scholarly journals Velocity fields in non-Gaussian cold dark matter models

1995 ◽  
Keyword(s):  
Dark Matter ◽  
Cold Dark Matter ◽  
Velocity Fields ◽  
Non Gaussian

scholarly journals Non-Gaussian initial conditions in cosmological N-body simulations - II. Cold Dark Matter models

1991 ◽  
Vol 248 (3) ◽  
pp. 424-438 ◽  
Author(s):  
L. Moscardini ◽  
S. Matarrese ◽  
F. Lucchin ◽  
A. Messina
Keyword(s):  
Dark Matter ◽  
Cold Dark Matter ◽  
Initial Conditions ◽  
Non Gaussian

Non-Gaussian initial conditions in cosmological N-body simulations – III. Groups in Cold Dark Matter models

1991 ◽  
Vol 253 (1) ◽  
pp. 35-46 ◽  
Author(s):  
S. Matarrese ◽  
F. Lucchin ◽  
A. Messina ◽  
L. Moscardini
Keyword(s):  
Dark Matter ◽  
Cold Dark Matter ◽  
Initial Conditions ◽  
Non Gaussian

scholarly journals The Effects of Non‐Gaussian Initial Conditions on the Structure and Substructure of Cold Dark Matter Halos

2003 ◽  
Vol 598 (1) ◽  
pp. 36-48 ◽  
Author(s):  
Vladimir Avila‐Reese ◽  
Pedro Colin ◽  
Gabriella Piccinelli ◽  
Claudio Firmani
Keyword(s):  
Dark Matter ◽  
Cold Dark Matter ◽  
Initial Conditions ◽  
Dark Matter Halos ◽  
Non Gaussian

scholarly journals Physical Bayesian modelling of the non-linear matter distribution: New insights into the nearby universe

2019 ◽  
Vol 625 ◽  
pp. A64 ◽  
Author(s):  
J. Jasche ◽  
G. Lavaux
Keyword(s):  
Monte Carlo ◽  
Dark Matter ◽  
Structure Formation ◽  
Three Dimensional ◽  
Velocity Fields ◽  
Hierarchical Bayes ◽  
Coma Cluster ◽  
Matter Distribution ◽  
Non Linear ◽  
Non Gaussian

Accurate analyses of present and next-generation cosmological galaxy surveys require new ways to handle effects of non-linear gravitational structure formation processes in data. To address these needs we present an extension of our previously developed algorithm for Bayesian Origin Reconstruction from Galaxies (BORG) to analyse matter clustering at non-linear scales in observations. This is achieved by incorporating a numerical particle mesh model of gravitational structure formation into our Bayesian inference framework. The algorithm simultaneously infers the three-dimensional primordial matter fluctuations from which present non-linear observations formed and provides reconstructions of velocity fields and structure formation histories. The physical forward modelling approach automatically accounts for the non-Gaussian features in gravitationally evolved matter density fields and addresses the redshift space distortion problem associated with peculiar motions of observed galaxies. Our algorithm employs a hierarchical Bayes approach to jointly account for various observational effects, such as unknown galaxy biases, selection effects, and observational noise. Corresponding parameters of the data model are marginalized out via a sophisticated Markov chain Monte Carlo approach relying on a combination of a multiple block sampling framework and an efficient implementation of a Hamiltonian Monte Carlo sampler. We demonstrate the performance of the method by applying it to the 2M++ galaxy compilation, tracing the matter distribution of the nearby universe. We show accurate and detailed inferences of the three-dimensional non-linear dark matter distribution of the nearby universe. As exemplified in the case of the Coma cluster, our method provides complementary mass estimates that are compatible with those obtained from weak lensing and X-ray observations. For the first time, we also present a reconstruction of the vorticity of the non-linear velocity field from observations. In summary, our method provides plausible and very detailed inferences of the dark matter and velocity fields of our cosmic neighbourhood.

Clustering in a Non-Gaussian Cold Dark Matter Cosmogony

1991 ◽  
Vol 647 (1 Texas/ESO-Cer) ◽  
pp. 775-782
Author(s):  
L. MOSCARDINI ◽  
F. LUCCHIN ◽  
A. MESSINA ◽  
S. MATTARRESE
Keyword(s):  
Dark Matter ◽  
Cold Dark Matter ◽  
Non Gaussian

The Internal Kinematics Of Cold Dark Matter Haloes

2006 ◽  
Vol 20 ◽  
pp. 29-32
Author(s):  
C. Power
Keyword(s):  
Dark Matter ◽  
Cold Dark Matter

Bolometric Detection of Cold Dark Matter Candidates

1988 ◽  
Author(s):  
A. K. Drukier ◽  
Katherine Freese ◽  
Joshua Frieman
Keyword(s):  
Dark Matter ◽  
Cold Dark Matter ◽  
Bolometric Detection

scholarly journals Detecting Cold Dark Matter Candidates

1987 ◽  
Vol 117 ◽  
pp. 490-490
Author(s):  
A. K. Drukier ◽  
K. Freese ◽  
D. N. Spergel
Keyword(s):  
Dark Matter ◽  
Cold Dark Matter ◽  
Galactic Halo ◽  
Dark Matter Particle ◽  
Low Energy ◽  
The Sun ◽  
Background Rate ◽  
System Noise ◽  
Weakly Interacting ◽  
Massive Neutrinos

We consider the use of superheated superconducting colloids as detectors of weakly interacting galactic halo candidate particles (e.g. photinos, massive neutrinos, and scalar neutrinos). These low temperature detectors are sensitive to the deposition of a few hundreds of eV's. The recoil of a dark matter particle off of a superheated superconducting grain in the detector causes the grain to make a transition to the normal state. Their low energy threshold makes this class of detectors ideal for detecting massive weakly interacting halo particles.We discuss realistic models for the detector and for the galactic halo. We show that the expected count rate (≈103 count/day for scalar and massive neutrinos) exceeds the expected background by several orders of magnitude. For photinos, we expect ≈1 count/day, more than 100 times the predicted background rate. We find that if the detector temperature is maintained at 50 mK and the system noise is reduced below 5 × 10−4 flux quanta, particles with mass as low as 2 GeV can be detected. We show that the earth's motion around the Sun can produce a significant annual modulation in the signal.

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