The Hydrogen-Atom Spectrum
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Discrete-Continuous and Classical-Quantum
Under consideration for publication in Math. Struct. in Comp. Science Discrete-continuous and classical-quantum T. Paul C.N.R.S., D.M.A., Ecole Normale Sup´erieure Received 21 November 2006 Abstract A discussion concerning the opposition between discretness and continuum in quantum mechanics is presented. In particular this duality is shown to be present not only in the early days of the theory, but remains actual, featuring different aspects of discretization. In particular discreteness of quantum mechanics is a key-stone for quantum information and quantum computation. A conclusion involving a concept of completeness linking dis- creteness and continuum is proposed. 1. Discrete-continuous in the old quantum theory Discretness is obviously a fundamental aspect of Quantum Mechanics. When you send white light, that is a continuous spectrum of colors, on a mono-atomic gas, you get back precise line spectra and only Quantum Mechanics can explain this phenomenon. In fact the birth of quantum physics involves more discretization than discretness : in the famous Max Planck’s paper of 1900, and even more explicitly in the 1905 paper by Einstein about the photo-electric effect, what is really done is what a computer does: an integral is replaced by a discrete sum. And the discretization length is given by the Planck’s constant. This idea will be later on applied by Niels Bohr during the years 1910’s to the atomic model. Already one has to notice that during that time another form of discretization had appeared : the atomic model. It is astonishing to notice how long it took to accept the atomic hypothesis (Perrin 1905). -
A 2-Ghz Discrete-Spectrum Waveband-Division Microscopic Imaging System
Optics Communications 338 (2015) 22–26 Contents lists available at ScienceDirect Optics Communications journal homepage: www.elsevier.com/locate/optcom A 2-GHz discrete-spectrum waveband-division microscopic imaging system Fangjian Xing, Hongwei Chen n, Cheng Lei, Minghua Chen, Sigang Yang, Shizhong Xie Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Electronic Engineering, Tsinghua University, Beijing 100084, P.R. China article info abstract Article history: Limited by dispersion-induced pulse overlap, the frame rate of serial time-encoded amplified microscopy Received 26 June 2014 is confined to the megahertz range. Replacing the ultra-short mode-locked pulse laser by a multi-wa- Received in revised form velength source, based on waveband-division technique, a serial time stretch microscopic imaging sys- 1 September 2014 tem with a line scan rate of in the gigahertz range is proposed and experimentally demonstrated. In this Accepted 4 September 2014 study, we present a surface scanning imaging system with a record line scan rate of 2 GHz and 15 pixels. Available online 22 October 2014 Using a rectangular spectrum and a sufficiently large wavelength spacing for waveband-division, the Keywords: resulting 2D image is achieved with good quality. Such a superfast imaging system increases the single- Real-time imaging shot temporal resolution towards the sub-nanosecond regime. Ultrafast & 2014 Elsevier B.V. All rights reserved. Discrete spectrum Wavelength-to-space-to-time mapping GHz imaging 1. Introduction elements with a broadband mode-locked laser to achieve ultrafast single pixel imaging. An important feature of STEAM is the spec- Most of the current research in optical microscopic imaging trum of the broadband laser source. -
Lighting Effects Guide Desired One Color to Another
