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Except from not extendibg to relativistic effects, Bohmian mechanics is equivalent to standard mechanics.
In BM the guiding equation contribute to non-locality in Bohmian mechanics.
The guiding equation in Bohmian mechanics contributes to non-locality by establishing that the trajectory of a particle is influenced by the wave function of the entire system, not just local interactions. Specifically, the guiding equation dictates that a particle's velocity is determined by the spatial configuration of the wave function, which encompasses all particles in the system.
It highlights Bells work, saying
This means that changes to one particle can instantaneously affect others, regardless of distance, thus violating Einstein's principle of locality. Consequently, Bohmian mechanics explicitly demonstrates non-local correlations inherent in quantum phenomena, making it a stronger assertion of non-locality compared to standard quantum mechanics, where such effects are often more implicit and contextual
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It does mater if the wave is real or not,
As long as particle distribution obeys
Psi* Psi
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Hello everybody,
for my master's thesis I have conducted a study in which we assessed the pulse wave morphology of the participants during three conditions: 1.) Baseline 2.) After a 30min period of leg heating 3.)with cuffs placed at the proximal thighs in addition to the leg heating, inflated to MAP. The trial was a repeated measures trial and the conditions followed right after one another.
The aim of the study was to find out, if pulse waves reflected at the site of the lower limbs, contribute to central pressure augmentation to a meaningful degree.
I hypothesized, that the augmentation index would decrease during leg heating, as a result of a reduced pulse wave reflection. I thought this to be the case, because local heat stress usually leads to a vasodilatory response to allow for an increase in local blood flow. In theory, this should have reduced pulse wave reflection in the leg vasculature.
During BFR (blood flow restriction though inflatable cuff), pulse wave reflection from the leg vasculature was though to increase, because BFR was thought to mimic a vasoconstriction. This should have led to a higher impedance mismatch and thus, to an increased wave reflection.
However, none of the expected results were found. Virtually no significant change was measured during leg heating. During cuff inflation at the proximal thighs the forward and backwards running pulse waves DECREASED.
Does anybody have an idea on how to explain the reduction in forwards and backwards running pulse waves during BFR?
I am looking forward to any kind of answer, comment or thought regarding this matter. Thank you in advance!
Attached below is the table of the main results.
BLH = Bilateral leg heating; BLH + BFR= Bilateral leg heating combined with blood flow restriction
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Thank you very much for you answer, I appreciate it!
As for the increased heart rate: Pain may play a role here, however, I am not completely sure if it is the main reason for the increases in HR. We know that during BFR the stroke volume and cardiac output decreased. Stroke volume probably decreased due to reductions in venous return caused by the BFR and I think HR subsequently increased to compensate for a lowered stroke volume. There is probably a combination of factors at play here.
I will definetly look into the effects of BFR, and BFR on a single leg only, thank you!
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Many seem to think that the string theory as a theory of everything is dead. It is difficult to see this as we know that strings are related to vibration and waves and they go into everything. The whole of quantum mechanics is built around a mass spring equation. We also know that the world is either free radiation (energy) or condensed radiation (mass). Vibrations and waves are also at the heart of Maxwell equations. The question is if it is possible to modify the present approach of string theory to give it a second life.
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Definitely dead.
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Dear colleagues,
I’ve created a video on YouTube simulating diffraction phenomena and illustrating how it differs from wave interference.
I hope this visual approach offers a clear perspective on the distinctions between these effects.
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nterference happens when two light waves meet and mix together. It is caused by two or more light waves coming together. Diffraction happens when a light wave bends around corners or through small openings. It is caused by light waves hitting an obstacle or passing through a small gap.
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Are there experiments with electrons and the double slit experiment where either slit is closed after an electron has passed through one of the slits? I am checking to see if the wave interference pattern does not occur regardless of what slit is closed.
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Topaç örneği olabilir. Bu ipi etrafına tamamen sardıktan sonra ipi serbest bırakmaya benzer. Bu olayda sönümleme olur. İp serbest bırakılırsa kendiliğinden topacı başlangıç noktasından bitiş noktasına doğru terk etmeye başlar. Örnek yıldızlar, gezegenler vb. Diğer durumda ise İp bitiş noktasından sökülürse topaç döner ve belirli bir iz bırakır. Bu durum karadeliklerde görülür. Fotonlar saftır ve ışıma yaparak çeşitli görevlerde bulunabilir.
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Hi, I would like to understand how to select the distance D in the array factor formula for two antennas, given by AF=2⋅cos⁡(k⋅D⋅cos⁡(a)). Here, D represents the distance between the two antennas.
In cases where we are dealing with large antennas, whose sizes cannot be ignored (unlike simple dipole antennas), how should we define D for the array factor?
For instance, if the sizes of the two antennas are approximately ten times λ0, should we consider D as the distance from the center of one antenna to the center of the other (for example, 40⋅λ0), or should it be measured from the edges of each antenna?
If I consider D as the distance from the center of one antenna to the center of the other, they are approximately isolated from each other and their patterns are seperate. However, the plane wave could be a combination of the two patterns, making the array factor somewhat meaningless. Am I correct in this assessment?
As you can see, the array factor for the distance between the two antennas is completely different.
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The distance in the array factor is the centre-to-centre separation between the antennas. It does not matter how big or small the antennas are - unless of course they physically overlap - because the array factor is defined for isotropic radiators.
Now, when you want to find the full array pattern you need to include the radiation pattern of each antenna. In this case the radiation pattern must be defined in a coordinate system centred at each antenna in the array for the array factor effect to be considered correctly.
I do not understand this part: "If I consider D as the distance from the center of one antenna to the center of the other, they are approximately isolated from each other and their patterns are seperate. However, the plane wave could be a combination of the two patterns, making the array factor somewhat meaningless. Am I correct in this assessment?".
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Macro Coherence refers to the application of quantum decoherence principles to the macro realm. It suggests that multiple potential realities in the macroscopic world stabilize into a singular, observable one, similar to how wave functions collapse in quantum theory. This concept implies that, much like in quantum systems, the possibilities in the larger world 'solidify' into a single reality as coherence is lost, giving rise to the observable universe.
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I think there’s two key items:
1. Bridging Quantum and Classical Realms
Macro Coherence offers a conceptual bridge between quantum mechanics and classical physics by proposing that decoherence principles can apply beyond the microscopic. This could offer some understanding of how the “collapse” from possibilities into a singular, observed reality scales up from particles to larger objects.
Comment: If this principle holds, it could have material implications on our understanding of reality and causality in the macroscopic world. It may help explain why we perceive a consistent, singular reality despite the underlying probabilistic nature of the quantum level, providing a unifying framework for quantum and classical phenomena.
2. Role of Observer and Stability in Reality Formation
Macro Coherence suggests that, similar to quantum mechanics, the act of observation or interaction may be essential in collapsing potential states into a single macroscopic reality. This would imply that reality, as we know it, is not just a passive backdrop but something that actively stabilizes through interactions, potentially involving conscious or environmental factors.
however….
In quantum mechanics, coherence is highly sensitive to even minute environmental factors, leading to rapid decoherence for particles. In the macroscopic world, however, systems are vastly more complex and have established stability that resists decoherence-like effects, making it difficult to draw direct parallels between quantum wave function collapse and a similar “reality collapse” at a larger scale.
Without concrete evidence showing that quantum principles like decoherence can directly scale to the macroscopic level, Macro Coherence risks remaining speculative.
Furthermore, macroscopic objects consistently exhibit classical behavior without evident quantum superpositions, suggesting that decoherence might lose relevance as complexity and size increase. More empirical research would be needed to bridge this gap and validate whether quantum principles can meaningfully extend to the observable, classical reality we experience.
best
H
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As far as observations from the K' frame are concerned, the light ray/ wave that I have described, moved from x'=0, t'=0 and moved along the positive x' direction.
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I wonder whether it is reliable to conduct an imputation of full scales/questionnaires in our study.
