output
19952026
most citedObservational Evidence from Supernovae for an Accelerating Universe and a Cosmological Constant

19.6k citations

Showing 2022 · astro-ph.COShow all

18 papers · 2 filters

astro-ph.CO2022★ 49 cited

The Dark Energy Survey Year 3 and eBOSS: constraining galaxy intrinsic alignments across luminosity and colour space

S. Samuroff, R. Mandelbaum, J. Blazek +104

We present direct constraints on galaxy intrinsic alignments using the Dark Energy Survey Year 3 (DES Y3), the Extended Baryon Oscillation Spectroscopic Survey (eBOSS) and its prec…

astro-ph.CO2022★ 5 cited

Non-local contribution from small scales in galaxy-galaxy lensing: Comparison of mitigation schemes

J. Prat, G. Zacharegkas, Y. Park +112

Recent cosmological analyses with large-scale structure and weak lensing measurements, usually referred to as 32pt, had to discard a lot of signal-to-noise from small scale…

astro-ph.CO2022★ 17 cited

Mapping gas around massive galaxies: cross-correlation of DES Y3 galaxies and Compton--maps from SPT and Planck

J. Sánchez, Y. Omori, C. Chang +124

We cross-correlate positions of galaxies measured in data from the first three years of the Dark Energy Survey with Compton--maps generated using data from the South Pole Telesc…

astro-ph.CO2022★ 18 cited

Dark Energy Survey Year 3 Results: Measurement of the Baryon Acoustic Oscillations with Three-dimensional Clustering

K. C. Chan, S. Avila, A. Carnero Rosell +66

The three-dimensional correlation function offers an effective way to summarize the correlation of the large-scale structure even for imaging galaxy surveys. We have applied the pr…

astro-ph.CO2022★ 12 cited

The PSZ-MCMF catalogue of Planck clusters over the DES region

D. Hernández-Lang, M. Klein, J. J. Mohr +58

We present the first systematic follow-up of Planck Sunyaev-Zeldovich effect (SZE) selected candidates down to signal-to-noise (S/N) of 3 over the 5000 deg covered by the Dark…

astro-ph.CO2022★ 3 cited

Mapping Variations of Redshift Distributions with Probability Integral Transforms

J. Myles, D. Gruen, A. Amon +66

We present a method for mapping variations between probability distribution functions and apply this method within the context of measuring galaxy redshift distributions from imagi…