RANDOM COLOR CONTROL SPEED EXAMPLE OF COLOR WASH EFFECT SWITCH# 7 8 9 In Color Wash, Speed is defined as the amount of time which External Control Speed of 20 seconds, full saturation, full brightness, in a clock- The Random Color effect produces a randomly generated set 0 No blue elapses between the initial display of the starting color in cycle wise direction (ROYGBIV) of colors at user-definable speeds. Colors step in discrete If you are using a Color Kinetics controller or DMX512 con- 1 Lightest blue I 2 A little more I one (red in ROYGBIV, or violet in VIBGYOR), and its next dis- increments from one hue to the next. troller to control your Color Kinetics lights, you need to set 3 A bit more II play which begins cycle two. There are 64 different speeds each light to external control mode, (switches 10, 11, and 12) 4 Still more I CHOOSE THE EFFECT: RANDOM COLOR 10 11 12 5 Even more II which can be set in the Color Wash effect, ranging from as COLOR Switches #10 and 11: OFF ON and then set the DMX address for each light (switches 1–9). 6 More intense II fast as .5 seconds to as long as 2 hours to complete a single 7 Most intense III Switch #12: ON OFF For details about external control, skip directly to the External cycle. Switches #1-6 control the speed options. For the fastest Control section, on the other side of this sheet. With additive color mixing, you can mix reds, greens and speed (.5 sec.), all switches between #1-6 are OFF. -
Improving Frequency Resolution of Discrete Spectra
AGH University of Science and Technology, Kraków, Poland Faculty of Electrical Engineering, Automatics, Computer Science and Electronics Marek GĄSIOR Improving Frequency Resolution of Discrete Spectra A doctoral dissertation done under guidance of Professor Mariusz ZIÓŁKO Kraków 2006 - II - Marek Gąsior, Improving frequency resolution of discrete spectra Akademia Górniczo-Hutnicza w Krakowie Wydział Elektrotechniki, Automatyki, Informatyki i Elektroniki Marek GĄSIOR Poprawa rozdzielczości częstotliwościowej widm dyskretnych Rozprawa doktorska wykonana pod kierunkiem prof. dra hab. inż. Mariusza ZIÓŁKO Kraków 2006 Marek Gąsior, Improving frequency resolution of discrete spectra - III - - IV - Marek Gąsior, Improving frequency resolution of discrete spectra To my Parents Moim Rodzicom Acknowledgements I would like to thank all those who influenced this work. They were in particular the Promotor, Professor Mariusz Ziółko, who also triggered my interest in digital signal processing already during mastership studies; my CERN colleagues, especially Jeroen Belleman and José Luis González, from whose experience I profited so much. I am also indebted to Jean Pierre Potier, Uli Raich and Rhodri Jones for supporting these studies. Separately I would like to thank my wife Agata for her patience, understanding and sacrifice without which this work would never have been done, as well as my parents, Krystyna and Jan, for my education. To them I dedicate this doctoral dissertation. Podziękowania Pragnę podziękować wszystkim, którzy mieli wpływ na kształt niniejszej pracy. W szczególności byli to Promotor, Pan profesor Mariusz Ziółko, który także zaszczepił u mnie zainteresowanie cyfrowym przetwarzaniem sygnałów jeszcze w czasie studiów magisterskich; moi koledzy z CERNu, przede wszystkim Jeroen Belleman i José Luis González, z których doświadczenia skorzystałem tak wiele. -
Wave Mechanics (PDF)
WAVE MECHANICS B. Zwiebach September 13, 2013 Contents 1 The Schr¨odinger equation 1 2 Stationary Solutions 4 3 Properties of energy eigenstates in one dimension 10 4 The nature of the spectrum 12 5 Variational Principle 18 6 Position and momentum 22 1 The Schr¨odinger equation In classical mechanics the motion of a particle is usually described using the time-dependent position ix(t) as the dynamical variable. In wave mechanics the dynamical variable is a wave- function. This wavefunction depends on position and on time and it is a complex number – it belongs to the complex numbers C (we denote the real numbers by R). When all three dimensions of space are relevant we write the wavefunction as Ψ(ix, t) C . (1.1) ∈ When only one spatial dimension is relevant we write it as Ψ(x, t) C. The wavefunction ∈ satisfies the Schr¨odinger equation. For one-dimensional space we write ∂Ψ 2 ∂2 i (x, t) = + V (x, t) Ψ(x, t) . (1.2) ∂t −2m ∂x2 This is the equation for a (non-relativistic) particle of mass m moving along the x axis while acted by the potential V (x, t) R. It is clear from this equation that the wavefunction must ∈ be complex: if it were real, the right-hand side of (1.2) would be real while the left-hand side would be imaginary, due to the explicit factor of i. Let us make two important remarks: 1 1. The Schr¨odinger equation is a first order differential equation in time. This means that if we prescribe the wavefunction Ψ(x, t0) for all of space at an arbitrary initial time t0, the wavefunction is determined for all times. -
