Instrumentation & methods
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- Information limits of photonic lantern wavefront sensing: a Fisher- and quantum-Fisher-information framework and its relation to Fourier-filtering sensitivity limits
- Graph neural networks for exoplanet atmospheres
- Quantifying the temperature-dependent yields of N2 and N2H4 formation in vacuum-ultraviolet-irradiated NH3 ice
- Pulsed ion deflection to overcome detector saturation in cryogenic ice sampling
- Massively parallel transdimensional sampling with data assimilation: an application to LISA galactic binaries
- The OpenGadget3 Code for Cosmological Simulations
- Rethinking Domain Specialization for Open-Ended Scientific Reasoning in Astronomy Language Models
- IViS: Interferometric Visibility-domain inversion Software - A GPU-accelerated Python framework for joint deconvolution with ASKAP
- RoverDevKit: An open, physics-grounded tradespace toolkit for conceptual design of lunar micro-rovers
- A Partially Supervised Latent-Space Variational Autoencoder for Generating Neutron Star Equations of State
- Assessing ionospheric effects on image quality in the LOFAR Decametre Sky Survey
- DewTwin-Coin: an onboard autonomous framework for lunar water-ice prospecting using Chandrayaan-3 LIBS and ChaSTE data
- Characterization of IBEX LmAPD detectors at CEA for future low-noise NIR astronomy instruments
- A fast radio burst from a non-targeted low-frequency survey
- PyExoCross 2.0: A Python Framework for LTE and non-LTE Spectra, Cross Sections, and Spectroscopic Post-processing of Atomic and Molecular Line Lists
- Count-based spectral component imaging (CCI) of solar flares in X-rays
- Determining elemental composition in laboratory meteorite ablation spectra through radiative transfer modeling
- Optimal exposure time for satellite imaging? A trade-off between residual tip-tilt and registration accuracy
- Hardware-efficient neural networks for FPGA-based radio triggering of extensive air showers
- Design of an atmospheric dispersion corrector and double scrambler for improved fiber coupling and illumination uniformity for the HET HRS
- DANSur_HM: Modularly incorporating higher modes in a deep learning based gravitational-wave surrogate
- Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data
- Scalable Dark Siren Cosmology with gwcosmo: GPU Acceleration, Validation and Systematics
- Optimising instrument concepts with Machine Learning: Application to CMB spectral distortion experiments
- B-sure. Part II. Scattering transforms as robustness test for tensor-to-scalar ratio detection from CMB observations