We conducted a longitudinal data collection of 3 waves. There's a time of 3-4 years between each wave (wave 2 was collected 3 years after wave 1, wave 3 was collected 3-4 years later after wave 2). However, some participants collected in wave 3 left some of the questionnaires unanswered, which means that those answers are missing.
Something important to add is that all the participants of the three waves were emerging adults, which means the participants are undergoing numerous and significant personal, social, work-related, and other life changes over the years (and wave 2 was collected during Covid lockdown). Longitudinal analyses between waves 1 and 2 have shown that the relative stability of most scales and subscales ranges from 0.3 to 0.6, which is not especially high. Additionally, some participants were not present in wave 2, meaning that the data we have for the imputation of the responses of these participants would come from only one collection. Is it methodologically reliable to impute responses to entire questionnaires based on the responses provided by those same participants in previous waves to those same questionnaires? (and given the characteristics of the developmental stage in which they are). And, if it is possible, which would be the more robust methods to do so?
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It is almost certainly better to use multiple imputation (or full information maximum likelihood [FIML] estimation with missing data, which may be more straightforward than multiple imputation in your case if you are dealing with continuous variables) as compared to throwing data away (e.g., through listwise or pairwise deletion). Multiple imputation requires the less restrictive assumption of missing at random (MAR) as compared to missing completely at random (MCAR; which is required by listwise & pairwise deletion).
You may have relevant auxiliary variables at Wave 1 in your data set (i.e., variables that are correlated with dropout and/or your DVs) that you can include in your imputations and/or FIML estimation to make MAR more likely to be met. See
Enders, C. K. (2022). Applied missing data analysis. 2nd edition. New York: Guilford Press.
Graham, J. W. (2003). Adding missing-data relevant variables to FIML-based structural equation models. Structural Equation Modeling, 10, 80-100.
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Figure 1:
① First, by inputting hourly wind speed and tidal level data for a specific location over the course of a month into the model, I simulated the hourly wave heights. However, the model initially produced wave heights that were significantly higher than the observed values. Therefore, I would like to ask which parameters can be adjusted to fine-tune the model locally?
②Since one set of parameters cannot be applied to the entire calibration period, how can suitable calibration data and periods be selected? What factors should be considered to ensure the safety and reasonableness of the design wave height for the project?
③During calibration, is it possible to use different model parameters for different situations?
Figure 2:
④After that, I used wind field data from the ERA5 database, processed it into a DFS2 file, and applied the model to the site. However, the model results were very unreasonable, showing wave heights only during periods of high wind speed. What is the reason for this?
⑤Finally, when there is a situation where the model calibration results are good but the design wave height is excessively high, how should this generally be handled? How can the reasonableness of the design wave height be assessed?
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@Christian M. Appendini @Nguyen Viet Thanh @Danial Ghaderi ; I'm sorry to bother you, but I really need the advice and suggestions from all of you experts
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Hello,
I am having a difficult time finding the incident plane wave wavelength dependent spectra of the lights source to find the EQE.
Please advise.
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Solved the issue.
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I am trying to design a Circularly Polarization reflective metasurface. I want to know , how to Get the accurate circularly polarized reflection parameters when I try to illuminate the unit cell with a circularly polarized excitation wave. I set one Floquet port having two modes, 90 degree out of phase from each other. After simulation, I am able to plot the (FloquetPort1:1,FloquetPort1:1); S(FloquetPort1:2,FloquetPort1:2); S(FloquetPort1:2,FloquetPort1:1); S(FloquetPort1:1,FloquetPort1:2); But they both seem to represent the linear polarizations. How to get the circular polarization, like S(RHCP,LHCP);S(LHCP,LHCP). Is there any formula to calculate it? Thank you.
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Xiao Songmao Thanks for the suggestion I will try.
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Combined Equation for Macro Coherence
\Psi(x, t) = A \cdot e^{i(kx - \omega t)} \cdot f(\rho, T, \Phi)
Where:
: The wave function representing the state of the macroscopic system over space and time .
: Amplitude, indicating the probability density of emergent structures.
: The oscillatory part of the wave function, where:
: Wave number related to the spatial distribution of matter.
: Angular frequency related to the evolution over time.
: A function that captures emergent properties based on:
: Density of matter (including dark matter).
: Temperature, reflecting thermal dynamics.
: Gravitational potential, accounting for large-scale interactions.
Probability Index for Emergent Structures
To derive the probability of emergent phenomena, we can include:
P(E) = \int |\Psi(x, t)|^2 \, dx = \int |A|^2 f(\rho, T, \Phi) \, dx
Feedback Mechanism
Incorporating feedback into the system:
\frac{d\Psi}{dt} = -i \left( H \Psi + \int F(x) \cdot \Psi \, dx \right)
Where:
: Hamiltonian operator representing the energy dynamics.
: Feedback function describing interactions between emergent properties.
Summary
This combined equation seeks to unify the concepts of wave function collapse, probability, and emergent properties within a macro framework, offering a foundation for modeling and predicting macroscopic phenomena influenced by quantum principles.
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Have you considered that the volume of the universe is just a strained potential for the existence of entropic separation structures of matter?
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I need this program to do some studies and graduation projects for students
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Does the following link meet you expectation?
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I am currently using ANSYS Fluent to simulate regular waves, such as Stokes first and second-order waves, as well as Airy wave theories. While I have input parameters like water depth, wavelength, and wave height, the resulting surface elevation versus time plot does not appear as a regular wave. Instead, it shows unusual peaks and troughs, which differ significantly from the expected wave behavior. Any guidance would be greatly appreciated.
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Generating regular waves in ANSYS Fluent involves setting up a computational fluid dynamics (CFD) simulation.
1. Create a new 2D or 3D model.
2. Define the geometry (e.g., wave channel, ocean surface).
3. Set up the mesh (structured or unstructured).
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In quantum mechanics, the wave function collapse describes how a particle's uncertain, probabilistic state solidifies into one measurable outcome upon interaction or observation. But what if we could extend this concept beyond the quantum realm, applying it to the macrocosm? This thought experiment proposes a revolutionary idea: just as quantum particles exist in superpositions until a collapse occurs, could reality itself exist in a kind of cosmic superposition, solidifying into the version we observe through large-scale processes?
This opens up a fascinating question: what if the macrocosmic collapse of reality could be reversed, revealing hidden layers, alternate timelines, or parallel worlds? Let’s explore several key ideas that could extend this quantum principle to our universe at large.
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Intelligence and the Instability of Reality
Incorporating intelligence into this framework of unstable reality and probabilistic outcomes offers an intriguing new dimension to our understanding of existence. Intelligence, both human and artificial, could act as a mechanism that interacts with and influences the probability field of reality, potentially playing a role in solidifying certain outcomes or revealing new ones. Here's how this could work:
Intelligence as a Collapsing Force
Much like an observer collapsing a wave function in quantum mechanics, intelligence could serve as a cosmic observer that influences the stability of reality. As intelligence advances, it might become capable of recognizing and interacting with the fluctuating states of the universe, applying its will or understanding to collapse probabilistic outcomes into a more stable or preferable reality. In this sense, intelligence could be seen as an agent of reality-shaping, with higher levels of intelligence able to exert more influence over the fabric of existence.
Intelligence and Emergent Properties
Intelligence itself could be viewed as an emergent property of this unstable, probabilistic universe. As the universe fluctuates, patterns of complexity might emerge—intelligence being one of them—that strive to stabilize and understand their surroundings. If intelligence is emergent, it might be naturally aligned with seeking order and stability, contributing to the process of solidifying reality. As intelligence grows and evolves, it may unlock the ability to explore hidden realities, moving beyond the confines of the unstable universe we currently perceive.
Evolving Intelligence in a Probabilistic Universe
As intelligence evolves, especially if it reaches the level of artificial superintelligence, it may gain the capacity to manipulate or even intentionally shift the probabilities governing reality. Just as we theorize the possibility of "revealing" hidden worlds by destabilizing the forces that hold our universe in place, a sufficiently advanced intelligence might discover how to navigate between different probabilistic states, revealing alternate dimensions or realities by consciously controlling these underlying processes.