Color: Intro • to Create Image, Need 3 Things: 1. Object 2. Light 3. Viewer
Color: Intro • To create image, need 3 things: 1. Object 2. Light 3. Viewer • Same thing is true for color { Color of object depends on "natural" color (under white light) and color of light { Color perceived depends on viewer ∗ 2 viewers observing same object under same conditions may perceive different color • Major topics to be discussed: { Nature of light and color { The eye and color perception { Color models 1 Color: Basics • Color attributes { Hue - basic color { Saturation - purity of a color ∗ How much white is mixed with a pure color { Lightness (brightness) - intensity ∗ Lightness pertains to reflected color ∗ Brightness pertains to emitted color • Artists' terminology { These relate to pure pigments (pure colors) { Tint ∗ Result of adding white to pigment ∗ Reduces saturation { Shade ∗ Result of adding black to pigment ∗ Reduces lightness { Tone ∗ Result of adding white and black to pigment • Both terminologies widely used { Both are subjective • Want objective system for describing color 2 Color: Primaries • Represent using color wheel • Additive primaries { Apply to colors of light { Primaries: RGB { Secondaries: CMY { Max combination of 3 primaries: white { Absence of primaries: black { Called additive because as add more primaries, are contributing more colors to the light ∗ i.e., the more wavelengths are represented • Subtractive { Apply to colors of pigments { Primaries: CMY { Secondaries: RGB { Max combination of 3 primaries: black { Absence of primaries: white** { Called subtractive because as add more primaries, are -
I Am Fascinated by the Phenomenon of Color, And, More Specifically, How Individuals Perceive It Differently
I am fascinated by the phenomenon of color, and, more specifically, how individuals perceive it differently. For the colorblind, color is merely various shades of grey with designated titles. To Synesthetes, color manifests as an association with words, letters, and sounds. This research led me to three-dimensional zoetropes, which animate stationary objects as you watch. This concept - what you think you see is not truly what you will see - fascinated me. The PVC pipes easily flow together, with only their interiors painted to represent how they may look different depending on what you choose to focus on, or what angle you are standing at. The figures sit on a wooden board moved by a turntable, proving the relativity of not only perception vs. reality, but of my perception vs. yours. We often rely too heavily on our observations, which are not fact. The zoetrope suggests that we may need to change the homogenous way we think about color. Increasingly, I found that color was less of a fact and more of an experience. Alexandra L. When we look at a rainbow, do we all see the same colors? No, because when humans look at it we see Red, Orange, Yellow, Green, Blue, Indigo, Violet. But when colorblind people look at the rainbow, they see varying shades of gray that they’ve learned to assign ROYGBIV to. When a dog looks at a rainbow they only see green and blue. And when a mantis shrimp looks at it, they can see colors we don’t even have names for. This concept that we don’t see the “same” colors proves that my blue might be a pale variant of your blue, or might not even be blue at all but actually red, but I’ve learned that everyone else calls it “blue”. -
