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Faculty of Mathematics

 

Dr Niall MacCrann

Publications

Dark Energy Survey Y3 results: blending shear and redshift biases in image simulations
N MacCrann, MR Becker, J McCullough, A Amon, D Gruen, M Jarvis, A Choi, MA Troxel, E Sheldon, B Yanny, K Herner, S Dodelson, J Zuntz, K Eckert, RP Rollins, TN Varga, GM Bernstein, RA Gruendl, I Harrison, WG Hartley, I Sevilla-Noarbe, A Pieres, SL Bridle, J Myles, A Alarcon et al.
– Monthly Notices of the Royal Astronomical Society
(2021)
509,
3371
(doi: 10.1093/mnras/stab2870)
Dark energy survey year 3 results: weak lensing shape catalogue
M Gatti, E Sheldon, A Amon, M Becker, M Troxel, A Choi, C Doux, N MacCrann, A Navarro-Alsina, I Harrison, D Gruen, G Bernstein, M Jarvis, LF Secco, A Ferté, T Shin, J McCullough, RP Rollins, R Chen, C Chang, S Pandey, I Tutusaus, J Prat, J Elvin-Poole, C Sanchez et al.
– Monthly Notices of the Royal Astronomical Society
(2021)
504,
stab918
(doi: 10.1093/mnras/stab918)
Beyond linear galaxy alignments
J Blazek, N MacCrann, MA Troxel, X Fang
– Physical Review D
(2019)
100,
103506
(doi: 10.1103/physrevd.100.103506)
Controlling and leveraging small-scale information in tomographic galaxy–galaxy lensing
N MacCrann, J Blazek, B Jain, E Krause
– Monthly Notices of the Royal Astronomical Society
(2019)
491,
5498
(doi: 10.1093/mnras/stz2761)
Dark Energy Survey Year 1 results: Weak lensing shape catalogues
J Zunt, E Sheldon, S Samuroff, MA Troxel, M Jarvis, N MacCrann, D Gruen, J Prat, C Sánchez, A Choi, SL Bridle, GM Bernstein, S Dodelson, A Drlica-Wagner, Y Fang, RA Gruendl, B Hoyle, EM Huff, B Jain, D Kirk, T Kacprzak, C Krawiec, AA Plazas, RP Rollins, ES Rykoff et al.
– Monthly Notices of the Royal Astronomical Society
(2018)
481,
1149
(doi: 10.1093/mnras/sty2219)
Dark Energy Survey year 1 results: Cosmological constraints from galaxy clustering and weak lensing
TMC Abbott, FB Abdalla, A Alarcon, J Aleksić, S Allam, S Allen, A Amara, J Annis, J Asorey, S Avila, D Bacon, E Balbinot, M Banerji, N Banik, W Barkhouse, M Baumer, E Baxter, K Bechtol, MR Becker, A Benoit-Lévy, BA Benson, GM Bernstein, E Bertin, J Blazek, SL Bridle et al.
– Physical Review D
(2018)
98,
043526
(doi: 10.1103/PhysRevD.98.043526)
Dark Energy Survey year 1 results: Galaxy-galaxy lensing
J Prat, C Sánchez, Y Fang, D Gruen, J Elvin-Poole, N Kokron, LF Secco, B Jain, R Miquel, N Maccrann, MA Troxel, A Alarcon, D Bacon, GM Bernstein, J Blazek, R Cawthon, C Chang, M Crocce, C Davis, J De Vicente, JP Dietrich, A Drlica-Wagner, O Friedrich, M Gatti, WG Hartley et al.
– Physical Review D
(2018)
98,
042005
(doi: 10.1103/PhysRevD.98.042005)
DES Y1 Results: validating cosmological parameter estimation using simulated Dark Energy Surveys
N MacCrann, J DeRose, RH Wechsler, J Blazek, E Gaztanaga, M Crocce, ES Rykoff, MR Becker, B Jain, E Krause, TF Eifler, D Gruen, J Zuntz, MA Troxel, J Elvin-Poole, J Prat, M Wang, S Dodelson, A Kravtsov, P Fosalba, MT Busha, AE Evrard, D Huterer, TMC Abbott, FB Abdalla et al.
– Monthly Notices of the Royal Astronomical Society
(2018)
480,
4614
(doi: 10.1093/mnras/sty1899)
Dark energy survey year 1 results: Redshift distributions of the weak-lensing source galaxies
B Hoyle, D Gruen, GM Bernstein, MM Rau, J De Vicente, WG Hartley, E Gaztanaga, J DeRose, MA Troxel, C Davis, A Alarcon, N MacCrann, J Prat, C Sánchez, E Sheldon, RH Wechsler, J Asorey, MR Becker, C Bonnett, AC Rosell, D Carollo, MC Kind, FJ Castander, R Cawthon, C Chang et al.
– Monthly Notices of the Royal Astronomical Society
(2018)
478,
592
(doi: 10.1093/mnras/sty957)
Weak-lensing mass calibration of redMaPPer galaxy clusters in Dark Energy Survey Science Verification data
P Melchior, D Gruen, T McClintock, TN Varga, E Sheldon, E Rozo, A Amara, MR Becker, BA Benson, A Bermeo, SL Bridle, J Clampitt, JP Dietrich, WG Hartley, D Hollowood, B Jain, M Jarvis, T Jeltema, T Kacprzak, N MacCrann, ES Rykoff, A Saro, E Suchyta, MA Troxel, J Zuntz et al.
– Monthly Notices of the Royal Astronomical Society
(2017)
469,
4899
(doi: 10.1093/mnras/stx1053)
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Email

nm746@damtp.cam.ac.uk

Room

B1.11

Telephone

01223 337941

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