Results 71 to 80 of about 87,875 (159)

Probabilistic Forward Modeling of Galaxy Catalogs with Normalizing Flows

The Astronomical Journal
Evaluating the accuracy and calibration of the redshift posteriors produced by photometric redshift (photo- z ) estimators is vital for enabling precision cosmology and extragalactic astrophysics with modern wide-field photometric surveys.
John Franklin Crenshaw, J. Bryce Kalmbach, Alexander Gagliano, Ziang Yan, Andrew J. Connolly, Alex I. Malz, Samuel J. Schmidt, The LSST Dark Energy Science Collaboration   +7 more
doaj   +1 more source

Multi-scale weak lensing detection of galaxy clusters with source redshift tomography

Astronomy & Astrophysics
A number of methods have emerged to detect galaxy clusters solely through their weak lensing signal. Using the recently introduced wavelet multi-scale detection method, here we focus on the potential of using tomographic information of source galaxies to
Chappuis L., Pires S., Pratt G. W., Leroy G., Daurelle A., Giocoli C., Carbone C.   +6 more
doaj   +1 more source

Simulating Continuum-based Redshift Measurement in the Roman’s High Latitude Spectroscopic Survey

The Astronomical Journal
We investigate the capability of the Nancy Grace Roman Space Telescope’s (Roman) Wide-Field Instrument G150 slitless grism to detect red, quiescent galaxies based on the current reference survey.
Zhiyuan Guo, Bhavin Joshi, C. W. Walter, M. A. Troxel   +3 more
doaj   +1 more source

IRMaGiC: Extending Luminous Red Galaxy Selection into the Infrared with Joint Rubin Observatory's Large Survey of Space Time and Roman's High Latitude Imaging Survey

The Open Journal of Astrophysics
We introduce IRMaGiC, an algorithm built on RedMaGiC designed to enhance the selection of Luminous Red Galaxies (LRGs) across the redshift range $1 \leq z \leq 2$. We show that this method extends the capabilities of the RedMaGiC algorithm by applying it
Zhiyuan Guo, Chris. W. Walter, Eli S. Rykoff, LSST Dark Energy Science Collaboration   +3 more
doaj   +1 more source

Characterizing the Roman Grism Redshift Efficiency of Type Ia Supernova Host Galaxies for the High-latitude Time-domain Survey

The Astrophysical Journal
The High-latitude Time-domain Survey (HLTDS) for the Nancy Grace Roman Space Telescope (Roman) will discover thousands of high-redshift Type Ia supernovae (SNe Ia) to set generation-defining cosmological constraints on dark energy. To construct the Roman
Rebecca C. Chen, Zhiyuan Guo, Dan Scolnic, Bhavin Joshi, Richard Kessler, Lluís Galbany, Rebekah Hounsell, Diane M. Markoff, Benjamin M. Rose, David Rubin, The Roman Supernova Cosmology Project Infrastructure Team   +10 more
doaj   +1 more source

The Clustering of Dark Matter, Haloes & Galaxies [PDF]

, 2008
In this thesis I study the spatial distribution of galaxies, haloes and dark matter particlesin the Universe. The subjects investigated are conceptually divided into three areas.One line of research, which is made up of Chapters 2 and 3， is to explore ...
Raúl Esteban Angulo de la Puente,
core  

Forecasts on the dark energy anisotropic stress for the esa euclid survey [PDF]

The cosmological constant Λ seems to be a not satisfactory explanation of the late-time accelerated expansion of the Universe, for which a number of experimental evidences exist; therefore, it has become necessary in the last years to consider ...
Fogli, Simone
core  

A test for the redshift dependence of $$\sigma _8$$ σ 8 using $$f\sigma _8$$ f σ 8 measurements

European Physical Journal C: Particles and Fields
We search for a redshift dependence of $$\sigma _8^0$$ σ 8 0 using 23 growth rate measurements from redshift space distortions and peculiar velocity measurements as a consistency check of $$\Lambda $$ Λ CDM.
Siddhant Manna, Shantanu Desai
doaj   +1 more source

A complete redshift sample of galaxies [PDF]

, 1983
The role of complete redshift samples is discussed with particular attention focused on the need for new deeper and better controlled surveys for statistical clustering and dynamical studies.
Bean, A.J., Bean, Adrian John
core  

Photometric Redshift Probability Density Functions via Neural Network Classification for DESI Legacy Imaging Surveys and Pan-STARRS

The Astrophysical Journal Supplement Series
We present a neural network classification (NNC) method for photometric redshift estimation that produces well-calibrated redshift probability density functions (PDFs).
Da-Chuan Tian, Zhong-Lue Wen, Jun-Qing Xia   +2 more
doaj   +1 more source