On the Discrete Spectrum of Exterior Elliptic Problems by Rajan Puri A
On the discrete spectrum of exterior elliptic problems by Rajan Puri A dissertation submitted to the faculty of The University of North Carolina at Charlotte in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Applied Mathematics Charlotte 2019 Approved by: Dr. Boris Vainberg Dr. Stanislav Molchanov Dr. Yuri Godin Dr. Hwan C. Lin ii c 2019 Rajan Puri ALL RIGHTS RESERVED iii ABSTRACT RAJAN PURI. On the discrete spectrum of exterior elliptic problems. (Under the direction of Dr. BORIS VAINBERG) In this dissertation, we present three new results in the exterior elliptic problems with the variable coefficients that describe the process in inhomogeneous media in the presence of obstacles. These results concern perturbations of the operator H0 = −div((a(x)r) in an exterior domain with a Dirichlet, Neumann, or FKW boundary condition. We study the critical value βcr of the coupling constant (the coefficient at the potential) that separates operators with a discrete spectrum and those without it. −1 2 ˚2 Our main technical tool of the study is the resolvent operator (H0 − λ) : L ! H near point λ = 0: The dependence of βcr on the boundary condition and on the distance between the boundary and the support of the potential is described. The discrete spectrum of a non-symmetric operator with the FKW boundary condition (that appears in diffusion processes with traps) is also investigated. iv ACKNOWLEDGEMENTS It is hard to even begin to acknowledge all those who influenced me personally and professionally starting from the very beginning of my education. First and foremost I want to thank my advisor, Professor Dr. -
Schr¨Odinger Operators with Purely Discrete Spectrum 1
Methods of Functional Analysis and Topology Vol. 15 (2009), no. 1, pp. 61–66 SCHROD¨ INGER OPERATORS WITH PURELY DISCRETE SPECTRUM BARRY SIMON DedicatedtoA.Ya.Povzner Abstract. We prove that −∆+V has purely discrete spectrum if V ≥ 0 and, for all M, |{x | V (x) <M}| < ∞ and various extensions. 1. Introduction Our main goal in this note is to explore one aspect of the study of Schrod¨ inger operators (1.1) H = −∆+V 1 Rν which we will suppose have V ’s which are nonnegative and in Lloc( ), in which case (see, e.g., Simon [15]) H can be defined as a form sum. We are interested here in criteria under which H has purely discrete spectrum, that is, σess(H)isempty. Thisiswellknownto be equivalent to proving (H +1)−1 or e−sH for any (and so all) s>0 is compact (see [9, Thm. XIII.16]). One of the most celebrated elementary results on Schr¨odinger operators is that this is true if (1.2) lim V (x)=∞. |x|→∞ But (1.2) is not necessary. Simple examples where (1.2) fails but H still has compact resolvent were noted first by Rellich [10]—one of the most celebrated examples is in ν =2,x =(x1,x2), and 2 2 (1.3) V (x1,x2)=x1x2 where (1.2) fails in a neighborhood of the axes. For proof of this and discussions of eigenvalue asymptotics, see [11, 16, 17, 20, 21]. There are known necessary and sufficient conditions on V for discrete spectrum in terms of capacities of certain sets (see, e.g., Maz’ya [6]), but the criteria are not always so easy to check. -
Holding a Rainbow in Your Hand Modeling the Electromagnetic Spectrum
Holding a Rainbow in Your Hand Modeling the Electromagnetic Spectrum Students can quickly and easily construct this paper model that illustrates the electromagnetic spectrum, with visible and invisible components. Topics: Light, Waves, Electromagnetic Spectrum Materials List 2.5 cm (1”) Strips of construction paper in the following colors: Red, Orange, Yellow, Green, Blue, Indigo (dark blue), Violet 2.5 cm (1”) Strips To Do and Notice of clear material 1. Gather 6 clear strips and one strip each of red, orange, yellow, green, blue, indigo, (i.e. - scrap violet. laminate) 2. Accordion-fold the paper strips so that the distance between creases represents Permanent marker the differences in wavelength – red has the longest wavelength and violet has the Stapler shortest. 