R Chen

ORCID: 0000-0003-3917-0966
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Galaxies: Formation, Evolution, Phenomena
  • Gamma-ray bursts and supernovae
  • Cosmology and Gravitation Theories
  • Astronomy and Astrophysical Research
  • Stellar, planetary, and galactic studies
  • Astrophysics and Cosmic Phenomena
  • Dark Matter and Cosmic Phenomena
  • Adaptive optics and wavefront sensing
  • Radio Astronomy Observations and Technology
  • Gaussian Processes and Bayesian Inference
  • Astrophysical Phenomena and Observations
  • Astrophysics and Star Formation Studies
  • Statistical and numerical algorithms
  • CCD and CMOS Imaging Sensors
  • Quantum Chromodynamics and Particle Interactions
  • Statistical Methods and Inference
  • High-Energy Particle Collisions Research
  • Geophysics and Gravity Measurements

Duke University
2020-2025

Texas A&M University
2024

Mitchell Institute
2024

Lawrence Berkeley National Laboratory
2021

We present constraints on cosmological parameters from the Pantheon+ analysis of 1701 light curves 1550 distinct Type Ia supernovae (SNe Ia) ranging in redshift $z=0.001$ to 2.26. This work features an increased sample size, span, and improved treatment systematic uncertainties comparison original Pantheon results a factor two improvement constraining power. For Flat$\Lambda$CDM model, we find $\Omega_M=0.334\pm0.018$ SNe alone. Flat$w_0$CDM measure $w_0=-0.90\pm0.14$ alone, H$_0=73.5\pm1.1$...

10.3847/1538-4357/ac8e04 article EN cc-by The Astrophysical Journal 2022-10-01

Here we present 1701 light curves of 1550 spectroscopically confirmed Type Ia supernovae (SNe Ia) that will be used to infer cosmological parameters as part the Pantheon+ SN analysis and SH0ES (Supernovae H0 for Equation State dark energy) distance-ladder analysis. This effort is one a series works perform an extensive review redshifts, peculiar velocities, photometric calibration, intrinsic-scatter models SNe Ia. The total number curves, which are compiled across 18 different surveys,...

10.3847/1538-4357/ac8b7a article EN cc-by The Astrophysical Journal 2022-10-01

ABSTRACT We present and characterize the galaxy shape catalogue from first 3 yr of Dark Energy Survey (DES) observations, over an effective area 4143 deg2 southern sky. describe our data analysis process self-calibrating shear measurement pipeline metacalibration, which builds improves upon used in DES Year 1 several aspects. The weak-lensing consists 100 204 026 galaxies, measured riz bands, resulting a weighted source number density neff = 5.59 gal arcmin−2 corresponding noise σe 0.261....

10.1093/mnras/stab918 article EN Monthly Notices of the Royal Astronomical Society 2021-04-01

We present a joint cosmic shear analysis of the Dark Energy Survey (DES Y3) and Kilo-Degree (KiDS-1000) in collaborative effort between two survey teams. find consistent cosmological parameter constraints DES Y3 KiDS-1000 which, when combined joint-survey analysis, constrain $S_8 = \sigma_8 \sqrt{\Omega_{\rm m}/0.3}$ with mean value $0.790^{+0.018}_{-0.014}$. The marginal is lower than maximum posteriori estimate, $S_8=0.801$, owing to skewness distribution projection effects...

10.21105/astro.2305.17173 article EN cc-by The Open Journal of Astrophysics 2023-10-20

Abstract We present cosmological constraints from the sample of Type Ia supernovae (SNe Ia) discovered and measured during full 5 yr Dark Energy Survey (DES) SN program. In contrast to most previous samples, in which SNe are classified based on their spectra, we classify DES using a machine learning algorithm applied light curves four photometric bands. Spectroscopic redshifts acquired dedicated follow-up survey host galaxies. After accounting for likelihood each being an Ia, find 1635...

10.3847/2041-8213/ad6f9f article EN cc-by The Astrophysical Journal Letters 2024-09-01

We present cosmological constraints from the sample of Type Ia supernovae (SN Ia) discovered during full five years Dark Energy Survey (DES) Supernova Program. In contrast to most previous samples, in which SN are classified based on their spectra, we classify DES SNe using a machine learning algorithm applied light curves four photometric bands. Spectroscopic redshifts acquired dedicated follow-up survey host galaxies. After accounting for likelihood each being Ia, find 1635 redshift range...

