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 4
Phakoseismology: Asteroseismology of gravitationally microlensed stars
Asteroseismology relies on disk-integrated photometry or radial velocities, in which geometric cancellation suppresses modes of high spherical degree ($l\geq4$).Solar System Surface Technosignatures: Searching for Signs of Artificial Design on Extraterrestrial Terrain
Artificial radio emissions have historically been a major focus of technosignature searches.Arepo-CD: Coupling Collisional $N$-Body Dynamics with Moving-Mesh Magnetohydrodynamics
Star formation is a hierarchical, clustered process in turbulent giant molecular clouds (GMCs), where close stellar encounters can strongly affect cluster evolution and feedback.PIANISTpy: A JAX-based Python package for velocity-anisotropic astrophysical equilibrium models
The hierarchical assembly of dark matter haloes and galaxies via mergers and anisotropic mass accretion naturally imprints non-trivial velocity anisotropy onto haloes and galaxies, an empirical fact…KROME-X: a GPU-ready library for chemistry and microphysics in astrophysical simulations
KROME is a Python pre-processor that writes a complete Fortran solver of chemistry and microphysics for each chemical network, widely used in astrophysical simulations.SIGNN++: Robust Graph Neural Star Identification on Earth
We present SIGNN++, a learning-based star identification (SID) framework for celestial navigation in GNSS-denied nighttime environments.HyQ-LC: Improving Light-Curve Classification with Hybrid Quantum--Classical Learning
Light curves reveal stellar variability and support studies of stellar evolution and cosmic distances.Searching for lensed gravitational waves with unlensed templates
Gravitational lensing can split the signal of a binary merger into two images, which either overlap and interfere or arrive as separate events.Graph Neural Networks for Astrophysics and Cosmology
Physics seldom makes breakthroughs when we consider objects only in isolation.AI and The Enclosure of the Scientific Commons
The scientific literature can be viewed as an "information commons:" an intangible resource that "no one owns and is shared by everyone.J-PLUS: Identifying Outlier Spectral Energy Distributions in the Fourth Data Release Using Unsupervised Machine Learning
The selection of candidates belonging to rare or underrepresented stellar populations, as well as novel objects, is essential for spectroscopic follow-up.Reading Between the Lines: How Much Information Remains After Fitting a Stellar Spectrum?
What if we could model 100% of a stellar spectrum?Gaia in Technicolor. I. A Simple Variability-Encoded Color-Magnitude Diagram
The Hertzsprung-Russell diagram is one of the most important tools in stellar astrophysics.Seeing Through the RFI Mask: DT-FISTA Inpainting of Pulsar Dynamic Spectra via Fourier Sparsity
Radio frequency interference (RFI) frequently contaminates radio observations, and excising affected samples leaves masked regions in sampled images.Extended J-band spectroscopy of red supergiants: parameter identifiability and metallicity robustness
Red supergiants (RSGs) provide a near-infrared metallicity diagnostic complementary to optical hot-supergiant spectroscopy, but their low-resolution extragalactic use requires tests of parameter…Analysis of Binary O-type Star Systems Using Recurrent Neural Networks
This work presents an initial analysis of the estimation of effective temperature and surface gravity for simulated O-type binary systems using a recurrent neural network.Displacement-noise-free gravitational-wave detector using quantum tomography of photon orbital angular momentum states
Gravitational waves (GWs) induce quantum transitions between photon orbital-angular-momentum (OAM) states with amplitudes $α_{\pm}$.A machine-learning-driven dataset of 144,111 polycyclic aromatic hydrocarbon infrared spectra for interpreting aromatic infrared bands
The interpretation of interstellar aromatic infrared bands (AIBs) relies on reference spectral libraries, but the chemical space covered by existing databases remains incomplete relative to the vast…The Birth and Early Feedback of Massive Star Clusters Across the Local Universe
Young massive star clusters (YMCs; ${\gtrsim}10^4\rm\,M_\odot$) represent a distinct, extreme mode of star formation and the closest present-day analogues of the environments in which globular…Unveiling star formation at sub-solar metallicity with ALMA2040
A fundamental question in astrophysics is whether the processes governing star formation are universal or depend on the physical conditions of their local galactic environment.