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1
Mining for Dark Matter Substructure: Inferring Subhalo Population Properties from Strong Lenses with Machine Learning
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Mining for Dark Matter Substructure: Inferring Subhalo Population Properties from Strong Lenses with Machine Learning

Brehmer, Johann ; Mishra-Sharma, Siddharth ; Hermans, Joeri ; Louppe, Gilles ; Cranmer, Kyle

The Astrophysical journal, 2019-11, Vol.886 (1), p.49 [Periódico revisado por pares]

Philadelphia: The American Astronomical Society

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2
The PLATO Simulator: modelling of high-precision high-cadence space-based imaging
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The PLATO Simulator: modelling of high-precision high-cadence space-based imaging

Marcos-Arenal, P. ; Zima, W. ; De Ridder, J. ; Aerts, C. ; Huygen, R. ; Samadi, R. ; Green, J. ; Piotto, G. ; Salmon, S. ; Catala, C. ; Rauer, H.

Astronomy and astrophysics (Berlin), 2014-06, Vol.566, p.np-np [Periódico revisado por pares]

EDP Sciences

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3
SWIFT: A modern highly-parallel gravity and smoothed particle hydrodynamics solver for astrophysical and cosmological applications
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SWIFT: A modern highly-parallel gravity and smoothed particle hydrodynamics solver for astrophysical and cosmological applications

Schaller, Matthieu ; Borrow, Josh ; Draper, Peter W ; Ivkovic, Mladen ; McAlpine, Stuart ; Vandenbroucke, Bert ; Bahé, Yannick ; Chaikin, Evgenii ; Chalk, Aidan B G ; Chan, Tsang Keung ; Correa, Camila ; Marcel van Daalen ; Elbers, Willem ; Gonnet, Pedro ; Hausammann, Loïc ; Helly, John ; Huško, Filip ; Kegerreis, Jacob A ; Nobels, Folkert S J ; Ploeckinger, Sylvia ; Revaz, Yves ; Roper, William J ; Ruiz-Bonilla, Sergio ; Sandnes, Thomas D ; Uyttenhove, Yolan ; Willis, James S ; Xiang, Zhen

arXiv.org, 2024-03

Ithaca: Cornell University Library, arXiv.org

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4
Proposed high order harmonic interferometer for aperture synthesis radio telescope: Theory and computer simulation
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Proposed high order harmonic interferometer for aperture synthesis radio telescope: Theory and computer simulation

Wu, Nailong

arXiv.org, 2024-03

Ithaca: Cornell University Library, arXiv.org

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5
Time-dependent Monte Carlo continuum radiative transfer
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Time-dependent Monte Carlo continuum radiative transfer

Bensberg, A ; Wolf, S

arXiv.org, 2022-10

Ithaca: Cornell University Library, arXiv.org

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6
HOLISMOKES -- IX. Neural network inference of strong-lens parameters and uncertainties from ground-based images
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HOLISMOKES -- IX. Neural network inference of strong-lens parameters and uncertainties from ground-based images

Schuldt, S ; Cañameras, R ; Shu, Y ; Suyu, S H ; Taubenberger, S ; Meinhardt, T ; Leal-Taixé, L

arXiv.org, 2023-03

Ithaca: Cornell University Library, arXiv.org

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7
Planck 2013 results X. Energetic particle effects: characterization, removal, and simulation
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Planck 2013 results X. Energetic particle effects: characterization, removal, and simulation

Planck Collaboration ; Ade, P A R ; Ashdown, M ; Atrio-Barandela, F ; Baccigalupi, C ; Banday, A J ; Battaner, E ; J -P Bernard ; Bersanelli, M ; Bielewicz, P ; Bobin, J ; Bock, J J ; Bridges, M ; Bucher, M ; Burigana, C ; J -F Cardoso ; Challinor, A ; Christensen, P R ; Clements, D L ; Colombi, S ; Couchot, F ; Coulais, A ; Curto, A ; Cuttaia, F ; Davies, R D ; de Bernardis, P ; de Zotti, G ; Diego, J M ; Donzelli, S ; Douspis, M ; Eriksen, H K ; Finelli, F ; Galeotta, S ; Giard, M ; Giraud-Héraud, Y ; Gratton, S ; Gruppuso, A ; Hernández-Monteagudo, C ; Herranz, D ; Hildebrandt, S R ; Hornstrup, A ; Hovest, W ; Jones, W C ; Juvela, M ; Keihänen, E ; Keskitalo, R ; Knoche, J ; Knox, L ; Kurki-Suonio, H ; Leroy, C ; Macías-Pérez, J F ; Mandolesi, N ; Maris, M ; Masi, S ; Matthai, F ; Mazzotta, P ; McGehee, P ; Melchiorri, A ; Mendes, L ; Mennella, A ; Mitra, S ; M -A Miville-Deschênes ; Morgante, G ; Murphy, J A ; Nørgaard-Nielsen, H U ; Novikov, I ; Osborne, S ; Paci, F ; Pagano, L ; Pasian, F ; Piat, M ; Pierpaoli, E ; Plaszczynski, S ; Pointecouteau, E ; Ponthieu, N ; Popa, L ; Poutanen, T ; Rachen, J P ; Racine, B ; Reinecke, M ; Renault, C ; Riller, T ; Ristorcelli, I ; Roudier, G ; Sanselme, L ; Santos, D ; Shellard, E P S ; Stompor, R ; Sudiwala, R ; Sureau, F ; A -S Suur-Uski ; J -F Sygnet ; Tauber, J A ; Toffolatti, L ; Tristram, M ; Umana, G ; Valenziano, L ; Villa, F ; Wade, L A ; Yvon, D

arXiv.org, 2023-08

Ithaca: Cornell University Library, arXiv.org

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8
Image Restoration with Point Spread Function Regularization and Active Learning
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Image Restoration with Point Spread Function Regularization and Active Learning

Peng Jia ; Lv, Jiameng ; Runyu Ning ; Song, Yu ; Li, Nan ; Ji, Kaifan ; Cui, Chenzhou ; Li, Shanshan

arXiv.org, 2023-10

Ithaca: Cornell University Library, arXiv.org

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9
SIDE-real: Supernova Ia Dust Extinction with truncated marginal neural ratio estimation applied to real data
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SIDE-real: Supernova Ia Dust Extinction with truncated marginal neural ratio estimation applied to real data

Karchev, Konstantin ; Grayling, Matthew ; Boyd, Benjamin M ; Trotta, Roberto ; Mandel, Kaisey S ; Weniger, Christoph

arXiv.org, 2024-05

Ithaca: Cornell University Library, arXiv.org

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10
CRPropa 3.2 -- an advanced framework for high-energy particle propagation in extragalactic and galactic spaces
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CRPropa 3.2 -- an advanced framework for high-energy particle propagation in extragalactic and galactic spaces

Rafael Alves Batista ; Julia Becker Tjus ; Dörner, Julien ; Dundovic, Andrej ; Eichmann, Björn ; Frie, Antonius ; Heiter, Christopher ; Hoerbe, Mario R ; Kampert, Karl-Heinz ; Merten, Lukas ; Müller, Gero ; Reichherzer, Patrick ; Saveliev, Andrey ; Schlegel, Leander ; Sigl, Günter ; Arjen van Vliet ; Winchen, Tobias

arXiv.org, 2022-07

Ithaca: Cornell University Library, arXiv.org

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