Does each band have multiple allowed E-values for th same k?

In summary, the band structure of a crystal is composed of many subbands that are split due to symmetry in the crystal lattice. This is shown in various explanatory images, including fig. 1, fig. 2, and fig. 3. The higher density of states in both the valence and conduction band ranges can be explained by the presence of multiple subbands, resulting in an increase in the number of available states. This phenomenon is known as band splitting and is illustrated in fig. 4.
  • #1
philip1201
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So every theoretical resource I've been able to find seems to map bands to lines for a 1D crystal, surfaces for a 2D crystal, and hypersurfaces for a 3D crystal. But then there are images like the ARPES data below (fig. 1a, 1b, 2) where the density of states is a lot higher within the valence band energy range even if there isn't a band-line nearby. ARPES should restrict k to one axis, so I don't think it can be explained by variance from k in the other directions.

Many explanatory images also show the bands as if the valence band has states below the band-line and the conduction band has states above the band-line, like fig. 3.
nphys1128-f2.jpg

fig. 1
Bi2Se3_ARPES.jpg

fig. 2
220px-Topological_insulator_band_structure.svg.png

fig. 3
 
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  • #2
The explanation for this phenomenon is that the band structure of a crystal is actually composed of many subbands that are split due to the presence of symmetry in the crystal lattice. The splitting of the bands is known as band splitting, and it occurs when two or more energy levels overlap, resulting in multiple subbands with different energies. This is illustrated in figure 4 below.The higher density states observed in the valence band range can be explained by the fact that the electrons occupy multiple subbands in the valence band, leading to an increase in the number of available states. Similarly, the same effect can be observed in the conduction band, where the electrons occupy multiple subbands, resulting in an increased density of states in the conduction band range. fig. 4
 

1. What are E-values and how are they related to bands and k-values?

E-values are statistical measures of the significance of a sequence alignment. They are used in bioinformatics to determine the likelihood that a sequence alignment is the result of random chance. Bands and k-values refer to parameters used in sequence alignment algorithms, such as BLAST, to limit the search space and improve efficiency.

2. Can a band have multiple allowed E-values for the same k-value?

Yes, a band can have multiple allowed E-values for the same k-value. This is because the E-value is dependent on other factors such as the length of the sequence and the scoring system used. Therefore, different combinations of bands and k-values can result in different E-values.

3. What is the significance of having multiple allowed E-values for a band and k-value?

The significance of having multiple allowed E-values for a band and k-value is that it allows for a more flexible and customizable approach to sequence alignment. By adjusting the band and k-values, researchers can fine-tune the sensitivity and specificity of the search and potentially identify more biologically relevant matches.

4. Are there any drawbacks to having multiple allowed E-values for a band and k-value?

One potential drawback is that it may lead to an increased number of false positives in the results. This can be mitigated by using a more stringent threshold for the E-value or by considering other factors in addition to the E-value when evaluating the significance of a sequence alignment.

5. How do researchers determine the appropriate E-value threshold for a given band and k-value?

The appropriate E-value threshold depends on the specific research question and the desired level of sensitivity and specificity. Generally, a lower E-value threshold indicates a higher level of confidence in the significance of a sequence alignment, but it may also result in a smaller number of matches. Researchers must carefully consider these factors and adjust the E-value threshold accordingly.

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