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  1. Book ; Online: Accurate predictions from small boxes

    Kokron, Nickolas / Chen, Shi-Fan / White, Martin / DeRose, Joseph / Maus, Mark

    variance suppression via the Zel'dovich approximation

    2022  

    Abstract: Simulations have become an indispensable tool for accurate modelling of observables measured in galaxy surveys, but can be expensive if very large dynamic range in scale is required. We describe how to combine Lagrangian perturbation theory models with N- ...

    Abstract Simulations have become an indispensable tool for accurate modelling of observables measured in galaxy surveys, but can be expensive if very large dynamic range in scale is required. We describe how to combine Lagrangian perturbation theory models with N-body simulations to reduce the effects of finite computational volume in the prediction of ensemble average properties in the simulations within the context of control variates. In particular we use the fact that Zel'dovich displacements, computed during initial condition generation for any simulation, correlate strongly with the final density field. Since all the correlators of biased tracers can be computed with arbitrary precision for these displacements, pairing the Zel'dovich `simulation' with the N-body realization allows hundredfold reductions in sample variance for power spectrum or correlation function estimation. Zel'dovich control variates can accurately extend matter or tracer field emulators to larger scales than previously possible, as well as improving measurements of statistics in simulations which are inherently limited to small volumes, such as hydrodynamical simulations of galaxy formation and reionization.

    Comment: 23 + 6 pages, 9 + 2 figures. Comments welcome!
    Keywords Astrophysics - Cosmology and Nongalactic Astrophysics ; Astrophysics - Instrumentation and Methods for Astrophysics
    Subject code 612
    Publishing date 2022-05-30
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Cosmological Constraints from Multiple Probes in the Dark Energy Survey.

    Abbott, T M C / Alarcon, A / Allam, S / Andersen, P / Andrade-Oliveira, F / Annis, J / Asorey, J / Avila, S / Bacon, D / Banik, N / Bassett, B A / Baxter, E / Bechtol, K / Becker, M R / Bernstein, G M / Bertin, E / Blazek, J / Bridle, S L / Brooks, D /
    Brout, D / Burke, D L / Calcino, J / Camacho, H / Campos, A / Carnero Rosell, A / Carollo, D / Carrasco Kind, M / Carretero, J / Castander, F J / Cawthon, R / Challis, P / Chan, K C / Chang, C / Childress, M / Crocce, M / Cunha, C E / D'Andrea, C B / da Costa, L N / Davis, C / Davis, T M / De Vicente, J / DePoy, D L / DeRose, J / Desai, S / Diehl, H T / Dietrich, J P / Dodelson, S / Doel, P / Drlica-Wagner, A / Eifler, T F / Elvin-Poole, J / Estrada, J / Evrard, A E / Fernandez, E / Flaugher, B / Foley, R J / Fosalba, P / Frieman, J / Galbany, L / García-Bellido, J / Gatti, M / Gaztanaga, E / Gerdes, D W / Giannantonio, T / Glazebrook, K / Goldstein, D A / Gruen, D / Gruendl, R A / Gschwend, J / Gutierrez, G / Hartley, W G / Hinton, S R / Hollowood, D L / Honscheid, K / Hoormann, J K / Hoyle, B / Huterer, D / Jain, B / James, D J / Jarvis, M / Jeltema, T / Kasai, E / Kent, S / Kessler, R / Kim, A G / Kokron, N / Krause, E / Kron, R / Kuehn, K / Kuropatkin, N / Lahav, O / Lasker, J / Lemos, P / Lewis, G F / Li, T S / Lidman, C / Lima, M / Lin, H / Macaulay, E / MacCrann, N / Maia, M A G / March, M / Marriner, J / Marshall, J L / Martini, P / McMahon, R G / Melchior, P / Menanteau, F / Miquel, R / Mohr, J J / Morganson, E / Muir, J / Möller, A / Neilsen, E / Nichol, R C / Nord, B / Ogando, R L C / Palmese, A / Pan, Y-C / Peiris, H V / Percival, W J / Plazas, A A / Porredon, A / Prat, J / Romer, A K / Roodman, A / Rosenfeld, R / Ross, A J / Rykoff, E S / Samuroff, S / Sánchez, C / Sanchez, E / Scarpine, V / Schindler, R / Schubnell, M / Scolnic, D / Secco, L F / Serrano, S / Sevilla-Noarbe, I / Sharp, R / Sheldon, E / Smith, M / Soares-Santos, M / Sobreira, F / Sommer, N E / Swann, E / Swanson, M E C / Tarle, G / Thomas, D / Thomas, R C / Troxel, M A / Tucker, B E / Uddin, S A / Vielzeuf, P / Walker, A R / Wang, M / Weaverdyck, N / Wechsler, R H / Weller, J / Yanny, B / Zhang, B / Zhang, Y / Zuntz, J

    Physical review letters

    2019  Volume 122, Issue 17, Page(s) 171301

    Abstract: The combination of multiple observational probes has long been advocated as a powerful technique to constrain cosmological parameters, in particular dark energy. The Dark Energy Survey has measured 207 spectroscopically confirmed type Ia supernova light ... ...

    Abstract The combination of multiple observational probes has long been advocated as a powerful technique to constrain cosmological parameters, in particular dark energy. The Dark Energy Survey has measured 207 spectroscopically confirmed type Ia supernova light curves, the baryon acoustic oscillation feature, weak gravitational lensing, and galaxy clustering. Here we present combined results from these probes, deriving constraints on the equation of state, w, of dark energy and its energy density in the Universe. Independently of other experiments, such as those that measure the cosmic microwave background, the probes from this single photometric survey rule out a Universe with no dark energy, finding w=-0.80_{-0.11}^{+0.09}. The geometry is shown to be consistent with a spatially flat Universe, and we obtain a constraint on the baryon density of Ω_{b}=0.069_{-0.012}^{+0.009} that is independent of early Universe measurements. These results demonstrate the potential power of large multiprobe photometric surveys and pave the way for order of magnitude advances in our constraints on properties of dark energy and cosmology over the next decade.
    Language English
    Publishing date 2019-05-20
    Publishing country United States
    Document type Journal Article
    ZDB-ID 208853-8
    ISSN 1079-7114 ; 0031-9007
    ISSN (online) 1079-7114
    ISSN 0031-9007
    DOI 10.1103/PhysRevLett.122.171301
    Database MEDical Literature Analysis and Retrieval System OnLINE

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