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Pushing automated morphological classifications to their limits with the Dark Energy Survey
Pushing automated morphological classifications to their limits with the Dark Energy Survey
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Pushing automated morphological classifications to their limits with the Dark Energy Survey

Vega-Ferrero, J ; Domínguez Sánchez, H ; Bernardi, M ; Huertas-Company, M ; Morgan, R ; Margalef, B ; Aguena, M ; Allam, S ; Annis, J ; Avila, S ; Bacon, D ; Bertin, E ; Brooks, D ; Carnero Rosell, A ; Carrasco Kind, M ; Carretero, J ; Choi, A ; Conselice, C ; Costanzi, M ; da Costa, L N ; Pereira, M E S ; De Vicente, J ; Desai, S ; Ferrero, I ; Fosalba, P ; Frieman, J ; García-Bellido, J ; Gruen, D ; Gruendl, R A ; Gschwend, J ; Gutierrez, G ; Hartley, W G ; Hinton, S R ; Hollowood, D L ; Honscheid, K ; Hoyle, B ; Jarvis, M ; Kim, A G ; Kuehn, K ; Kuropatkin, N ; Lima, M ; Maia, M A G ; Menanteau, F ; Miquel, R ; Ogando, R L C ; Palmese, A ; Paz-Chinchón, F ; Plazas, A A ; Romer, A K ; Sanchez, E ; Scarpine, V ; Schubnell, M ; Serrano, S ; Sevilla-Noarbe, I ; Smith, M ; Suchyta, E ; Swanson, M E C ; Tarle, G ; Tarsitano, F ; To, C ; Tucker, D L ; Varga, T N ; Wilkinson, R D

Monthly notices of the Royal Astronomical Society, 2021-09, Vol.506 (2), p.1927-1943 [Periódico revisado por pares]

United States: Oxford University Press

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2
Rates and delay times of Type Ia supernovae in the Dark Energy Survey
Rates and delay times of Type Ia supernovae in the Dark Energy Survey
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Rates and delay times of Type Ia supernovae in the Dark Energy Survey

Wiseman, P ; Sullivan, M ; Smith, M ; Frohmaier, C ; Vincenzi, M ; Graur, O ; Popovic, B ; Armstrong, P ; Brout, D ; Davis, T M ; Galbany, L ; Hinton, S R ; Kelsey, L ; Kessler, R ; Lidman, C ; Möller, A ; Nichol, R C ; Rose, B ; Scolnic, D ; Toy, M ; Zontou, Z ; Asorey, J ; Carollo, D ; Glazebrook, K ; Lewis, G F ; Tucker, B E ; Abbott, T M C ; Aguena, M ; Allam, S ; Andrade-Oliveira, F ; Annis, J ; Bacon, D ; Bertin, E ; Brooks, D ; Buckley-Geer, E ; Burke, D L ; Carnero Rosell, A ; Carrasco Kind, M ; Carretero, J ; Costanzi, M ; da Costa, L N ; Pereira, M E S ; Desai, S ; Diehl, H T ; Doel, P ; Everett, S ; Ferrero, I ; Flaugher, B ; Fosalba, P ; Frieman, J ; García-Bellido, J ; Gaztanaga, E ; Giannantonio, T ; Gruen, D ; Gruendl, R A ; Gschwend, J ; Gutierrez, G ; Hollowood, D L ; Honscheid, K ; Hoyle, B ; James, D J ; Krause, E ; Kuehn, K ; Kuropatkin, N ; Maia, M A G ; Marshall, J L ; Martini, P ; Menanteau, F ; Miquel, R ; Morgan, R ; Ogando, R L C ; Palmese, A ; Paz-Chinchón, F ; Petravick, D ; Pieres, A ; Plazas Malagón, A A ; Romer, A K ; Sanchez, E ; Scarpine, V ; Schubnell, M ; Serrano, S ; Sevilla-Noarbe, I ; Soares-Santos, M ; Suchyta, E ; Swanson, M E C ; Tarle, G ; Thomas, D ; To, C ; Varga, T N ; Walker, A R

Monthly notices of the Royal Astronomical Society, 2021-09, Vol.506 (3), p.3330-3348 [Periódico revisado por pares]

United States: Oxford University Press

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3
A machine learning approach to galaxy properties: joint redshift–stellar mass probability distributions with Random Forest
A machine learning approach to galaxy properties: joint redshift–stellar mass probability distributions with Random Forest
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A machine learning approach to galaxy properties: joint redshift–stellar mass probability distributions with Random Forest

