Finding radio transients with anomaly detection and active learning based on volunteer classifications

(2024)

Authors:

Alex Andersson, Chris Lintott, Rob Fender, Michelle Lochner, Patrick Woudt, Jakob van den Eijnden, Alexander van der Horst, Assaf Horesh, Payaswini Saikia, Gregory R Sivakoff, Lilia Tremou, Mattia Vaccari

Euclid preparation

Astronomy & Astrophysics EDP Sciences 690 (2024) a103

Authors:

S Serrano, P Hudelot, G Seidel, JE Pollack, E Jullo, F Torradeflot, D Benielli, R Fahed, T Auphan, J Carretero, H Aussel, P Casenove, FJ Castander, JE Davies, N Fourmanoit, S Huot, A Kara, E Keihänen, S Kermiche, K Okumura, J Zoubian, A Ealet, A Boucaud, H Bretonnière, R Casas, B Clément, CAJ Duncan, K George, K Kiiveri, H Kurki-Suonio, M Kümmel, D Laugier, G Mainetti, JJ Mohr, A Montoro, C Neissner, C Rosset, M Schirmer, P Tallada-Crespí, N Tonello, A Venhola, A Verderi, A Zacchei, N Aghanim, B Altieri, A Amara, S Andreon, N Auricchio, R Azzollini, C Baccigalupi, M Baldi, S Bardelli, A Basset, P Battaglia, F Bernardeau, C Bodendorf, D Bonino, E Branchini, M Brescia, J Brinchmann, S Camera, GP Candini, V Capobianco, C Carbone, S Casas, M Castellano, G Castignani, S Cavuoti, A Cimatti, R Cledassou, C Colodro-Conde, G Congedo, CJ Conselice, L Conversi, Y Copin, L Corcione, F Courbin, HM Courtois, M Crocce, M Cropper, A Da Silva, H Degaudenzi, G De Lucia, AM Di Giorgio, J Dinis, F Dubath, X Dupac, S Dusini, M Farina, S Farrens, S Ferriol, M Frailis, E Franceschi, P Franzetti, S Galeotta, B Garilli, W Gillard, B Gillis, C Giocoli, BR Granett, A Grazian, F Grupp, L Guzzo, SVH Haugan, J Hoar, H Hoekstra, W Holmes, I Hook, F Hormuth, A Hornstrup, K Jahnke, B Joachimi, A Kiessling, T Kitching, R Kohley, M Kunz, Q Le Boulc’h, P Liebing, S Ligori, PB Lilje, V Lindholm, I Lloro, D Maino, E Maiorano, O Mansutti, S Marcin, O Marggraf, K Markovic, M Martinelli, N Martinet, F Marulli, R Massey, S Maurogordato, E Medinaceli, S Mei, M Melchior, Y Mellier, M Meneghetti, E Merlin, G Meylan, M Moresco, P Morris, L Moscardini, E Munari, R Nakajima, S-M Niemi, T Nutma, C Padilla, S Paltani, F Pasian, K Pedersen, WJ Percival, V Pettorino, S Pires, G Polenta, M Poncet, LA Popa, L Pozzetti, F Raison, R Rebolo, A Renzi, J Rhodes, G Riccio, E Romelli, M Roncarelli, E Rossetti, B Rusholme, R Saglia, Z Sakr, AG Sánchez, D Sapone, B Sartoris, M Sauvage, P Schneider, T Schrabback, M Scodeggio, A Secroun, C Sirignano, G Sirri, J Skottfelt, L Stanco, J-L Starck, J Steinwagner, AN Taylor, H Teplitz, I Tereno, R Toledo-Moreo, I Tutusaus, EA Valentijn, L Valenziano, T Vassallo, A Veropalumbo, Y Wang, J Weller, G Zamorani, E Zucca, A Biviano, E Bozzo, D Di Ferdinando, R Farinelli, J Graciá-Carpio, N Mauri, V Scottez, M Tenti, Y Akrami, V Allevato, M Ballardini, A Blanchard, S Borgani, AS Borlaff, S Bruton, C Burigana, A Cappi, CS Carvalho, T Castro, G Cañas-Herrera, KC Chambers, AR Cooray, J Coupon, S Davini, S de la Torre, S Desai, G Desprez, A Díaz-Sánchez, S Di Domizio, H Dole, JA Escartin Vigo, S Escoffier, I Ferrero, F Finelli, L Gabarra, K Ganga, J Garcia-Bellido, E Gaztanaga, F Giacomini, G Gozaliasl, A Gregorio, H Hildebrandt, M Huertas-Company, O Ilbert, A Jimenez Muñoz, JJE Kajava, V Kansal, CC Kirkpatrick, L Legrand, A Loureiro, J Macias-Perez, M Magliocchetti, R Maoli, CJAP Martins, S Matthew, L Maurin, RB Metcalf, M Migliaccio, P Monaco, G Morgante, S Nadathur, AA Nucita, M Pöntinen, V Popa, C Porciani, D Potter, P Reimberg, A Schneider, M Sereno, A Shulevski, P Simon, A Spurio Mancini, J Stadel, M Tewes, R Teyssier, S Toft, M Tucci, J Valiviita, M Viel, IA Zinchenko

