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UltraNest -- a robust, general purpose Bayesian inference engine
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UltraNest is a general-purpose Bayesian inference package for parameter estimation and model comparison. It allows fitting arbitrary models specified as likelihood functions written in Python, C, C++, Fortran, Julia or R. With a focus on correctness and speed (in that order), UltraNest is especially useful for multi-modal or non-Gaussian parameter spaces, computational expensive models, in robust pipelines. Parallelisation to computing clusters and resuming incomplete runs is available.
Forward citations
Cited by 10 Pith papers
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GPU-Accelerated X-ray Pulse Profile Modeling
First public GPU-accelerated pulse-profile modeling code for X-ray millisecond pulsars that delivers 10^3–10^4 speedups to 2–5 ms per evaluation at 10^{-3} relative accuracy and removes an interpolation bias in atmosp...
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A linear PDF model for Bayesian inference
Presents a linear PDF parametrization from dimensionality-reduced neural network bases for efficient Bayesian inference, tested via multi-closure tests on synthetic deep inelastic scattering data.
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An intrinsic decline of accretion activity in GRS 1915+105
Deep X-ray, radio, and infrared non-detections of GRS 1915+105 imply an intrinsic decline in accretion activity rather than enhanced obscuration, likely driven by 2023-2024 outflows clearing the inner disc.
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Constraining Neutrino Mass with the Void Weak Lensing Effect
Simulations of void-shear cross-correlation demonstrate that void lensing can constrain total neutrino mass to σ(M_ν)=0.096 eV without shape noise and 0.340 eV with Stage-III-like noise.
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X-ray luminosity function of Compton-thick AGN in the early Universe (z > 3). Robustness and biases of the CTK population
After applying IR-informed priors to X-ray NH posteriors in a sample of 811 high-z AGN, CTK sources comprise 17% of the population at 3<z<6 with no significant evolution.
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The Ellis and Baldwin test of the Cosmic Dipole: Exploring the impact of multiple flux density cuts
A multi-bin simultaneous dipole fitting method yields higher Bayes factors than single flux-cut approaches for non-power-law luminosity functions in cosmic dipole measurements.
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Constraints on the baryon density from fast radio bursts using a non-parametric reconstruction of the Hubble parameter
FRB dispersion measures combined with non-parametric H(z) reconstruction yield Ω_b h² = 0.02236 ± 0.00090, agreeing with BBN and Planck CMB to within 0.05%.
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Counting voids and filaments: Betti Curves as a Powerful Probe for Cosmology
Betti curves from persistent homology of large-scale structure provide complementary cosmological constraints on ns, sigma8, and Om, with tighter bounds when analyzed jointly with the power spectrum.
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TransitionListener v2.0 -- Robust gravitational wave predictions for cosmological phase transitions
TransitionListener v2.0 supplies an end-to-end pipeline from scalar potential to gravitational wave spectra with improved handling of transition dynamics and bubble separation.
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An Extreme Scattering Event Toward PSR J2313+4253
Detection and measurement of an extreme scattering event toward PSR J2313+4253 yielding a scattering region at 1.04 kpc distance, 15 AU transverse size, and ~220 day duration.
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