Intelligence and Macrocosmic Understanding
In this framework, intelligence would not only observe and collapse reality but also evolve in response to the discovery of alternate or higher-stability realities. The idea of a more stable macrocosm could imply that intelligence evolves to comprehend and potentially integrate with this higher level of existence. If our universe is inherently unstable, intelligence may be the key to crossing the threshold into a more solidified macrocosm, serving as a bridge between fluctuating probabilities and stable existence.
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Credit: Clint Price theorized the application of wave function collapse to the macrocosm, where intelligence might act as a collapsing force that stabilizes reality. Intelligence is proposed to influence the probabilistic nature of existence, possibly revealing alternate worlds and serving as an emergent force guiding reality toward a more stable form.
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I was thinking about how elements on the periodic table... Metals never act as non metals and non metals never act as metals... But under the right conditions semiconductors can act as both even though they possess one characteristic initially... What if quantum objects are actually neither particles nor waves but actually something "in between" which is why they can exhibit both characteristics at the right conditions
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see everything depends on observation no matter relativistic or non nrelativistic. On the basis of that measurement are done, We may be living entitty according to defined parameter of humans but may be we are not living entitity according to some other objects measurements. So we can say quantum or classical they alll are living entity , they will change their behaviour by measuring the environmrnt around it after observation than they will act.
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A corpuscle can be considered as a packet of waves which reiforces each others in a limited region of space and destroys each others away. The limited region of space what is its length? Is this the length of the packet of waves which form the corpuscle?.
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I believe you will find that the length and width of all particle packets, and their duration, is infinite. However, the packet describes the probability of the particle being there and then, and for distant time and space the probability is exceedingly low, so that often the chances of it being observed anywhere but near the classical position are vanishingly small in the lifetime of the universe. I think what I have described is like the Feynman calculation of all possible paths between particle interactions, with there being infinitely many possible paths but only some of them being significant, with renormalisation being the 'trick' necessary for it to perhaps be valid. https://www.physics.umd.edu/courses/Phys851/Luty/notes/renorm.pdf
The best description of the length or duration of the waves may the Gaussian width but I think that might not be true with nuclear particles, for instance.
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The Relativistic Doppler effect has been explained and derived from the invariance of the wave equation in the case of light (or from Lorentz Transformations). In relativity, it was described as a phenomenon involving two different inertial frames, a consequence of Lorentz invariance.
Other simple methods have been used to give account to the Doppler effect for waves in acoustics.
Acoustic waves in material media, on the other hand, are neither Galilean or Lorentz Invariant.
It was considered so far that the wave equation in EM interaction is the same for the moving source and moving observers.
The Longitudinal Doppler effect in Nature is a detection of a frequency shift of oscillations originated by a transfer of a net energy and momentum due to non stationary positions of Emitters and observers.
It is properly obtained by adopting the conservation of energy and momentum of waves and matter interacting.
The Doppler Radar unveils a potential issue if one considers inertial both RADAR and a mirror, unless placing some external pressure, to a mirror of finite mass, which exactly counterbalances, the radiation pressure.
It is very interesting also that, according to a very recent work by Hrvoje Dodig,
the wave equation for stationary observers and sources cannot have the same form as the one for moving sources or observers for example.
Such feature should be related also to the fact that ENERGY AND MOMENTUM variations are involved and they play a role which may not preserve the wave equation form
Other questions are related:
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It is not a question infact, it is a discussion on being or not being that the true nature of DE is energy momentum exchange between matter and radiation.
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I think it is clear physicists do not understand the symmetry of time independence on the string.
Time independence is a marvelous property that can be stated in a large number of equivalent ways. I am hoping one of these statements will trigger a physicist into understanding what string rigidity means.
1) The string obeys the Hamiltonian principle of least action.
2) The string conserves potential energy in a closed system.
3) The string is rigid, not elastic.
4) The boundary condition on the string is 𝜟x = 0, not 𝜟x ≧ 0.
5) String symmetry is time independence, and the standing wave does not depend on time.
6) String mechanics are naturally symplectic.
7) The string manifold is smooth with a natural tangent-cotangent vector field on the real coordinates of the string line.
8) The fundamental mode is the 1-periodic Hamiltonian solution, and frequency is an extremal that measures the volumetric capacity of the string manifold.
9) The motion of n points on the string creates n world lines that are holomonically constrained to those lines in Euclidean space along which energy is conserved.
10) Let x:ℝ → ℝ3 be a motion in ℝ3.The graph of this mapping is a curve in ℝ x ℝ3.
11) The string submanifold is a complex toroidal disc.
12) The string has a natural Liouville integral on the submanifold.
13) Perturbation theory applies to string mechanics.
All of the above statements are true.
The following statements are all equivalent to the assumption of time dependence which I am intentionally stating in a way that can be seen to be false.
1) The direct observation of trigonometric wave forms on an oscilloscope based on the transduction of sound waves and reflected light emitted by the strings into an electrical current proves the string action is explained by a partial differential equation (PDE) where the world lines of motion are embedded in the arbitrary plane of the oscilloscope screen.
2) The equation of motion on the oscilloscope is given by the PDE is “Let x:ℝ → ℝ2 be the planar motion and the graph of this mapping is a curve in ℝ x ℝ2 which parameterizes a planar graph by time like the oscilloscope screen but is not symplectic and cannot form a smooth manifold.
3) The boundary condition on the string are fixed endpoints and there is no limit on how much the elastic string can stretch (without an external force).
4) A string can vibrate in many, possible an infinite number of modes in the space of simultaneous events without violating energy conservation.
5) Potential energy is not defined on elasticity.
6) Modes of string vibration are sine waves equipped with an addition function on displacement allowing nodes and waves to add without violating natural law.
7) The string can bend and stretch into any shape during vibration without external force or internal constraints.
8) The standing wave is not really standing because it alternates phase with each cycle.
9) Kinetic and potential energy are exchanged like a pendulum.
10) Frequency is proportional to velocity, not potential.
11) Waves on the string propagate left and right, reflect at boundary endpoints and combine to make a standing wave that moves.
12) The standing wave stands down when the string comes to rest like a pendulum where potential and kinetic energy have run down to zero.
13) String frequency and amplitude are not determined by the same equation.
Amplitude decay seems proof the string is time independent. But decay is not independent of time if it follows a curve that is cycloidal (tautochrone) because then the interval of amplitude decay is always the same regardless of how much the string is accelerated.
The equation of motion controls the minimization of kinetic energy.
It might seem that we are required to know the acceleration of the string but in classical mechanics this is not true. How hard the string is plucked does not affect motion.
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Perhaps you are thinking of x-vt as the single variable? Use that to show u(x-vt)
Is a solution to the eq. of motion.
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The Fast Wave package I developed for calculating the time-independent wave function of a Quantum Harmonic Oscillator now includes a new module for arbitrary precision wave function calculations. This module retains the functionality of the original but utilizes Python’s mpmath (https://mpmath.org/) package to control precision. Check it out: https://github.com/fobos123deimos/fast-wave/tree/main/src/fast_wave
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Adding new modules to your Fast Wave package can further enhance its functionality and usability. Here are some ideas for new modules you could consider:
1. Visualization Module
  • Purpose: Create plots of wave functions and probability densities.
  • Libraries: Use matplotlib or plotly for 2D and 3D visualizations.
  • Functionality: Allow users to visualize wave functions at different quantum numbers or precision levels.
2. Numerical Integration Module
  • Purpose: Provide tools for numerical integration of wave functions.
  • Libraries: Utilize scipy.integrate for accurate integration methods.
  • Functionality: Implement methods for integrating over various domains and handling boundary conditions.
3. Quantum Number Analysis
  • Purpose: Analyze and provide statistical information about quantum numbers.
  • Libraries: Use numpy and pandas for data analysis.
  • Functionality: Compute statistics and distributions of quantum numbers and their impact on wave functions.