Mucesh, S ; Hartley, W G ; Palmese, A ; Lahav, O ; Whiteway, L ; Bluck, A F L ; Alarcon, A ; Amon, A ; Bechtol, K ; Bernstein, G M ; Carnero Rosell, A ; Carrasco Kind, M ; Choi, A ; Eckert, K ; Everett, S ; Gruen, D ; Gruendl, R A ; Harrison, I ; Huff, E M ; Kuropatkin, N ; Sevilla-Noarbe, I ; Sheldon, E ; Yanny, B ; Aguena, M ; Allam, S ; Bacon, D ; Bertin, E ; Bhargava, S ; Brooks, D ; Carretero, J ; Castander, F J ; Conselice, C ; Costanzi, M ; Crocce, M ; da Costa, L N ; Pereira, M E S ; De Vicente, J ; Desai, S ; Diehl, H T ; Drlica-Wagner, A ; Evrard, A E ; Ferrero, I ; Flaugher, B ; Fosalba, P ; Frieman, J ; García-Bellido, J ; Gaztanaga, E ; Gerdes, D W ; Gschwend, J ; Gutierrez, G ; Hinton, S R ; Hollowood, D L ; Honscheid, K ; James, D J ; Kuehn, K ; Lima, M ; Lin, H ; Maia, M A G ; Melchior, P ; Menanteau, F ; Miquel, R ; Morgan, R ; Paz-Chinchón, F ; Plazas, A A ; Sanchez, E ; Scarpine, V ; Schubnell, M ; Serrano, S ; Smith, M ; Suchyta, E ; Tarle, G ; Thomas, D ; To, C ; Varga, T N ; Wilkinson, R D

Monthly notices of the Royal Astronomical Society, 2021-04, Vol.502 (2), p.2770-2786 [Periódico revisado por pares]

United States: Oxford University Press

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4
The Dark Energy Survey supernova program: cosmological biases from supernova photometric classification
The Dark Energy Survey supernova program: cosmological biases from supernova photometric classification
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The Dark Energy Survey supernova program: cosmological biases from supernova photometric classification

Vincenzi, M ; Sullivan, M ; Möller, A ; Armstrong, P ; Bassett, B A ; Brout, D ; Carollo, D ; Carr, A ; Davis, T M ; Frohmaier, C ; Galbany, L ; Glazebrook, K ; Graur, O ; Kelsey, L ; Kessler, R ; Kovacs, E ; Lewis, G F ; Lidman, C ; Malik, U ; Nichol, R C ; Popovic, B ; Sako, M ; Scolnic, D ; Smith, M ; Taylor, G ; Tucker, B E ; Wiseman, P ; Aguena, M ; Allam, S ; Annis, J ; Asorey, J ; Bacon, D ; Bertin, E ; Brooks, D ; Burke, D L ; Rosell, A Carnero ; Carretero, J ; Castander, F J ; Costanzi, M ; da Costa, L N ; Pereira, M E S ; De Vicente, J ; Desai, S ; Diehl, H T ; Doel, P ; Everett, S ; Ferrero, I ; Flaugher, B ; Fosalba, P ; Frieman, J ; García-Bellido, J ; Gerdes, D W ; Gruen, D ; Gutierrez, G ; Hinton, S R ; Hollowood, D L ; Honscheid, K ; James, D J ; Kuehn, K ; Kuropatkin, N ; Lahav, O ; Li, T S ; Lima, M ; Maia, M A G ; Marshall, J L ; Miquel, R ; Morgan, R ; Ogando, R L C ; Palmese, A ; Paz-Chinchón, F ; Pieres, A ; Malagón, A A Plazas ; Reil, K ; Roodman, A ; Sanchez, E ; Schubnell, M ; Serrano, S ; Sevilla-Noarbe, I ; Suchyta, E ; Tarle, G ; To, C ; Varga, T N ; Weller, J ; Wilkinson, R D

Monthly notices of the Royal Astronomical Society, 2023-01, Vol.518 (1), p.1106-1127 [Periódico revisado por pares]

United States: Oxford University Press (OUP): Policy P - Oxford Open Option A

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5
Dark energy survey internal consistency tests of the joint cosmological probes analysis with posterior predictive distributions
Dark energy survey internal consistency tests of the joint cosmological probes analysis with posterior predictive distributions
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Dark energy survey internal consistency tests of the joint cosmological probes analysis with posterior predictive distributions

