Ia형 초신성은 표준화할 수 있는 촛불로, 그 거리를 통해 적색이동 약 2까지 우주의 팽창 역사를 추적할 수 있습니다. 제 모형 독립적 검증의 대부분은 초신성 자료(JLA, Pantheon, Pantheon+, DES)를 반복 평활법이나 가우시안 과정으로 재구성하는 데서 출발합니다.
이 재구성을 중입자 음향 진동(BAO), 구조 성장, 은하단 자료와 결합하여 우주의 평탄성, FLRW 계량, 일반상대성이론을 검증합니다. 또한 광도곡선 초매개변수나 Pantheon+ 공분산 행렬 같은 계통 오차를 진단하고, Rubin/LSST와 Roman이 거둘 성과를 예측하는 데에도 활용합니다.
From a model-independent expansion history reconstructed from supernovae, we infer with iterative smoothing how the hydrostatic mass bias of galaxy clusters depends on mass and redshift, using X-ray gas fractions. Reconciling clusters with CMB constraints requires this bias to evolve with time.
arXiv:2603.13763
우주는 평탄한가? DESI DR2를 이용한 검증
We reconstruct distances and the Hubble rate from Pantheon+ and DES supernovae without assuming any dark energy model, and combine them with DESI DR2 baryon acoustic oscillations to test the FLRW metric and measure the spatial curvature. With Pantheon+ and DESI DR2 we find , consistent with flatness and with Planck 2018.
DOI · arXiv:2601.20293
Rubin과 DESI를 위한 리트머스 검증
Reconstructing the expansion history from simulated LSST supernovae and combining it with simulated DESI 5-year BAO, we forecast constraints of up to ±4% on the curvature and ±0.1 on , without assuming any form of dark energy.
DOI · arXiv:2407.07847
The best-fit ΛCDM of Pantheon+ is unusually small, and its residuals scatter less than the covariance matrix predicts, pointing to errors overestimated by about 7%. After accounting for this, no deviation from ΛCDM is found.
DOI · arXiv:2212.07917
가우시안 과정, 제대로 쓰기
The choice of mean function and hyperparameters biases Gaussian process reconstructions of supernova distances: a zero mean gives unphysical results and a best-fit ΛCDM mean biases them. Marginalising over a family of mean functions and over the hyperparameters removes the bias, whatever the kernel.
DOI · arXiv:2206.15081
Gaussian processes reconstruct the dark energy density from forecast stage-IV supernova, BAO and redshift-space-distortion data, assuming only a flat FLRW universe that becomes matter-dominated at high redshift, which also yields the growth history. Several dark energy models can be distinguished from ΛCDM at or more.
DOI · arXiv:2206.13820
On simulated Roman supernova data, Bayesian model selection finds the true model when it is among the candidates, but otherwise only picks the least wrong one. A frequentist test based on iterative smoothing can instead conclude that all tested models are false.
DOI · arXiv:2110.10977
Likelihood distributions derived from the non-parametric iterative smoothing method let us test a dark energy model and estimate its parameters without comparing it to an alternative. On WFIRST-like mocks we quantify how confidently different dark energy models can be distinguished.
DOI · arXiv:2009.12045
Reconstructing the expansion history from JLA supernovae with iterative smoothing while sampling the light-curve hyper-parameters, we find hyper-parameters consistent with those from ΛCDM, CPL and PEDE fits, and no significant redshift evolution.
DOI · arXiv:2001.10887
From redshift-space distortion data alone, we reconstruct the growth history with crossing statistics and Gaussian processes, derive the expansion history from it, and fit supernovae to constrain and . The results are consistent with flat ΛCDM and General Relativity.
DOI · arXiv:1906.05991
Gaussian process regression can remove the bias in reconstructing from gravitational-wave standard sirens, and combined with supernovae it tests and ΛCDM. Dark-siren redshifts need close to spectroscopic precision to avoid significant bias.
DOI · arXiv:1905.10216
A model-independent analysis of the Pantheon supernovae shows deviations from ΛCDM at . They vanish with a simple Malmquist-like correction, but neither tests nor Gaussian processes find that this extra correction is statistically required.
DOI · arXiv:1812.03623
Combining model-independent expansion reconstructions from Pantheon supernovae and BAO, we test the FLRW metric and flatness, and use eBOSS DR14Q growth data to constrain , and . Everything is consistent with a flat FLRW universe, General Relativity and , with some tension at .
DOI · arXiv:1804.04320
We reconstruct the expansion history from supernovae and fit growth-rate data to constrain , the growth index and without a dark energy model. The results agree with ΛCDM in General Relativity, and requiring a positive dark energy density tightens them further.
DOI · arXiv:1712.04865
ΛCDM을 가정하지 않고 ΛCDM 검증하기
Combining BOSS DR12 BAO with JLA supernovae, we measure without assuming a cosmological model and introduce the diagnostic of the flat-FLRW metric. The results are consistent with a flat FLRW universe within .
DOI · arXiv:1606.06832