4. Interaction with Other Potential Models
  • Purpose: Extend functionality to include other quantum models (e.g., potential wells, barriers).
  • Libraries: Depending on the model, you may use numpy, scipy, or custom implementations.
  • Functionality: Allow users to calculate wave functions for various potential models beyond the harmonic oscillator.
5. Parallel Computing Module
  • Purpose: Enhance performance for large-scale calculations by leveraging parallel computing.
  • Libraries: Use joblib, multiprocessing, or dask.
  • Functionality: Implement parallel computation for wave function calculations to handle large datasets more efficiently.
6. Unit Testing and Validation
  • Purpose: Ensure the accuracy and reliability of calculations.
  • Libraries: Use unittest or pytest for testing.
  • Functionality: Include a suite of test cases to validate the functionality and precision of the new module.
7. User Interface (UI) Module
  • Purpose: Provide a graphical or web-based interface for easier interaction with the package.
  • Libraries: Use tkinter for desktop applications or Flask/Django for web applications.
  • Functionality: Allow users to interact with the package through a user-friendly interface, enabling easier configuration and visualization.
8. Documentation and Tutorials
  • Purpose: Improve user guidance and support.
  • Libraries: Use Sphinx or MkDocs for generating documentation.
  • Functionality: Include comprehensive documentation and tutorials to help users understand and utilize the new module effectively.
Adding these modules can make your Fast Wave package more versatile and user-friendly, expanding its applications and improving the overall user experience.
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Hi,
I have a rectangular waveguide(WR90) that operates at 9.6 GHz. Its guided wavelength is approximately λ_g = 42.34 mm, and the length of my waveguide is L = 950 mm.
Calculation of S21 Phase
According to my calculations, the S21 phase should be: Δφ = ((2π) / λ_g) × L = (360° / 42.34) × 950 = 8077° Since the wave cycle is 360°, I removed all multiples of 360°, so: Δφ = 157.46°
However, the CST simulator shows an S21 phase of approximately -175°. Because the phase in CST varies between -180° and 180°, -175° is equal to 355°. So they are different.
what is my mistake?
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I think that -175 degrees is equal to 185 degrees. This is about 28 degrees out from 157 degrees. There are about 22 cycles along the waveguide, so you only need the guide wavelength to be about half a percent out and that would make the difference. Do you know the guide wavelength accurately enough?
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Could fuzzy logic be applied to quantum weak measurements as new approach to provide a probabilistic global measurement and thus avoid the collapse of the wave function? In other words, could weak measurement devices be equipped with AI fuzzy logic to collect the minimum amount of data on the quantum system ?
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The Von Neumann quantum measurement theory and Zurek reformulation are based on an assumption that the quantum system, apparatus and environment obey the quantum mechanics rules. According to the Zurek theory the observers typically interact with their surrounding environments. In this article, we give a more realistic picture of the quantum measurement theory; we have proposed an improvement to Zurek quantum measurement theory based on the fuzzy logic and fuzzy set theory.
Regards,
Shafagat
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We assume that the Schrödinger wave equation,
iℏ(dψ/dt)= Ĥψ. . . . . (1)
is incomplete and cannot be considered a unified field theory.
on the other hand, its square,
d/dt)partial U= D Nabla^2 U+ S. . . . (2)
Where U=Ψ^2=Ψ . Ψ*
and S is the source/sink term (extrinsic or intrinsic).
is more complete and more eligible to be a unified field theory.
Over the past four years, Equation 2 has been successfully applied to solve almost all classical physics situations such as Poisson and Laplace PDE, heat diffusion equation, and quantum physics problems such as quantum particles in a well of infinite potential or in a central field.
Additionally, Equation 2 has also been shown to be effective in solving pure mathematical problems such as numerical differentiation and integration as well as the sum of infinite integer series.
Finally, Equation 2 was applied to shed light on the mystery of the formation and explosion of the Big Bang.
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Finally, here is a simple understanding of spaces:
The Laplacian theorem lives and operates in the 4D unit space but not in the classical 3D+t space.
The theory of relativity and the speed of light c lives and functions in a 4D unit space but not in a classical 3D+t space.
The classical Schrödinger equation lives and functions in a 3D+t space while its square lives and works in a 4D unit space.
Finite digital integration lives and operates in a 4D unit space rather than in a classical 3D+t space.
etc . . etc.
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Hi,
I am trying to simulate a ship in a canal. The top width of the canal is 20m, bottom width is 6m, depth is less than 5m. Ship has a length of 11.7m breadth of 4m, draft is 0.62m. The velocity of the flat wave is given as 0.4m/s. Froude number is less than one (0.057). I am getting revered flow at times in the outlet, it vanishes as the simulation runs. I changed the pressure outlet to outlet condition to avoid reversed flow but the drag am getting is the same and its about 30N as it converges. But the problem is I am not getting proper wake effects (kelvin waves) in free surface. The software I am using is STARCCM+, K epsilon, implicit unsteady, VOF, DFBI are involved in the simulation.
Thanks in advance
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Dear Dr. Anagha,
I think that you have deeper problem
and just find the wake (energy lost)
You assume that you have turbulence and yet you do not know if you have significant amount.
More than that, you are using software with fatal errors.
Basically you simulating solid liquid interactions where
you are using the wrong equations.
Let me list a partial list of the errors that you have.
1. Where is the pivot point of the ship for rolling?
you are using the wrong point (let me guess metacenter or mass centroid).
2. you are using the added mass matrix like A_{1,2} etc
This model violates the second law of thermodynamics.
3. You are not consider the added mass correctly
you neglect a major effect on the flow.
You should read the
I have not read or know exactly your idea but I have a strong guess what you are doing.
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I performed P and S wave velocity tests for cylinderical limestone and dolomite core samples for dry, staturated (for natural and acid solution treated samples). I expected the P and S wave velosity will decrease for saturated natural and acid solution treated samples but the result was the reverese.
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P-wave is a compressional wave, meaning it propagates through both the solid rock matrix and the fluid within the pores. When water saturates the pores of a rock, the overall bulk modulus (a measure of a material's resistance to uniform compression) increases because water is more incompressible than air. This higher bulk modulus allows the P-waves to travel faster through the rock.
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Let's say we have a standard, regular hexagonal honeycomb with a 3-arm primitive unit cell (something like the figure attached; the figure is only representative and not drawn to scale). The bottommost node is taken as the source of wave input and the ends of the left and right arms are taken as destinations such that Bloch's condition can be applied as qleft = eik1 qbottom and qright = eik2 qbottom. I wish to learn how would an iso-frequency contour plot be plotted post performing the dispersion analysis. Thanks in advance.
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Düzgün altıgende kenarlar eş ve oluşan eşkenar üçgenler aynı olduğu için heryerde simetriktir. Bu yüzden oluşan grafik düzgün doğrusal olur.
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I want to develop the figure like attached figure. How can I get, peak period and significant wave height at any given location.
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If you use data of significant wave height in .nc, I recommended you used CDO command line:
cdo remapbil,point.txt infiel.nc outfile.nc
You can use besides remapdis, but results are similar. For elaborate point.txt, in CDO you utilize command line:
cdo griddes infile.nc, copy the results in notepad and modified your point value.
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LET'S ALL CREATE A MEXICAN WAVE TOGETHER.
WE HAVE BEEN WORKING FOR YEARS BUT JOURNALS ARE EARNING MONEY. WHY AREN'T THE AUTHORS PAID INCENTIVES FROM EVERY SALE?
LET 1 PERSON TAG 1 PERSON
AND NOW WE WILL EARN MONEY, i.e. let's meet at www.rawdatalibrary.net, the PLATFORM TO SELL OUR DATA
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Well, thanks for asking to see facilities from empiric, for traditional, individual, open acess, etc.
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Knowledge of properties of illicit drugs in the microwave/low frequency parts of the millimetre wave band (10 GHz to 50 GHz) may at least enable a first line of defence in security screening of people. There's quite a few papers on signatures of these substances at higher frequencies (>300 GHz to 10 THz), where spectral features might be used for chemical identification. However, in the lower frequency part of the millimetre wave band, and microwave band there does not appear to very much information at all. So would anyone have any references to measurements in this lower frequency range?