Doux, C ; Baxter, E ; Lemos, P ; Chang, C ; Alarcon, A ; Amon, A ; Campos, A ; Choi, A ; Gatti, M ; Gruen, D ; Jarvis, M ; MacCrann, N ; Park, Y ; Prat, J ; Rau, M M ; Raveri, M ; Samuroff, S ; DeRose, J ; Hartley, W G ; Hoyle, B ; Troxel, M A ; Zuntz, J ; Abbott, T M C ; Aguena, M ; Allam, S ; Annis, J ; Avila, S ; Bacon, D ; Bertin, E ; Bhargava, S ; Brooks, D ; Burke, D L ; Carrasco Kind, M ; Carretero, J ; Cawthon, R ; Costanzi, M ; da Costa, L N ; Pereira, M E S ; Desai, S ; Diehl, H T ; Dietrich, J P ; Doel, P ; Everett, S ; Ferrero, I ; Fosalba, P ; Frieman, J ; García-Bellido, J ; Gerdes, D W ; Giannantonio, T ; Gruendl, R A ; Gschwend, J ; Gutierrez, G ; Hinton, S R ; Hollowood, D L ; Honscheid, K ; Huff, E M ; Huterer, D ; Jain, B ; James, D J ; Krause, E ; Kuehn, K ; Kuropatkin, N ; Lahav, O ; Lidman, C ; Lima, M ; Maia, M A G ; Menanteau, F ; Miquel, R ; Morgan, R ; Muir, J ; Ogando, R L C ; Palmese, A ; Paz-Chinchón, F ; Plazas, A A ; Sanchez, E ; Scarpine, V ; Schubnell, M ; Serrano, S ; Sevilla-Noarbe, I ; Smith, M ; Suchyta, E ; Swanson, M E C ; Tarle, G ; To, C ; Tucker, D L ; Varga, T N ; Weller, J ; Wilkinson, R D

Monthly notices of the Royal Astronomical Society, 2021-05, Vol.503 (2), p.2688-2705 [Periódico revisado por pares]

United States: Oxford University Press

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6
The Dark Energy Survey Supernova Programme: Modelling Selection Efficiency and Observed Core-collapse Supernova Contamination
The Dark Energy Survey Supernova Programme: Modelling Selection Efficiency and Observed Core-collapse Supernova Contamination
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The Dark Energy Survey Supernova Programme: Modelling Selection Efficiency and Observed Core-collapse Supernova Contamination

Vincenzi, M ; Sullivan, M ; Graur, O ; Brout, D ; Davis, T M ; Frohmaier, C ; Galbany, L ; Gutierrez, C P ; Hinton, S R ; Hounsell, R ; Kelsey, L ; Kessler, R ; Kovacs, E ; Kuhlmann, S ; Lasker, J ; Lidman, C ; Moller, A ; Nichol, R C ; Sako, M ; Scolnic, D ; Smith, M ; Swann, E ; Wiseman, P ; Asore, J ; Lewis, G F ; Sharp, R ; Tucker, B E ; Aguena, M ; Allam, S ; Avila, S ; Bertin, E ; Brooks, D ; Burke, D L ; Rosell, A Carnero ; Kind, M Carrasco ; Carretero, J ; Castander, F J ; Choi, A ; Costanzi, M ; Costa, L N da ; Pereira, M E S ; Vicente, J De ; Desai, S ; Diehl, H T ; Doel, P ; Everett, S ; Ferrero, I ; Fosalba, P ; Frieman, J ; Garcia-Bellido, J ; Gaztanaga, E ; Gerdes, D W ; Gruen, D ; Gruendl, R A ; Gutierrez, G ; Hollowood, D L ; Honscheid, K ; Hoyle, B ; James, D J ; Kuehn, K ; Kuropatkin, N ; Maia, M A G ; Martini, P ; Menanteau, F ; Miquel, R ; Morgan, R ; Palmese, A ; Paz-Chinchon, F ; Plazas, A A ; Romer, A K ; Sanchez, E ; Scarpine, V ; Serrano, S ; Sevilla-Noarbe, I ; Soares-Santos, M ; Suchyta, E ; Tarle, G ; Thomas, D ; To, C ; Varga, T N ; Walker, A R ; Wilkinson, R D

Monthly notices of the Royal Astronomical Society, 2021-08, Vol.505 (2), p.2819-2839 [Periódico revisado por pares]

Goddard Space Flight Center: Oxford Academic

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7
Dark Energy Survey Year 3 results: marginalization over redshift distribution uncertainties using ranking of discrete realizations
Dark Energy Survey Year 3 results: marginalization over redshift distribution uncertainties using ranking of discrete realizations
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Dark Energy Survey Year 3 results: marginalization over redshift distribution uncertainties using ranking of discrete realizations

