Source: Furrer, Reinhard; Hediger, Michael (2024). On the orthogonality of zero-mean Gaussian measures: Sufficiently dense sampling. Stochastic Processes and their Applications, 173:104356.

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Euclid Preparation TBD. Characterization of convolutional neural networks for the identification of galaxy-galaxy strong lensing events

Authors : Leuzzi, L; Meneghetti, M; Angora, G

Subjects: Institute for Computational Science; 530 Physics; Space and Planetary Science

Source: Leuzzi, L; Meneghetti, M; Angora, G; Metcalf, R B; Moscardini, L; Rosati, P; Bergamini, P; Calura, F; Clément, B; Gavazzi, R; Gentile, F; Lochner, M; Grillo, C; Vernardos, G; Aghanim, N; Amara, A;

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Magnetic field amplification in cosmological zoom simulations from dwarf galaxies to galaxy groups

Authors : Pakmor, Rüdiger; Bieri, Rebekka; van de Voort, Freeke

Subjects: Institute for Computational Science; 530 Physics; Space and Planetary Science

Source: Pakmor, Rüdiger; Bieri, Rebekka; van de Voort, Freeke; Werhahn, Maria; Fattahi, Azadeh; Guillet, Thomas; Pfrommer, Christoph; Springel, Volker; Talbot, Rosie Y (2024). Magnetic field amplification in

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Free-form and hybrid lens models for SDSS J1004+4112: substructure and central image time delay constraints

Authors : Perera, Derek; Williams, Liliya L R; Liesenborgs, Jori

Subjects: Physics Institute; Institute for Computational Science; 530 Physics

Source: Perera, Derek; Williams, Liliya L R; Liesenborgs, Jori; Ghosh, Agniva; Saha, Prasenjit (2024). Free-form and hybrid lens models for SDSS J1004+4112: substructure and central image time delay

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Quantum computing for chemistry and physics applications from a Monte Carlo perspective

Authors : Mazzola, Guglielmo

Subjects: Institute for Computational Science; 530 Physics; Physical and Theoretical Chemistry

Source: Mazzola, Guglielmo (2024). Quantum computing for chemistry and physics applications from a Monte Carlo perspective. Journal of Chemical Physics, 160(1):010901.

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Speeding up the GENGA N-body integrator on consumer-grade graphics cards

Authors : Brasser, R; Grimm, S L; Hatalova, P

Subjects: Institute for Computational Science; 530 Physics; Space and Planetary Science

Source: Brasser, R; Grimm, S L; Hatalova, P; Stadel, J G (2023). Speeding up the GENGA N-body integrator on consumer-grade graphics cards. Astronomy and Astrophysics, 678:A73.

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Suppressing variance in 21 cm signal simulations during reionization

Authors : Giri, Sambit K; Schneider, Aurel; Maion, Francisco

Subjects: Institute for Computational Science; 530 Physics; Space and Planetary Science

Source: Giri, Sambit K; Schneider, Aurel; Maion, Francisco; Angulo, Raul E (2023). Suppressing variance in 21 cm signal simulations during reionization. Astronomy and Astrophysics, 669:A6.

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Euclid preparation. XXII. Selection of quiescent galaxies from mock photometry using machine learning

Authors : Humphrey, A; Bisigello, L; Cunha, P A C

Subjects: Institute for Computational Science; 530 Physics; Space and Planetary Science

Source: Humphrey, A; Bisigello, L; Cunha, P A C; Bolzonella, M; Fotopoulou, S; Caputi, K; Tortora, C; Zamorani, G; Papaderos, P; Vergani, D; Brinchmann, J; Moresco, M; Amara, A; Auricchio, N; Baldi, M;

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Euclid preparation. XXIV. Calibration of the halo mass function in Λ(ν)CDM cosmologies

Authors : Castro, T; Fumagalli, A; Angulo, R E

Subjects: Institute for Computational Science; 530 Physics; Space and Planetary Science

Source: Castro, T; Fumagalli, A; Angulo, R E; Bocquet, S; Borgani, S; Carbone, C; Dakin, J; Dolag, K; Giocoli, C; Monaco, P; Ragagnin, A; Saro, A; Sefusatti, E; Costanzi, M; Le Brun, A M C; Corasaniti, Pier

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Euclid preparation. XXV. The Euclid Morphology Challenge: Towards model-fitting photometry for billions of galaxies

Authors : Merlin, E; Castellano, M; Bretonnière, H

Subjects: Institute for Computational Science; 530 Physics; Space and Planetary Science

Source: Merlin, E; Castellano, M; Bretonnière, H; Huertas-Company, M; Kuchner, U; Tuccillo, D; Buitrago, F; Peterson, J R; Conselice, C J; Caro, F; Dimauro, P; Nemani, L; Fontana, A; Kümmel, M; Häußler,

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