(Bessel-)weighted asymmetries

Størrelse: px
Begynne med side:

Download "(Bessel-)weighted asymmetries"

Transkript

1 QCD Evolution Workshop, Jefferson Lab (Bessel-)weighted asymmetries Bernhard Musch (Jefferson Lab) presenting work in collaboration with Daniël Boer (University of Groningen), Leonard Gamberg (Penn State University-Berks), Alexei Prokudin (JLab), Philipp Hägler (Johannes Gutenberg-Universität Mainz), John Negele (MIT), Andreas Schäfer (Univ. Regensburg)

2 Part I (Bessel-) Weighted Asymmetries in Semi-Inclusive Deep Inelastic Scattering (SIDIS)

3 Semi-inclusive Deep Inelastic Scattering (SIDIS) 3 }{{} l + N(P ) }{{} lepton nucleon S? Á S l + h(p h ) }{{} hadron P h? + X }{{} rest P h Á h () P l' P l q P x B = q2 2P q x x B : longitudinal momentum fraction of the struck quark in the nucleon z h = P P h P q z z h : longitudinal momentum fraction deposited in the measured hadron

4 Semi-inclusive Deep Inelastic Scattering 4 lepton hadron P h photon quark p gluons TMD FFs fragmentation functions P nucleon TMDs transverse momentum dependent parton distribution functions P

5 SIDIS cross section, see, e.g., [Bacchetta et al. JHEP (2007)] 5 dσ { dx B dz h dφ S dφ h dph 2 dy α2 x B Q 2 F UU,T + S sin(φ h φ S )F sin(φ h φ S ) UT,T } + 6 further sturctures F sin(φ h φ S ) UT,T = x B H sin(φ h φ S ) UT,T (Q 2 ) e 2 a a d 2 p T d 2 K T d 2 l T δ (2)( ) zp T + K T + l T P h p T cos(φ h φ p ) M f a T (x, p 2 T ) }{{} TMD S(l 2 T ) }{{} softf. D a (z, K 2 T ) }{{} FF 3 non-perturbative ingredients: TMD: momentum distribution of quarks in nucleon TMD FF: fragmentation function soft factor S (soft gluons), (absorbed into TMD/FF in [Aybat, Rogers (20)][Collins tbp])

6 What s a weighted asymmetry? 6 weighted asymmetry for general weights w 0, (φ h, P h ) d P A w h dφ h dφ S w (φ h, P h ) dσ = 2 d P h dφ h dφ S w 0 (φ h, P h ) dσ polarized, dσ dσ unpolarized, dσ + dσ traditional weighed asymmetry: w 0 =, w sin(nφ h +...) P h n e.g., A P h zm sin(φ h φ s) UT = 2 where f (n) (x) d 2 p T a e2 a f ()a T (x) D a(0) (z) (z), a e2 a f a(0) (x) D a(0) ( ) p 2 n T 2M 2 f(x, p 2 T ) [Kotzinian, Mulders PLB (997)] [Boer, Mulders PRD (998)] generalized to Bessel weights: w 0, sin(nφ h +...) J n ( P h B T ) 2J ( P h B T ) zmb sin(φ h φ A T s) a UT = 2 e2 a now f, f () T a e2 a f ()a T (x, z 2 BT 2 (0)a f (x, z 2 BT 2 ) D (0)a (z, B 2 T ) ) D (0)a (z, B 2 T ), and D are Fourier-transforms of TMDs/FFs (see later).

7 Why weighted asymmetries? 7 advantages deconvolution : simple products instead of convolutions of TMDs and FFs soft factor S cancels Problem: The p T -moments f (0), f (),... are ill-defined. T example: f (x, p 2 T ) /p2 T for large p2 [Bacchetta et al. JHEP T (2008)]. f (0) (x) d 2 p T f(x, p 2 T ) undefined without regularization Why Bessel-weights? natural generalization naturally more sensitive to low P h circumvent the problem of ill-defined p T -moments

8 warm-up: Fourier decomposition in polar coord. 8 d 2 b T (2π) 2 e ip T b T f(b T ) d bt 2π = 2π b T = n= 0 dφ b 2π e i p T b T cos(φ p φ b ) n= e inφp d bt 2π b T ( i) n J n ( p T b T ) f n ( b T ) e inφ b f n ( b T ) J n (x) : Bessel function J n p T b T J 0 J 2Π p T

9 Fourier-transformed TMDs (and FFs) 9 definition f(x, b 2 T ) d 2 p T e ib T p T f(x, p 2 T ) = 2π d p T p T J 0 ( b T p T ) f(x, p 2 T ) 0 ( f (n) (x, b 2 T ) n! 2 ) n M 2 b 2 T f(x, b 2 T ) = 2πn! ( ) n pt (M 2 ) n d p T p T J n ( b T p b T T ) f(x, p 2 T ) connection to p T -moments f (n) (x, 0) = d 2 p T ( ) p 2 n T 2M 2 f(x, p 2 T ) f (n) (x) At b T = 0, the Fourier-transformed TMDs f (n) (x, b 2 T ) are equivalent to p T -moments of TMDs, and can be UV divergent [Ji,Ma,Yuan PRD (2005)].

