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in 2021
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Cabayol L et al.
,
The PAU survey: Estimating galaxy photometry with deep learning
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Monthly Notices Of The Royal Astronomical Society. 506 (3): 4048-4069 (2021)
[DOI]
[ARXIV]
Pedersen, Christian et al.
,
An emulator for the Lyman-$\alpha$ forest in beyond-$\Lambda$CDM cosmologies
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Journal Of Cosmology And Astroparticle Physics. (5): (2021)
[DOI]
[ARXIV]
Alam, Shadab et al.
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Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Cosmological implications from two decades of spectroscopic surveys at the Apache Point Observatory
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Physical Review d. 103 (8): (2021)
[DOI]
[ARXIV]
Jimenez J et al.
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Integration of a testbench for the optical and thermal characterization of near-infrared detectors used in ground and space-based astronomy
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Ieee Transactions On Instrumentation And Measurement. 70 (2021)
[DOI]
Cuceu, A et al.
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Cosmology beyond BAO from the 3D distribution of the Lyman-alpha forest
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Monthly Notices Of The Royal Astronomical Society. 506 (4): 5439-5450 (2021)
[DOI]
[ARXIV]
Manera, M et al.
,
Obtaining nonlinear galaxy bias constraints from galaxy-lensing phase differences
,
Monthly Notices Of The Royal Astronomical Society. 506 (4): 5878-5887 (2021)
[DOI]
[ARXIV]
Tortorelli, L et al.
,
The PAU survey: measurement of narrow-band galaxy properties with approximate bayesian computation
,
Journal Of Cosmology And Astroparticle Physics. (12): (2021)
[DOI]
[ARXIV]
Jeffrey N et al.
,
Dark Energy Survey Year 3 results: Curved-sky weak lensing mass map reconstruction
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Monthly Notices Of The Royal Astronomical Society. 505 (3): 4626-4645 (2021)
[DOI]
[ARXIV]
Soo, John YH et al.
,
The PAU Survey: narrowband photometric redshifts using Gaussian processes
,
Monthly Notices Of The Royal Astronomical Society. 503 (3): 4118-4135 (2021)
[DOI]
[ARXIV]
Alarcon A et al.
,
The PAU Survey: An improved photo-z sample in the COSMOS field
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Monthly Notices Of The Royal Astronomical Society. 501 (4): 6103-6122 (2021)
[DOI]
[ARXIV]
Vielzeuf P et al.
,
Dark energy survey year 1 results: The lensing imprint of cosmic voids on the cosmic microwave background
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Monthly Notices Of The Royal Astronomical Society. 500 (1): 464-480 (2021)
[DOI]
[ARXIV]
Turner, S et al.
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Synergies between low- and intermediate-redshift galaxy populations revealed with unsupervised machine learning
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Monthly Notices Of The Royal Astronomical Society. 503 (2): 3010-3031 (2021)
[DOI]
[ARXIV]
Gatti, M et al.
,
Dark Energy Survey Year 3 Results: Weak Lensing Shape Catalogue
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Monthly Notices Of The Royal Astronomical Society. 504 (3): 4312-4336 (2021)
[DOI]
[ARXIV]
Vega-Ferrero, J et al.
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Pushing automated morphological classifications to their limits with the Dark Energy Survey
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Monthly Notices Of The Royal Astronomical Society. 506 (2): 1927-1943 (2021)
[DOI]
[ARXIV]
Wiseman P et al.
,
Rates and delay times of Type Ia supernovae in the Dark Energy Survey
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Monthly Notices Of The Royal Astronomical Society. 506 (3): 3330-3348 (2021)
[DOI]
[ARXIV]
Fumagalli A et al.
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Euclid: Effects of sample covariance on the number counts of galaxy clusters
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Astronomy & Astrophysics. 652 (2021)
[DOI]
[ARXIV]
Lemos P et al.
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Assessing tension metrics with dark energy survey and Planck data
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Monthly Notices Of The Royal Astronomical Society. 505 (4): 6179-6194 (2021)
[DOI]
[ARXIV]
Andrade-Oliveira F et al.
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Galaxy clustering in harmonic space from the dark energy survey year 1 data: compatibility with real-space results
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Monthly Notices Of The Royal Astronomical Society. 505 (4): 5714-5724 (2021)
[DOI]
[ARXIV]
Cantu SA et al.
