Drlica-Wagner, A.

Dark Energy Survey year 1 results: Cosmological constraints from galaxy clustering and weak lensing

Abbott, T. M. C., Abdalla, F. B., Alarcon, A., Aleksić, J., Allam, S., Allen, S., Amara, A., Annis, J., Asorey, J., Avila, S., et al. (2018) · Physical Review D

Cosmology and Gravitation TheoriesGalaxies: Formation, Evolution, Phenomena

Cited by 1,213

Dark Energy Survey Year 3 results: Cosmological constraints from galaxy clustering and weak lensing

Abbott, T. M. C., Aguena, M., Alarcon, A., Allam, S., Alves, O., Amon, A., Andrade-Oliveira, F., Annis, J., Avila, S., Bacon, D., et al. (2022) · Physical Review D

Cosmology and Gravitation TheoriesGalaxies: Formation, Evolution, Phenomena

Cited by 1,124

Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to data calibration

Amon, A., Gruen, D., Troxel, M. A., MacCrann, N., Dodelson, S., Choi, A., Doux, C., Secco, L. F., Samuroff, S., Krause, E., et al. (2022) · Physical Review D

Cosmology and Gravitation TheoriesGalaxies: Formation, Evolution, Phenomena

Cited by 437

Dark Energy Survey Year 3 results: Constraints on extensions to Λ CDM with weak lensing and galaxy clustering

Abbott, T. M. C., Aguena, M., Alarcon, A., Alves, O., Amon, A., Andrade-Oliveira, F., Annis, J., Avila, S., Bacon, D., Baxter, E., et al. (2023) · Physical Review D

Cosmology and Gravitation TheoriesDark Matter and Cosmic Phenomena

Cited by 131

The DECam Local Volume Exploration Survey: Overview and First Data Release

Drlica-Wagner, A., Carlin, J. L., Nidever, D. L., Ferguson, P. S., Kuropatkin, N., Adamów, M., Cerny, W., Choi, Y., Esteves, J. H., Martínez-Vázquez, C. E., et al. (2021) · The Astrophysical Journal Supplement Series

Galaxies: Formation, Evolution, PhenomenaStellar, planetary, and galactic studies

Cited by 120

Forward Global Photometric Calibration of the Dark Energy Survey

Burke, D. L., Rykoff, E. S., Allam, S., Annis, J., Bechtol, K., Bernstein, G. M., Drlica-Wagner, A., Finley, D. A., Gruendl, R. A., James, D. J., et al. (2018) · The Astronomical Journal

Astronomy and Astrophysical ResearchStellar, planetary, and galactic studies

Cited by 111

How Many Kilonovae Can Be Found in Past, Present, and Future Survey Data Sets?

Scolnic, D., Kessler, R., Brout, D., Cowperthwaite, P. S., Soares-Santos, M., Annis, J., Herner, K., Chen, H.-Y., Sako, M., Doctor, Z., et al. (2018) · The Astrophysical Journal Letters

Gamma-ray bursts and supernovaePulsars and Gravitational Waves Research

Cited by 78

DeepGhostBusters: Using Mask R-CNN to Detect and Mask Ghosting and Scattered-Light Artifacts from Optical Survey Images

Tanoglidis, D., Ćiprijanović, A., Drlica-Wagner, A., Nord, B., Wang, M. H. L. S., Amsellem, A. J., Downey, K., Jenkins, S., Kafkes, D., & Zhang, Z. (2021) · arXiv

Astronomy and Astrophysical ResearchAstronomical Observations and Instrumentation

Cited by 25

DeepGhostBusters: Using Mask R-CNN to detect and mask ghosting and scattered-light artifacts from optical survey images

Tanoglidis, D., Ćiprijanović, A., Drlica-Wagner, A., Nord, B., Wang, M. H. L. S., Amsellem, A. J., Downey, K., Jenkins, S., Kafkes, D., & Zhang, Z. (2022) · Astronomy and Computing

Astronomy and Astrophysical ResearchAstronomical Observations and Instrumentation

Cited by 25

A machine learning approach to the detection of ghosting and scattered light artifacts in dark energy survey images

Chang, C., Drlica-Wagner, A., Kent, S. M., Nord, B., Wang, D. M., & Wang, M. H. L. S. (2021) · Astronomy and Computing

Astronomy and Astrophysical ResearchAstronomical Observations and Instrumentation

Cited by 9