3. Label clear strips as follows: Radio & TV; Microwave; Infrared; Ultraviolet; X- rays; Gamma rays. 4. Assemble the spectrum model by stapling the strips together at both ends in the following order: Radio & TV; Microwave; Infrared; Red; Orange; Yellow; Green; Blue; Indigo; Violet; Ultraviolet; X-rays; Gamma rays. (Note: this model This Activity can be used is not to scale. Visible light (rainbow colors) is actually a very small band in the to teach: Waves: Amplitude, whole electromagnetic spectrum. See chart above.) wavelength, energy Note: This model allows for easy viewing by either frequency or wavelength. (Next Generation Science Standards: Viewing lowest to highest frequency illustrates the common mnemonic for the colors Grade 4, Physical of the rainbow: ROYGBIV. Science 4-1; Middle School, Physical The Science Behind the Activity Science 4-1) Electromagnetic radiation, or “light”, is a form of energy. -
5.4.5 Relation Between the Continuous Spectrum and the Discrete Spectrum
Solution: Recognizing the integrand as [ sinc (x)] 2, which is related to the Fourier transform of the gate function W (t), we think of using Parseval’s formula. 1 Choose a = 2 in (5.91): 1 F W ( 2 t) = 2 sinc (ω). Thus, by Parseval’s formula: $ ∞ ∞ 1 2 [2 sinc (ω)] 2dω = W 1 t dt. (5.98) 2π Z Z 2 −∞ −∞ $ On noting that 1 1 if |t| < 1 W t = 2 $ 0 if |t| > 1 we obtain ∞ 1 1 2 W 2 t dt = (1) dt = 2 . Z Z 1 −∞ $ − Thus (5.98) leads to ∞ [sinc (ω)] 2dω = π. Z−∞ Exercise 5.15: Use the Fourier transform 2 F(e−| t|) = 1 + ω2 to show that ∞ 1 π 2 2 dx = . Z−∞ (1 + x ) 2 5.4.5 Relation between the continuous spectrum and the discrete spectrum A τ-periodic signal f(t) has a discrete Fourier spectrum determined by the complex Fourier coefficients {cn}n∈Z, with discrete frequencies nω 0, where ω0 = 2 π/τ is the fundamental frequency (see Figure 5.11). A non-periodic finite-energy signal f(t) has a continuous Fourier spectrum determined by the complex Fourier transform F (ω), where the frequency ω assumes all real values (see figures 5.21 and 5.23). In this section we show that there is a simple relation between the discrete spectrum and the continuous spectrum. For fixed τ > 0 consider a signal f(t) that is non-zero only on a subinterval of the interval τ τ − 2 ≤ t ≤ 2 (see Figure 5.25 a)). -
Study of the Discrete-To-Continuum Transition in a Balmer
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by DSpace@MIT PFC/JA-97-26 Study of the discrete-to-continuum transition in a Balmer sp ectrum from Alcator C-Mo d divertor plasmas A. Yu. Pigarov y,J.L.Terry and B. Lipschultz Decemb er 1997 Plasma Science and Fusion Center, Massachusetts Institute of Technology, Cambridge, MA 02139, U.S.A. This work is supp orted by the U.S. Department of Energy under the contract DE-AC02-78ET51013 and under the grant DE-FG02-910ER-54109. y also at College of William and Mary, Williamsburg, VA, USA. Perma- nent address: RRC Kurchatov Institute, Moscow, Russian Federation. 1 Abstract Under detached plasma conditions in Alcator C-Mo d tokamak, the mea- sured sp ectra show pronounced merging of Balmer series lines and a photo- recombination continuum edge which is not a sharp step. This phenomenon, known as a smooth discrete-to-continuum transition, is typical only for high 21 3 density>10 m low temp erature T 1 eV recombining plasmas. e A theoretical mo del capable of treating this kind of sp ectra has b een de- velop ed as an extension of the CRAMD co de. It is comprised of three parts: i a collisional-radiative mo del for p opulation densities of excited states, ii atomic structure and collision rates for an atom a ected by statistical plasma micro elds, and iii a mo del for calculating the line pro les and the extended photo-recombination continuum. The e ects of statistical plasma micro elds on the p opulation densities of excited states, on the pro les of Balmer series lines, and on the photo- recombination continuum edge will b e discussed.