10 Rewriting the SIDIS cross section in Fourier space 0 dσ dx B dy dψ dz h dφ h dph 2 where α2 x B Q 2 { d bt (2π) b 2 T S(b T ) + J 0 ( b T P h ) H UU,T (Q 2 (0) ) P[ f D (0) ] + S T sin(φ h φ S ) J ( b T P h ) H sin(φ h φ S ) UT,T (Q 2 () ) P[ f T D (0) ] + ɛ cos(2φ h ) J 2 ( b T P h ) H cos(2φ h) UU (Q 2 ) P[ h () H () ] further structures... + Ỹ }{{} assume small P[ f (n) D(m) ] x B (zm b T ) n (zm h b T ) m a e 2 a f a(n) (x, z 2 b 2 T ) D a(m) (z, b 2 T ). }, similar as in [Idilbi,Ji,Ma,Yuan PRD (2004)]

11 Bessel-weighted asymmetries d P A w h dφ h dφ S w (φ h, P h ) dσ = 2 d P h dφ h dφ S w 0 (φ h, P h ) dσ Choose weights that project onto the desired Fourier-mode, e.g., w 0 = J 0 ( P h B T ), w = J ( P h B T ) zmb T 2 sin(φ h φ S ) use d P h P h J n ( P h b T ) J n ( P h B T ) = δ( b T B T )/B T 2J ( P h B T ) zmb sin(φ h φ A T s) UT = 2 S(B T 2 ) Hsin(φ h φ S ) UT,T (Q 2 ) a e2 a S(B T 2 ) H UU,T (Q 2 ) a e2 a ()a f T (x, z 2 BT 2 (0)a ) D (z, B 2 T ) (0)a f (x, z 2 BT 2 (0)a ) D (z, BT 2 ) accessible window [BT min, Bmax T ] [ P h max, P h resolution ] traditional weighted asymmeties at B T = 0 UV divergences.

12 Bessel-weighted asymmetries 2 d P A w h dφ h dφ S w (φ h, P h ) dσ = 2 d P h dφ h dφ S w 0 (φ h, P h ) dσ Choose weights that project onto the desired Fourier-mode, e.g., w 0 = J 0 ( P h B T ), w = J ( P h B T ) zmb T 2 sin(φ h φ S ) w 0 B T 0 w B T 0 P h /(zm) sin(φ h φ S ) use d P h P h J n ( P h b T ) J n ( P h B T ) = δ( b T B T )/B T 2J ( P h B T ) zmb sin(φ h φ A T s) UT = 2 S(B T 2 ) Hsin(φ h φ S ) UT,T (Q 2 ) a e2 a S(B T 2 ) H UU,T (Q 2 ) a e2 a ()a f T (x, z 2 BT 2 (0)a ) D (z, B 2 T ) (0)a f (x, z 2 BT 2 (0)a ) D (z, BT 2 ) accessible window [BT min, Bmax T ] [ P h max, P h resolution ] traditional weighted asymmeties at B T = 0 UV divergences.

13 Part II Fourier-transformed TMDs at the level of matrix elements

14 The TMD correlator 4 lightcone coordinates w ± = 2 (w 0 ±w 3 ), so w = w +ˆn + + w ˆn + w T ; P + large, P T = 0 Several factorization frameworks have been proposed. Here we choose [Ji,Ma,Yuan PRD (2005)] as an example: Φ [Γ] 2 Φ [Γ] unsubtr. (b, P, S, v, µ) {}}{ d 4 b P, S q(0) Γ U[0, v, v + b, b] q(b) P, S (2π) 4 0 U[0, v, v+b T, b T, b T ṽ, ṽ, 0] 0 } {{ } S(b 2 T, ρ, µ) parametrization in terms of TMDs, example Γ = γ + dp Φ [γ+ ] = f (x, p 2 p + =xp + T ; ˆζ, ρ, µ) ɛ ijp i S j ft (x, p 2 T ; m ˆζ, ρ, µ) N [Ralston, Soper NPB 979], [Mulders, Tangerman NPB 996], [Goeke, Metz, Schlegel PLB 2005] where ˆζ2 (P v)2 (v ṽ)2 P 2 v 2, ρ ˆ= v 2 ṽ 2