,
A Deeper Look at des Dwarf Galaxy Candidates: Grus i and Indus ii
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Astrophysical Journal Letters. 916 (2): (2021)
[DOI]
[ARXIV]
Abbott TMC et al.
,
The Dark Energy Survey Data Release 2
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Astrophysical Journal Supplement Series. 255 (2): (2021)
[DOI]
[ARXIV]
Chen, A et al.
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Constraints on dark matter to dark radiation conversion in the late universe with DES-Y1 and external data
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Physical Review d. 103 (12): (2021)
[DOI]
[ARXIV]
Sevilla-Noarbe, I et al.
,
Dark Energy Survey Year 3 Results: Photometric Data Set for Cosmology
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Astrophysical Journal Supplement Series. 254 (2): (2021)
[DOI]
[ARXIV]
Grandis S et al.
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Exploring the contamination of the DES-Y1 cluster sample with SPT-SZ selected clusters
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Monthly Notices Of The Royal Astronomical Society. 504 (1): 1253-1272 (2021)
[DOI]
[ARXIV]
Inserra C et al.
,
The first Hubble diagram and cosmological constraints using superluminous supernovae
,
Monthly Notices Of The Royal Astronomical Society. 504 (2): 2535-2549 (2021)
[DOI]
[ARXIV]
Martinelli M et al.
,
Euclid: Impact of non-linear and baryonic feedback prescriptions on cosmological parameter estimation from weak lensing cosmic shear
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Astronomy & Astrophysics. 649 (2021)
[DOI]
[ARXIV]
Doux, C et al.
,
Dark Energy Survey internal consistency tests of the joint cosmological probes analysis with posterior predictive distributions
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Monthly Notices Of The Royal Astronomical Society. 503 (2): 2688-2705 (2021)
[DOI]
[ARXIV]
Doux, C et al.
,
Consistency of cosmic shear analyses in harmonic and real space
,
Monthly Notices Of The Royal Astronomical Society. 503 (3): 3796-3817 (2021)
[DOI]
[ARXIV]
To, C. et al.
,
Dark Energy Survey Year 1 Results: Cosmological Constraints from Cluster Abundances, Weak Lensing, and Galaxy Correlations
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Physical Review Letters. 126 (14): 141301- (2021)
[DOI]
[ARXIV]
Mucesh, S et al.
,
A machine learning approach to galaxy properties: joint redshift-stellar mass probability distributions with Random Forest
,
Monthly Notices Of The Royal Astronomical Society. 502 (2): 2770-2786 (2021)
[DOI]
[ARXIV]
Huang, Hung-Jin et al.
,
Dark Energy Survey Year 1 Results: Constraining Baryonic Physics in the Universe
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Monthly Notices Of The Royal Astronomical Society. 502 (4): 6010-6031 (2021)
[DOI]
[ARXIV]
Aguena, M et al.
,
The WaZP galaxy cluster sample of the Dark Energy Survey Year 1
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Monthly Notices Of The Royal Astronomical Society. 502 (3): 4435-4456 (2021)
[DOI]
[ARXIV]
Stringer, KM et al.
,
Identifying RR Lyrae Variable Stars in Six Years of the Dark Energy Survey
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Astrophysical Journal Letters. 911 (2): (2021)
[DOI]
[ARXIV]
Napier KJ et al.
,
No evidence for orbital clustering in the extreme trans-Neptunian objects
,
Planetary Science Journal. 2 (2): (2021)
[DOI]
[ARXIV]
Ilbert O et al.
,
Euclid preparation: XI. Mean redshift determination from galaxy redshift probabilities for cosmic shear tomography
,
Astronomy & Astrophysics. 647 (2021)
[DOI]
[ARXIV]
Renard P et al.
,
The PAU survey: Ly ? intensity mapping forecast
,
Monthly Notices Of The Royal Astronomical Society. 501 (3): 3883-3899 (2021)
[DOI]
[ARXIV]
Kelsey L et al.
,
The effect of environment on Type Ia supernovae in the Dark Energy Survey three-year cosmological sample
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Monthly Notices Of The Royal Astronomical Society. 501 (4): 4861-4876 (2021)
[DOI]
[ARXIV]
Nadler, EO et al.