Cordero, Juan P ; Harrison, Ian ; Rollins, Richard P ; Bernstein, G M ; Bridle, S L ; Alarcon, A ; Alves, O ; Amon, A ; Andrade-Oliveira, F ; Camacho, H ; Campos, A ; Choi, A ; DeRose, J ; Dodelson, S ; Eckert, K ; Eifler, T F ; Everett, S ; Fang, X ; Friedrich, O ; Gruen, D ; Gruendl, R A ; Hartley, W G ; Huff, E M ; Krause, E ; Kuropatkin, N ; MacCrann, N ; McCullough, J ; Myles, J ; Pandey, S ; Raveri, M ; Rosenfeld, R ; Rykoff, E S ; Sánchez, C ; Sánchez, J ; Sevilla-Noarbe, I ; Sheldon, E ; Troxel, M ; Wechsler, R ; Yanny, B ; Yin, B ; Zhang, Y ; Aguena, M ; Allam, S ; Bertin, E ; Brooks, D ; Burke, D L ; Carnero Rosell, A ; Carrasco Kind, M ; Carretero, J ; Castander, F J ; Cawthon, R ; Costanzi, M ; da Costa, L ; da Silva Pereira, M E ; De Vicente, J ; Diehl, H T ; Dietrich, J ; Doel, P ; Elvin-Poole, J ; Ferrero, I ; Flaugher, B ; Fosalba, P ; Frieman, J ; Garcia-Bellido, J ; Gerdes, D ; Gschwend, J ; Gutierrez, G ; Hinton, S ; Hollowood, D L ; Honscheid, K ; Hoyle, B ; James, D ; Kuehn, K ; Lahav, O ; Maia, M A G ; March, M ; Menanteau, F ; Miquel, R ; Morgan, R ; Muir, J ; Palmese, A ; Paz-Chinchon, F ; Pieres, A ; Plazas Malagón, A ; Sánchez, E ; Scarpine, V ; Serrano, S ; Smith, M ; Soares-Santos, M ; Suchyta, E ; Swanson, M ; Tarle, G ; Thomas, D ; To, C ; Varga, T N

Monthly notices of the Royal Astronomical Society, 2022-02, Vol.511 (2), p.2170-2185 [Periódico revisado por pares]

United Kingdom: Oxford University Press

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8
Dark Energy Survey year 3 results: covariance modelling and its impact on parameter estimation and quality of fit
Dark Energy Survey year 3 results: covariance modelling and its impact on parameter estimation and quality of fit
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Dark Energy Survey year 3 results: covariance modelling and its impact on parameter estimation and quality of fit

Friedrich, O ; Andrade-Oliveira, F ; Camacho, H ; Alves, O ; Rosenfeld, R ; Sanchez, J ; Fang, X ; Eifler, T F ; Krause, E ; Chang, C ; Omori, Y ; Amon, A ; Baxter, E ; Elvin-Poole, J ; Huterer, D ; Porredon, A ; Prat, J ; Terra, V ; Troja, A ; Alarcon, A ; Bechtol, K ; Bernstein, G M ; Buchs, R ; Campos, A ; Carnero Rosell, A ; Carrasco Kind, M ; Cawthon, R ; Cordero, J ; Crocce, M ; DeRose, J ; Diehl, H T ; Dodelson, S ; Doux, C ; Drlica-Wagner, A ; Everett, S ; Fosalba, P ; Gatti, M ; Giannini, G ; Gruen, D ; Gruendl, R A ; Harrison, I ; Hartley, W G ; Jain, B ; Jarvis, M ; MacCrann, N ; McCullough, J ; Muir, J ; Myles, J ; Pandey, S ; Raveri, M ; Roodman, A ; Rodriguez-Monroy, M ; Rykoff, E S ; Samuroff, S ; Sánchez, C ; Secco, L F ; Sevilla-Noarbe, I ; Troxel, M A ; Weaverdyck, N ; Yanny, B ; Aguena, M ; Avila, S ; Bacon, D ; Bertin, E ; Brooks, D ; Burke, D L ; Costanzi, M ; Pereira, M E S ; De Vicente, J ; Desai, S ; Evrard, A E ; Ferrero, I ; García-Bellido, J ; Gaztanaga, E ; Gerdes, D W ; Giannantonio, T ; Gschwend, J ; Hinton, S R ; Hollowood, D L ; Honscheid, K ; James, D J ; Kuehn, K ; Lahav, O ; Maia, M A G ; Menanteau, F ; Miquel, R ; Morgan, R ; Palmese, A ; Paz-Chinchón, F ; Plazas, A A ; Sanchez, E ; Scarpine, V ; Serrano, S ; Smith, M ; Suchyta, E ; Tarle, G ; Thomas, D ; To, C ; Varga, T N ; Weller, J

