Sentences with phrase «model equations describing»

So the very existence of matter suggests something is wrong with Standard Model equations describing symmetry between subatomic particles and their antiparticles.

That fact suggests something is wrong with Standard Model equations describing symmetry between subatomic particles and their antiparticles.

Not exact matches

A scientists comes with with equations describing a possible origin mechanic and then describes the flow of said mechanics along vectors which arrive at the current Standard Model.

The very notion of a «field», such as the Higgs field, is a mathematical and physical model describing the interrelationship of matter at the subatomic level, what Holloway would have called an «equational» relationship since in this vision (that espoused by Faith movement) the cosmos is a vast, ordered equation.

Scientists like Hawking tell us: God has no place in any scientific equations, plays no role in any scientific explanations, can not be used to predict any events, does not describe anything or force that has yet been detected, and there are no models of the universe in which a god's presence is either required, productive, or useful.

God has no place in any scientific equations, plays no role in any scientific explanations, can not be used to predict any events, does not describe anything or force that has yet been detected, and there are no models of the universe in which a god's presence is either required, productive, or useful.

Your god has no place in any scientific equations, plays no role in any scientific explanations, can not be used to predict any events, does not describe anything or force that has yet been detected, and there are no models of the universe in which a god's presence is either required, productive, or useful.

Turning the Latin words into modern equations, McLeish's team modelled the process Grosseteste described and found that it yields exactly the sort of nested - spheres universe the philosopher envisioned.

Theorists have constructed a standard set of equations that describe all of nature's particles and forces (except gravity) with extraordinary precision; a Higgs boson with very specific properties is necessary for this standard model to hold together mathematically.

This equation is a theoretical model for describing dense matter inside a star that provides information on its composition at various depths in the star.

Unlike traditional traffic models, which used equations to describe moving vehicles en masse as a kind of fluid, Transims modeled each vehicle and driver as an agent moving through a city's road network.

The point of such models is to avoid describing human affairs from the top down with fixed equations, as is traditionally done in such fields as economics and epidemiology.

Parallel to that, they used a simple lattice gas model coupled with equations describing the intermolecular interactions, otherwise referred to as classical density functional theory.

Equations concocted to describe a kind of chemical reaction have been applied to the modeling of crime, for example, and very recently a mathematical description of magnets was shown also to describe the fruiting patterns of trees in pistachio orchards.

The mathematical symmetries of the resulting equations predict three families of particles, as described by the standard model of physics, though the third family would behave a bit differently.

In 1996 Andrew Strominger and Cumrun Vafa of Harvard University were working on the mathematics of string theory, a physics model that describes all fundamental particles as vibrating strands of energy, when they realized that a key property of certain black holes can be predicted by string equations.

Reducing the spatial dimensions of the early Universe avoids the problems with the standard model, because the unwanted infinities arise only for equations describing three dimensions, says Landsberg.

Another ongoing project is attempting to model the time - dependent Schrödinger equation, which describes the electron's changing quantum states.

A global climate model or general circulation model aims to describe climate behavior by integrating a variety of fluid - dynamical, chemical, or even biological equations that are either derived directly from physical laws (e.g.

F.B. 4 CCSS: Construct and compare linear, quadratic, and exponential models and solve problems: HSF.LE.A.2 CCSS: Create equations that describe numbers or relationships: HSA.CED.A.2; HSA.CED.A.4 CCSS: Build a function that models a relationship between two quantities: HSF.BF.A.1 CCSS: Interpret functions that arise in applications in terms of the context: HSF.IF.B.6

F.B. 4 CCSS: Construct and compare linear, quadratic, and exponential models and solve problems: HSF.LE.A.2 CCSS: Create equations that describe numbers or relationships: HSA.CED.A.2, HSA.CED.A.4 CCSS: Build a function that models a relationship between two quantities: HSF.BF.A.1 CCSS: Interpret functions that arise in applications in terms of the context: HSF.IF.B.6 CCSS: Interpret linear models: HSS.ID.C.7 This purchase is for one teacher only.

HSF.LE.A.2 CCSS: Build a function that models a relationship between two quantities: HSF.BF.A.1 CCSS: Interpret functions that arise in applications in terms of the context: HSF.IF.B.6 CCSS: Create equations that describe numbers or relationships: HSA.CED.A.2 This purchase is for one teacher only.

F.B. 4 CCSS: Understand the concept of a function and use function notation: HSF.IF.A.2 CCSS: Build a function that models a relationship between two quantities: HSF.BF.A.1; HSF.BF.A.1 a CCSS: Create equations that describe numbers or relationships: HSA.CED.A.2 This purchase is for one teacher only.