15 gauge links 5 U[a, b, c,...] P exp ( ig b a dξµ A µ (ξ) ig ) c b dξµ A µ (ξ) +...? transverse link can be omitted in covariant gauge v? v + b + b T 0 v 0 v }{{}}{{} Φ [Γ] unsubtr. (b, P, S, v, µ) S(b 2 T, ρ, µ) ˆζ 2 (P v)2 (v ṽ)2 P 2 v 2, ρ ˆ= v 2 ṽ 2. v, ṽ lightlike for ˆζ, ρ ζ = 4M 2 ˆζ 2 : Collins-Soper evolution param. [CS NPB (98)] evolution eqns. for large ˆζ, ρ [Idilbi,Ji,Ma,Yuan PRD (2004)] v~ v

16 decomposition: Lorentz-invariant amplitudes 6 as in [Goeke,Metz,Schlegel PLB (2005)] but in Fourier-space 2 [γ Φ µ ] unsubtr. (b, P, S, v, µ) = P, S q(0) γµ U[0, v, v + b, b] q(b) P, S = P µ Ã 2 im 2 b µ Ã 3 imɛ µναβ P ν b α S β Ã 2 + M 2 (v P ) vµ B + M v P ɛµναβ P ν v α S β B7 im 3 v P ɛµναβ b ν v α S β B8 M 3 v P (b S)ɛµναβ P ν b α v β B9 im 3 (v P ) 2 (v S)ɛµναβ P ν b α v β B0 in total 32 amplitudes Ã(±) i (b 2 (±), b P, b v/(v P ), ˆζ), B i (...), denoted (+) for v P > 0 (SIDIS), ( ) for v P < 0 (Drell-Yan) time-reversal even : Ã (+) i = Ã( ) i time-reversal odd : Ã (+) i = Ã( ) i

17 decomposition: Lorentz-invariant amplitudes 7 as in [Goeke,Metz,Schlegel PLB (2005)] but in Fourier-space 2 [γ Φ + ] unsubtr. (b, P, S, v, µ) = P, S q(0) γ+ U[0, v, v + b, b] q(b) P, S + imp + ɛ ij b i S j (Ã2 R(ˆζ) B ) 8 where ( = P + Ã 2 + R(ˆζ) B ) } {{ } Ã 2B } {{ } Ã 2B R(ˆζ) + ˆζ 2, note that lim R(ˆζ) = 0 ˆζ f (x, b 2 T ; ζ, ρ, µ) ( 2 d(b P ) = e ix(b P ) Ã S( b 2 2B b 2 T, µ 2 T, b P,, ρ) (2π) ) (b P )R(ˆζ) M 2, ˆζ, µ f () T (x, b2 T ; ζ, ρ, µ) = 2 S( b 2 T, µ 2, ρ) d(b P ) (2π) e ix(b P ) Ã 2B ( b 2 T, b P, ) (b P )R(ˆζ) M 2, ˆζ, µ

18 average transverse momentum shift (here: Sivers) 8 unpolarized quark density in a transversely polarized nucleon ρ T U (x, p T, S T ) = f (x, p 2 T ) ɛ ijp i S j M f T (x, p 2 T ) = dp Φ [γ+ ] p y T U p y dx d 2 p T p y ρ T U (x, p T, S T = (, 0)) dx d2 p T ρ T U (x, p T, S T = (, 0)) illustration only () dx f T = M (x) (0) dx f (x) p y T U := average quark momentum in transverse y-direction measured in a proton polarized in transverse x-direction. u u d S? dipole moment, shift attention divergences from high-p T -tails! generalized average transverse momentum shift () dx f T p y T U (B T ) M (x, B2 T ) (0) dx f (x, B2 T ) = S( B T 2,...) Ã2B( BT 2, 0, 0, ˆζ, µ) S( B T 2,...) Ã2B( BT 2, 0, 0, ˆζ, µ)

19 lattice calculations (more at DIS 20 ) 9 v b p y T U (B T ; ζ) M Ã lat dx f () T (x, B2 T ) dx f (0) (x, B2 T ) 2 ( BT 2 = lim, 0, 0, ˆζ, µ, η) R(ˆζ) η Ã lat 2 ( B2 T, 0, 0, ˆζ, µ, η) + R(ˆζ) lattice limitations link spacelike, finite length look for plateau at large η ˆζ max = P lat M B T a (at least a few lattice spacings a) + typical lattice limitations B lat 8 ( BT 2, 0, 0, ˆζ, µ, η) B lat ( B2 T, 0, 0, ˆζ, µ, η) preliminary lattice results MILC lattices (staggered) LHPC propagators (domain wall) pion mass m π 500 MeV box 20 3, spacing a 0.2 fm

