Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Alarcón, Àlex"'
We present Diffstar, a smooth parametric model for the in-situ star formation history (SFH) of galaxies. Diffstar is distinct from conventional SFH models that are used to interpret the spectral energy distribution (SED) of an observed galaxy, becaus
Externí odkaz:
http://arxiv.org/abs/2205.04273
Models of stellar population synthesis (SPS) are the fundamental tool that relates the physical properties of a galaxy to its spectral energy distribution (SED). In this paper, we present DSPS: a python package for stellar population synthesis. All o
Externí odkaz:
http://arxiv.org/abs/2112.06830
Autor:
Ramachandra, Nesar, Chaves-Montero, Jonás, Alarcon, Alex, Fadikar, Arindam, Habib, Salman, Heitmann, Katrin
Photometric redshift estimation algorithms are often based on representative data from observational campaigns. Data-driven methods of this type are subject to a number of potential deficiencies, such as sample bias and incompleteness. Motivated by t
Externí odkaz:
http://arxiv.org/abs/2111.12118
We present a new empirical model for the mass assembly of dark matter halos. We approximate the growth of individual halos as a simple power-law function of time, where the power-law index smoothly decreases as the halo transitions from the fast-accr
Externí odkaz:
http://arxiv.org/abs/2105.05859
Autor:
Soo, John Y. H., Joachimi, Benjamin, Eriksen, Martin, Siudek, Małgorzata, Alarcon, Alex, Cabayol, Laura, Carretero, Jorge, Casas, Ricard, Castander, Francisco J., Fernández, Enrique, Garciá-Bellido, Juan, Gaztanaga, Enrique, Hildebrandt, Hendrik, Hoekstra, Henk, Miquel, Ramon, Padilla, Cristobal, Sánchez, Eusebio, Serrano, Santiago, Tallada-Crespí, Pau
We study the performance of the hybrid template-machine-learning photometric redshift (photo-$z$) algorithm Delight, which uses Gaussian processes, on a subset of the early data release of the Physics of the Accelerating Universe Survey (PAUS). We ca
Externí odkaz:
http://arxiv.org/abs/2101.03723
Autor:
Alarcon, Alex, Gaztanaga, Enrique, Eriksen, Martin, Baugh, Carlton M., Cabayol, Laura, Casas, Ricard, Carretero, Jorge, Castander, Francisco J., De Vicente, Juan, Fernandez, Enrique, Garcia-Bellido, Juan, Hildebrandt, Hendrik, Hoekstra, Henk, Joachimi, Benjamin, Manzoni, Giorgio, Miquel, Ramon, Norberg, Peder, Padilla, Cristobal, Renard, Pablo, Sanchez, Eusebio, Serrano, Santiago, Sevilla-Noarbe, Ignacio, Siudek, Malgorzata, Tallada-Crespí, Pau
We present -- and make publicly available -- accurate and precise photometric redshifts in the ACS footprint from the COSMOS field for objects with $i_{\mathrm{AB}}\leq 23$. The redshifts are computed using a combination of narrow band photometry fro
Externí odkaz:
http://arxiv.org/abs/2007.11132
Cosmological analyses of galaxy surveys rely on knowledge of the redshift distribution of their galaxy sample. This is usually derived from a spectroscopic and/or many-band photometric calibrator survey of a small patch of sky. The uncertainties in t
Externí odkaz:
http://arxiv.org/abs/2004.09542
Dark Energy Survey Year 1 Results: Cosmological Constraints from Cluster Abundances and Weak Lensing
Autor:
DES Collaboration, Abbott, Tim, Aguena, Michel, Alarcon, Alex, Allam, Sahar, Allen, Steve, Annis, James, Avila, Santiago, Bacon, David, Bermeo, Alberto, Bernstein, Gary, Bertin, Emmanuel, Bhargava, Sunayana, Bocquet, Sebastian, Brooks, David, Brout, Dillon, Buckley-Geer, Elizabeth, Burke, David, Rosell, Aurelio Carnero, Kind, Matias Carrasco, Carretero, Jorge, Castander, Francisco Javier, Cawthon, Ross, Chang, Chihway, Chen, Xinyi, Choi, Ami, Costanzi, Matteo, Crocce, Martin, da Costa, Luiz, Davis, Tamara, De Vicente, Juan, DeRose, Joseph, Desai, Shantanu, Diehl, H. Thomas, Dietrich, Jörg, Dodelson, Scott, Doel, Peter, Drlica-Wagner, Alex, Eckert, Kathleen, Eifler, Tim, Elvin-Poole, Jack, Estrada, Juan, Everett, Spencer, Evrard, August, Farahi, Arya, Ferrero, Ismael, Flaugher, Brenna, Fosalba, Pablo, Frieman, Josh, Garcia-Bellido, Juan, Gatti, Marco, Gaztanaga, Enrique, Gerdes, David, Giannantonio, Tommaso, Giles, Paul, Grandis, Sebastian, Gruen, Daniel, Gruendl, Robert, Gschwend, Julia, Gutierrez, Gaston, Hartley, Will, Hinton, Samuel, Hollowood, Devon L., Honscheid, Klaus, Hoyle, Ben, Huterer, Dragan, James, David, Jarvis, Mike, Jeltema, Tesla, Johnson, Margaret, Kent, Stephen, Krause, Elisabeth, Kron, Richard, Kuehn, Kyler, Kuropatkin, Nikolay, Lahav, Ofer, Li, Ting, Lidman, Christopher, Lima, Marcos, Lin, Huan, MacCrann, Niall, Maia, Marcio, Mantz, Adam, Marshall, Jennifer, Martini, Paul, Mayers, Julian, Melchior, Peter, Mena, Juan, Menanteau, Felipe, Miquel, Ramon, Mohr, Joe, Nichol, Robert, Nord, Brian, Ogando, Ricardo, Palmese, Antonella, Paz-Chinchon, Francisco, Malagón, Andrés Plazas, Prat, Judit, Rau, Markus Michael, Romer, Kathy, Roodman, Aaron, Rooney, Philip, Rozo, Eduardo, Rykoff, Eli, Sako, Masao, Samuroff, Simon, Sanchez, Carles, Saro, Alexandro, Scarpine, Vic, Schubnell, Michael, Scolnic, Daniel, Serrano, Santiago, Sevilla, Ignacio, Sheldon, Erin, Smith, J. Allyn, Suchyta, Eric, Swanson, Molly, Tarle, Gregory, Thomas, Daniel, To, Chun-Hao, Troxel, Michael A., Tucker, Douglas, Varga, Tamas Norbert, von der Linden, Anja, Walker, Alistair, Wechsler, Risa, Weller, Jochen, Wilkinson, Reese, Wu, Hao-Yi, Yanny, Brian, Zhang, Zhuowen, Zuntz, Joe
Publikováno v:
Phys. Rev. D 102, 023509 (2020)
We perform a joint analysis of the counts and weak lensing signal of redMaPPer clusters selected from the Dark Energy Survey (DES) Year 1 dataset. Our analysis uses the same shear and source photometric redshifts estimates as were used in the DES com
Externí odkaz:
http://arxiv.org/abs/2002.11124
Photometric galaxy surveys constitute a powerful cosmological probe but rely on the accurate characterization of their redshift distributions using only broadband imaging, and can be very sensitive to incomplete or biased priors used for redshift cal
Externí odkaz:
http://arxiv.org/abs/1910.07127
Autor:
Cabayol-Garcia, Laura, Eriksen, Martin B., Alarcón, Àlex, Amara, Adam, Carretero, Jorge, Casas, Ricard, Castander, Francisco Javier, Fernández, Enrique, García-Bellido, Juan, Gaztanaga, Enrique, Hoekstra, Henk, Miquel, Ramon, Neissner, Christian, Padilla, Cristobal, Sánchez, Eusebio, Serrano, Santiago, Sevilla-Noarbe, Ignacio, Siudek, Malgorzata, Tallada, Pau, Tortorelli, Luca
In any imaging survey, measuring accurately the astronomical background light is crucial to obtain good photometry. This paper introduces BKGnet, a deep neural network to predict the background and its associated error. BKGnet has been developed for
Externí odkaz:
http://arxiv.org/abs/1910.02075