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Extended Data Figure 1: XRD measurement of SnSe on the cleavage plane, and the simulated diffraction pattern. The (400) reflection plane indicates that the SnSe crystal is cleaved at the plane that is perpendicular to the a axis.
Extended Data Figure 4: Electronic band structures of low-temperature (Pnma) and high-temperature (Cmcm) phases of SnSe.
Extended Data Figure 6: Thermoelectric properties as a function of temperature for crystalline SnSe along different directions.
Extended Data Figure 7: High-resolution TEM images of single-crystal SnSe along four zone axes, and SAD along a low-order zone axis (in insets).
Extended Data Figure 10: Reproducibility, and thermoelectric properties as a function of temperature, for seven samples of SnSe crystals along the b axis. A large body of experimental data now exists for (e,2e) differential cross section (DCS) ionisation studies in which the scattered and ejected electrons are detected with the same energy and at the 'same' asymptotic scattering angles with respect to the incident electron direction. A detection plane spanned by the scattered and ejected electron momenta ka and kb is initially defined. The energy region from around 3eV to 100eV excess energy is defined here as the 'intermediate energy' region.
Studies at lower energies are considered to lie in the threshold region where correlation effects between outgoing electrons dominate the reaction. Differential cross section studies at energies in excess of 100eV are predominantly governed by single binary collisions between the incident and ejected electrons, the core playing a decreasing role in the reaction as this energy increases. Common to all these models is the importance of correlations between the outgoing electrons brought about through electrostatic coupling as they emerge from the reaction zone (see figure 2).
As the excess energy above ionisation decreases, the outgoing electrons have more time to mutually interact and so the probability that they will emerge asymptotically at a mutual angle of p radians increases, whereas their 'memory' of the incident electron direction correspondingly decreases.
In this page a model-independent parameterisation of the ionisation differential cross section is discussed. The parameterisation is in terms of a complete orthogonal set of irreducible tensorial angular functions which define correlation between any three vectors in space. This parameterisation was first proposed for the (e,2e) process by Klar and Fehr (1992), and has a long and distinguished history in the field of nuclear particle interactions proceeding through sharply defined states, where the analysis gives information about the angular momenta carried into and out of the reaction.
By contrast, in the (e,2e) reaction the intermediate state is not normally sharply defined, and so the parameters do not directly reveal the angular momenta associated with the reaction, but rather indicate the degree of correlation between ingoing and outgoing electrons. The (e,2e) differential cross section is parameterised as a coherent superposition of partial waves up to L = 2 defining scattering in the reaction zone which is modulated by a Gaussian function modelling correlations between the outgoing electrons. There is no evidence of the complex structure discussed above for the intermediate energy regime. Comprehensive experimental data exists for ionisation of helium in the intermediate energy region over a very wide range of scattering geometries.
In these results the DCS is assumed to be zero when x = 0 and x = p since the probability of detection of two electrons of equal energy emerging in the same direction is very small. At 1eV excess energy a single structure is observed due to strong outgoing electron correlation, as previously noted. At 3eV and 5eV above ionisation both a forward and a backward structure start evolving from the central peak at low incident electron angles y, whereas at higher angles y the DCS is still approximately Gaussian. Backward scattering, probably dominated by elastic scattering of the incoming electron from the atom into the backward direction in the detection plane followed by a binary collision with a valence electron, is the dominant contribution to the overall DCS structure. At the higher excess energy (30 - 50eV) forward scattering starts to dominate, reflecting the importance of single binary collisions.
Only the central peak is attainable through a single collision process and there will additionally be significant contributions to this peak through outgoing electron correlations at the lower energies. Indistinguishability of the outgoing electrons requires the DCS at (y,x) to be equated to that at (y, 2mp-x) where m is an integer. Reflection symmetry is necessary in the detection plane since no preferred direction is defined with respect to this plane, and hence s(y,x) = s(-y,x).
