Beecroft Institute for Particle Astrophysics and Cosmology

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Euclid preparation: X. The Euclid photometric-redshift challenge

(2020)

Authors:

Euclid Collaboration, G Desprez, S Paltani, J Coupon, I Almosallam, A Alvarez-Ayllon, V Amaro, M Brescia, M Brodwin, S Cavuoti, J De Vicente-Albendea, S Fotopoulou, PW Hatfield, WG Hartley, O Ilbert, MJ Jarvis, G Longo, R Saha, JS Speagle, A Tramacere, M Castellano, F Dubath, A Galametz, M Kuemmel, C Laigle, E Merlin, JJ Mohr, S Pilo, M Salvato, MM Rau, S Andreon, N Auricchio, C Baccigalupi, A Balaguera-Antolínez, M Baldi, S Bardelli, R Bender, A Biviano, C Bodendorf, D Bonino, E Bozzo, E Branchini, J Brinchmann, C Burigana, R Cabanac, S Camera, V Capobianco, A Cappi, C Carbone, J Carretero, CS Carvalho, R Casas, S Casas, FJ Castander, G Castignani, A Cimatti, R Cledassou, C Colodro-Conde, G Congedo, CJ Conselice, L Conversi, Y Copin, L Corcione, HM Courtois, J-G Cuby, A Da Silva, S de la Torre, H Degaudenzi, D Di Ferdinando, M Douspis, CAJ Duncan, X Dupac, A Ealet, G Fabbian, M Fabricius, S Farrens, PG Ferreira, F Finelli, P Fosalba, N Fourmanoit, M Frailis, E Franceschi, M Fumana, S Galeotta, B Garilli, W Gillard, B Gillis, C Giocoli, G Gozaliasl, J Graciá-Carpio, F Grupp, L Guzzo, M Hailey, SVH Haugan, W Holmes, F Hormuth, A Humphrey, K Jahnke, E Keihanen, S Kermiche, M Kilbinger, CC Kirkpatrick, TD Kitching, R Kohley, B Kubik, M Kunz, H Kurki-Suonio, S Ligori, PB Lilje, I Lloro, D Maino, E Maiorano, O Marggraf, K Markovic, N Martinet, F Marulli, R Massey, M Maturi, N Mauri, S Maurogordato, E Medinaceli, S Mei, M Meneghetti, R Benton Metcalf, G Meylan, M Moresco, L Moscardini, E Munari, S Niemi, C Padilla, F Pasian, L Patrizii, V Pettorino, S Pires, G Polenta, M Poncet, L Popa, D Potter, L Pozzetti, F Raison, A Renzi, J Rhodes, G Riccio, E Rossetti, R Saglia, D Sapone, P Schneider, V Scottez, A Secroun, S Serrano, C Sirignano, G Sirri, L Stanco, D Stern, F Sureau, P Tallada Crespí, D Tavagnacco, AN Taylor, M Tenti, I Tereno, R Toledo-Moreo, F Torradeflot, L Valenziano, J Valiviita, T Vassallo, M Viel, Y Wang, N Welikala, L Whittaker, A Zacchei, G Zamorani, J Zoubian, E Zucca
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Exploring the origin of thick disks using the NewHorizon and Galactica simulations

(2020)

Authors:

Minjung J Park, Sukyoung K Yi, Sebastien Peirani, Christophe Pichon, Yohan Dubois, Hoseung Choi, Julien Devriendt, Sugata Kaviraj, Taysun Kimm, Katarina Kraljic, Marta Volonteri
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Introducing the NewHorizon simulation: Galaxy properties with resolved internal dynamics across cosmic time

(2020)

Authors:

Yohan Dubois, Ricarda Beckmann, Frédéric Bournaud, Hoseung Choi, Julien Devriendt, Ryan Jackson, Sugata Kaviraj, Taysun Kimm, Katarina Kraljic, Clotilde Laigle, Garreth Martin, Min-Jung Park, Sébastien Peirani, Christophe Pichon, Marta Volonteri, Sukyoung K Yi
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Galaxy morphology rules out astrophysically relevant Hu-Sawicki $f(R)$ gravity

(2020)

Authors:

Harry Desmond, Pedro G Ferreira
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Galaxy zoo builder: Four-component photometric decomposition of spiral galaxies guided by citizen science

Astrophysical Journal IOP Publishing 900:2 (2020) 178

Authors:

Timothy K Lingard, Karen L Masters, Coleman Krawczyk, Chris Lintott, Sandor Kruk, Brooke Simmons, Robert Simpson, Steven Bamford, Robert C Nichol, Elisabeth Baeten

Abstract:

Multicomponent modeling of galaxies is a valuable tool in the effort to quantitatively understand galaxy evolution, yet the use of the technique is plagued by issues of convergence, model selection, and parameter degeneracies. These issues limit its application over large samples to the simplest models, with complex models being applied only to very small samples. We attempt to resolve this dilemma of "quantity or quality" by developing a novel framework, built inside the Zooniverse citizen-science platform, to enable the crowdsourcing of model creation for Sloan Digital Sky Survey galaxies. We have applied the method, including a final algorithmic optimization step, on a test sample of 198 galaxies, and examine the robustness of this new method. We also compare it to automated fitting pipelines, demonstrating that it is possible to consistently recover accurate models that either show good agreement with, or improve on, prior work. We conclude that citizen science is a promising technique for modeling images of complex galaxies, and release our catalog of models.
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