizing flow
by: Sun, Tian-Yang, et al.
Published: (2023) -
Conditional variational autoencoders for cosmological model discrimination and anomaly detection in cosmic microwave background power spectra
by: Sun, Tian-Yang, et al.
Published: (2025) -
Robust inference of gravitational wave source parameters in the presence of noise transients using normalizing flows
by: Xiong, Chun-Yu, et al.
Published: (2024)