,
Milky Way Satellite Census. III. Constraints on Dark Matter Properties from Observations of Milky Way Satellite Galaxies
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Physical Review Letters. 126 (9): 091101- (2021)
[DOI]
[ARXIV]
Costanzi M et al.
,
Cosmological constraints from des Y1 cluster abundances and SPT multiwavelength data
,
Physical Review d. 103 (4): (2021)
[DOI]
[ARXIV]
Shajib AJ et al.
,
Erratum: Is every strong lens model unhappy in its own way? Uniform modelling of a sample of 13 quadruply+ imaged quasars(Monthly Notices of the Royal Astronomical Society (2019) 483:4 (5649–5671) DOI: 10.1093/mnras/sty3397)
,
Monthly Notices Of The Royal Astronomical Society. 501 (2): 2833-2835 (2021)
[DOI]
[ARXIV]
Muir J et al.
,
DES Y1 results: Splitting growth and geometry to test ΛcDM
,
Physical Review d. 103 (2): (2021)
[DOI]
[ARXIV]
Yang, Qian et al.
,
Spectral Variability of a Sample of Extreme Variability Quasars and Implications for the MgII Broad-line Region
,
Monthly Notices Of The Royal Astronomical Society. 493 (4): 5773-5787 (2021)
[DOI]
[ARXIV]
Mawdsley, B et al.
,
Dark Energy Survey Year 1 Results: Wide Field Mass Maps via Forward Fitting in Harmonic Space
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Monthly Notices Of The Royal Astronomical Society. 493 (4): 5662-5679 (2021)
[DOI]
[ARXIV]
Henghes, B et al.
,
Machine Learning for Searching the Dark Energy Survey for Trans-Neptunian Objects
,
Publications Of The Astronomical Society Of The Pacific. 133 (1019): (2021)
[DOI]
[ARXIV]
Liao WT et al.
,
Discovery of a candidate binary supermassive black hole in a periodic quasar from circumbinary accretion variability
,
Monthly Notices Of The Royal Astronomical Society. 500 (3): 4025-4041 (2021)
[DOI]
[ARXIV]
Tanoglidis, D et al.
,
Shadows in the Dark: Low-surface-brightness Galaxies Discovered in the Dark Energy Survey
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Astrophysical Journal Supplement Series. 252 (2): (2021)
[DOI]
[ARXIV]
Jarvis, M et al.
,
Dark Energy Survey year 3 results: point spread function modelling
,
Monthly Notices Of The Royal Astronomical Society. 501 (1): 1282-1299 (2021)
[DOI]
[ARXIV]
Sampaio-Santos, H et al.
,
Is diffuse intracluster light a good tracer of the galaxy cluster matter distribution?
,
Monthly Notices Of The Royal Astronomical Society. 501 (1): 1300-1315 (2021)
[DOI]
[ARXIV]
Porredon, A et al.
,
Dark Energy Survey Year 3 results: Optimizing the lens sample in a combined galaxy clustering and galaxy-galaxy lensing analysis
,
Physical Review d. 103 (4): (2021)
[DOI]
[ARXIV]
Hilton, M et al.
,
The Atacama Cosmology Telescope: A Catalog of >4000 Sunyaev-Zel'dovich Galaxy Clusters
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Astrophysical Journal Supplement Series. 253 (1): (2021)
[DOI]
[ARXIV]
Fortino, WF et al.
,
Reducing Ground-based Astrometric Errors with Gaia and Gaussian Processes
,
Astronomical Journal. 162 (3): (2021)
[DOI]
[ARXIV]
Grayling, M et al.
,
Understanding the extreme luminosity of DES14X2fna
,
Monthly Notices Of The Royal Astronomical Society. 505 (3): 3950-3967 (2021)
[DOI]
[ARXIV]
Myles, J et al.
,
Dark Energy Survey Year 3 results: redshift calibration of the weak lensing source galaxies
,
Monthly Notices Of The Royal Astronomical Society. 505 (3): 4249-4277 (2021)
[DOI]
[ARXIV]
Vincenzi, M et al.