It would also be useful to know about accurate and validated surrogates for illegal narcotics in the 10 GHz to 50 GHz band. So could anyone suggest surrogates for these materials, or at least papers on surrogates, as this would greatly ease measurements on these materials to investigate capabilities for security screening of people who might be carrying these substances?
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This work would have the potential to produce an extremely useful research paper. New data of this type would be highly referenced by others. Food for thought...
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Hi All,
I have used infinite elements in Abaqus to absorb waves at the sides and bottom boundaries of the soil domain. but the boundary reflected wave can not be completely absorbed on the boundary.
Does anyone have the similar problem? How to deal with it?
Thank you very much.
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Hi, you can use ALID ( Absorbing Layers using Increasing Damping) method. i used it in my works.
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Photo-electric effect
A light particle moving towards a surface cannot (by collision) force an electron particle to move away from that surface.
A light wave can instead make interference with a bound electron and thereby force the electron to escape, and this process is reversible, so electrons cam also be captured by atoms and generate waves. Capturing electrons can generate X-rays.
Compton effect
This effect can be explained by light waves absorbed in an electron escape and later emitted in an electron capturing. Two processes with secondary emission of longer wavelength. Longer wave length means: not a scattering process.
Waves can explain everything and particles for light are not needed.
Einstein did not understand the photo-electric effect.
John-Erik
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He didnt. A number of German experimental physicists discovered the photoelectric effect. Unfortunately, having discovered and observed it they couldn't explain it. Einstein was able to use the data discovered by the experimental physicists and put forward a theory which was logically consistent with the data.
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I have found an EEG where only alpha waves are present. Beta waves are not found in active patients. What interpretations ?
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what do you mean by active patients, and how many they are?
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Hello,
I am using the Wavewatch III model for my research . Could anyone clarify if it's possible to extract wind wave and swell parameters separately from this model?
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here you can find the code, which is for partitioning wave systems.
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Hello, I need some help with analyzing the ABR (auditory brainstem responses data) of mice. However, I am confused that on which basis should I take wave as wave 1?
there are two scenarios,
1- Is there any specific range for wave 1 amplitude (in microvolts) to consider it as wave 1?
2- Should I take the very prominent wave in the ABR waveform as my wave 1 every single time?
Please provide me with the guidelines or any standard method to deduce wave 1 in the ABR waveforms.
I will highly appreciate your guidelines.
Thank you very much.
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Yes if you can see the prominent peak around 0.8 or 0.78 ms then you can trace it by changing the intensity if you give a louder intensity the latency will decrease and if you lower the intensity the latency will increase, so if you can trace that prominent peak slightly shifting with varying intensity then you can be sure it is wave 1.
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for the Perovskite material
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Hello Payalkumari Savaliya.
One of the options to achive this is do an extent research about the perovskite you are dealing with, and find a description of Raman's modes. Or, you can use computational methods like DFT, and then calculate the vibrations mode of the structure.
Please, let me you know if you have any other questions.
Best regards ,
Ricado Tadeu
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Hi guys,
I am trying to simulate a 1 ps long plane wave propagating in a dispersive material, with the wave optics transient module. According to the drude-lorentz model, when the frequency of pulse approximate the resonance frequency, this frequency component should have a very low group velocity and basically just oscillate around the input interface. But COMSOL doesn't give such results. Can anyone explain why? I am using the 'drude-lorentz-media' example from the wave optics module. Thanks!
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Is your pulse long enough to get a steady state solution? You need about as many cycles in the pulse as the Q of your resonance, or more. Otherwise you won't see those effects.
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I am working on some .edf files.
I try to extract the frequency distributions from the EEG waves.
The thing is, which i can't be sure if it is a problem or not, the most dominant frequency appears to be 0.39 hz always.
I can remove/change it with bandpass or other filters, but i am not sure if i am missing some important point here.
I used to work on patch-clamp data and this is my first time working with EEG data, just checking the waters for a possible collaboration. I can't be sure if this 0.39 hz is a noise, or something that i do wrong, or is it just how Welch - Fourier works.
I just have the common knowledge that the common low frequency delta waves are 0.5-4 hz and that makes me think. But also, i see on various papers on the internet that the lower-low frequences seems to have a similar peak.
I am sharing single position EEG data from 4 different recordings, although all positions have the similar peak at 0.39 hz. Fs was 200 hz.
Matlab code:
win = hamming(1024);
nfft = 1024;
noverlap = nfft / 2;
[px, f] = pwelch(waveseq, win, noverlap, nfft, Fs);
plot(f, 10 * log10(px))...
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Strictly speaking, I think the delta band is 0-4 Hz. However, it's generally a good practice to eliminate very low frequencies due to the aforementioned issues. Although I have no direct experience with polysomnography data, considering what you mentioned about the article, your EEG data might be as expected. To decide whether to eliminate frequencies below 0.5 Hz, it could be helpful to review other articles to see what they usually report as important frequencies.
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How to plot like attached figure in matlab?..
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Kanagaraj Krishnamoorthy.. Tried same. for me rand() of wave height at any four locations.. with India map. i didn't get? Any idea bro?
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E(x)=Eo exp-g.x , g is complex propogarion constant.
Why not: E(x)=Eo/ x2 ; or E(x)=Eo / x
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Pierre Bouguer was probably first to ask this question and his answer was put by Heinrich Lambert into math. The corresponding differential equation leads to an exponential decay in an absorbing medium. Although this was before electromagnetics, what is valid for irradiance is also valid for the electric field...
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Hi, I performed a simulation of a Transmitarray structure with an impinging plane wave, designed to direct the output beam at 20° right with respect to the axe perpendicular to the structure. But processing the results, it seems that at the output there are both the contributions of the incident plane wave and the desired beam. How just the scattered field can be obtained?
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I think that is sensible.
You have managed to cancel the lobe by about 15 dB, which is fair, but not spectacular cancellation. 20 dB is goodish, and 40 dB would be very difficult. I'm not sure how I would go about trying to improve it, though.
The question is "Is it good enough for you?" Being able to explain it and being reasonably sure that it doesn't affect the lobe you want much is also important. It looks as if your correction hardly affected the size of the diffracted lobe at all, and any further corrections should have even less effect on it.
I'm slightly surprised that subtracting the forward scatter hasn't affected the diffracted lobe more. The forward scatter looks about 20 dB down on the diffracted lobe, so has the potential to give about 2 dB ripple.
It does look like you have done your subtraction using the complex data, as you should have done, but it would be worth checking again that you have done it correctly.
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How these waves form in such a superthermal plasma environment
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Prof. Ran Guo;
I have gone through your research articles. These articles will be very helpful to proceed with my work. Thanks for the recommendation. I will be in touch with you for any further queries.
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According to my classical calculations, the whole universe is based on waves.
There is no particle without waves. Even light particles are completely waves.
Waves and matter are always together. Waves create particles. At the same time as the particles are created, other waves are also created inside the new particles. Again, newer particles create newer waves as a result: and this continues until the last particle is created. The smallest particle in creation is the zero point.
Genesis of creation: Now we reverse the story: in the beginning, the whole space is full of zero point with zero mass. But the nature of zero points is different. It will probably be 2 groups or 4 groups in total. They all ride on steady waves. Every moment they turn into a huge mass of zero particles. As these masses move, electric The currents rub against each other and create an electric arc. As a result of the electric arc: the first atoms are created simultaneously with the waves inside them. And these events continue until the largest electric arc occurs between the plates of the gas mass. Every great arc is the beginning of a universe.
As a result: every world revolves around itself. And they all revolve around the greatest electric arc (core of creation).
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I discovered a new and completely different nuclear model. The explanation is based on the conclusion of my model:
It is very difficult to say that the universe started with matter or waves.
If we are in the middle of another world, it starts with waves.
