These cross-over values were plotted and gave a bimodal curve with modes 7 units apart.
"Sex-linked Inheritance in Drosophila" by Thomas Hunt Morgan
Two spawning periods may account for the bimodal size distribution of young-of-the-year observed in my study.
"Fish Populations, Following a Drought, in the Neosho and Marais des Cygnes Rivers of Kansas" by James Everett Deacon
There is distinct bimodality in this series however, with a mean of 34.2 deg.
"Life History and Ecology of the Five-lined Skink, Eumeces fasciatus" by Henry S. Fitch
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In fact, the distribution of ∆Ω/Ω so far (Table 1) looks bimodal, though we should be wary of small number statistics.
Rotational Evolution During Type I X-Ray Bursts
If further observations show this bimodal distribution to be true, this might indicate that the expansion of the atmosphere is less for the ν0 ≈ 550 Hz objects, for example, because of pure He rather then mixed H/He ignition.
Rotational Evolution During Type I X-Ray Bursts
One often takes a Gaussian distribution, though another popular choice is is the bimodal distribution, also the called ±J distribution, in which the interactions have values +1 and −1 with equal probability.
Computer Science in Physics
The data is shown in Fig. 2 for Gaussian and bimodal disorder (in both cases J = 1), and the exponential scaling for Lb vs. inverse random ﬁeld strength squared is clearly seen.
Susceptibility and Percolation in 2D Random Field Ising Magnets
It is also worth pointing out that the reasoning for stiff spins does not work for the bimodal distribution (since it is bounded), and indeed we observe as expected a similar Lb scaling for both the Gaussian and bimodal disorders.
Susceptibility and Percolation in 2D Random Field Ising Magnets
The bimodal case suffers from the fact that the ground states are highly degenerate at fractional ﬁeld strength values.
Susceptibility and Percolation in 2D Random Field Ising Magnets
The break-up length scale Lb versus inverse random ﬁeld strength (1/∆)2 for bimodal and Gaussian disorder (ﬁlled circles and empty squares, respectively), calculated from PF M (Lb ) = 0.5.
Susceptibility and Percolation in 2D Random Field Ising Magnets
The theory was initially numerical checked with the Monte Carlo (MC) method by Chen, Ferrenberg and Landau (CFL), who studied the 8-state random-bond Potts model with a bimodal self-dual distribution.
Critical dynamics and universality of the random-bond Potts ferromagnet with tri-distributed quenched disorders
Working with the bimodal distribution in Eq.(2.11) our results are compatible with the RG-phase diagram drawn in Fig.5.
The Random-bond Potts model in the large-q limit
Schematic RG phase diagram of the 2d RBPM with varying strength of bimodal disorder, ω .
The Random-bond Potts model in the large-q limit
The phase diagram is studied considering the ﬂow of the renormalized joint probability distributions of couplings and ﬁelds. A continuous (Gaussian) and a discrete (delta-bimodal) initial symmetric probability distributions for the random ﬁelds with variance H0 are particularly considered.
The Random Field Ising Model on Hierarchical Lattices I: Phase Diagram and Thermodynamics
We consider both a continuous (Gaussian) and a discrete (delta-bimodal) initial symmetric probability distributions for the random ﬁelds with variance H0 .
The Random Field Ising Model on Hierarchical Lattices I: Phase Diagram and Thermodynamics
FIG. 5: Average magnetization as a function of the temperature and the strength of the random ﬁeld for the RFIM with a delta bimodal distribution and dF = 3.
The Random Field Ising Model on Hierarchical Lattices I: Phase Diagram and Thermodynamics
In each ﬁgure, we show the results for either the Gaussian or the delta-bimodal probability distributions calculated by the exact methodology considering a dF = 3 DHL with N = 7 hierarchies which correspond to NS ∼ 1.2e + 6 and NB ∼ 2.1e + 6 sites and bonds respectively.
The Random Field Ising Model on Hierarchical Lattices I: Phase Diagram and Thermodynamics
In ﬁgure Fig. 7, the behavior of the internal energy as function of the temperature and ﬁeld strength is presented for the Gaussian model (the delta-bimodal one being very similar).
The Random Field Ising Model on Hierarchical Lattices I: Phase Diagram and Thermodynamics
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