20 preliminary lattice results: Sivers shift 20 GeV f 0 m N f T Sivers Shift DY preliminary down quarks, Ζ 0.39, B T 0.36 fm SIDIS Η () dx f T M (x, B2 T ) (0) dx f (x, B2 T ) = Ã 2 R(ˆζ) B 8 Ã 2 + R(ˆζ) B

21 preliminary lattice results: Boer-Mulders shift 2 GeV Boer Mulders Shift 0.4 total contrib. from A f 0 m N h down quarks, Ζ 0.39, B T 0.36 fm DY preliminary SIDIS Η () dx h (x, BT 2 M ) (0) dx f (x, B2 T ) = Ã 4 R(ˆζ) B 3 Ã 2 + R(ˆζ) B R(ˆζ) ˆζ 0 expect numerator dominated by Ã4 close to lighcone. (We are still far from that region.)

22 preliminary lattice results: Boer-Mulders shift 22 GeV Boer Mulders Shift 0.4 total contrib. from A f 0 m N h down quarks, Ζ 0.78, B T 0.36 fm DY preliminary SIDIS Η () dx h (x, BT 2 M ) (0) dx f (x, B2 T ) = Ã 4 R(ˆζ) B 3 Ã 2 + R(ˆζ) B R(ˆζ) ˆζ 0 expect numerator dominated by Ã4 close to lighcone. (We are still far from that region.)

23 preliminary lattice results: Boer-Mulders shift Boer Mulders Shift SIDIS GeV f 0 m N h preliminary total contrib. from A 4 down quarks, B T 0.36 fm () dx h (x, BT 2 M ) (0) dx f (x, B2 T ) = Ã 4 R(ˆζ) B 3 Ã 2 + R(ˆζ) B R(ˆζ) ˆζ 0 expect numerator dominated by Ã4 close to lighcone. Ζ

24 preliminary lattice results: Boer-Mulders shift Boer Mulders Shift SIDIS GeV f 0 m N h ? preliminary total contrib. from A 4 down quarks, B T 0.36 fm () dx h (x, BT 2 M ) (0) dx f (x, B2 T ) = Ã 4 R(ˆζ) B 3 Ã 2 + R(ˆζ) B R(ˆζ) ˆζ 0 expect numerator dominated by Ã4 close to lighcone. Ζ

25 Conclusions 25 Soft factors cancel in weighted asymmetries. generalization to Bessel-weights avoid divergences from high p T -tails similar advantages found in ratios of Fourier-transformed TMDs first lattice calculations for the Sivers- and the Boer-Mulders shift albeit at a relatively low Collins-Soper parameter ζ towards observables with minimal model-dependence. Thanks to the MILC and LHP lattice collaborations for providing gauge configurations and propagators.

Physical origin of the Gouy phase shift by Simin Feng, Herbert G. Winful Opt. Lett. 26, (2001)

Physical origin of the Gouy phase shift by Simin Feng, Herbert G. Winful Opt. Lett. 26, (2001) by Simin Feng, Herbert G. Winful Opt. Lett. 26, 485-487 (2001) http://smos.sogang.ac.r April 18, 2014 Introduction What is the Gouy phase shift? For Gaussian beam or TEM 00 mode, ( w 0 r 2 E(r, z) = E

Detaljer

Deepshikha Shukla (Daniel Phillips, Andreas Nogga)

Deepshikha Shukla (Daniel Phillips, Andreas Nogga) Compton Scattering from He- Deepshikha Shukla (Daniel Phillips, ndreas Nogga) Outline Neutron polarizabilities very brief summary Chiral perturbation theory Our calculation and prediction Summary and future

Detaljer

SVM and Complementary Slackness

SVM and Complementary Slackness SVM and Complementary Slackness David Rosenberg New York University February 21, 2017 David Rosenberg (New York University) DS-GA 1003 February 21, 2017 1 / 20 SVM Review: Primal and Dual Formulations

Detaljer

Generalization of age-structured models in theory and practice

Generalization of age-structured models in theory and practice Generalization of age-structured models in theory and practice Stein Ivar Steinshamn, stein.steinshamn@snf.no 25.10.11 www.snf.no Outline How age-structured models can be generalized. What this generalization