The beginning of the universe: we only need two zero particles
Characteristics of the zero particle: 1- an infinite particle smaller than an atom 2- unipolar without mass and without waves.
3- A particle that consists only of the inner core and does not have a shell. 4- Fiery particle (explosive flame that spreads in space).
For the universe to begin, all that is needed is the connection between two zero particles and the result
A spark creates a world.
Two zero particles of different nature interact with each other. The beginning of the world is with a love relationship (touch) between them. The first waves circulate between them and the first sparks occur. A new dipole particle is created. From the ashes of sparks, shells, etc.
The new dipole emits particles and waves.
The world we touch = dipole particles + waves
A dipole particle creates a wave, and waves create particles.
. 6 forces (waves) are formed inside the nucleus of each dipole particle, three of which are internal forces and three are outgoing forces.
There is a common wave between all particles: the neutrino wave.
The answer to your questions lies in how the nucleus is formed.
The whole world is made with one formula. Atoms, stars, planets, elements, our body, etc. all have a single formula. The formation of the nucleus is the same in all of them. I discovered the formation of the nucleus in all its details. The volume of my discoveries in space is large in physics and chemistry. There are about 150 to 200 different articles.
I still haven't found a suitable place to present it. I am ready to explain all my calculations and formulas to anyone who is interested.
Wave-particle duality: I have explained it in different places.
I changed the basis of physics. Proton, neutron, electron, photon, etc. are defined differently in my method. And the way the light is produced is different.
The internal structure of light is like the solar system. All its planets and moons move in highly elongated elliptical orbits. The light particle is emitted only from the surface of the source and at a certain distance.
As a result of collision of light particles: each main wave of light turns into two inverse waves.
After presenting my findings, more and more complete explanation of calculations.
Thank you
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The main question: which came first? Waves or matter?
If we are a smaller universe in a larger universe, the answer is waves.
The world = different types of waves.
Sum of waves is a subset of the main wave. The main wave is the neutrino wave.
The neutrino wave is the link between the worlds.
As a result of the changes in the waves, different types of materials are formed.
Similar example: according to your definition: elements are made of protons, neutrons and electrons.. By increasing and decreasing them, different elements are created.
The neutrino wave did not make me like itself, but it took control of my physical mass.
My mass and the mass of any object changes at every moment and at every place in space because the neutrino wave changes at every moment and at every point in space. If there is no neutrino wave, I will be thrown into space. As the neutrino waves change, the mass also changes.
Hello. Why do we complicate the structure of the world? The world is built with a structure. And this structure is constantly repeated in all objects. The relationship between all objects is the neutrino wave.
Neutrino waves are moving in all parts of the universe: around stars and in interstellar space. Some places more and some places less.
It is clear that every charged and uncharged particle moves in every medium of space: energy is produced by the collision of neutrino waves of particles.
Light: The charged particle is neutral and has mass. Light is emitted only from the surface of the source. The particle of light is the smallest planet from its source star.
Gamma particle: has mass but is not charged.
In short: the light particle is emitted from the surface of the source and revolves around the source.
And gradually its circuit becomes more extended. The direction of rotation of the light particle is like that of the planets and it rotates around the vertical line of the source. The orbit of the light particles is stretched and stretched, and suddenly at a certain distance it is stretched (thrown) towards infinity. All details and formulas with full calculations will be provided soon.
The light that reaches us from distant stars must pass through space bodies and reach us.
The purpose of light is to return to the source and this is not impossible!
The work of stars of Bernour:
Very briefly: there are three modes.
1- Ineffective stars
2- A star that absorbs light particles that move near it. 1- It absorbs a large number of light particles. 2- Reduces the speed of light particles.
3- A star that repels light particles that move near it. The particle of light hits its environment: 1- It scatters in the form of rainbow waves. 2- Their speed increases.
Shorter waves hit smaller objects and are gradually absorbed by them. As a result, the farther the source is, the bigger and redder the waves reach us.
Note: Our sun absorbs light.
A variety of relationships between stars and between sets of stars with other sets in several articles soon.
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More details:
1- Waves: they make particles.
2- Particles: they make waves
Brief description:
Waves 1: causes the formation of particle 1.
In particle 1, waves 2 are formed.
Waves 2: causes particle 2 to form.
Particle 2 causes waves 3 to form.
Each time the mass of the particle decreases and the number of waves increases, but only the shorter waves affect the particle.
Finally, the mass of the particle becomes zero.
Important note: Neutrino waves are the connection between waves and particles.
At the beginning of creation:
The neutrino wave is zero.
There is a neutrino wave in every zero particle and it is their driving force.
The secret of creation is tied to the secret of neutrino waves.
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It's both.
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Hello,
Schrödinger's equation can be considered as a diffusion equation with a diffusion coefficient β 2 = ℏ / 2 m.
he Schrödinger equation is a linear partial differential equation that governs the wave function of a quantum-mechanical system. Its discovery was a significant landmark in the development of quantum mechanics.
Thanks,
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I am building an energy harvesting circuit.
I want to know the ratio of the power consumed at a load to the incident power from the antenna to the circuit, so that I can evaluate the overall efficiency.
It seems that the transient simulation in ADS only provides the composite of the incident voltage/current wave and the reflected voltage/current wave.
How to measure the power of incident wave in simulations?
Please kindly give me some instructions if you know any answer about the question.
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Hello! Do you solve this problem? I am also confused about this operation.
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We assume that V(x,y,z,t) is the external potential applied to the quantum particle enclosed in a closed system.
What is quite surprising is that there exists another spontaneous component for V which comes from the energy density of the system itself expressed by,
V(x, y, z, t)=Cons U(x, y ,z ,t) . . . . (1)
Eq 1 is a revolutionary breakthrough.
Equation 1 means that quantum energy can be transformed into quantum particles and vice versa.
Additionally, Equation 1 (predicted by the B-matrix chains of the Cairo Statistical Numerical Method) eliminates any confusion about whether the Schrödinger PDE is a wave equation or a diffusion equation and provides a definitive answer:
she could be both.
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Answer II-Continued
The death of critical thinking will kill us long before AI. (Joan Westenberg)
This is just a brief response to shed some light on the question and its answer and to thank our Argentinian friend for his helpful response.
Schrödinger's PDE,
i h dΨ/dt)partial=h^2 . Nabla^2 Ψ/2m + V Ψ . . . . (1)
is precise but incomplete.
Now think about solving SE for Ψ^2 and not Ψ.
Equation 1 transforms to,
dΨ^2/dt)partial=C1. Nabla^2 Ψ/2m + C2 .V . . . . (2)
With the following hypotheses proven numerically,
i-Ψ^2=Ψ . Ψ*
ii-Ψ^2 is exactly equal to the quantum energy density of the quantum particle.
iii-Ψ^2 is exactly equal to the probability of finding the quantum particle in the 4D unit volume element x-t "dx dy dz dt"
iv-Real time t is completely lost and replaced by the dimensionless integer N dt.
Where N is the number of iterations or repetitions and dt is the time jump.
Equation 2 belongs to and is solved by matrix mechanics.
Equation 2 does not need any PDE or FDM method to be solved.
What is quite surprising is that equation 2 is more informative than equation 1.
To be continued.
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Data I have : Significant wave height, Wave period, and beach face slope.
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The deep water wave height Ho' can be computed by dividing the shallow water wave height by the shoaling coefficient and refraction coefficient. An approximation is to use linear wave theory to compute the shoaling coefficient (function of wave period and depth) and use snell's law to compute the refraction coefficient (need wave period, depth and wave approach angle (direction) at the shallow water location. These equations are available on line and in coastal engineering text books.
If your wave is in very shallow water (breaking) the linear shoaling coefficient calculation could be replaced with an empirical or non-linear equation - there are many to chose from - if not comfortable selecting the best method, use several and get a range of results.
The shallow water direction may not be known - typically refraction causes the wave approach angle become smaller with shallower depth. So again you could assume a range of wave approach angles.
I neglected diffraction - you can find diffraction diagrams in coastal engineering text books and manuals.
