Results of JCAP I Studies and Outline of JCAP II Program

Shibata, Yoshiaki; Omata, Tatsuo; Hayashi, Akira; Tomiyama, Toshio

doi:10.4271/2003-01-1902

Cited by 6 publications

(3 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(The dipole of a galaxy distribution is measurable in principle; indeed it has been used to search for e.g. inhomogeneous initial conditions [15]. )…”

Section: Observed Galaxy Density Contrastmentioning

confidence: 99%

Large-scale clustering of galaxies in general relativity

2012

View full text Add to dashboard Cite

Several recent studies have shown how to properly calculate the observed clustering of galaxies in a relativistic context, and uncovered corrections to the Newtonian calculation that become significant on scales near the horizon. Here, we retrace these calculations and show that, on scales approaching the horizon, the observed galaxy power spectrum depends strongly on which gauge is assumed to relate the intrinsic fluctuations in galaxy density to matter perturbations through a linear bias relation. Starting from simple physical assumptions, we derive a gauge-invariant expression relating galaxy density perturbations to matter density perturbations on large scales, and show that it reduces to a linear bias relation in synchronous-comoving gauge, corroborating an assumption made in several recent papers. We evaluate the resulting observed galaxy power spectrum, and show that it leads to corrections similar to an effective non-Gaussian bias corresponding to a local f NL,eff 0.5. This number can serve as a guideline as to which surveys need to take into account relativistic effects. We also discuss the scale-dependent bias induced by primordial non-Gaussianity in the relativistic context, which again is simplest in synchronous-comoving gauge.

show abstract

“…(The dipole of a galaxy distribution is measurable in principle; indeed it has been used to search for e.g. inhomogeneous initial conditions [15]. )…”

Section: Observed Galaxy Density Contrastmentioning

confidence: 99%

Large-scale clustering of galaxies in general relativity

2012

View full text Add to dashboard Cite

show abstract

“…Thus, unless one invokes a change in the shape or amplitude of non-Gaussianity on smaller scales, a nondetection of a similar power asymmetry in the large-scale structure [28,29] puts further stringent constraints on models that produce such asymmetries. Furthermore, models with bispectra that peak more strongly in the squeezed limit than the local model will in fact generate a scale-dependent bias in large scale structure tracers [30][31][32] ∆b ∝ k −n with n > 2 [26,27].…”

mentioning

confidence: 99%

Cosmic Microwave Background Power Asymmetry from Non-Gaussian Modulation

Hui

2013

Phys. Rev. Lett.

View full text Add to dashboard Cite

Non-Gaussianity in the inflationary perturbations can couple observable scales to modes of much longer wavelength (even superhorizon), leaving as a signature a large-angle modulation of the observed cosmic microwave background (CMB) power spectrum. This provides an alternative origin for a power asymmetry which is otherwise often ascribed to a breaking of statistical isotropy. The non-Gaussian modulation effect can be significant even for typical ∼ 10 −5 perturbations, while respecting current constraints on non-Gaussianity, if the squeezed limit of the bispectrum is sufficiently infrared divergent. Just such a strongly infrared-divergent bispectrum has been claimed for inflation models with a non-Bunch-Davies initial state, for instance. Upper limits on the observed CMB power asymmetry place stringent constraints on the duration of inflation in such models.

show abstract

“…Gasoline volatility is affected by various factors, generally lighter the gasoline components, better the volatile; more light alkanes, better volatile; more heavy aromatics, the worse volatile; more heavy olefins, volatile in the middle. The evaporation emission and the starting performance of the vehicle have important relation with the vapor pressure of gasoline [11], [12]. Due to air resistance, the gasoline vapor pressure should be strictly controlled at high temperature; at low temperature, the gasoline needs to have a higher vapor pressure.…”

Section: Vapor Pressure Distributionmentioning

confidence: 99%

Composition distribution and characteristic of a typical commercial gasoline in market

Na¹,

Guo²,

Zhang³

et al. 2016

ijsgce

View full text Add to dashboard Cite

Composition distribution of a typical commercial gasoline more representative in current market which also meets China V gasoline standard is discussed. The octane number distribution and vapor pressure distribution of the commercial gasoline is also analyzed. In addition, the hydrocarbon making a larger contribution to the octane number or vapor pressure is reached. The results indicate that the commercial gasoline more representative in the current market mainly includes i-paraffin, aromatics and a small amount of olefins in order to meet the China V gasoline standard. Olefin is the main composition which contributes to the octane number and vapor pressure for the light fraction of commercial gasoline. However, in order to meet the V gasoline standards, the olefin content decreases so greatly that we have to add a certain amount of MTBE to make up for the octane value loss and vapor pressure loss of the commercial gasoline. Aromatics are the components that contribute to the octane number for heavy fraction of commercial gasoline. However, the octane number of the middle distillate is relatively absent. In order to satisfy the good combustion performance of commercial gasoline, it is very important to improve the distribution of octane number by adjusting the gasoline component.

show abstract

Results of JCAP I Studies and Outline of JCAP II Program

Cited by 6 publications

References 11 publications

Large-scale clustering of galaxies in general relativity

Large-scale clustering of galaxies in general relativity

Cosmic Microwave Background Power Asymmetry from Non-Gaussian Modulation

Composition distribution and characteristic of a typical commercial gasoline in market

Contact Info

Product

Resources

About