Detaljer

TFY4170 Fysikk 2 Justin Wells

TFY4170 Fysikk 2 Justin Wells TFY4170 Fysikk 2 Justin Wells Forelesning 5: Wave Physics Interference, Diffraction, Young s double slit, many slits. Mansfield & O Sullivan: 12.6, 12.7, 19.4,19.5 Waves! Wave phenomena! Wave equation

Detaljer

Slope-Intercept Formula

Slope-Intercept Formula LESSON 7 Slope Intercept Formula LESSON 7 Slope-Intercept Formula Here are two new words that describe lines slope and intercept. The slope is given by m (a mountain has slope and starts with m), and intercept

Detaljer

UNIVERSITETET I OSLO

UNIVERSITETET I OSLO UNIVERSITETET I OSLO Det matematisk-naturvitenskapelige fakultet Eksamen i MAT2400 Analyse 1. Eksamensdag: Onsdag 15. juni 2011. Tid for eksamen: 09.00 13.00 Oppgavesettet er på 6 sider. Vedlegg: Tillatte

Detaljer

Moving Objects. We need to move our objects in 3D space.

Moving Objects. We need to move our objects in 3D space. Transformations Moving Objects We need to move our objects in 3D space. Moving Objects We need to move our objects in 3D space. An object/model (box, car, building, character,... ) is defined in one position

Detaljer

Stationary Phase Monte Carlo Methods

Stationary Phase Monte Carlo Methods Stationary Phase Monte Carlo Methods Daniel Doro Ferrante G. S. Guralnik, J. D. Doll and D. Sabo HET Physics Dept, Brown University, USA. danieldf@het.brown.edu www.het.brown.edu Introduction: Motivations

Detaljer

Abstract. i x + a x +. a = (a x, a y ) z γ + 1 γ + z )

Abstract. i x + a x +. a = (a x, a y ) z γ + 1 γ + z ) Abstract R, Aharonov-Bohm Schrödinger Landau level Aharonov-Bohm Schrödinger 1 Aharonov-Bohm R Schrödinger ( ) ( ) 1 1 L a = i + a = i x + a x + ( ) 1 i y + a y (1). a = (a x, a y ) rot a = ( x a y y a

Detaljer

Qi-Wu-Zhang model. 2D Chern insulator. León Martin. 19. November 2015

Qi-Wu-Zhang model. 2D Chern insulator. León Martin. 19. November 2015 Qi-Wu-Zhang model 2D Chern insulator León Martin 19. November 2015 Motivation Repeat: Rice-Mele-model Bulk behavior Edge states Layering 2D Chern insulators Robustness of edge states Motivation topological

Detaljer

Splitting the differential Riccati equation

Splitting the differential Riccati equation Splitting the differential Riccati equation Tony Stillfjord Numerical Analysis, Lund University Joint work with Eskil Hansen Innsbruck Okt 15, 2014 Outline Splitting methods for evolution equations The

Detaljer

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS English Exam: ECON2915 Economic Growth Date of exam: 25.11.2014 Grades will be given: 16.12.2014 Time for exam: 09.00 12.00 The problem set covers 3 pages Resources

Detaljer

Existence of resistance forms in some (non self-similar) fractal spaces

Existence of resistance forms in some (non self-similar) fractal spaces Existence of resistance forms in some (non self-similar) fractal spaces Patricia Alonso Ruiz D. Kelleher, A. Teplyaev University of Ulm Cornell, 12 June 2014 Motivation X Fractal Motivation X Fractal Laplacian

Detaljer

Neural Network. Sensors Sorter

Neural Network. Sensors Sorter CSC 302 1.5 Neural Networks Simple Neural Nets for Pattern Recognition 1 Apple-Banana Sorter Neural Network Sensors Sorter Apples Bananas 2 Prototype Vectors Measurement vector p = [shape, texture, weight]

Detaljer

Trust region methods: global/local convergence, approximate January methods 24, / 15

Trust region methods: global/local convergence, approximate January methods 24, / 15 Trust region methods: global/local convergence, approximate methods January 24, 2014 Trust region methods: global/local convergence, approximate January methods 24, 2014 1 / 15 Trust-region idea Model

Detaljer

Gradient. Masahiro Yamamoto. last update on February 29, 2012 (1) (2) (3) (4) (5)

Gradient. Masahiro Yamamoto. last update on February 29, 2012 (1) (2) (3) (4) (5) Gradient Masahiro Yamamoto last update on February 9, 0 definition of grad The gradient of the scalar function φr) is defined by gradφ = φr) = i φ x + j φ y + k φ ) φ= φ=0 ) ) 3) 4) 5) uphill contour downhill

Detaljer

Lattice Simulations of Preheating. Gary Felder KITP February 2008

Lattice Simulations of Preheating. Gary Felder KITP February 2008 Lattice Simulations of Preheating Gary Felder KITP February 008 Outline Reheating and Preheating Lattice Simulations Gravity Waves from Preheating Conclusion Reheating and Preheating Reheating is the decay

Detaljer

Graphs similar to strongly regular graphs

Graphs similar to strongly regular graphs Joint work with Martin Ma aj 5th June 2014 Degree/diameter problem Denition The degree/diameter problem is the problem of nding the largest possible graph with given diameter d and given maximum degree

Detaljer

PROBLEM 2 (40%) Consider electron-muon scattering e + µ e + µ. (a) Draw the lowest order Feynman diagram and compute M.