Many practitioners would prefer to apply a wave transformation model to compute the wave transformations; typically using a 2-dimensional depth averaged computer model. You might check if such a model has already been applied at your location and ask for the wave transformation coefficients and use them.
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It is well known that two coherent optical light-waves are made interfere in LIGO and VIRGO Gravitational Wave (GW) systems (similarly to MMX experiment). The interferometers are configured in such a way that the interference is normally destructive, in order to detect differences from that state in presence of GW.
As a matter of fact, out of two waves generated, normally, nothing is detected after their interaction in the interferometer.
Is it the crystal of the interferometer to thermalize the energy of the EM-waves? Because otherwise if EM-waves disappeared thoroughly without a trace that would violate the conservation laws..
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Where there is destructive interference in one place there is always somewhere where the interference is constructive. Two beams add to give zero power in some places and 4 times power of one beam in other places. The average power is twice the power in one beam. Power is proportional to the number rate of photons (at the same frequency), so the total number of photons remains the same.
With a half silvered mirror (prism face) used as a signal combiner: as well as the signal from beam 1 straight through (x direction to x direction) added to the beam 2 signal reflected (y direction to x direction), you get the other half of both beams which is beam 1 reflected (x direction to y direction) added to beam 2 straight through (y direction to y direction). As the phase between the two beams changes the output power changes between the two directions.
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What we call the brain and talk about is just a storage tank. It acts like an electrical capacitor. In my calculations, the soul is a necessity, otherwise the elements of existence collide. Spirit is the coordinator.
Why did I use the word soul? Reasons 1- It happens only at the moment of collision. It happens in time equal to zero. 2- In that short moment, waves or forces take another form. The soul is the moment of change.
3- It is not organized. It is neither cause nor effect. It is in the zero zone. It is exactly between cause and effect. At the point of change from cause to effect.
4- As soon as the cause is stopped, it is stopped.
If physicists enter this field without fear of losing credibility, there will be no room left for superstitions and profiteers, and religious people will not dare to speak decisively about the soul.
I have no credit, everything I have is the result of your efforts. I just used your knowledge
General result: order of formation of organisms 1- Heart: inner core. 2- Soul: connection between heart and parts. 3- Brain capacitor: outer core and other components: star environment. Note: Inside the heart: there is a soul and an independent capacitor of the brain. I will prove it so far
All creatures are made of the same formula.creatures are made of different particles. Particles are made of atoms. And the formation of the nucleus of atoms is similar.
The best analogy for the brain is lightning.
Lightning is a type of electrical discharge that is caused by the transfer of static electricity between two clouds or between the cloud and the ground. And it is the electrical discharge that produces the intense light and sound.
In the brain: the impact of incoming and outgoing waves can be felt at any moment by creating heat and other currents. And after some time this effect disappears. And many of them are stored in something like a capacitor in the brain.
The set of components of the brain capacitor = the set of components of the outer core of the star.
Cranial brain: the layer is located on the outer nucleus.
Spirit: In the place inside the outer core where the internal waves and the outgoing waves interact, lines like lightning are created, which is called the spirit. These scattered lines appear and disappear at any moment and everywhere.
As a result, the average mass of the soul is zero.
Spirits (lightning lines) leave traces in the outer core environment. And the accumulation of those effects causes the brain capacitor to be built in the outer core.
Brain capacitor: It is the place to store the works of the soul.
Duties of the brain capacitor: 1- Collecting information: the effect of lightning lines is stored. If its capacity is full, older data or works will be compressed. The older it is, the higher the compression.
2- Production of awareness
3- Spiritual management
Important note:
Fantasy or reality Yaarzo!:
In each brain capacitor there is a black box that cannot be destroyed by stars or humans. This black box is held by the waves of the mother and grandmother stars.
After the destruction of the star, the main wave in the black box moves towards the parent star. This primordial wave is like a newborn fetus, but all his consciousness is preserved even after destruction.
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The best analogy for the brain is lightning.
Lightning is a type of electrical discharge that is caused by the transfer of static electricity between two clouds or between the cloud and the ground. And it is the electrical discharge that produces the intense light and sound.
As a result: the brain has no mass. The brain has effects that occur somewhere in the stars or humans. Inside that place: the impact of incoming and outgoing waves can be felt at any moment by creating heat and other currents. And after some time this effect disappears. And many of them are stored in something like a capacitor in the brain.
The brain capacitor evolves and gradually controls the brain lightning.
A simpler definition: consciousness is random. When combined with experience, science is born.
The greater the capacity of the brain, the greater the thought.
I didn't think about this before. I am sending these answers at the same time as thinking.
I have a strong support for the answer.
My Support: This is my new and different atomic model.
which is stored in the capacitor of my brain.
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Dear Friends,
Can you see the waveforms?
  1. If we use PWM generation with a sine wave and a triangular wave ranging from 0 to 1
  2. If we use PWM generation with a sine wave and a triangular wave ranging from -1 to 1
Are both the same or different?
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The frequency difference between square wave voltage and sine wave voltage should be larger. Smooth the PWM with a low pass filter and you will see..
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What is full wave simulation in antenna ? How to simulate in CST Studio software? Can anybody explain.
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A full wave simulation calculates the result of applying Maxwell's equations to the materials and shapes that have been modelled, when excited by the electromagnetic signal that is specified, such as a plane wave or a wave in a transmission line.
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The diffraction of light has been referred to as its wave quality since it seemed there was no other solution to describe that phenomenon as its particle quality and subsequently, it exhibited wave-particle duality.
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Respected Farhad Vedad
I do agree with You, Your insightful response highlights the necessity of considering space as a complex, dynamic entity rather than a simple, homogeneous medium. By recognizing that space can have varying refractive indices and properties as described by relativity, we understand that photons and electrons may interact with their environment in unique ways, influencing their diffraction and behavior. This perspective challenges the traditional wave-particle duality and underscores the importance of environmental context in studying physical phenomena. Just as in social sciences, where individual behavior is shaped by surroundings, particle behavior is also deeply influenced by the structure of space, encouraging a more holistic and integrated approach to understanding the natural world.
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As per ASTM D4428M-14 and IS 13372 (Part 2): 1992 (RA2001), the Modulus of shear, bulk, and elasticity can be calculated directly from Vp and Vs. How can I calculate specific moduli such as the tangent shear modulus, rotational shear modulus, modulus reduction, constrained modulus, and secant modulus based on the cross-hole seismic test (based on the velocity of P and S waves & Poisson's ratio)?
Please share your thoughts and literature on the above-stated-problem.
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Thanks, Mario Emilio Sigismondi for sharing the information on the topic.
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Currently going through impact hammer test of cantilever beam(200mmx20mmx2mm) which is made of particulate composite(Epoxy/PZT/CB). Hammer sensitivity is 2.25mV/N and accelerometer sensitivity is 100mV/g. I'm trying my best to hit the same spot without skewing to get the average value in order to find driving point. Here are some problems I've been facing.
1. Shrinking magnitude at FRF
Let's say I attached the sensor at point A and hit the opposite side. I got pretty neat 2 sharp peaks with antiresonance placed between them. When I hit the same spot again, the 2nd mode peak of FRF dropped down to 0 which become barely visible peak. Same thing happend when I hit several more time. Can I say it's because of nonlinear result due to micro cracks and voids inside the beam? (I checked many voids by SEM image)
2. Phase
If I check the degree change from 60 to -120, then is it ok to assume resonance there? And does 360 degree changing and density of phase graph doesn't have any meaning at all? Lastly, does the 180 degree phase decrement going through long range of frequency mean high damping?
3. Coherence
I know the best result of coherence is mostly at 1 with slight drops at antiresonance points. In my case, the coherence is showing a noisy wave shape or like a thick dense phase graph. I've been trying to hit the same spot as uniformly I can. What is the cause of this result?
Thank you.