Monthly notices of the Royal Astronomical Society, 2021-12, Vol.508 (3), p.3125-3165 [Periódico revisado por pares]

United Kingdom: Oxford University Press

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9
Consistency of cosmic shear analyses in harmonic and real space
Consistency of cosmic shear analyses in harmonic and real space
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Consistency of cosmic shear analyses in harmonic and real space

Doux, C ; Chang, C ; Jain, B ; Blazek, J ; Camacho, H ; Fang, X ; Gatti, M ; Krause, E ; MacCrann, N ; Samuroff, S ; Secco, L F ; Troxel, M A ; Zuntz, J ; Aguena, M ; Allam, S ; Amon, A ; Avila, S ; Bacon, D ; Bertin, E ; Brooks, D ; Burke, D L ; Carnero Rosell, A ; Carrasco Kind, M ; Carretero, J ; Choi, A ; Costanzi, M ; Crocce, M ; da Costa, L N ; Pereira, M E S ; Davis, T M ; Dietrich, J P ; Doel, P ; Ferrero, I ; Ferté, A ; Fosalba, P ; García-Bellido, J ; Gaztanaga, E ; Gerdes, D W ; Gruen, D ; Gruendl, R A ; Gschwend, J ; Gutierrez, G ; Hartley, W G ; Hinton, S R ; Hollowood, D L ; Huterer, D ; James, D J ; Kuehn, K ; Kuropatkin, N ; Maia, M A G ; Marshall, J L ; Menanteau, F ; Miquel, R ; Morgan, R ; Palmese, A ; Paz-Chinchón, F ; Plazas, A A ; Roodman, A ; Sanchez, E ; Schubnell, M ; Serrano, S ; Sevilla-Noarbe, I ; Smith, M ; Soares-Santos, M ; Suchyta, E ; Tarle, G ; To, C ; Varga, T N ; Weller, J ; Wilkinson, R D

Monthly notices of the Royal Astronomical Society, 2021-05, Vol.503 (3), p.3796-3817 [Periódico revisado por pares]

United Kingdom: Oxford University Press

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10
Dwarf AGNs from Optical Variability for the Origins of Seeds (DAVOS): insights from the dark energy survey deep fields
Dwarf AGNs from Optical Variability for the Origins of Seeds (DAVOS): insights from the dark energy survey deep fields
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Dwarf AGNs from Optical Variability for the Origins of Seeds (DAVOS): insights from the dark energy survey deep fields

Burke, Colin J ; Liu, Xin ; Shen, Yue ; Phadke, Kedar A ; Yang, Qian ; Hartley, Will G ; Harrison, Ian ; Palmese, Antonella ; Guo, Hengxiao ; Zhang, Kaiwen ; Kron, Richard ; Turner, David J ; Giles, Paul A ; Lidman, Christopher ; Chen, Yu-Ching ; Gruendl, Robert A ; Choi, Ami ; Amon, Alexandra ; Sheldon, Erin ; Aguena, M ; Allam, S ; Andrade-Oliveira, F ; Bacon, D ; Bertin, E ; Brooks, D ; Rosell, A Carnero ; Kind, M Carrasco ; Carretero, J ; Conselice, C ; Costanzi, M ; da Costa, L N ; Pereira, M E S ; Davis, T M ; De Vicente, J ; Desai, S ; Diehl, H T ; Everett, S ; Ferrero, I ; Flaugher, B ; García-Bellido, J ; Gaztanaga, E ; Gruen, D ; Gschwend, J ; Gutierrez, G ; Hinton, S R ; Hollowood, D L ; Honscheid, K ; Hoyle, B ; James, D J ; Kuehn, K ; Maia, M A G ; Marshall, J L ; Menanteau, F ; Miquel, R ; Morgan, R ; Paz-Chinchón, F ; Pieres, A ; Malagón, A A Plazas ; Reil, K ; Romer, A K ; Sanchez, E ; Schubnell, M ; Serrano, S ; Sevilla-Noarbe, I ; Smith, M ; Suchyta, E ; Tarle, G ; Thomas, D ; To, C ; Varga, T N ; Wilkinson, R D

Monthly notices of the Royal Astronomical Society, 2022-09, Vol.516 (2), p.2736-2756 [Periódico revisado por pares]

United States: Oxford University Press

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