Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Peter L. Taylor"'
Publikováno v:
The Open Journal of Astrophysics, Vol 7 (2024)
We show how to efficiently sample the joint posterior of two non-covariant experiments with a large set of nuisance parameters. Specifically, we train an ensemble of normalizing flows to learn the posterior distribution of both experiments. Once trai
Externí odkaz:
https://doaj.org/article/dbf25273004e4892b82ad1d14df2dbed
Autor:
Agnès Ferté, Shoubaneh Hemmati, Daniel Masters, Brigitte Montminy, Peter L. Taylor, Eric Huff, Jason Rhodes
Publikováno v:
The Open Journal of Astrophysics, Vol 6 (2023)
We propose to use Self-Organizing Maps (SOM) to map the impact of physical models onto observables. Using this approach, we are able to determine how theories relate to each other given their signatures. In cosmology this will be particularly useful
Externí odkaz:
https://doaj.org/article/b2a96f16361a4e7899267022faea0fe6
Publikováno v:
The Open Journal of Astrophysics, Vol 4, Iss 1 (2021)
Externí odkaz:
https://doaj.org/article/05dca3617e20448991f51c2eda3a65db
Autor:
Peter L. Taylor, T. Kitching, V. F. Cardone, A. Ferté, E. M. Huff, F. Bernardeau, J. Rhodes, A. C. Deshpande, I. Tutusaus, A. Pourtsidou, S. Camera, C. Carbone, S. Casas, M. Martinelli, V. Pettorino, Z. Sakr, D. Sapone, V. Yankelevich, N. Auricchio, A. Balestra, C. Bodendorf, D. Bonino, A. Boucaud, E. Branchini, M. Brescia, V. Capobianco, J. Carretero, M. Castellano, S. Cavuoti, A. Cimatti, R. Cledassou, G. Congedo, L. Conversi, L. Corcione, M. Cropper, E. Franceschi, B. Garilli, B. Gillis, C. Giocoli, L. Guzzo, S. V. H. Haugan, W. Holmes, F. Hormuth, K. Jahnke, S. Kermiche, M. Kilbinger, M. Kunz, H. Kurki-Suonio, S. Ligori, P. B. Lilje, I. Lloro, O. Marggraf, K. Markovic, R. Massey, E. Medinaceli, S. Mei, M. Meneghetti, G. Meylan, M. Moresco, B. Morin, L. Moscardini, S. Niemi, C. Padilla, F. Pasian, S. Paltani, K. Pedersen, W. J. Percival, S. Pires, G. Polenta, M. Poncet, L. Popa, F. Raison, M. Roncarelli, E. Rossetti, R. Saglia, P. Schneider, A. Secroun, G. Seidel, S. Serrano, C. Sirignano, G. Sirri, F. Sureau, P. Tallada Crespí, D. Tavagnacco, A. N. Taylor, H. I. Teplitz, I. Tereno, R. Toledo-Moreo, E. A. Valentijn, L. Valenziano, T. Vassallo, Y. Wang, J. Weller, A. Zacchei, J. Zoubian
Publikováno v:
The Open Journal of Astrophysics, Vol 4 (2021)
Modelling uncertainties at small scales, i.e. high $k$ in the power spectrum $P(k)$, due to baryonic feedback, nonlinear structure growth and the fact that galaxies are biased tracers poses a significant obstacle to fully leverage the constraining po
Externí odkaz:
https://doaj.org/article/b112f818a2b94598a56eed205420dad5
Publikováno v:
The Open Journal of Astrophysics, Vol 3 (2020)
In this paper we derive a full expression for the propagation of weak lensing shape measurement biases into cosmic shear power spectra including the effect of missing data. We show using simulations that terms higher than first order in bias paramete
Externí odkaz:
https://doaj.org/article/83c953e7ed54434dabebd6ff5c8a5a65
Autor:
Peter L. Taylor, Katarina Markovič
Publikováno v:
Physical Review D. 106
To combine information from measurements of the redshift-space power spectrum from spectroscopic data with angular weak lensing, galaxy clustering and galaxy-galaxy lensing power spectra from photometric surveys (i.e. the $3 \times 2$ point statistic
Publikováno v:
Physical Review D. 105
Autor:
Georgios Valogiannis, Nesar Ramachandra, Peter L. Taylor, Jason Rhodes, Leah Vazsonyi, Agnès Ferté
Publikováno v:
Physical Review D. 104
Using Subaru Hyper Suprime-Cam (HSC) year 1 data, we perform the first $k$-cut cosmic shear analysis constraining both $\Lambda$CDM and $f(R)$ Hu-Sawicki modified gravity. To generate the $f(R)$ cosmic shear theory vector, we use the matter power spe
Publikováno v:
Physical Review D. 102
The precision of Stage IV cosmic shear surveys will enable us to probe smaller physical scales than ever before, however, model uncertainties from baryonic physics and non-linear structure formation will become a significant concern. The $k$-cut meth
Publikováno v:
Physical Review D
Physical Review D, American Physical Society, 2021, 103 (4), pp.043531. ⟨10.1103/PhysRevD.103.043531⟩
Phys.Rev.D
Phys.Rev.D, 2021, 103 (4), pp.043531. ⟨10.1103/PhysRevD.103.043531⟩
Physical Review D, American Physical Society, 2021, 103 (4), pp.043531. ⟨10.1103/PhysRevD.103.043531⟩
Phys.Rev.D
Phys.Rev.D, 2021, 103 (4), pp.043531. ⟨10.1103/PhysRevD.103.043531⟩
We present a new method, called $x$-cut cosmic shear, which optimally removes sensitivity to poorly modeled scales from the two-point cosmic shear signal. We show that the $x$-cut cosmic shear covariance matrix can be computed from the correlation fu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2002b5ddbca77197a70b650c4d24235f
http://arxiv.org/abs/2007.00675
http://arxiv.org/abs/2007.00675