Topics / Instrumentation and Methods for Astrophysics
Weekly issue
Instrumentation and Methods for Astrophysics Papers of the Week
The top Instrumentation and Methods for Astrophysics papers of the week: the 20 most important new papers of the past week, ranked by potential impact. A new issue comes out every Monday, covering the previous Monday-to-Sunday week.
- 1First-principles Calculations of Far-wing Absorption in He-broadened CO2 Infrared Spectra
We report theoretical predictions and modeling of the far-wing absorption of CO2 broadened by He over a wide temperature range (200-1000 K), which are relevant for exoplanet atmosphere studies.
- 2Tensor Networks for Block Adaptive Thermal Radiation Transport
This paper introduces a framework for combining block-adaptive mesh refinement with block-local tensor-train representations of the photon specific intensity.
- 3Unveiling The Origins of Local Group Galaxies with ELT-SHARP: An Overview of Science Cases
We propose science cases exploiting \textsc{SHARP}, a multi-mode near-infrared spectrograph for Extremely Large Telescopes and future space facilities.
- 4First Broadband Search for Fixed-polarization Dark Photon Dark Matter with GigaBREAD
We present the first search for fixed-polarization dark photon (DP) dark matter in the 44-52$\mu\mathrm{eV}$ mass range, corresponding to 10.7-12.5GHz.
- 5Learned Surrogates of Three-Dimensional Magnetohydrodynamic Turbulence
We present, to our knowledge, the first learned surrogates of three-dimensional resistive MHD turbulence, and compare three standard backbones in that role: a convolutional UNet, a shifted-window transformer and a Fourier neural operator.
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Follow this category- 6The Transient Array Radio Telescope: An Open-source All-sky Imaging Radio Interferometer
This paper introduces the physical architecture of the TART, describes it's electronics, radios, correlator, and the design of the antenna array.
- 7MP-DualNet: A Dual-Branch Deep Learning Approach for Magnetopause Boundary Detection Using Simulated SXI Images
In this study, we develop MP-DualNet, an end-to-end dual-branch deep learning framework for automated magnetopause detection from simulated SXI observations.
- 8COSMIO: A Benchmark for Cross-Survey Modality Imputation
This setting gives rise to a natural machine learning problem: given observations of an object in some surveys, how to infer its appearance in other surveys. We formalize this as the problem of cross-survey modality imputation and introduce COSMIO, a multi-survey benchmark of aligned observations obtained by forward-rendered shared astrophysical scenes across LSST, Euclid, and Roman under survey-specific instrument characteristics.
- 9A Unified AI Framework for Rapid and Accurate Waveform Generation of Compact Binary Coalescences
We develop a unified framework that combines physical modeling with deep learning.
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- 11FiDeR: Denoising Astronomical Images at The Observational Resolution
We present Finite-iteration Deconvolution--Reconvolution Denoising (FiDeR), a method for reducing noise in astronomical images while retaining approximately the input point-spread function (PSF).
- 12Fitting Resonant Exoplanets Orbits. I. Properties and Applications of Fixed-Point Orbits
We determine the best-fitting fPos through $\chi^2$ minimization and apply the method to astrometric data for the directly imaged PDS 70 and HR 8799 systems and to radial-velocity data for GJ 876.
- 13From Rock Tumbling to Telescope Mirror Grinding: How Optical Perfection Emerges from Random Motion
Starting from Preston's law of material removal, we derive a first-principles explanation.
- 14Prospects for Detecting Hot-Jupiter Tidal Decay Through Transit Timing with The Mission Earth 2.0
In this work, we aim to assess the capability of ET to detect orbital decay in hot Jupiters previously observed by Kepler.
- 15A Theory of Partial Truth for Scientific Statements
This paper develops a restricted formal framework for estimating partial factual truth.
- 16Aperture Photometric Accuracy of Point-spread-function-deconvolved Astronomical Images
This paper introduces an improved Richardson--Lucy (RL) framework utilizing negative backfilling (NB) and the novel filtered image deconvolution and noise backfilling (FiDNoBa) algorithm.
- 17Signature of Exocomet Transits Observed with Ariel
We investigate the potential of the Ariel space telescope to detect and characterise exocomet transits through their wavelength-dependent photometric signatures.
- 18A Semi-autonomous Multi-agent Pipeline for High-energy Astrophysics Research with Enforced Provenance and Verifiable Self-extension
We present auto_research, a semi-autonomous multi-agent pipeline that retrieves and analyses raw data from the High Energy Astrophysics Science Archive Research Center (HEASARC) and writes the analysis tools that it needs.
- 19Statistical Modeling of Foreground Galactic Cirrus for Diffuse Halo Light Measurement
We develop a statistical approach to reconstruct the 2D distribution of the Galactic cirrus while preserving the underlying diffuse extragalactic emission from stellar halos.
- 20Measuring The Gas Mass of The Protoplanetary Disk Around HD 179218 with CO Isotopologues
We present ALMA and NOEMA observations of six CO isotopologue lines ($^{13}$CO, C$^{18}$O, and C$^{17}$O, $J$=2--1 and 1--0).