First spectrotomographic weak lensing measurements on A1767 and A2065 with HSC data yield shear signals consistent with dynamical masses.
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Filter-substrate refraction causes dominant lateral shifts yielding 0.3-0.4% PSF size and ellipticity residuals across most Roman bands that exceed weak lensing requirements by an order of magnitude, while longitudinal defocus shifts remain negligible.
Inverting Fisher biases enables quick checks on whether specific systematics explain cosmological tensions.
A generalized Chaplygin-type solid unifies dark matter and dark energy via an early pressureless phase transitioning to a late solid phase that supports acceleration and produces distinct low-redshift perturbation signatures.
GalSBI extended with optimal transport subhalo matching and SBI to forward-model galaxy population plus clustering, validated against DES Y3 and HSC data with public code release.
Field-level inference from weak lensing maps yields significantly tighter cosmological constraints than power-spectrum analysis when using the same forward-modeling pipeline, especially on small scales.
A beta-VAE analysis of pop-cosmos models finds that five latent dimensions capture the rest-frame optical SED, corresponding to stellar mass, recent star formation, dust, and two gas ionization states.
An interacting sterile neutrino component via pseudoscalar mediator reconciles CMB and DESI DR2 BAO measurements with 2.7 sigma preference and reduces H0 tension to 2.4 sigma.
FRB dispersion measures directly constrain suppression of the matter power spectrum due to feedback at k ~ 0.1-3 h/Mpc, reduce posterior variance by a factor of ~8 at k~1 h/Mpc, and exclude extreme large-scale feedback scenarios at ~2 sigma.
COLA-based hybrid emulator reproduces nonlinear power spectrum boosts in w0wa models to <2% error vs EuclidEmulator2 and produces <0.3σ shifts in LSST-like cosmic shear parameter constraints.
The parity-odd intrinsic alignment power spectrum probes the collapsed limit of the parity-odd primordial trispectrum and can tighten constraints on parity-violating PNG when bias parameters are calibrated from N-body simulations.
Fixing the covariance at an incorrect cosmology in cluster count analyses leaves Ω_c, σ_8, and w estimates unbiased but distorts their uncertainties, driven by S_8 amplitude effects; a single update at the recovered best-fit cosmology restores correct normalization for LSST-like surveys.
Galaxy size-mass relations exhibit double power-law breaks at different pivot masses for quiescent versus bulge-dominated samples, coinciding with AGN activity scales.
A minimal bias model yields unbiased LambdaCDM constraints up to k_max=0.7 h/Mpc but biases neutrino mass estimates, while higher-order bias mimics baryonic suppression in LSST 3x2pt analyses using the new MGL pipeline.
Uniform discretization in scale factor and 2048^3 particle resolution allow reducing mass shells to ~50 and downsampling high-redshift particles with only 0.1-0.3 sigma impact on higher-order cosmic shear statistics under LSST-like conditions.
Calibration uncertainties during supernova light-curve fitting cause roughly 50% degradation in dark energy figure of merit for Stage IV surveys, dominating over 13% degradation from model training errors and showing near-degeneracy with cosmology.
A coordinated Rubin-DESI supernova survey could distinguish dynamical dark energy from Lambda CDM at over 5 sigma in one year using 2300 spectroscopically confirmed SNe Ia at low redshift.
Fisher forecasts show the weak lensing bispectrum reduces errors on CPL w0 and IDE coupling parameters but leaves f(R) scalaron constraints essentially unchanged after full marginalization over nuisance parameters.
Emulation of binned modified gravity power spectra to <1% accuracy enables MCMC forecasts that constrain μ and η via LSST large-scale structure combined with CMB lensing, with best sensitivity along the lensing combination Σ.
IRMaGiC extends redMaGiC to z=1-2 using joint LSST optical and Roman infrared data, reducing photo-z scatter and bias for LRGs.
Edge discontinuities in coadds cause significant shear biases only in extreme cases such as two-input-image stacks or 25% PSF size jumps, and these cases can be flagged and removed with a simple PSF variation statistic.
Pantheon+ releases 1701 light curves from 1550 spectroscopically confirmed Type Ia supernovae across 18 surveys for cosmological inference.
Photometric redshift uncertainties bias Anderson-Darling and Gaussian-mixture tests toward relaxed cluster classifications, with Gaussian errors producing ~95% relaxed recovery versus ~5% for unrelaxed clusters.