PROBLEM 2 (40%) Consider electron-muon scattering e + µ e + µ. (a) Draw the lowest order Feynman diagram and compute M. ENGLISH 1 PROBLEM 1 (60%) (a) Draw the general primitive vertices used in Feynman diagrams for the following cases: electromagnetic interactions, charged weak interactions, neutral weak interactions, and

Detaljer

OPPA European Social Fund Prague & EU: We invest in your future.

OPPA European Social Fund Prague & EU: We invest in your future. OPPA European Social Fund Prague & EU: We invest in your future. Talk Outline appearance based tracking patch similarity using histogram tracking by mean shift experiments, discussion Mean shift Tomáš

Detaljer

OPPA European Social Fund Prague & EU: We invest in your future.

OPPA European Social Fund Prague & EU: We invest in your future. OPPA European Social Fund Prague & EU: We invest in your future. Talk Outline appearance based tracking patch similarity using histogram tracking by mean shift experiments, discussion Mean shift Tomáš

Detaljer

Mathematics 114Q Integration Practice Problems SOLUTIONS. = 1 8 (x2 +5x) 8 + C. [u = x 2 +5x] = 1 11 (3 x)11 + C. [u =3 x] = 2 (7x + 9)3/2

Mathematics 114Q Integration Practice Problems SOLUTIONS. = 1 8 (x2 +5x) 8 + C. [u = x 2 +5x] = 1 11 (3 x)11 + C. [u =3 x] = 2 (7x + 9)3/2 Mathematics 4Q Name: SOLUTIONS. (x + 5)(x +5x) 7 8 (x +5x) 8 + C [u x +5x]. (3 x) (3 x) + C [u 3 x] 3. 7x +9 (7x + 9)3/ [u 7x + 9] 4. x 3 ( + x 4 ) /3 3 8 ( + x4 ) /3 + C [u + x 4 ] 5. e 5x+ 5 e5x+ + C

Detaljer

BEC in microgravity. W. Herr, Institute for Quantum Optics, Leibniz University of Hanover

BEC in microgravity. W. Herr, Institute for Quantum Optics, Leibniz University of Hanover BEC in microgravity W. Herr, Institute for Quantum Optics, Leibniz University of Hanover Outline Reminder: Why microgravity? Why BEC? BEC in microgravity: Pilot project, Quantus Results Ongoing activity

Detaljer

Call function of two parameters

Call function of two parameters Call function of two parameters APPLYUSER USER x fµ 1 x 2 eµ x 1 x 2 distinct e 1 0 0 v 1 1 1 e 2 1 1 v 2 2 2 2 e x 1 v 1 x 2 v 2 v APPLY f e 1 e 2 0 v 2 0 µ Evaluating function application The math demands

Detaljer

TMA4245 Statistikk. Øving nummer 12, blokk II Løsningsskisse. Norges teknisk-naturvitenskapelige universitet Institutt for matematiske fag

TMA4245 Statistikk. Øving nummer 12, blokk II Løsningsskisse. Norges teknisk-naturvitenskapelige universitet Institutt for matematiske fag Vår 205 Norges tekisk-aturviteskapelige uiversitet Istitutt for matematiske fag Øvig ummer 2, blokk II Løsigsskisse Oppgave a - β agir biles besiforbruk i liter/mil - Rimelig med α 0 fordi med x 0 ige

Detaljer

Oppgave 1. ( xφ) φ x t, hvis t er substituerbar for x i φ.

