REVIEW 9 cited by
Dark Energy Survey Year 1 Results: Constraints on Extended Cosmological Models from Galaxy Clustering and Weak Lensing
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
abstract
We present constraints on extensions of the minimal cosmological models dominated by dark matter and dark energy, $\Lambda$CDM and $w$CDM, by using a combined analysis of galaxy clustering and weak gravitational lensing from the first-year data of the Dark Energy Survey (DES Y1) in combination with external data. We consider four extensions of the minimal dark energy-dominated scenarios: 1) nonzero curvature $\Omega_k$, 2) number of relativistic species $N_{\rm eff}$ different from the standard value of 3.046, 3) time-varying equation-of-state of dark energy described by the parameters $w_0$ and $w_a$ (alternatively quoted by the values at the pivot redshift, $w_p$, and $w_a$), and 4) modified gravity described by the parameters $\mu_0$ and $\Sigma_0$ that modify the metric potentials. We also consider external information from Planck CMB measurements; BAO measurements from SDSS, 6dF, and BOSS; RSD measurements from BOSS; and SNIa information from the Pantheon compilation. Constraints on curvature and the number of relativistic species are dominated by the external data; when these are combined with DES Y1, we find $\Omega_k=0.0020^{+0.0037}_{-0.0032}$ at the 68% confidence level, and $N_{\rm eff}<3.28\, (3.55)$ at 68% (95%) confidence. For the time-varying equation-of-state, we find the pivot value $(w_p, w_a)=(-0.91^{+0.19}_{-0.23}, -0.57^{+0.93}_{-1.11})$ at pivot redshift $z_p=0.27$ from DES alone, and $(w_p, w_a)=(-1.01^{+0.04}_{-0.04}, -0.28^{+0.37}_{-0.48})$ at $z_p=0.20$ from DES Y1 combined with external data; in either case we find no evidence for the temporal variation of the equation of state. For modified gravity, we find the present-day value of the relevant parameters to be $\Sigma_0= 0.43^{+0.28}_{-0.29}$ from DES Y1 alone, and $(\Sigma_0, \mu_0)=(0.06^{+0.08}_{-0.07}, -0.11^{+0.42}_{-0.46})$ from DES Y1 combined with external data, consistent with predictions from GR.
Forward citations
Cited by 9 Pith papers
-
Emulating the nonlinear effects of modified gravity on the matter power spectrum for reconstruction
A neural-network emulator predicts the ratio of nonlinear to linear modified-gravity matter power spectra across a 28-dimensional cosmological and MG parameter space, matching MGCAMB+ReACT to roughly 1–2%.
-
Universal scalings and switching entropy in yield-stress fluids
Yield-stress fluids show universal G'∼γ0^{−3/2}, G''∼γ0^{−1} decays under large-amplitude oscillation, captured by a bistable-fluidity model linking yield stress to recoverable elastic energy and a fitted 'switching entropy'.
-
What Motivates Whom? A Survey of Newcomers to OSS and Experienced OSS Practitioners
Demographics and motivations correlate with OSS project-selection preferences, with distinct patterns for newcomers versus experienced practitioners in a 208-person survey.
-
HETA++: Global Structure-from-Motion with Hybrid Explicit Translation Averaging
HETA++ improves global SfM by refining and filtering relative translations, initializing camera positions via convex translation averaging plus alternating triangulation, and refining poses with selected feature track...
-
AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System
RAG with top-3 chunk retrieval lifts smaller LLMs on Indian legal QA (Llama2-70B: 45.7% to 51.7% on AIBE) but often hurts large models, and under the study's own rating protocol some AI answers outscored the reference...
-
Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling
An ADP bandit+SHAP pipeline for FDM warpage detection claims AUC 0.9248→0.9731, but reported rewards exceed the stated reward function's possible range and k-selection uses the test set.
-
Cosmology with HI Intensity Mapping
SKAO HI intensity mapping forecasts yield competitive LambdaCDM constraints (e.g. H0 to ~0.3 km/s/Mpc optimistic) via power spectrum, BAO, bispectrum and stacking, complementary to CMB and optical surveys.
-
Evolution and Impact of Switchbacks Throughout the Heliosphere
Switchbacks grow under expansion then erode by multiple processes, contributing free energy to solar-wind turbulence, heating, acceleration and particle transport.
-
Reversing the Paradigm: Building AI-First Systems with Human Guidance
A position paper advocating 'AI-first systems' in which autonomous agents lead and humans supervise, supported only by illustrative examples and self-reported KPIs.
Discussion (0). Continue with ORCID to comment.