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Some things to check:
How does coherence look like? If close to 1, then there is a nearly linear relation between input an output, if closer to 0 then maybe something wrong with your measurement setup (bad SNR?) since
SNR = gamma²/(1-gamma²), with gamma being the coherence.
Bad SNR can be due to the fact that the eigenmode (at a certain eigenfrequency) is not "excitable", i.e. you hit it at a node, not at a point of maximum amplitude, or your acceleration sensor has bad "observation", i.e. it likewise sits at a node of this mode and not at a point of maximum amplitude.
You might also want to check the APS (Autopowerspectrum) of the hammer pulse. Depending on the hammer tip you are using, you will be able to excite a different distribution of energy, i.e. more energy at lower frequencies for low stiffness tips (like rubber) or higher energy at higher frequencies for higher stiffness tips (like hard resin or metal). The shape of the APS of the hammer pulse will show you the details.
Regarding windowing you should also be careful to choose rectangular or exponential for the hammer pulse (and the response). Do not use Hanning or Hamming windows, since they will "fade-in and out" the time signal and you loose too much energy of the hammer pulse (which sits at the start of the window).
There are some good commercial programs available like Head Acoustics Artemis, LMS, etc. that support you in doing it right.
Hope this helps (or is it all known?)
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Hi everybody. I irradiate a biological object with a plane wave, when displaying a graph of the power loss density, distortions appear in the slice (blue areas), but there are no such distortions at the edges of the biological object. When I output SAR using this loss monitor, there is no such distortion. How can this be explained and corrected? Thank you very much for your time.
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I don't expect you can get rid of them. The SAR is averaged over a volume you choose, which smooths out the variation in the power loss density, which is probably one value at every mesh point. You could try averaging this in post processing to smooth it out.
I expect if you reduce the averaging volume for the SAR plot enough, then it will have the same variations as the power loss density.
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Hello everyone. I need a wave cahnnel for offshore wind turbine design. Can hydraulics experts help me in designing the wave channel with quotations links?
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thanks you sir Steftcho P. Dokov. but the querry is that if we provided 0.8 meter width and 1 meter deep, will it make wave ?
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I am doing a literature review on acoustic properties of layered media and I am struggling to find articles, resources etc to add to the review. Does anyone know of any seminal papers in this field that I should be reviewing?
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We assume that the answer to the question of whether the quantum wave function Ψ is a scalar, a vector or not is that it is none of these.
Ψ is an abstract mathematical operator that has no physical meaning in itself.
The currently accepted procedure for describing Ψ in a given isolated quantum system is to construct the time-dependent Schrödinger SE equation for that particular system and then solve it by the method of separation of variables.
The importance of Ψ is that it conveys the phase of the system in x-t space and therefore can explain its wave properties such as interference, diffraction, degeneracy, etc.
We propose a simple alternative to solve for Ψ^2 (and not Ψ itself) which has a physical meaning of quantum particle energy per unit volume (or probability of finding the particle in unit volume of space unified x-t), then in a final solution last step to find Ψ as the square root of Ψ^2.
It is clear that the proposed technique completely neglects SE as if it never existed and proceeds to solve the Ψ^2 quantum system via a well-established probability diffusion equation.
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I will follow a book on Quantum Mechanics, that I like very much to try an answer to your thread :
Lectures On Quantum Mechanics by Prof. G. Baym, W.A. Benjamin, Inc., New York, 1969.
Chapter three gives a simplified but practical concept of a wave function as a complex function Ψ(r, t) that gives the probability of finding a particle at point r and time t.
It complements by saying that is the module | Ψ(r, t) |2 d3r in the volume d3r that gives such a probability (page 46, chapter 3).
We can complement for example by defining the space used in non-relativistic quantum mechanics, as the configuration space (see for example, Prof. A. Davydov book on Quantum Mechanics).
The same wave function is found in the Ginsburg-Landau theory, but in a nonlinear equation.
What I like the most is that Ψ(r, t) in a quasi-classical context contains a damping term.
Best Regards.
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I know I'm crossing a minefield in investigating this question.
There are at least two incompatible theories:
classical EM theory, where wave energy is continuous and
QM quantum theory, where the energy of EM waves is essentially discrete or quantized in photons.
So it depends on the theory we use to analyze this problem, not on the frequency of the wave.
If we follow QM theory, the answer is definitely no because the photon must have a positive momentum and therefore a positive frequency.
On the other hand, if we follow the classical theory of electromagnetic fields, the answer is yes but the photon itself is not defined.
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Dear friend Ismail Abbas
Alright, let's break this down.
If the frequency of electromagnetic waves (EMW) practically hit zero, you'd Ismail Abbas enter tricky territory. It's like navigating a minefield, with each step needing careful consideration.
Here's the deal:
1. **Classical EM Theory**: In this theory, wave energy flows continuously. So, if the frequency approaches zero, the energy remains continuous. However, this doesn't automatically make the energy of the photon continuous.
2. **Quantum Mechanics (QM)**: Now, in the quantum world, things get quantized. Energy is discrete, split into packets called photons. According to QM, even if the frequency is near zero, the energy of the photon remains quantized.
So, it boils down to which theory you're Ismail Abbas using.
- If we're rolling with QM, the answer is a solid no. Photons need positive momentum, which means they need positive frequency.
- But in the classical EM world, the answer could be yes, yet it's a bit tricky. The wave energy could become continuous, but the photon itself isn't precisely defined.
So, in the end, it's all about which lens you're Ismail Abbas looking through. Both theories have their quirks, and they don't always agree. Welcome to the wonderful world of physics, where the deeper you Ismail Abbas go, the weirder it gets!
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The instrument provided data of the IR spectrum is in %T vs wave number. But the peak is in the 3600 to 2600 cm-1 shows more than 100% transmittance. What are the probable reasons behind it? How can I solve it? The IR was done in ATR. Thank you.
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There was an OH, small aliphatic ch3, ch2 and water vapour in your background spectrum not present in your sample spectrum. This suggest the equipment wasn’t clean when you ran your background
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We have elastic scattering excitation function data in tabular form and want to obtain partial wave scattering phase shift data for each partial wave say l=0, 1, 2....whats the process to do so and is their any code available to do so
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Dear Prof. Anil Khachi
Could you be more specific, for example the function that you call "excitation function data" is complex?
There are several cases if the elastic scattering is nonrelativistic. See for example: Landau and Lifshitz Vol. 3 Quantum Mechanics, non relativistic theory, chapter VII. Pergamon 1965.
Best Regards.
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I tested DNA structure (5uM dissolved in 50 mM Tris) using JASCO-1500 but found no peak at wavelength 220-350. The results look like a wave shape throughout the wavelength...
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Thank you for answering. There are two reasons, one is the low concentration, and another is the set of digital integration time (DIT). I increased the concentration to20 uM and DID to 1 s (was 1 msec). Problem solved.
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I am writing a project on electronic structure with a molecular approach and a surface approach (plane waves). I have knowledge of the molecular part, but I am having difficulties describing the project for plane waves. I intend to use Gaussian for molecular structure and Quantum Espresso for plane waves.
I have the methodology for the molecular part and would like to know how to describe the same items for plane waves. Could someone please help me?
Below, I am placing the methodology for the molecular part:
Construction of systems and structural studies Reactivity index calculations (for the molecular part, Condensed Fukui Indices to Atoms are used) Reactivity index calculations (plane waves ???)
Opto-electronic properties (for the molecular area TD-DFT)
In particular, the aim is to evaluate data associated with the energy and spatial distribution of frontier orbitals, local and global density of states, reactivity indices, optical properties of the materials composing the chemical species, in order to establish simple rules for the preparation of materials with optimized properties.
Adsorption study
It is intended to evaluate adsorption processes of chemical species and reactions with the systems of interest through two different approaches: i) calculations of molecular electronic structure and ii) calculations of surface electronic structure.
Calculations of electronic structure Optimization of geometry of adsorbed systems will be performed in a DFT (and/or Hartree-Fock) approach with Grimme corrections to better describe interactions between unbound systems.
And how does the calculation of electronic structure for the surface work?
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