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Scaramella, Roberto
100
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Online (100)
Mediatypes
Articles (Online) (18)
Bookchapter (Online) (1)
OpenAccess-fulltext (81)
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1
Minkowski functionals of convergence maps and the lensing f..:
Vicinanza, Martina
;
Cardone, Vincenzo F.
;
Maoli, Roberto
...
Physical Review D. 99 (2019) 4 - p. , 2019
Link:
https://doi.org/10.1103/..
?
2
Increasing the lensing figure of merit through higher order..:
Vicinanza, Martina
;
Cardone, Vincenzo F.
;
Maoli, Roberto
..
Physical Review D. 97 (2018) 2 - p. , 2018
Link:
https://doi.org/10.1103/..
?
3
Large-scale retrospective relative spectrophotometric self-..:
Markovič, Katarina
;
Percival, Will J.
;
Scodeggio, Marco
...
Monthly Notices of the Royal Astronomical Society. 467 (2017) 3 - p. 3677-3698 , 2017
Link:
https://doi.org/10.1093/..
?
4
The power spectrum of systematics in cosmic shear tomograph..:
Cardone, Vincenzo F.
;
Martinelli, Matteo
;
Calabrese, Erminia
...
Monthly Notices of the Royal Astronomical Society. 439 (2014) 1 - p. 202-220 , 2014
Link:
https://doi.org/10.1093/..
?
5
Defining a weak lensing experiment in space:
Cropper, Mark
;
Hoekstra, Henk
;
Kitching, Thomas
...
Monthly Notices of the Royal Astronomical Society. 431 (2013) 4 - p. 3103-3126 , 2013
Link:
https://doi.org/10.1093/..
?
6
Origins of weak lensing systematics, and requirements on fu..:
Massey, Richard
;
Hoekstra, Henk
;
Kitching, Thomas
...
Monthly Notices of the Royal Astronomical Society. 429 (2012) 1 - p. 661-678 , 2012
Link:
https://doi.org/10.1093/..
?
7
Hunting for Ghosts: Low Surface Brightness Galaxies from Pi..:
Scaramella, Roberto
;
Sabatini, Sabina
Proceedings of the International Astronomical Union. 3 (2007) S244 - p. 295-299 , 2007
Link:
https://doi.org/10.1017/..
?
8
Euclid preparation ; I. The Euclid Wide Survey:
Scaramella, Roberto
;
Casas, Ricard
;
Castander, Francisco J
...
Astronomy and Astrophysics. , 2022
Link:
http://hdl.handle.net/10..
?
9
Euclid preparation. XVII. Cosmic Dawn Survey: Spitzer Space..:
Euclid Collaboration
;
Moneti, A
;
McCracken, H. J
...
ASTRONOMY & ASTROPHYSICS. , 2022
Link:
https://hdl.handle.net/2..
?
10
Euclid preparation. XV. Forecasting cosmological constraint..:
Euclid Collaboration
;
Ilić, S
;
Aghanim, N
...
ASTRONOMY & ASTROPHYSICS. , 2022
Link:
https://hdl.handle.net/2..
?
11
Higher-order statistics of shear field via a machine learni..:
Parroni, Carolina
;
Tollet, Édouard
;
Cardone, Vincenzo F
..
info:eu-repo/semantics/altIdentifier/arxiv/2011.10438. , 2021
Link:
https://hal.science/hal-..
?
12
Euclid : Effects of sample covariance on the number counts ..:
Fumagalli, A
;
SARO, ALEXANDRO
;
BORGANI, STEFANO
...
ASTRONOMY & ASTROPHYSICS. , 2021
Link:
https://hdl.handle.net/2..
?
13
Higher-order statistics of shear field via a machine learni..:
Parroni, Carolina
;
Tollet, Édouard
;
Cardone, Vincenzo F
..
info:eu-repo/semantics/altIdentifier/arxiv/2011.10438. , 2021
Link:
https://hal.science/hal-..
?
14
Higher-order statistics of shear field via a machine learni..:
Parroni, Carolina
;
Tollet, Édouard
;
Cardone, Vincenzo F
..
info:eu-repo/semantics/altIdentifier/arxiv/2011.10438. , 2021
Link:
https://hal.science/hal-..
?
15
Higher-order statistics of shear field via a machine learni..:
Parroni, Carolina
;
Tollet, Édouard
;
Cardone, Vincenzo F
..
info:eu-repo/semantics/altIdentifier/arxiv/2011.10438. , 2021
Link:
https://hal.science/hal-..
1-15