F.B. 4 CCSS: Construct and compare linear, quadratic, and exponential models and solve problems: HSF.LE.A.2 CCSS: Create equations that describe numbers or relationships: HSA.CED.A.2, HSA.CED.A.4 CCSS: Interpret functions that arise in applications in terms of the context: HSF.IF.B.6 CCSS: Interpret linear models: HSS.ID.C.7 This purchase is for one teacher only.

F.B. 4 CCSS: Construct and compare linear, quadratic, and exponential models and solve problems: HSF.LE.A.2 CCSS: Interpret functions that arise in applications in terms of the context: HSF.IF.B.6 CCSS: Create equations that describe numbers or relationships: HSA.CED.A.2 CCSS: Interpret linear models: HSS.ID.C.7 This purchase is for one teacher.

The models solve the equations of fluid dynamics, and they do a very good job of describing the fluid motions of the atmosphere and the oceans.

This describes an improvement on an old method for solving systems of equations which may be useful in computation fluid mechanics, and climate models, according to the paper.

Instead, he inappropriately fed his Fantasy IPCC predictions of CO2 concentration into equations meant to describe the EQUILIBRIUM model response to different CO2 concentrations.

It's more likely that C is a non-linear function of temperature, and in this case, the equation describing the Hasselmann model would look like:

Then by assuming that the forcing term «can be approximated by white noise», they use the mathematical equation (1) describing the Hasselmann model to come up with the solution and a ratio of and being.

I know absolutely that many FEA runs using exact «perfect» data on a «perfect» crystal or pure piece of metal machined exactly per the model dimensions under loads exactly as described by the modeled equations will yield (on average) results similar to the average of many model runs.

Can these equations also be derived from a 3D model as described above?

The models are apparently based on the basic physics that can not fully describe all the interactions between particles due to the complexity of the equations and our incomplete understanding.

The 1D diffusion equation model described in Rose et al. (2014) GRL, with spatially varying radiative feedback and diffusion of moist static energy.

In a system such as the climate, we can never include enough variables to describe the actual system on all relevant length scales (e.g. the butterfly effect — MICROSCOPIC perturbations grow exponentially in time to drive the system to completely different states over macroscopic time) so the best that we can often do is model it as a complex nonlinear set of ordinary differential equations with stochastic noise terms — a generalized Langevin equation or generalized Master equation, as it were — and average behaviors over what one hopes is a spanning set of butterfly - wing perturbations to assess whether or not the resulting system trajectories fill the available phase space uniformly or perhaps are restricted or constrained in some way.

First, the computer models are very good at solving the equations of fluid dynamics but very bad at describing the real world.

(3 - b) Compartment models leading to a set of linear equations (familiar in electrical networks) are said to describe the slow migration of the molecules toward the bottom of the oceans, sometimes with a high latitude ocean, an inter-tropical ocean and a deep ocean.

A statistical model uses a set of math equations to describe the behavior of something in terms of random variables and probability.

A good example is the consensus of chemistry models that projected a slow decline in stratospheric ozone levels in the 1980s, but did not predict the emergence of the Antarctic ozone hole because they all lacked the equations that describe the chemistry that occurs on the surface of ice crystals in cold polar vortex conditions — an «unknown unknown» of the time.

Dr Miskolczi has two equations which describe the result of applying conservation of energy to the Earth and the atmosphere, the two entities in his simple model.

Features of the model described here include the following: (1) tripolar grid to resolve the Arctic Ocean without polar filtering, (2) partial bottom step representation of topography to better represent topographically influenced advective and wave processes, (3) more accurate equation of state, (4) three - dimensional flux limited tracer advection to reduce overshoots and undershoots, (5) incorporation of regional climatological variability in shortwave penetration, (6) neutral physics parameterization for representation of the pathways of tracer transport, (7) staggered time stepping for tracer conservation and numerical efficiency, (8) anisotropic horizontal viscosities for representation of equatorial currents, (9) parameterization of exchange with marginal seas, (10) incorporation of a free surface that accommodates a dynamic ice model and wave propagation, (11) transport of water across the ocean free surface to eliminate unphysical «virtual tracer flux» methods, (12) parameterization of tidal mixing on continental shelves.

General Relativity is «only a model», the equations describing the transfer orbit of a space craft from Earth to the Moon is «only a model» containing parameters that we do not know precisely and effects that we neglect (GR, the gravitational pull of Pluto etc), but I don't see people saying that they are «just a model» and so we should not send space craft to the Moon!!