JADES NIRSpec initial data release for the Hubble Ultra Deep Field

Astronomy & Astrophysics EDP Sciences 690 (2024) a288

Authors:

Andrew J Bunker, Alex J Cameron, Emma Curtis-Lake, Peter Jakobsen, Stefano Carniani, Mirko Curti, Joris Witstok, Roberto Maiolino, Francesco D’Eugenio, Tobias J Looser, Chris Willott, Nina Bonaventura, Kevin Hainline, Hannah Übler, Christopher NA Willmer, Aayush Saxena, Renske Smit, Stacey Alberts, Santiago Arribas, William M Baker, Stefi Baum, Rachana Bhatawdekar, Rebecca AA Bowler, Kristan Boyett, Stephane Charlot, Zuyi Chen, Jacopo Chevallard, Chiara Circosta, Christa DeCoursey, Anna de Graaff, Eiichi Egami, Daniel J Eisenstein, Ryan Endsley, Pierre Ferruit, Giovanna Giardino, Ryan Hausen, Jakob M Helton, Raphael E Hviding, Zhiyuan Ji, Benjamin D Johnson, Gareth C Jones, Nimisha Kumari, Isaac Laseter, Nora Lützgendorf, Michael V Maseda, Erica Nelson, Eleonora Parlanti, Michele Perna, Bernard J Rauscher, Tim Rawle, Hans-Walter Rix, Marcia Rieke, Brant Robertson, Bruno Rodríguez Del Pino, Lester Sandles, Jan Scholtz, Katherine Sharpe, Maya Skarbinski, Daniel P Stark, Fengwu Sun, Sandro Tacchella, Michael W Topping, Natalia C Villanueva, Imaan EB Wallace, Christina C Williams, Charity Woodrum

The ALMA-CRISTAL survey

Astronomy & Astrophysics EDP Sciences 690 (2024) a197

Authors:

Ikki Mitsuhashi, Ken-ichi Tadaki, Ryota Ikeda, Rodrigo Herrera-Camus, Manuel Aravena, Ilse De Looze, Natascha M Förster Schreiber, Jorge González-López, Justin Spilker, Roberto J Assef, Rychard Bouwens, Loreto Barcos-Munoz, Jack Birkin, Rebecca AA Bowler, Gabriela Calistro Rivera, Rebecca Davies, Elisabete Da Cunha, Tanio Díaz-Santos, Andrea Ferrara, Deanne B Fisher, Lilian L Lee, Juno Li, Dieter Lutz, Monica Relaño, Thorsten Naab, Marco Palla, Ana Posses, Manuel Solimano, Linda Tacconi, Hannah Übler, Stefan van der Giessen, Sylvain Veilleux

Euclid preparation

Astronomy & Astrophysics EDP Sciences 690 (2024) ARTN A30

Authors:

F Dournac, A Blanchard, S Ilić, B Lamine, I Tutusaus, A Amara, S Andreon, N Auricchio, H Aussel, M Baldi, S Bardelli, C Bodendorf, D Bonino, E Branchini, S Brau-Nogue, M Brescia, J Brinchmann, S Camera, V Capobianco, J Carretero, S Casas, M Castellano, S Cavuoti, A Cimatti, G Congedo, Cj Conselice, L Conversi, Y Copin, F Courbin, Hm Courtois, A Da Silva, H Degaudenzi, Am Di Giorgio, J Dinis, M Douspis, F Dubath, X Dupac, S Dusini, A Ealet, M Farina, S Farrens, S Ferriol, M Frailis, E Franceschi, S Galeotta, W Gillard, B Gillis, C Giocoli, Br Granett, A Grazian

Abstract:

Future data provided by the Euclid mission will allow us to better understand the cosmic history of the Universe. A metric of its performance is the figure-of-merit (FoM) of dark energy, usually estimated with Fisher forecasts. The expected FoM has previously been estimated taking into account the two main probes of Euclid, namely the three-dimensional clustering of the spectroscopic galaxy sample, and the so-called 3×2pt signal from the photometric sample (i.e., the weak lensing signal, the galaxy clustering, and their cross-correlation). So far, these two probes have been treated as independent. In this paper, we introduce a new observable given by the ratio of the (angular) two-point correlation function of galaxies from the two surveys. For identical (normalised) selection functions, this observable is unaffected by sampling noise, and its variance is solely controlled by Poisson noise. We present forecasts for Euclid where this multi-tracer method is applied and is particularly relevant because the two surveys will cover the same area of the sky. This method allows for the exploitation of the combination of the spectroscopic and photometric samples. When the correlation between this new observable and the other probes is not taken into account, a significant gain is obtained in the FoM, as well as in the constraints on other cosmological parameters. The benefit is more pronounced for a commonly investigated modified gravity model, namely the γ parametrisation of the growth factor. However, the correlation between the different probes is found to be significant and hence the actual gain is uncertain. We present various strategies for circumventing this issue and still extract useful information from the new observable.