Oppgave 1. ( xφ) φ x t, hvis t er substituerbar for x i φ. Oppgave 1 Beviskalklen i læreboka inneholder sluttningsregelen QR: {ψ φ}, ψ ( xφ). En betingelse for å anvende regelen er at det ikke finnes frie forekomste av x i ψ. Videre så inneholder beviskalklen

Detaljer

UNIVERSITETET I OSLO Det matematisk naturvitenskapelige fakultet

UNIVERSITETET I OSLO Det matematisk naturvitenskapelige fakultet UNIVERSITETET I OSLO Det matematisk naturvitenskapelige fakultet Eksamen i AST5220/9420 Kosmologi II Eksamensdag: Fredag 11. juni 2010 Tid for eksamen: 09.00 12.00 Oppgavesettet er på 4 sider. Vedlegg:

Detaljer

FILTERDESIGN Ukeoppgavene skal leveres som selvstendige arbeider. Det forventes at alle har satt seg inn i instituttets krav til innleverte oppgaver: Norsk versjon: http://www.ifi.uio.no/studinf/skjemaer/erklaring.pdf

Detaljer

Dynamic Programming Longest Common Subsequence. Class 27

Dynamic Programming Longest Common Subsequence. Class 27 Dynamic Programming Longest Common Subsequence Class 27 Protein a protein is a complex molecule composed of long single-strand chains of amino acid molecules there are 20 amino acids that make up proteins

Detaljer

HØGSKOLEN I NARVIK - SIVILINGENIØRUTDANNINGEN

HØGSKOLEN I NARVIK - SIVILINGENIØRUTDANNINGEN HØGSKOLEN I NARVIK - SIVILINGENIØRUTDANNINGEN EKSAMEN I FAGET STE 6243 MODERNE MATERIALER KLASSE: 5ID DATO: 7 Oktober 2005 TID: 900-200, 3 timer ANTALL SIDER: 7 (inklusiv Appendix: tabell og formler) TILLATTE

Detaljer

Verifiable Secret-Sharing Schemes

Verifiable Secret-Sharing Schemes Aarhus University Verifiable Secret-Sharing Schemes Irene Giacomelli joint work with Ivan Damgård, Bernardo David and Jesper B. Nielsen Aalborg, 30th June 2014 Verifiable Secret-Sharing Schemes Aalborg,

Detaljer

Exam in FY3464 QUANTUM FIELD THEORY I Friday november 30th, :00 13:00

Exam in FY3464 QUANTUM FIELD THEORY I Friday november 30th, :00 13:00 NTNU Page 1 of 4 Institutt for fysikk Contact during the exam: Professor Kåre Olaussen Telephone: 9 36 52 or 45 43 71 70 Exam in FY3464 QUANTUM FIELD THEORY I Friday november 30th, 2007 09:00 13:00 Allowed

Detaljer

Oppgave. føden)? i tråd med

Oppgave. føden)? i tråd med Oppgaver Sigurd Skogestad, Eksamen septek 16. des. 2013 Oppgave 2. Destillasjon En destillasjonskolonne har 7 teoretiske trinn (koker + 3 ideelle plater under føden + 2 ideellee plater over føden + partielll

Detaljer

INF2820 Datalingvistikk V2011. Jan Tore Lønning & Stephan Oepen

INF2820 Datalingvistikk V2011. Jan Tore Lønning & Stephan Oepen INF2820 Datalingvistikk V2011 Jan Tore Lønning & Stephan Oepen TABELLPARSING 1. mars 2011 2 I dag Oppsummering fra sist: Recursive-descent og Shift-reduce parser Svakheter med disse Tabellparsing: Dynamisk

Detaljer

Low-energy enhancement of M1 strength

Low-energy enhancement of M1 strength Text optional: Institutsname Prof Dr Hans Mustermann wwwfzdde Mitglied der Leibniz-Gemeinschaft Low-energy enhancement of M1 strength R Schwengner 1, S Frauendorf 2, A C Larsen 3 1 Institut für Strahlenphysik,

Detaljer

Modeling Longitudinal Dyadic Data in the SEM Framework

Modeling Longitudinal Dyadic Data in the SEM Framework DEPARTMENT DATA ANALYSIS Modeling Longitudinal Dyadic Data in the SEM Framework Fien Gistelinck Promoter: Tom Loeys CONTENT Longitudinal dyadic data Modeling framework Fien Gistelinck RSSB - 2018 3/18

Detaljer

Energy Calibration for the Forward Detector at WASA-at-COSY

Energy Calibration for the Forward Detector at WASA-at-COSY Energy Calibration for the Forward Detector at WASA-at-COSY Kay Demmich Westfälische Wilhelms-Universität Münster, Institut für Kernphysik DPG Spring Meeting (HK 42.7) 5. März 23 K. Demmich (WWU) Calibration

Detaljer

Exam in Quantum Mechanics (phys201), 2010, Allowed: Calculator, standard formula book and up to 5 pages of own handwritten notes.

