The first informative astrophysical calibration of gravitational-wave detectors is reported using GW240925 and GW250207.
hub Mixed citations
Array Programming with NumPy
Mixed citation behavior. Most common role is method (50%).
62
Pith papers citing it
Method
50% of classified citations
abstract
Array programming provides a powerful, compact, expressive syntax for accessing, manipulating, and operating on data in vectors, matrices, and higher-dimensional arrays. NumPy is the primary array programming library for the Python language. It plays an essential role in research analysis pipelines in fields as diverse as physics, chemistry, astronomy, geoscience, biology, psychology, material science, engineering, finance, and economics. For example, in astronomy, NumPy was an important part of the software stack used in the discovery of gravitational waves and the first imaging of a black hole. Here we show how a few fundamental array concepts lead to a simple and powerful programming paradigm for organizing, exploring, and analyzing scientific data. NumPy is the foundation upon which the entire scientific Python universe is constructed. It is so pervasive that several projects, targeting audiences with specialized needs, have developed their own NumPy-like interfaces and array objects. Because of its central position in the ecosystem, NumPy increasingly plays the role of an interoperability layer between these new array computation libraries.
hub tools
citation-role summary
method 8
background 3
other 3
citation-polarity summary
representative citing papers
Future microhertz detections combined with nanohertz pulsar terms can serve as gravity echoes to measure supermassive black hole binary inspiral rates from hundreds to thousands of years in the past.
Native-resolution retrievals on 0.97-5.27 micron JWST spectra of VHS 1256 b find a ~79% cloud deck, solar-like metallicity and C/O, and depleted 18O in a partially cloudy disequilibrium atmosphere.
A gauge-equivariant diffusion model samples Schwinger model configurations, yielding unbiased observables matching MCMC and qualitatively less topological freezing than HMC.
TNG50 stellar disks are grouped into four j-types from sAM surface density maps, revealing a redshift-dependent sequence from irregular to barred forms driven by gas content and V/σ.
A Runge-Kutta-Gegenbauer super-time-stepping method for stable, efficient handling of anisotropic non-ideal MHD diffusion.
Bayesian analysis of GW230627 and GW250114 finds no deviation from GR at 4PN and 4.5PN orders, setting the first empirical baseline with 90% intervals of order O(1)-O(10).
Nonthermal line broadening at solar flare footpoints is primarily field-aligned, demonstrated by systematic decrease in line widths from disk center to limb across 4,593 Hinode/EIS spectra from 407 flares.
Ram-pressure suppression of interface folding in fast-cooling TRMLs produces Ė_cool ∝ Da^{1/4} scaling.
The resolution independence of cooling rates in TRML simulations is an artifact of opposing numerical effects with no physical basis, and phase structure converges only when the turbulent Field length (where eddy turnover time equals cooling time) is resolved.
High-resolution M-band spectroscopy detects super-stellar SiO in TWA 5 B, implying no significant magnesium-silicate clouds and formation consistent with core accretion beyond the CO snowline or gravitational instability with solid enrichment.
Deep interferometric observations of a z≈1.12 barred spiral reveal bar-driven molecular inflows at a rate matching the galaxy's star formation rate of ~36 M⊙/yr.
The causal bootstrap computes rigorous bounds on smeared spectral functions from non-perturbative Euclidean data by optimizing over the convex set of compatible positive spectral densities and reducing dual problems to semidefinite programs for certain kernels.
Introduces a generalized fast framework for modeling interaction-powered transients with arbitrary CSM profiles and multi-wavelength outputs.
A new neural quantum state ansatz for bosons in the grand canonical ensemble achieves competitive variational energies in 1D and 2D systems and provides access to one-body reduced density matrices.
Galaxy pairwise peculiar velocities from Cosmicflows-4 yield M_ν = 0.24^{+0.34}_{-0.18} eV and η² = 2.14^{+0.30}_{-0.32} (7σ non-zero asymmetry) in the CMB framework, consistent with prior Planck results.
Solar tachocline production of symmetrons yields a keV-scale flux at Earth whose absorption in xenon detectors provides new complementary bounds on symmetron parameter space.
PlotChain benchmark reports top MLLMs reaching ~80% field-level accuracy on engineering plot reading under human-like tolerances, but with persistent failures on frequency-domain tasks like bandpass and FFT spectra.
FLAMINGO simulation analysis shows IA amplitude for LRGs depends on halo assembly history and exhibits redshift evolution beyond mass effects, yielding an empirical mass-redshift model.
COLIBRE simulations find the galaxy gas-phase MZR already in place at z≈10 with little evolution until z≈5, then shallowens at low z, with high-mass turnover set by AGN feedback and low-mass end by core-collapse supernovae.
CNN emulator for decaying magnetic field fast-cooling synchrotron spectra is trained on synthetic data and used in Bayesian fits to GRB 231020A, favoring the decaying-field model over the standard version.
Serendipitous discovery of a bound nine-member protostellar system in NGC 6334-43 formed by filament fragmentation, with outflows from two sources and virial masses derived for three cores.
21cmEMUv3 emulates the cylindrical 21cm power spectrum via score-based diffusion and six other 21cmFAST observables via LSTM networks at sub-percent accuracy, then uses the emulator to infer a lower limit on soft-band X-ray luminosity from HERA data.
RooAgent provides an LLM agent interface that translates natural-language prompts into calls to PyROOT analysis functions for high energy physics tasks, with support for multiple AI backends and tested on ZH simulations and ATLAS open data.
citing papers explorer
-
PlotChain: Deterministic Checkpointed Evaluation of Multimodal LLMs on Engineering Plot Reading
PlotChain benchmark reports top MLLMs reaching ~80% field-level accuracy on engineering plot reading under human-like tolerances, but with persistent failures on frequency-domain tasks like bandpass and FFT spectra.