AnaCal recovers input shear with low bias in high-shear cluster regimes under LSST-like conditions, producing 0.24% mean mass bias.
citing papers explorer
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Weak Lensing Spectrotomography: A1767 and A2065
First spectrotomographic weak lensing measurements on A1767 and A2065 with HSC data yield shear signals consistent with dynamical masses.
-
Modeling the impact of filter-substrate refraction in the Roman point spread function
Filter-substrate refraction causes dominant lateral shifts yielding 0.3-0.4% PSF size and ellipticity residuals across most Roman bands that exceed weak lensing requirements by an order of magnitude, while longitudinal defocus shifts remain negligible.
-
Inverting Fisher biases for fast systematics exploration
Inverting Fisher biases enables quick checks on whether specific systematics explain cosmological tensions.
-
A solid unification of the dark sector
A generalized Chaplygin-type solid unifies dark matter and dark energy via an early pressureless phase transitioning to a late solid phase that supports acceleration and produces distinct low-redshift perturbation signatures.
-
GalSBI: Forward Modelling Galaxy Clustering and Population
GalSBI extended with optimal transport subhalo matching and SBI to forward-model galaxy population plus clustering, validated against DES Y3 and HSC data with public code release.
-
Towards Practical Field-Level Inference for Weak Lensing
Field-level inference from weak lensing maps yields significantly tighter cosmological constraints than power-spectrum analysis when using the same forward-modeling pipeline, especially on small scales.
-
pop-cosmos: Disentangling galaxy properties from observables using data-driven approaches
A beta-VAE analysis of pop-cosmos models finds that five latent dimensions capture the rest-frame optical SED, corresponding to stellar mass, recent star formation, dust, and two gas ionization states.
-
Recoupled Dark Radiation reconciling CMB and DESI BAO measurements
An interacting sterile neutrino component via pseudoscalar mediator reconciles CMB and DESI DR2 BAO measurements with 2.7 sigma preference and reduces H0 tension to 2.4 sigma.
-
Signatures of Suppressed Matter Clustering revealed by Fast Radio Bursts
FRB dispersion measures directly constrain suppression of the matter power spectrum due to feedback at k ~ 0.1-3 h/Mpc, reduce posterior variance by a factor of ~8 at k~1 h/Mpc, and exclude extreme large-scale feedback scenarios at ~2 sigma.
-
Modeling nonlinear scales for dynamical dark energy cosmologies with COLA
COLA-based hybrid emulator reproduces nonlinear power spectrum boosts in w0wa models to <2% error vs EuclidEmulator2 and produces <0.3σ shifts in LSST-like cosmic shear parameter constraints.
-
Parity Violation in Galaxy Shapes: Primordial Non-Gaussianity
The parity-odd intrinsic alignment power spectrum probes the collapsed limit of the parity-odd primordial trispectrum and can tighten constraints on parity-violating PNG when bias parameters are calibrated from N-body simulations.
-
Cosmology-dependent covariance in galaxy cluster number counts: consequences for parameter inference
Fixing the covariance at an incorrect cosmology in cluster count analyses leaves Ω_c, σ_8, and w estimates unbiased but distorts their uncertainties, driven by S_8 amplitude effects; a single update at the recovered best-fit cosmology restores correct normalization for LSST-like surveys.
-
pop-cosmos: Galaxy size evolution across structural and star-formation classifications in COSMOS-Web
Galaxy size-mass relations exhibit double power-law breaks at different pivot masses for quiescent versus bulge-dominated samples, coinciding with AGN activity scales.
-
Balancing bias, baryons, and scale cuts in LSST 3x2pt analysis
A minimal bias model yields unbiased LambdaCDM constraints up to k_max=0.7 h/Mpc but biases neutrino mass estimates, while higher-order bias mimics baryonic suppression in LSST 3x2pt analyses using the new MGL pipeline.
-
Optimization of Weak Lensing Lightcone Simulations for Higher-Order Statistics in the LSST era
Uniform discretization in scale factor and 2048^3 particle resolution allow reducing mass shells to ~50 and downsampling high-redshift particles with only 0.1-0.3 sigma impact on higher-order cosmic shear statistics under LSST-like conditions.
-
Calibration-Induced Systematics in SALT3 Training and Their Impact on Dark Energy Constraints from Stage IV Supernova Surveys
Calibration uncertainties during supernova light-curve fitting cause roughly 50% degradation in dark energy figure of merit for Stage IV surveys, dominating over 13% degradation from model training errors and showing near-degeneracy with cosmology.
