156 papers
This study quantitatively analyzes asymmetric tidal perturbations on the LARES 2 and LAGEOS satellites by identifying 83 significant Earth tide constituents and demonstrating that the cumulative effect of the remaining minor constituents is non-negligible, thereby providing essential parameters for high-precision orbital dynamics and fundamental physics tests like the Lense-Thirring effect.
This paper presents an approximate yet agile modeling framework for analyzing and mitigating spectral and spatial interference fringes in polarimetric instruments, specifically focusing on isotropic materials and uniaxial crystals under the assumption of small birefringence, while validating its accuracy against rigorous methods like Berreman calculus through extensive design examples.
This paper introduces XSNAP, a new open-source Python pipeline for standardized X-ray analysis of supernovae, and applies it to multi-epoch observations of SN 2024ggi to derive a steady progenitor mass-loss rate of .
This paper demonstrates that Model-Agnostic Meta-Learning (MAML) enables a cosmological emulator to rapidly adapt to new redshift distributions with minimal fine-tuning data, significantly outperforming standard single-task and non-pre-trained emulators in both accuracy and the fidelity of cosmological inference constraints.
This paper presents the design, production, and comprehensive optical characterization of novel light-pulse driver circuits and self-monitoring calibration instruments (both directional pulsers and isotropic P-CAL modules) developed for the Pacific Ocean Neutrino Experiment, demonstrating their high-intensity, nanosecond-scale performance and near-perfect optical isotropy through simulations and experimental validation in air and water.
This paper proposes a hybrid deep learning approach that combines matched-filtering concepts with Convolutional Neural Networks to achieve detection efficiency comparable to standard methods while significantly reducing computational costs for future gravitational-wave searches.
This paper introduces a fast, phenomenological method using time-frequency domain energy analysis and Bayesian-inspired sampling to rapidly constrain orbital eccentricity in binary black hole inspirals, demonstrating the ability to achieve estimates within 0.2 of the true value in just five minutes.
This paper develops a perturbative framework extending the Cutler-Vallisneri formalism to derive analytic corrections for timing, phase, and SNR biases caused by power spectral density drift in zero-latency gravitational-wave searches, demonstrating that these corrections are essential to prevent significant sky-localization errors and detection losses when using minimum-phase whitening.
This paper presents a data reduction methodology for the OPTICAM instrument that utilizes a 3×3-pixel median filter to effectively mitigate unpredictable warm pixels in sCMOS detectors, thereby improving photometric precision and Bayesian evidence for multiband transiting exoplanet light curves.
This paper presents a hybrid active anomaly detection framework that integrates a supervised supernova probability score into the PineForest algorithm to significantly enhance the discovery efficiency of supernovae and other rare transients in large-scale time-domain surveys like the Zwicky Transient Facility.
The SpIRIT CubeSat's HERMES instrument successfully demonstrated millisecond-level X-ray timing capabilities by detecting the double-peaked pulse profile of the Crab pulsar, proving that compact CubeSat payloads can achieve high-energy observational performance previously reserved for flagship space observatories.
Using high-resolution simulations, this study reveals that kinetic energy dissipation in subsonic turbulence is vorticity-dominated, localized on small scales, and lags energy injection by approximately 1.64 turnover times, whereas supersonic dissipation is density-correlated, spans multiple scales via shocks and vorticity, and lags by only 0.48 turnover times, with distinct fractal structures identified in both regimes.
This paper reports the first on-sky demonstration of dual-field interferometry at the CHARA Array, which successfully resolved the inner Ba-Bb subsystem of Piscium to determine precise dynamical masses for the near-twin F-type stars and validated the facility's capability for sub-mas astrometry on arcsecond-scale binaries.
This paper presents a data-driven method using Non-negative Matrix Factorization to accurately estimate spectroscopic redshifts for MUSE galaxy spectra with a 93.7% success rate, while also enabling the separation of true sources and detection of blended objects.
This paper proposes a UK-led near-infrared Integral Field Spectrograph to complement the US-led optical arm of the Habitable Worlds Observatory, enabling the comprehensive spectral analysis required to detect unambiguous biosignatures on habitable exoplanets.
This study validates a method for estimating circumsolar sky brightness by demonstrating quantitative agreement between direct coronagraphic measurements and aerosol-inferred radiance at Mauna Loa, thereby enabling multi-decadal analysis of daytime coronal observing conditions using AERONET data.
This paper presents a robust Weighted Polynomial Distortion Correction in 2-Phase (WPDC-2P) method that significantly enhances astrometric precision for the Chinese Space Station Survey Telescope (CSST) by combining distance-based weighting, look-up tables, and polynomial fitting to effectively correct geometric distortions up to 200 pixels, achieving sub-pixel accuracy in both simulated and real-world observations.
This paper presents a multi-layer perceptron model based on The Payne to characterize the instrumental profile of the LAMOST telescope, demonstrating that applying this derived profile to stellar radial velocity measurements reduces dispersion by approximately 3 km/s and thereby enhancing the search for long-period binary stars.
This paper presents an enhanced deep learning framework, POLISH, which utilizes patch-wise training and nonlinear intensity transformations to achieve robust, high-dynamic-range, wide-field radio interferometric imaging, demonstrating its ability to significantly increase the discovery rate of strong gravitational lenses compared to traditional methods.
To overcome queue time limits on the Lomonosov-2 supercomputer that caused premature termination of extensive air shower simulations with Cherenkov light for the SPHERE-3 project, the authors developed and validated a multithreaded parallel version of the CORSIKA code.