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Lifting weak lensing degeneracies with a field-based likelihood

MNRAS 2022

Authors:

Natalia Porqueres, Alan Heavens, Daniel Mortlock, Guilhem Lavaux

Abstract:

We present a field-based approach to the analysis of cosmic shear data to infer jointly cosmological parameters and the dark matter distribution. This forward modelling approach samples the cosmological parameters and the initial matter fluctuations, using a physical gravity model to link the primordial fluctuations to the non-linear matter distribution. Cosmological parameters are sampled and updated consistently through the forward model, varying (1) the initial matter power spectrum, (2) the geometry through the distance-redshift relationship, and (3) the growth of structure and light-cone effects. Our approach extracts more information from the data than methods based on two-point statistics. We find that this field-based approach lifts the strong degeneracy between the cosmological matter density, Ωm, and the fluctuation amplitude, σ8, providing tight constraints on these parameters from weak lensing data alone. In the simulated four-bin tomographic experiment we consider, the field-based likelihood yields marginal uncertainties on σ8 and Ωm that are, respectively, a factor of 3 and 5 smaller than those from a two-point power spectrum analysis applied to the same underlying data.
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Euclid preparation

Astronomy & Astrophysics EDP Sciences 657 (2022) a92

Authors:

AS Borlaff, P Gómez-Alvarez, B Altieri, PM Marcum, R Vavrek, R Laureijs, R Kohley, F Buitrago, J-C Cuillandre, P-A Duc, LM Gaspar Venancio, A Amara, S Andreon, N Auricchio, R Azzollini, C Baccigalupi, A Balaguera-Antolínez, M Baldi, S Bardelli, R Bender, A Biviano, C Bodendorf, D Bonino, E Bozzo, E Branchini, M Brescia, J Brinchmann, C Burigana, R Cabanac, S Camera, GP Candini, V Capobianco, A Cappi, C Carbone, J Carretero, CS Carvalho, S Casas, FJ Castander, M Castellano, G Castignani, S Cavuoti, A Cimatti, R Cledassou, C Colodro-Conde, G Congedo, CJ Conselice, L Conversi, Y Copin, L Corcione, J Coupon, HM Courtois, M Cropper, A Da Silva, H Degaudenzi, D Di Ferdinando, M Douspis, F Dubath, CAJ Duncan, X Dupac, S Dusini, A Ealet, M Fabricius, M Farina, S Farrens, PG Ferreira, S Ferriol, F Finelli, P Flose-Reimberg, P Fosalba, M Frailis, E Franceschi, M Fumana, S Galeotta, K Ganga, B Garilli, B Gillis, C Giocoli, G Gozaliasl, J Graciá-Carpio, A Grazian, F Grupp, SVH Haugan, W Holmes, F Hormuth, K Jahnke, E Keihanen, S Kermiche, A Kiessling, M Kilbinger, CC Kirkpatrick, T Kitching, JH Knapen, B Kubik, M Kümmel, M Kunz, H Kurki-Suonio, P Liebing, S Ligori, PB Lilje, V Lindholm, I Lloro, G Mainetti, D Maino, O Mansutti, O Marggraf, K Markovic, M Martinelli, N Martinet, D Martínez-Delgado, F Marulli, R Massey, M Maturi, S Maurogordato, E Medinaceli, S Mei, M Meneghetti, E Merlin, RB Metcalf, G Meylan, M Moresco, G Morgante, L Moscardini, E Munari, R Nakajima, C Neissner, SM Niemi, JW Nightingale, A Nucita, C Padilla, S Paltani, F Pasian, L Patrizii, K Pedersen, WJ Percival, V Pettorino, S Pires, M Poncet, L Popa, D Potter, L Pozzetti, F Raison, R Rebolo, A Renzi, J Rhodes, G Riccio, E Romelli, M Roncarelli, C Rosset, E Rossetti, R Saglia, AG Sánchez, D Sapone, M Sauvage, P Schneider, V Scottez, A Secroun, G Seidel, S Serrano, C Sirignano, G Sirri, J Skottfelt, L Stanco, JL Starck, F Sureau, P Tallada-Crespí, AN Taylor, M Tenti, I Tereno, R Teyssier, R Toledo-Moreo, F Torradeflot, I Tutusaus, EA Valentijn, L Valenziano, J Valiviita, T Vassallo, M Viel, Y Wang, J Weller, L Whittaker, A Zacchei, G Zamorani, E Zucca
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Euclid preparation

Astronomy & Astrophysics EDP Sciences 657 (2022) a91

Authors:

S Ilić, N Aghanim, C Baccigalupi, JR Bermejo-Climent, G Fabbian, L Legrand, D Paoletti, M Ballardini, M Archidiacono, M Douspis, F Finelli, K Ganga, C Hernández-Monteagudo, M Lattanzi, D Marinucci, M Migliaccio, C Carbone, S Casas, M Martinelli, I Tutusaus, P Natoli, P Ntelis, L Pagano, L Wenzl, A Gruppuso, T Kitching, M Langer, N Mauri, L Patrizii, A Renzi, G Sirri, L Stanco, M Tenti, P Vielzeuf, F Lacasa, G Polenta, V Yankelevich, A Blanchard, Z Sakr, A Pourtsidou, S Camera, VF Cardone, M Kilbinger, M Kunz, K Markovic, V Pettorino, AG Sánchez, D Sapone, A Amara, N Auricchio, R Bender, C Bodendorf, D Bonino, E Branchini, M Brescia, J Brinchmann, V Capobianco, J Carretero, FJ Castander, M Castellano, S Cavuoti, A Cimatti, R Cledassou, G Congedo, CJ Conselice, L Conversi, Y Copin, L Corcione, A Costille, M Cropper, A Da Silva, H Degaudenzi, F Dubath, CAJ Duncan, X Dupac, S Dusini, A Ealet, S Farrens, P Fosalba, M Frailis, E Franceschi, P Franzetti, M Fumana, B Garilli, W Gillard, B Gillis, C Giocoli, A Grazian, F Grupp, L Guzzo, SVH Haugan, H Hoekstra, W Holmes, F Hormuth, P Hudelot, K Jahnke, S Kermiche, A Kiessling, R Kohley, B Kubik, M Kümmel, H Kurki-Suonio, R Laureijs, S Ligori, PB Lilje, I Lloro, O Mansutti, O Marggraf, F Marulli, R Massey, S Maurogordato, M Meneghetti, E Merlin, G Meylan, M Moresco, B Morin, L Moscardini, E Munari, SM Niemi, C Padilla, S Paltani, F Pasian, K Pedersen, W Percival, S Pires, M Poncet, L Popa, L Pozzetti, F Raison, R Rebolo, J Rhodes, M Roncarelli, E Rossetti, R Saglia, R Scaramella, P Schneider, A Secroun, G Seidel, S Serrano, C Sirignano, JL Starck, P Tallada-Crespí, AN Taylor, I Tereno, R Toledo-Moreo, F Torradeflot, EA Valentijn, L Valenziano, GA Verdoes Kleijn, Y Wang, N Welikala, J Weller, G Zamorani, J Zoubian, E Medinaceli, S Mei, C Rosset, F Sureau, T Vassallo, A Zacchei, S Andreon, A Balaguera-Antolínez, M Baldi, S Bardelli, A Biviano, S Borgani, E Bozzo, C Burigana, R Cabanac, A Cappi, CS Carvalho, G Castignani, C Colodro-Conde, J Coupon, HM Courtois, J Cuby, S de la Torre, D Di Ferdinando, H Dole, M Farina, PG Ferreira, P Flose-Reimberg, S Galeotta, G Gozaliasl, J Graciá-Carpio, E Keihanen, CC Kirkpatrick, V Lindholm, G Mainetti, D Maino, N Martinet, M Maturi, RB Metcalf, G Morgante, C Neissner, J Nightingale, AA Nucita, D Potter, G Riccio, E Romelli, M Schirmer, M Schultheis, V Scottez, R Teyssier, A Tramacere, J Valiviita, M Viel, L Whittaker, E Zucca
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Assessing the Impact of Data Set Enrichment to Improve Drug Sensitivity in Cancer

Chapter in Practical Applications of Computational Biology & Bioinformatics, 15th International Conference (PACBB 2021), Springer Nature 325 (2022) 74-84

Authors:

Pedro Ferreira, João Ladeiras, Rui Camacho
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Predicting the water content of interstellar objects from galactic star formation histories

Astrophysical Journal Letters IOP Science 294 (2021) 1

Authors:

Christopher Lintott, Michele Bannister, Ted Mackereth

Abstract:

Planetesimals inevitably bear the signatures of their natal environment, preserving in their composition a record of the metallicity of their system's original gas and dust, albeit one altered by the formation processes. When planetesimals are dispersed from their system of origin, this record is carried with them. As each star is likely to contribute at least 1012 interstellar objects (ISOs), the Galaxy's drifting population of ISOs provides an overview of the properties of its stellar population through time. Using the EAGLE cosmological simulations and models of protoplanetary formation, our modeling predicts an ISO population with a bimodal distribution in their water mass fraction: objects formed in low-metallicity, typically older, systems have a higher water fraction than their counterparts formed in high-metallicity protoplanetary disks, and these water-rich objects comprise the majority of the population. Both detected ISOs seem to belong to the lower water fraction population; these results suggest they come from recently formed systems. We show that the population of ISOs in galaxies with different star formation histories will have different proportions of objects with high and low water fractions. This work suggests that it is possible that the upcoming Vera C. Rubin Observatory Legacy Survey of Space and Time will detect a large enough population of ISOs to place useful constraints on models of protoplanetary disks, as well as galactic structure and evolution.

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