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Testing $\Lambda$CDM versus dynamical dark energy in one year: A DESI spectroscopic follow-up program for Rubin supernovae
A coordinated Rubin-DESI supernova survey could distinguish dynamical dark energy from Lambda CDM at over 5 sigma in one year using 2300 spectroscopically confirmed SNe Ia at low redshift.
-
Exploring Beyond {\Lambda}CDM with the Weak Lensing Power Spectrum and Bispectrum
Fisher forecasts show the weak lensing bispectrum reduces errors on CPL w0 and IDE coupling parameters but leaves f(R) scalaron constraints essentially unchanged after full marginalization over nuisance parameters.
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Cosmological gravity on all scales V: MCMC forecasts combining large scale structure and CMB lensing for binned phenomenological modified gravity
Emulation of binned modified gravity power spectra to <1% accuracy enables MCMC forecasts that constrain μ and η via LSST large-scale structure combined with CMB lensing, with best sensitivity along the lensing combination Σ.
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IRMaGiC: Extending Luminous Red Galaxy Selection into the Infrared with Joint Rubin Observatory's Large Survey of Space Time and Roman's High Latitude Imaging Survey
IRMaGiC extends redMaGiC to z=1-2 using joint LSST optical and Roman infrared data, reducing photo-z scatter and bias for LRGs.
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Edges In Coadded Images
Edge discontinuities in coadds cause significant shear biases only in extreme cases such as two-input-image stacks or 25% PSF size jumps, and these cases can be flagged and removed with a simple PSF variation statistic.
-
The Pantheon+ Analysis: The Full Dataset and Light-Curve Release
Pantheon+ releases 1701 light curves from 1550 spectroscopically confirmed Type Ia supernovae across 18 surveys for cosmological inference.
-
The Limits of Photometric Dynamics: Benchmarking Cluster Relaxation Diagnostics
Photometric redshift uncertainties bias Anderson-Darling and Gaussian-mixture tests toward relaxed cluster classifications, with Gaussian errors producing ~95% relaxed recovery versus ~5% for unrelaxed clusters.
-
Accurate Galaxy Cluster Shear and Mass Calibration for LSST with AnaCal
AnaCal recovers input shear with low bias in high-shear cluster regimes under LSST-like conditions, producing 0.24% mean mass bias.
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Impact of Calibration Systematics on Dark Energy Constraints from LSST Type Ia Supernovae
Linear passband tilts shift best-fit w0 and wa by ~0.025 sigma and enlarge the w0-wa contour area by ~5% per 1%/100nm increase; quadratic tilts yield less conclusive results.
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From Large Telescopes to the MUltiplexed Survey Telescope (MUST)
MUST is a new 6.5 m telescope designed to deliver simultaneous optical spectra for over 20,000 targets across a 5 deg² field, enabling the largest 3D spectroscopic map of the Universe with redshifts for more than 100 million objects over an 8-year survey.
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HOLISMOKES XXI: Detecting strongly lensed type Ia supernovae from time series of multi-band LSST-like imaging data -- Part II
A convLSTM classifier identifies lensed SNe Ia in simulated LSST-like time series, reaching ~60% true-positive rate at O(10^{-4}) false-positive rate by the seventh epoch even after adding realistic PSF variations and foreground SN contaminants.
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Dark Energy Survey Year 3: Blue Shear
Blue galaxy selection in DES Y3 cosmic shear mitigates IA effects, producing stable parameters with 1.5x smaller S8 uncertainty and improved CMB agreement versus the full sample.
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Cosmological Concordance in an Especially Opaque Universe: A Tentative Cosmological Detection of Physical Neutrino Mass in $\Lambda$CDM
Imposing a high prior on τ = 0.11 ± 0.006 produces a 2σ positive neutrino mass sum of 0.10 eV and restores concordance between CMB and DESI data inside ΛCDM.
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Machine Learning Techniques for Astrophysics and Cosmology: Photometric Redshifts
AI techniques for photometric redshift estimation have converged and are now limited by the size, systematics, and selection effects in spectroscopic training samples rather than by methodology.
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CMB-S4 Science Case, Reference Design, and Project Plan
Presents the science case, reference design, and project plan for the CMB-S4 ground-based CMB experiment.
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Commissioning of the Vera C. Rubin Observatory and Weak Gravitational Lensing
Status report on Rubin Observatory camera commissioning and readiness for weak lensing cosmic shear measurements to constrain dark energy.
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Better support for collaborations preparing for large-scale projects: the case study of the LSST Science Collaborations Astro2020 APC White Paper
LSST Science Collaborations advocate for dedicated funding programs supporting both research and infrastructure to enable effective large-scale collaborative astrophysics.