When electron spin is not considered the (e,2e) differential cross section is a function only of the momenta of the ingoing and outgoing electrons. The choice of angular functions Ilalbl0 required to characterise the (e,2e) DCS is restricted by the symmetries inherent in the ionisation process.
Here the set for which la = lb when l0 is even and (la,A l0)A < lb when l0 is odd is chosen. It is clear that plotting the absolute magnitude of the I110 function as a radial vector when scanning over all possible values of theta and phi produces a 3-D surface which represents the function. Since the magnitude can be positive as well as negative, it is important to represent this facet when describing the function in this way. It is necessary to consider the magnitude and sign of the functions as the (e,2e) Differential Cross Section is parameterised as a linear sum of the angular functions (see equation 6), and so for various values of theta and phi the functions can cancel each other to allow zeroes in the cross section.
The complete set of 3-D images of the 44 Angular Functions Ila,lb,l0 required to parameterise the symmetric (e,2e) Differential Cross Section over the energy range from 1eV to 50eV above the Helium ionisation threshold have been generated. The summation is over the experimental data points i each with an associated weight wi evaluated from the uncertainty in the data. This linear fitting was fast and reliable, yielding excellent starting parameters for the second non-linear fitting method. A Simplex method was used to minimise the c2 function by adjusting the Blalbl0 parameters (see figure 7).
Any trial for which the fitting function did not obey the assumptions was rejected and the Simplex routine was reset to explore alternative regions of the c2 surface. This method converges far more slowly than the linear fitting method but requires no inferred data.
The maximum significant values of la, lb and l0 were established using a statistical F-test. At 1eV excess energy only l0 = 0 to 4 contribute, and the la and lb terms are all of the same sign, reinforcing each other in each l0 manifold. The relative magnitudes of the terms in each manifold combine to produce the lobe structure at the mutual angle of p radians. As the energy increases this regular pattern quickly disappears as the forward and backward lobes evolve from the central 'Gaussian' profile. Higher order l0 correlation terms become significant as the intermediate energy region is entered, indicating an increasing contribution of higher order partial waves to the DCS. Additionally the la and lb terms start to compete in magnitude and sign to produce the more complex structures observed. At excess energies above about 30eV the parameters tend to stabilise in sign and vary smoothly with energy. The maximum significant number of la and lb terms in each l0 manifold also decreases as the energy increases, indicating that the number of partial waves required in the outgoing channel decreases with increasing energy.
Figure 9 shows 3-D representations of the (e,2e) differential cross sections at each energy from 1eV to 50eV excess energy as obtained from fitting the data to the parameterisation. The 3-D surface is generated from a vector whose length is given by the magnitude of the differential cross section as the surface is generated throughout space for all angles (q,f).
The backward scattering region is towards the viewer, whereas the forward scattering region is away from the viewer. The results shown in figure 9 show 3 dimensional representations of the (e,2e) differential cross sections derived from the parameterisation at the energies where experiments were conducted. It is useful to establish a technique which allows interpolation between these results at the eight discrete excess energies, to enable the differential cross section to be estimated as a function of the three angular and one energy variables over the complete range of energies from threshold to 50eV excess energy.

The (e,2e) differential cross section s is then projected onto a four dimensional space, whose axes are defined by the independant variables (s, q,f & Eexc). As this cannot be visualised as a single projection on these pages, it is instructive to map one of these variables onto the time co-ordinate.
In this case, we choose the excess energy to be varied in time, whereas the other 3 variables are mapped onto conventional 3-dimensional co-ordinate space, as has been done in the previous figures.a€?Hence, once the DCS is parameterised as a function of energy as well as a function of the scattering angle, this parameterisation can be used to derive 3-D images at discrete energy intervals.
These images can then be projected as a moving film, where the time from the start to the end of the film depicts the energy change from 1eV to 50eV excess energy.
