Astrophysics · Physics & Astronomy
Instrumentation & Methods for Astrophysics
The newest papers in Instrumentation & Methods for Astrophysics that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
202 papers, from 6 September 2026 to 5 November 2026: 202 arXiv preprints.
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Newest papers, page 9
PTED: A multi-dimensional two-sample test for scientific inference and generative machine learning
Two-sample tests are widely applicable in inference and generative modelling, yet users frequently fall back on heuristics and visual inspection due to lack of an accessible test that operates in…Improving Lens Modelling from Ground-Based Imaging with Deconvolution
Accurate and precise mass modelling of strong lensing systems is essential for extracting insights into cosmology, galaxy environments, and the nature of dark matter.MATISSE in the era of GRAVITY+
MATISSE, the mid-infrared spectro-interferometric imager of the Very Large Telescope Interferometer (VLTI), has been feeding on the light corrected by the GRAVITY+ Adaptive Optics (GPAO) systems…The 2MIG isolated AGNs -- 4. Linking hot-dust reverberation to spectroscopically predicted BLR scales in IC~5287 and Mrk~845
We investigate the relation between directly measured hot-dust reverberation scales and spectroscopically predicted broad-line region (BLR) scales in the isolated Seyfert galaxies IC~5287 and…Source--Line Associations in JWST/NIRSpec Dense-Shutter Spectroscopy
We demonstrate the feasibility of source--line association in JWST/NIRSpec dense-shutter spectroscopy, with $\sim$2000 sources observed simultaneously per pointing regardless of spectral overlap.Reconstructing Implicit Scientific Knowledge: Evaluating LLM Agents through End-to-End Reproduction of Astronomy
The integration of large language models (LLMs) into scientific workflows is accelerating, yet their ability to reconstruct the reasoning underlying published research remains unexplored.Discovery of over a thousand variable stars in Terzan 5 and Liller 1 with JWST
The Bulge Fossil Fragments Terzan 5 and Liller 1 host some of the densest stellar environments in the Galaxy, yet their variable star populations have remained largely unexplored due to crowding and…Low Frequency Gravitational Wave Detection with Gravito-Magnetism
The detection of gravitational waves in the low-frequency band (10 nHz to 1 micro-Hz) using inner solar system proof masses is severely limited by Newtonian gravity gradient noise (GGN) sourced by…SIFARI: Self-Supervised Interferometric Fitting for Astronomical Radio Imaging
Radio-interferometric images are reconstructed from sparsely sampled visibilities, and CLEAN-based imaging can struggle with spatial filtering, complex morphologies, and uncertainty quantification.GameDev: GPU-accelerated model for dust evolution
Grain growth and fragmentation through dust collisions in protoplanetary disks are strongly coupled with dust dynamics.Synthesis of organo-phosphorous species in space: the reaction of P$^+$ with C$_2$H$_2$
Despite its low cosmic abundance, phosphorus is a bioessential element whose prebiotic availability and incorporation into biomolecules remain open questions.A Probabilistic Method for Estimating VLBI Jet-Component Ejection Epochs. Application to MOJAVE 15 GHz VLBA Kinematics
Ejection epochs of parsec-scale jet components in active galactic nuclei (AGN), tracked with Very Long Baseline Interferometry (VLBI), are commonly estimated by extrapolating fitted trajectories…The NEMESIS general YSO catalogue - I. Supervised classification with deep learning methods
In modern large-scale surveys, young stellar objects (YSOs) are mostly identified by the infrared excess in their spectral energy distributions (SEDs).MATISSE-py: a high-level Python interface for efficient, automated VLTI/MATISSE data reduction
The Multi AperTure mid-Infrared SpectroScopic Experiment (MATISSE) at the Very Large Telescope Interferometer (VLTI) delivers rich mid-infrared interferometric datasets that are reduced through a…Image Fidelity is Not Field Fidelity: Joint Thermodynamic Reconstruction and Error Localization in Neural Tomography
Neural fields for scientific tomography are optimized from 2D images, but the actual quantity of interest is often a latent 3D physical field.Uber-calibration-based Two-level Radial-velocity Zero-point Correction for APOGEE
APOGEE delivers high-resolution, near-infrared spectroscopy and highly precise radial velocities (RVs), with extensive repeat observations spanning more than a decade.CERIDWEN: Fast and Flexible GPU-Accelerated Stellar Population Inference
JWST has increased both the number of high-redshift galaxies with high-quality spectral energy distributions (SEDs) and their information content.A ready-to-deploy MLOps software platform for satellite and NEO detection at meter-class ground-based observatories
Ground-based astronomical observations frequently contain streaks produced by artificial satellites, space debris, and potentially Near-Earth Objects (NEOs).Differentiable astrophysics at scale: solving and differentiating ODE ensembles on the GPU
Astronomers increasingly fit their models with gradient-based methods, such as Hamiltonian Monte Carlo, which need the derivatives of the model with respect to its parameters.AstroGenesis: A Domain-Specific Multi-Agent AI for Astrophysical Research
Modern astrophysical research requires the integration of rapidly expanding scientific literature, heterogeneous observational data, and increasingly complex physical models.