Volume-limited HETDEX [OII] samples at z≤0.48 have number densities 5–10 imes higher than typical ELG surveys and power spectra consistent with log(M0/h−1M⊙)≈11.9–12.3 and a weak luminosity slope a=0.37±0.10.
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9 Pith papers cite this work, alongside 81 external citations. Polarity classification is still indexing.
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Cross-correlation of SPT-3G CMB lensing and DES Y3 galaxy lensing measured at 14 sigma significance yields S8 = 0.833 +0.047 -0.061, consistent with Planck and DES Y3 shear-only results.
tSZ cross-correlations with large-scale structure tracers prefer low S8 and strong baryonic feedback, yielding S8 = 0.72 and low group baryon fraction in FLAMINGO simulations.
FRB DMs correlate at 2.6-5 sigma with galaxies, weak lensing, CIB, CMB lensing, tSZ, X-ray clusters, SXRB and radio continuum, consistent with moderate feedback models while ruling out weak feedback at 3.5 sigma via SXRB-DM.
Copula-based non-Gaussian likelihoods for weak-lensing correlation functions improve large-scale agreement with simulations and can shift S8 by ~1σ on 1000 deg² surveys, with negligible shifts at stage-IV areas.
UNIONS r-band data constrains S8 to 0.891^{+0.057}_{-0.084} via 2D harmonic-space cosmic shear, consistent with Planck at 0.79 sigma after modeling baryonic feedback and intrinsic alignments.
Smokescreen is a Python package that blinds cosmological data vectors using Firecrown likelihoods on SACC files while encrypting the true data to avoid premature unblinding.
KiDS-Legacy cosmic shear plus external probes yields S8 = 0.816 ± 0.006 in Lambda-CDM and consistent bounds on w0, wa, sum m_nu and Omega_K with no strong preference for extensions.
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HETDEX [OII] galaxies at $z \le 0.48$: Volume-limited samples and their power spectra
Volume-limited HETDEX [OII] samples at z≤0.48 have number densities 5–10 imes higher than typical ELG surveys and power spectra consistent with log(M0/h−1M⊙)≈11.9–12.3 and a weak luminosity slope a=0.37±0.10.
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Cross-correlation of SPT-3G D1 CMB lensing and DES Y3 galaxy lensing
Cross-correlation of SPT-3G CMB lensing and DES Y3 galaxy lensing measured at 14 sigma significance yields S8 = 0.833 +0.047 -0.061, consistent with Planck and DES Y3 shear-only results.
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FLAMINGO: The thermal history of the Universe from tSZ effect cross-correlations and its dependencies on cosmology and baryon physics
tSZ cross-correlations with large-scale structure tracers prefer low S8 and strong baryonic feedback, yielding S8 = 0.72 and low group baryon fraction in FLAMINGO simulations.
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Backlighting the Cosmic Web with Fast Radio Bursts: An Anthology of Dispersion Measure Cross-Correlations with Large-Scale Structure and Baryon Tracers
FRB DMs correlate at 2.6-5 sigma with galaxies, weak lensing, CIB, CMB lensing, tSZ, X-ray clusters, SXRB and radio continuum, consistent with moderate feedback models while ruling out weak feedback at 3.5 sigma via SXRB-DM.
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The Non-Gaussian Weak-Lensing Likelihood: A Multivariate Copula Construction and Impact on Cosmological Constraints
Copula-based non-Gaussian likelihoods for weak-lensing correlation functions improve large-scale agreement with simulations and can shift S8 by ~1σ on 1000 deg² surveys, with negligible shifts at stage-IV areas.
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UNIONS-3500 Weak Lensing: IV. 2D cosmological constraints in harmonic space
UNIONS r-band data constrains S8 to 0.891^{+0.057}_{-0.084} via 2D harmonic-space cosmic shear, consistent with Planck at 0.79 sigma after modeling baryonic feedback and intrinsic alignments.
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Smokescreen: A Python package for data vector blinding and encryption in cosmological analyses
Smokescreen is a Python package that blinds cosmological data vectors using Firecrown likelihoods on SACC files while encrypting the true data to avoid premature unblinding.
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KiDS-Legacy: Constraining dark energy, neutrino mass, and curvature
KiDS-Legacy cosmic shear plus external probes yields S8 = 0.816 ± 0.006 in Lambda-CDM and consistent bounds on w0, wa, sum m_nu and Omega_K with no strong preference for extensions.
- Probing Baryonic Feedback Effect with CSST Weak Lensing and Future FRB Measurements