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Bonnett, C.
392
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1
Barriers to older adults seeking sexual health advice and t..:
Ezhova, I.
;
Savidge, L.
;
Bonnett, C.
...
International Journal of Nursing Studies. 107 (2020) - p. 103566 , 2020
Link:
https://doi.org/10.1016/..
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2
Dark Energy Survey Year 1 results: cross-correlation redshi..:
Gatti, M
;
Vielzeuf, P
;
Davis, C
...
Monthly Notices of the Royal Astronomical Society. 477 (2018) 2 - p. 1664-1682 , 2018
Link:
https://doi.org/10.1093/..
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3
Star-galaxy classification in the Dark Energy Survey Y1 dat..:
Sevilla-Noarbe, I
;
Hoyle, B
;
Marchã, M J
...
Monthly Notices of the Royal Astronomical Society. , 2018
Link:
https://doi.org/10.1093/..
?
4
Dark Energy Survey Year 1 Results: calibration of redMaGiC ..:
Cawthon, R
;
Davis, C
;
Gatti, M
...
Monthly Notices of the Royal Astronomical Society. 481 (2018) 2 - p. 2427-2443 , 2018
Link:
https://doi.org/10.1093/..
?
5
Dark Energy Survey Year 1 results: curved-sky weak lensing ..:
Chang, C
;
Pujol, A
;
Mawdsley, B
...
Monthly Notices of the Royal Astronomical Society. 475 (2018) 3 - p. 3165-3190 , 2018
Link:
https://doi.org/10.1093/..
?
6
Dark Energy Survey Year 1 Results: redshift distributions o..:
Hoyle, B
;
Gruen, D
;
Bernstein, G M
...
Monthly Notices of the Royal Astronomical Society. 478 (2018) 1 - p. 592-610 , 2018
Link:
https://doi.org/10.1093/..
?
7
Galaxy bias from galaxy–galaxy lensing in the DES science v..:
Prat, J.
;
Sánchez, C.
;
Miquel, R.
...
Monthly Notices of the Royal Astronomical Society. 473 (2017) 2 - p. 1667-1684 , 2017
Link:
https://doi.org/10.1093/..
?
8
A workflow for exploration sampling in regolith-dominated t..:
Gazley, M. F.
;
Bonnett, L. C.
;
Fisher, L. A.
..
Australian Journal of Earth Sciences. 64 (2017) 7 - p. 903-917 , 2017
Link:
https://doi.org/10.1080/..
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9
Weak-lensing mass calibration of redMaPPer galaxy clusters ..:
Melchior, P.
;
Gruen, D.
;
McClintock, T.
...
Monthly Notices of the Royal Astronomical Society. 469 (2017) 4 - p. 4899-4920 , 2017
Link:
https://doi.org/10.1093/..
?
10
Cosmology from cosmic shear with Dark Energy Survey Science..:
Abbott, T.
;
Abdalla, F. B.
;
Allam, S.
...
Physical Review D. 94 (2016) 2 - p. , 2016
Link:
https://doi.org/10.1103/..
?
11
Cosmic shear measurements with Dark Energy Survey Science V..:
Becker, M. R.
;
Troxel, M. A.
;
MacCrann, N.
...
Physical Review D. 94 (2016) 2 - p. , 2016
Link:
https://doi.org/10.1103/..
?
12
Galaxy bias from the Dark Energy Survey Science Verificatio..:
Chang, C.
;
Pujol, A.
;
Gaztañaga, E.
...
Monthly Notices of the Royal Astronomical Society. 459 (2016) 3 - p. 3203-3216 , 2016
Link:
https://doi.org/10.1093/..
?
13
Cosmology from large-scale galaxy clustering and galaxy–gal..:
Kwan, J.
;
Sánchez, C.
;
Clampitt, J.
...
Monthly Notices of the Royal Astronomical Society. 464 (2016) 4 - p. 4045-4062 , 2016
Link:
https://doi.org/10.1093/..
?
14
Cosmic voids and void lensing in the Dark Energy Survey Sci..:
Sánchez, C.
;
Clampitt, J.
;
Kovacs, A.
...
Monthly Notices of the Royal Astronomical Society. 465 (2016) 1 - p. 746-759 , 2016
Link:
https://doi.org/10.1093/..
?
15
redMaGiC: selecting luminous red galaxies from the DES Scie..:
Rozo, E.
;
Rykoff, E. S.
;
Abate, A.
...
Monthly Notices of the Royal Astronomical Society. 461 (2016) 2 - p. 1431-1450 , 2016
Link:
https://doi.org/10.1093/..
1-15