A cubic spline is interpolated through the parameters as a function of the ratio of excess energy to the ionisation energy of 24.6eV. These are fitted using a ninth order polynomial fit which closely emulates the cubic spline through the data.
Details of these cubic spline fits to the Blalbl0 parameters can be found by accessing the appropriate interlink page splinefit.htm.
The b-parameters which define the normalised DCS as a function of energy and angle can be downloaded here as a text file. Although the b-parameters do not have a direct physical meaning, they allow the normalised DCS surfaces to be generated at any energy from 1eV to 50eV as has been discussed.
100 of these images have been generated at 0.5eV intervals, and compressed into a Quicktime movie. Note that these files are around 3MB in size, so may take some time to download should internet access be busy.
Additionally the evolution of the 44.6eV DCS as successive angular functions are added together can be seen! Mechanisms of origination and social influence of extremely low frequency Eartha€™s electric fields of conservative type and very low frequency spinning electric fields of vortical type are considered in the article.
Unlike well-known technical rotating fields, spinning electric fields of natural origination can be considered as a new class of phenomena. Eartha€™s currents, electromagnetic radiation of Van-Allen belts and natural cavity resonators predetermined EMF spectrum in which everything living evolved. In particular, electrical activity of human brain is related to extremely low frequency (ELF) Schumann waves, extracted by the closed, 40000 km, Earth-ionosphere resonator. On the other hand, same resonator has another, a short-range mode, extracted between Eartha€™s surface and a floor of the ionosphere, 50-80km above. The profound impact of Eartha€™s magnetic fields on living organisms is fundamentally considered in [1].
Unlike vortical magnetic fields, influence of Eartha€™s conservative electric fields is less studied, partially because of difficulties of overcoming artifacts associated with electric fields produced by an operator (simple grounding the operatora€™s body doesna€™t eliminate the problem completely and isna€™t acceptable sometimes). However, Eartha€™s own fields can produce even more drastic results than localized industrial fields, because they cover extremely vast areas of human habiting.
A simple comparison of Fig.1 and the table above reveals matching the frequency band in the table with the originated ELF spectrum induced by turbulent water.
The comparison underlines the social importance of the problem: natural sources can produce ELF fields which dangerously match in spectrum that of human organisms while being more powerful. Naturally-originated alternating electric charges cover vast areas, producing great integrative contribution in originated alternating field in every point. The conservative Eartha€™s fields can induce such the under-crania electric potentials, which drastically exceed that of the brain.
Parametric oscillations manifest themselves through so-called secondary sources: surface electric charges, which origin on a border between two medias in a primary field of some source. For the Nature, electrophysical properties of the media can be shown as a complex dielectric permittivityi??.A  Generally, i??. Considering a social aspect of this type of oscillations, we have to note that existence of pathogenic zones is related to presence of subterranean waters. Another example: a flow of subterranean water comprises the bubbles, which collapse pretty frequently, generating even higher frequencies, which correspond to theta waves, 4-8 Hz, associated with drowsiness, hypnosis, lucid dreaming and light sleep. Virtually, each disease has its own EEG-pattern, which sometimes is seen on EEG-record even before the clinical symptoms appear [9]. VLF-action of the Natural EMF is related to phenomenon of a spinning electric vector, SEV [6-8]. The SEV is formed by superposition of two AC fields, extracted by a natural resonator within VLF band, and then gained a phase shift j.
A A  Fig.1 shows the resonant VLF-band at 6kHz, a whata€™s more, the frequency of its maximum can vary depending on condition of the ionosphere. SEV is a material object, having angular momentum, and, therefore, it can be defined as a virtual gyroscope [8].
N.A Kozyrev, prominent Soviet astrophysicist (1908-1983), has shown gravity reduction effects in his experiments with mechanical gyroscopes, which was confirmed by other researchers. The author has developed special means to study both Eartha€™s and industrial EMF fields [10]. For studying spinning fields, SEV, another instrument was developed: Spinning Electric Vector Analyzer, SEVA.