10.48550/arxiv.2401.02929 preprint EN other-oa arXiv (Cornell University) 2024-01-01

ABSTRACT We present reconstructed convergence maps, mass from the Dark Energy Survey (DES) third year (Y3) weak gravitational lensing data set. The maps are weighted projections of density field (primarily dark matter) in foreground observed galaxies. use four reconstruction methods, each is a maximum posteriori estimate with different model for prior probability map: Kaiser–Squires, null B-mode prior, Gaussian and sparsity prior. All methods implemented on celestial sphere to accommodate...

10.1093/mnras/stab1495 article EN Monthly Notices of the Royal Astronomical Society 2021-05-27

We constrain the matter density $\Omega_{\mathrm{m}}$ and amplitude of fluctuations $\sigma_8$ within $\Lambda$CDM cosmological model with shear peak statistics angular convergence power spectra using mass maps constructed from first three years data Dark Energy Survey (DES Y3). use tomographic statistics, including cross-peaks: counts calculated on created by taking a harmonic space product two redshift bins. Our analysis follows forward-modelling scheme to create likelihood these N-body...

10.1093/mnras/stac078 article EN Monthly Notices of the Royal Astronomical Society 2022-01-11

We present cosmological constraints from the analysis of angular power spectra cosmic shear maps based on data first three years observations by Dark Energy Survey (DES Y3). Our measurements are pseudo-$C_\ell$ method and offer a view complementary to that two-point correlation functions in real space, as two estimators known compress select Gaussian information different ways, due scale cuts. They may also be differently affected systematic effects theoretical uncertainties, such baryons...

10.1093/mnras/stac1826 article EN Monthly Notices of the Royal Astronomical Society 2022-07-01

We present the full Hubble diagram of photometrically-classified Type Ia supernovae (SNe Ia) from Dark Energy Survey supernova program (DES-SN). DES-SN discovered more than 20,000 SN candidates and obtained spectroscopic redshifts 7,000 host galaxies. Based on light-curve quality, we select 1635 photometrically-identified SNe with redshift 0.10$< z <$1.13, which is largest sample any single survey increases number known $z>0.5$ by a factor five. In companion paper, cosmological results...

10.48550/arxiv.2401.02945 preprint EN other-oa arXiv (Cornell University) 2024-01-01

ABSTRACT We report constraints on a variety of non-standard cosmological models using the full 5-yr photometrically classified type Ia supernova sample from Dark Energy Survey (DES-SN5YR). Both Akaike Information Criterion (AIC) and Suspiciousness calculations find no strong evidence for or against any we explore. When combined with external probes, AIC agree that 11 15 are moderately preferred over Flat-$\Lambda$CDM suggesting additional flexibility in our may be required beyond constant....

10.1093/mnras/stae1988 article EN cc-by Monthly Notices of the Royal Astronomical Society 2024-08-19

10.1103/physrevd.110.083509 article EN Physical review. D/Physical review. D. 2024-10-03

Abstract We present the full Hubble diagram of photometrically classified Type Ia supernovae (SNe Ia) from Dark Energy Survey supernova program (DES-SN). DES-SN discovered more than 20,000 SN candidates and obtained spectroscopic redshifts 7000 host galaxies. Based on light-curve quality, we select 1635 identified SNe with redshift 0.10 &lt; z 1.13, which is largest sample any single survey increases number known &gt; 0.5 by a factor 5. In companion paper, cosmological results combined 194...

10.3847/1538-4357/ad5e6c article EN cc-by The Astrophysical Journal 2024-10-25

We introduce a new software package for modeling the point-spread function (PSF) of astronomical images, called Piff (PSFs In Full FOV), which we apply to first three years (known as Y3) Dark Energy Survey (DES) data. describe relevant details about algorithms used by model PSF, including how PSF varies across field view (FOV). Diagnostic results show that systematic errors from are very small over range scales important DES Y3 weak lensing analysis. particular, significantly smaller than...

10.1093/mnras/staa3679 article EN Monthly Notices of the Royal Astronomical Society 2020-11-25

We use the small scales of Dark Energy Survey (DES) Year-3 cosmic shear measurements, which are excluded from DES cosmological analysis, to constrain baryonic feedback. To model feedback, we adopt a correction and numerical package \texttt{Baccoemu} accelerate evaluation nonlinear matter power spectrum. design our analysis pipeline focus on constraints suppression effects, utilizing implication given by principal component Fisher forecasts. Our constraint effects can then be used better...