,
The Dark Energy Survey supernova programme: modelling selection efficiency and observed core-collapse supernova contamination
,
Monthly Notices Of The Royal Astronomical Society. 505 (2): 2819-2839 (2021)
[DOI]
[ARXIV]
Stadel, J et al.
,
Euclid preparation: IX. EuclidEmulator2-power spectrum emulation with massive neutrinos and self-consistent dark energy perturbations
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Monthly Notices Of The Royal Astronomical Society. 505 (2): 2840-2869 (2021)
[DOI]
[ARXIV]
Stanford, SA et al.
,
Euclid Preparation. XIV. The Complete Calibration of the Color-Redshift Relation (C3R2) Survey: Data Release 3
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Astrophysical Journal Supplement Series. 256 (1): (2021)
[DOI]
[ARXIV]
Munoz, AJ et al.
,
Euclid: Estimation of the Impact of Correlated Readout Noise for Flux Measurements with the Euclid NISP Instrument
,
Publications Of The Astronomical Society Of The Pacific. 133 (1027): (2021)
[DOI]
[ARXIV]
Cheng, TY et al.
,
Galaxy morphological classification catalogue of the Dark Energy Survey Year 3 data with convolutional neural networks
,
Monthly Notices Of The Royal Astronomical Society. 507 (3): 4425-4444 (2021)
[DOI]
[ARXIV]
Yu, ZF et al.
,
OzDES Reverberation Mapping Programme: the first Mg II lags from 5 yr of monitoring
,
Monthly Notices Of The Royal Astronomical Society. 507 (3): 3771-3788 (2021)
[DOI]
[ARXIV]
Shin, T et al.
,
The mass and galaxy distribution around SZ-selected clusters
,
Monthly Notices Of The Royal Astronomical Society. 507 (4): 5758-5779 (2021)
[DOI]
[ARXIV]
Bernardinelli, PH et al.
,
C/2014 UN271 (Bernardinelli-Bernstein): The Nearly Spherical Cow of Comets
,
Astrophysical Journal Letters. 921 (2): (2021)
[DOI]
[ARXIV]
Martinelli, M et al.
,
Euclid: Constraining dark energy coupled to electromagnetism using astrophysical and laboratory data
,
Astronomy & Astrophysics. 654 (2021)
[DOI]
[ARXIV]
Pocino, A et al.
,
Euclid preparation XII. Optimizing the photometric sample of the Euclid survey for galaxy clustering and galaxy-galaxy lensing analyses
,
Astronomy & Astrophysics. 655 (2021)
[DOI]
[ARXIV]
Friedrich, O et al.
,
Dark Energy Survey year 3 results: covariance modelling and its impact on parameter estimation and quality of fit
,
Monthly Notices Of The Royal Astronomical Society. 508 (3): 3125-3165 (2021)
[DOI]
[ARXIV]
Ferrero, I et al.
,
Dark Energy Survey Year 3 Results: Galaxy mock catalogs for BAO analysis
,
Astronomy & Astrophysics. 656 (2021)
[DOI]
[ARXIV]
Adhikari, S et al.
,
Probing Galaxy Evolution in Massive Clusters Using ACT and DES: Splashback as a Cosmic Clock
,
Astrophysical Journal Letters. 923 (1): (2021)
[DOI]
[ARXIV]
Johnston H et al.
,
The PAU Survey: Intrinsic alignments and clustering of narrow-band photometric galaxies
,
Astronomy & Astrophysics. 646 (2021)
[DOI]
[ARXIV]
Koushan, Soheil et al.
,
GAMA/DEVILS: Constraining the cosmic star-formation history from improved measurements of the 0.3-2.2 micron Extragalactic Background Light
,
Monthly Notices Of The Royal Astronomical Society. 503 (2): 2033-2052 (2021)
[DOI]
[ARXIV]
Manzoni G et al.
,
Modelling the quenching of star formation activity from the evolution of the colour-magnitude relation in VIPERS
,
New Astronomy. 84 (2021)
[DOI]
[ARXIV]
Davies, LJM et al.
,
Deep Extragalactic VIsible Legacy Survey (DEVILS): consistent multiwavelength photometry for the DEVILS regions (COSMOS, XMMLSS, and ECDFS)
,
Monthly Notices Of The Royal Astronomical Society. 506 (1): 256-287 (2021)
[DOI]
[ARXIV]