The experiments with both the instruments revealed both industrial fields and Eartha€™s fields.
The experiments with ELF-meter revealed strong correlation between weather and ELF-portion of the spectrum: impending clouds, their electric charges, drive heavy activity in this portion of the spectrum, as much as 10 times. Scanning country landscape with ELF-instrument also revealed some spots of the elevated subterranean activity as possible indicators of turbulent water streams. Special experiments were conducted with the motion conversion: the ELF-meter in the moving car registered electric-pulse activity as the car was driven along the road with regular planted trees aside. Also, the meter displays heavy ELF-activity around moving human being and especially inside an active crowd.
The considered above conservative ELF and vortical VLF fields are related to a social factor. Unlike ELF electric fields, action of natural VLF spinning fields is based on more subtle mechanism of space-time distortions.
For the Nature, electrophysical properties of the media can be shown as a complex dielectric permittivity .A  Generally, . Greek Letters, Delta Sigma Theta - Plastic Greek letter shaped key tag with one piece ring attachment. Some site features will not function without JavaScript supported and enabled in your browser (it is not, hence this warning). Custom printed promotional products and giveaways with your imprinted logo or personalized message. Item # S-20-20266L : Greek Letters, Delta Sigma Theta - Plastic Greek letter shaped key tag with one piece ring attachment. Additionally, average acoustic values of Debye temperatures, phonon velocities and Grüneisen parameters are given, which are the above quantities, averaged over the three acoustic branches. These experiments have recently been carried out principally by two groups at Kaiserslautern group and at Manchester (see references for examples). This region is now successfully modelled to a large degree using the Born approximation and its associated derivatives. Although theoretical interest in this region is increasing, no theory adequately explains the experimental data accumulated so far.
The Paris coplanar and Manchester Perpendicular plane results at an excess energy of 1eV ionising Helium as the target.
In the experimentally inaccessible regions centred at x = 0A° and x = p the DCS is constrained to be positive and to have no points of inflection, and at the angles x = 0A° and p themselves the DCS is put equal to zero.

The choice of la, lb and l0 used to define the subset is arbitrary within the constraint that the angular functions must be unrelated. These images are established by plotting the magnitude of the angular function against the angles theta and phi that are defined in the function.
These artificially generated points were given low weighting to minimise the constraints placed upon the fit. Consideration of the data sets at all excess energies established that 44 angular functions up to la, lb = 7 and l0 = 6 gave the best overall fit to the data. The fitting parameters can be downloaded as a TAB deliminated text file by linking to the file Blalbl0.dat. Further information can be obtained by linking from the figures to the appropriate WWW page. 3-D representations of the DCS calculated from the fitted parameters Blalbl0 for the 8 data sets from 1eV to 50eV. The 3D Quicktime movie can be downloaded at the end of this page by linking to the appropriate file.
Ita€™s shown that the first category (conservative fields) of natural fields overlaps the spectrum of own frequencies of human organism and can disturb pace of organism. It supports very low frequencies, VLF, 3-30kHz.A  Quantitative difference between both modes brings to their different qualitative action on mankind.
The blue lower line shows the original not-disturbed spectrum, while the bright upper line is a result of influence of turbulent water. In particular, the spectrum of Eartha€™s fields overlaps that of electroencephalography (EEG). Its action is based on originating a vortical electric field, which has low amplitude at such the low frequencies. Beside that, the motion forms an alternating magnetic field, which, however, can be ignored at relatively low speeds of our everyday life.A  Physiological action of the formed electric fields considerably depends on speed. The instrument comprises a quadrupole sensor with two pairs of mutually orthogonal plates, connected to two parallel channels of band-pass filters having VLF center frequency. This can explain change for the worse of human physiological sensation during changing weather: brain and other organs waves entrainment takes place. The motion converted patterns of electric fields around the trees into periodic pulsed of theta-wave spectrum, as was discussed above.