10.1093/mnras/stac3213 article EN Monthly Notices of the Royal Astronomical Society 2022-11-10

Cosmological analyses with type Ia supernovae (SNe Ia) often assume a single empirical relation between color and luminosity ($\beta$) do not account for varying host-galaxy dust properties. However, from studies of in large samples galaxies, it is known that attenuation can vary significantly. Here we take advantage state-of-the-art modeling galaxy properties to characterize parameters (dust $A_V$, parameter describing the law slope $R_V$) Dark Energy Survey (DES) SN host galaxies using...

10.1093/mnras/stac3056 article EN Monthly Notices of the Royal Astronomical Society 2022-10-26

Abstract We present griz photometric light curves for the full 5 yr of Dark Energy Survey Supernova (DES-SN) program, obtained with both forced point-spread function photometry on difference images ( DiffImg ) performed during survey operations, and scene modelling (SMP) search processed after survey. This release contains 31,636 19,706 high-quality SMP curves, latter which contain 1635 photometrically classified SNe that pass cosmology quality cuts. sample spans largest redshift z range...

10.3847/1538-4357/ad739a article EN cc-by The Astrophysical Journal 2024-10-21

Redshift measurements, primarily obtained from host galaxies, are essential for inferring cosmological parameters type Ia supernovae (SNe Ia). Matching SNe to galaxies using images is non-trivial, resulting in a subset of with mismatched hosts and thus incorrect redshifts. We evaluate the galaxy mismatch rate biases on simulations modeled after Dark Energy Survey 5-Year (DES-SN5YR) photometric sample. For both DES-SN5YR data simulations, we employ directional light radius method matching. In...

10.3847/1538-4357/ad251d article EN cc-by The Astrophysical Journal 2024-03-26

Recent analyses have found intriguing correlations between the colour ($c$) of type Ia supernovae (SNe Ia) and size their 'mass-step', relationship SN host galaxy stellar mass ($M_\mathrm{stellar}$) Hubble residual, suggest that cause this is dust. Using 675 photometrically-classified SNe from Dark Energy Survey 5-year sample, we study differences in residual for a variety global local environmental properties subsamples split by colour. We find $3\sigma$ difference mass-step when comparing...

10.1093/mnras/stac3711 article EN cc-by Monthly Notices of the Royal Astronomical Society 2022-12-19

Current and future cosmological analyses with Type Ia Supernovae (SNe Ia) face three critical challenges: i) measuring redshifts from the supernova or its host galaxy; ii) classifying SNe without spectra; iii) accounting for correlations between properties of their galaxies. We present here a novel approach that addresses each challenge. In context Dark Energy Survey (DES), we analyze SNIa sample galaxies in redMaGiC galaxy catalog, selection Luminous Red Galaxies. Photo-$z$ estimates these...

10.3847/1538-4357/ac8b82 article EN cc-by The Astrophysical Journal 2022-10-01

ABSTRACT We measure the impact of source galaxy clustering on higher order summary statistics weak gravitational lensing data. By comparing simulated data with galaxies that either trace or do not underlying density field, we show this effect can exceed measurement uncertainties for common certain analysis choices. evaluate different observables, finding third moments and wavelet phase harmonics are more affected than peak count statistics. Using Dark Energy Survey (DES) Year 3 (Y3) data,...

10.1093/mnrasl/slad143 article EN cc-by Monthly Notices of the Royal Astronomical Society Letters 2023-10-04

ABSTRACT Extracting precise cosmology from weak lensing surveys requires modelling the non-linear matter power spectrum, which is suppressed at small scales due to baryonic feedback processes. However, hydrodynamical galaxy formation simulations make widely varying predictions for amplitude and extent of this effect. We use measurements Dark Energy Survey Year 3 (WL) Atacama Cosmology Telescope DR5 kinematic Sunyaev–Zel’dovich (kSZ) jointly constrain cosmological astrophysical parameters...

10.1093/mnras/stae2100 article EN cc-by Monthly Notices of the Royal Astronomical Society 2024-09-07

We present cosmological constraints from the abundance of galaxy clusters selected via thermal Sunyaev-Zel'dovich (SZ) effect in South Pole Telescope (SPT) data with a simultaneous mass calibration using weak gravitational lensing Dark Energy Survey (DES) and Hubble Space (HST). The cluster sample is constructed combined SPT-SZ, SPTpol ECS, 500d surveys, comprises 1,005 confirmed redshift range $0.25-1.78$ over total sky area 5,200 deg$^2$. use DES Year 3 weak-lensing for 688 redshifts...

10.48550/arxiv.2401.02075 preprint EN other-oa arXiv (Cornell University) 2024-01-01
Coming Soon ...