TopoFisher optimizes trainable filtrations, vectorizations, and compressors in persistent homology to maximize Fisher information, yielding higher information than fixed cosmological summaries and approaching neural baselines with far fewer parameters while generalizing better under simulator shifts
Canonical reference
Weak gravitational lensing , volume=
Canonical reference. 71% of citing Pith papers cite this work as background.
citation-role summary
citation-polarity summary
representative citing papers
The authors derive the fourth-order galaxy-galaxy lensing 4PCF and aperture statistics, implement a numerical pipeline and FFT estimator, and detect the connected ⟨N³ M_ap⟩ signal at SNR ~9 in stage IV mock data over 2000 deg².
Inverting Fisher biases enables quick checks on whether specific systematics explain cosmological tensions.
Exhaustive symbolic regression on mock weak lensing excess surface density data recovers NFW profiles at 5% fractional errors with as few as 20 clusters but favors simpler functions at higher uncertainties because errors are smallest in the outskirts.
Unified framework proves the score function yields the minimum-variance unbiased shear estimator and that response-weighted inverse-variance weights minimize shape noise independent of galaxy shape distributions, with RDSM reducing noise by ~17.5% at LSST depth.
DES Y3 weak lensing analysis with hybrid map-level statistics and simulation-based inference yields S8 = 0.808 ± 0.017, Ωm = 0.325 ± 0.024, and w < -0.766, improving the figure of merit by 60% over prior state-of-the-art.
A denoising diffusion model trained on transformed JWST observations generates multi-band galaxy images that match key statistical properties of real galaxies for Roman weak lensing simulations.
New JWST pure-parallel imaging over 400 arcmin² yields UV luminosity functions at z~7.5-10 consistent with pre-JWST models and significant clustering of bright galaxies implying they occupy more massive halos than previously modeled.
A new stepwise 2D tracing method resolves inconsistencies in weak-lensing detection of curved intracluster filaments in Abell 2744 that global matched-filter scans cannot handle.
Weak-lensing analysis of Abell 85 resolves three substructures and finds a ~2:1 mass ratio between the main cluster and southern subcluster, indicating a major ongoing merger.
ARCH introduces a staged optimization pipeline for joint shear-flexion gravitational lensing reconstruction that recovers cluster and subcluster masses consistent with prior weak+strong lensing results on Abell 2744 and El Gordo.
AnaCal recovers input shear with low bias in high-shear cluster regimes under LSST-like conditions, producing 0.24% mean mass bias.
N-body simulations of a massive binary black hole in Leo I find orbital hardening to 1 pc followed by stalling due to the final parsec problem, with merger unlikely in a Hubble time owing to low stellar and dark matter densities.
The paper reviews standard derivations of light deflection in curved spacetime and presents a unified geometric approach for static and rotating gravitational fields.
citing papers explorer
-
Constraining dark matter halo profiles with symbolic regression
Exhaustive symbolic regression on mock weak lensing excess surface density data recovers NFW profiles at 5% fractional errors with as few as 20 clusters but favors simpler functions at higher uncertainties because errors are smallest in the outskirts.
-
Weak-Lensing Analysis of the Galaxy Cluster Abell 85: Constraints on the Merger Scenarios of Its Southern Subcluster
Weak-lensing analysis of Abell 85 resolves three substructures and finds a ~2:1 mass ratio between the main cluster and southern subcluster, indicating a major ongoing merger.
-
Adaptive Reconstruction of Cluster Halos (ARCH): Integrating Shear and Flexion for Substructure Detection
ARCH introduces a staged optimization pipeline for joint shear-flexion gravitational lensing reconstruction that recovers cluster and subcluster masses consistent with prior weak+strong lensing results on Abell 2744 and El Gordo.