In cities, harmonics of industrial frequency furnish conditions for developing spinning fields.
It has to be said, that this activity depends on a season, time of a day, weather and other factors. Fig.3 shows an oscilloscope image of SEV originated at the corner of the metal box in a room.
Field rotation possesses gyroscopic properties, which in-turn, can influence space-time reality, as this showed N.A. Tailor a unique message by using one of our popular key tags to promote a specific business or industry.
The view down the c-axis (left figure) indicates a slight deviation (~11°) from it. Two heating–cooling cycles indicate the same melting and crystallization point for a given sample, consistent with high purity. The Wannier model parameterisation transformed to the (y,x) geometry is shown as a fit to the data.
The function can either be positive or negative depending upon the value of theta and phi, and the sign is therefore represented by two colours, PURPLE indicating a positive magnitude and RED representing a negative magnitude.
The example here shows the method for finding the minimum of a 3-D Gaussian function of the form z = - exp(-x^2 + y^2). Higher resolution images together with a downloadable EPS file for each of the data sets can be obtained by linking to either of the above low resolution images. The originated field, in turn, causes passing electric current (so called eddy current) through the cells, disturbing their normal functioning.
Indeed, a brain is a heterogeneous structure, where conductive areas alternate with non-conductive gaps.
Shpilaman cause heavy SEV, and what is more, there is a spinning electric process remaining for hours after turning off the axion generators. The next stages of the instrument measure a phase shift between the signal at output of the channels, their amplitude and then calculate spinning S. The sporadic character of the train of pulses matches turbulent flowing subterranean water. The experiments with the digital spectrum analyzer, Fig.1, have revealed seasonable variation of the VLF 6kHz ionosphere resonance, which partially explains these facts. Spinning Electric Field As a Virtual Gyroscope: On Possibility of Existence of Kozyreva€™s Effect in Spinning Fields.
Inset figures are the first Brillouin zones (BZ) of SnSe with high-symmetry points (red points) that we considered in our band structure calculations. This electron, and the incident electron that has lost almost all of its energy in the reaction have similar energies and therefore as they emerge from the reaction zone feel the Coulombic influence of each other and the ion core following ionisation. The scattering is more complex than in the threshold region, since the incident electron can penetrate deeper into the neutral target electron cloud, and therefore there is more complex interactions between the electrons and the core. The Simplex, in this case a 2-D triangle whose vertices are defined by points on the surface, proceeds by reflection, contraction, expansion or shrinking along the surface as shown. Therefore, a local field in the physiological gaps can drastically exceed the external electric field. Geo-faults, natural heterogeneities, corners and other factors can stimulate origination of SEV.
Fig.1, representing the experimental data of the author, shows obvious 6 kHz- resonance in Eartha€™s cavity resonator formed by Eartha€™s surface and floor of ionosphere.
The axion field-SEV-relation experiments, conducted by the author in November 2006 revealed the phenomenon of remaining rotation of SEV after switching off the axion generator.
Sources Of Bio-Active Radiation Collection (in Russian), Moscow Science-and-Engineering Association Of Radio Engineering, Electronics and Communication, 2006, pp.9-25.
The low relative velocity of the electrons allows them to mutually interact for sufficient time to tightly correlate their respective asymptotic directions.
There is now a finite probability of exchange, capture, ingoing and outgoing correlations between all charged particles in the reaction. To study this phenomenon, spinning electric vector analyzer, SEVA, was developed by the author. Therefore, big groups of people can be exposed to brain waves entrainment factors, which can influence their health and social behavior. This leads to both forward and backward scattering possibilities, depending upon the complexity of these interactions. The combination of all six figures provides strong evidence of the single-crystal orthorhombic layered structure of SnSe.
Double continuum wave functions and threshold law for electron atom ionisation, Physics Review A.

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