Exam in Quantum Mechanics (phys201), 2010, Allowed: Calculator, standard formula book and up to 5 pages of own handwritten notes. Exam in Quantum Mechanics (phys01), 010, There are 3 problems, 1 3. Each problem has several sub problems. The number of points for each subproblem is marked. Allowed: Calculator, standard formula book

Detaljer

Institutt for fysikk Fakultet for fysikk, informatikk og matematikk. Løsningsforslag til eksamen i FY3403 PARTIKKELFYSIKK Torsdag 31.

Institutt for fysikk Fakultet for fysikk, informatikk og matematikk. Løsningsforslag til eksamen i FY3403 PARTIKKELFYSIKK Torsdag 31. NTNU Side av 7 Institutt for fysikk Fakultet for fysikk, informatikk og matematikk Dette løsningsforslaget er på 7 sider. Løsningsforslag til eksamen i FY3403 PARTIKKELFYSIKK Torsdag 3. mai 007 Oppgave.

Detaljer

Jørgen S. Nielsen Institute for Storage Ring Facilities (ISA) University of Århus Denmark. ESLS-RF 11 (4-5/ ), A new LLRF system for ASTRIDx

Jørgen S. Nielsen Institute for Storage Ring Facilities (ISA) University of Århus Denmark. ESLS-RF 11 (4-5/ ), A new LLRF system for ASTRIDx Jørgen S. Nielsen Institute for Storage Ring Facilities (ISA) University of Århus Denmark ESLS-RF 11 (4-5/10-2007), A new LLRF system for ASTRIDx 1 The present ASTRID LLRF is Old, Analog Risk of failure,

Detaljer

A Benchmark of Selected Algorithmic. Machine Learning and Computer Vision

A Benchmark of Selected Algorithmic. Machine Learning and Computer Vision A Benchmark of Selected Algorithmic Differentiation Tools on Some Problems in Machine Learning and Computer Vision FILIP SRAJER ZUZANA KUKELOVA ANDREW FITZGIBBON AD2016 11.9.2016 Version for public release

Detaljer

Utsatt eksamen ECON2915

Utsatt eksamen ECON2915 Utsatt eksamen ECON2915 Oppgave 1 Betrakt en Solow vekstmodell for en lukket økonomi. Vi har følgende relasjoner: Y = AK α L 1 α (1) K = γy δk, 0 < γ < 1, 0 < δ < 1 (2) der Y er brutto nasjonalprodukt,

Detaljer

Universitetet i Bergen Det matematisk-naturvitenskapelige fakultet Eksamen i emnet Mat131 - Differensiallikningar I Onsdag 25. mai 2016, kl.

Universitetet i Bergen Det matematisk-naturvitenskapelige fakultet Eksamen i emnet Mat131 - Differensiallikningar I Onsdag 25. mai 2016, kl. 1 MAT131 Bokmål Universitetet i Bergen Det matematisk-naturvitenskapelige fakultet Eksamen i emnet Mat131 - Differensiallikningar I Onsdag 25. mai 2016, kl. 09-14 Oppgavesettet er 4 oppgaver fordelt på

Detaljer

UNIVERSITETET I OSLO ØKONOMISK INSTITUTT

UNIVERSITETET I OSLO ØKONOMISK INSTITUTT UNIVERSITETET I OSLO ØKONOMISK INSTITUTT BOKMÅL Eksamen i: ECON1210 - Forbruker, bedrift og marked Eksamensdag: 26.11.2013 Sensur kunngjøres: 18.12.2013 Tid for eksamen: kl. 14:30-17:30 Oppgavesettet er

Detaljer

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS English Postponed exam: ECON2915 Economic growth Date of exam: 11.12.2014 Time for exam: 09:00 a.m. 12:00 noon The problem set covers 4 pages Resources allowed:

Detaljer

Løsningsforslag til eksamen i FY3464 KVANTEFELTTEORI Torsdag 26. mai 2005

Løsningsforslag til eksamen i FY3464 KVANTEFELTTEORI Torsdag 26. mai 2005 NTNU Side av 5 Institutt or ysikk Fakultet or ysikk, inormatikk og matematikk Eksamen gitt av Kåre Olaussen Dette løsningsorslaget er på 5 sider. Løsningsorslag til eksamen i FY3464 KVANTEFELTTEORI Torsdag

Detaljer

Løsningsforslag til eksamen i SIF4072 KLASSISK FELTTEORI Onsdag 28. mai 2003

Løsningsforslag til eksamen i SIF4072 KLASSISK FELTTEORI Onsdag 28. mai 2003 Norges teknisk naturvitenskapelige universitet NTNU Side 1 av 9 Institutt for fysikk Fakultet for naturvitenskap og teknologi Løsningsforslag til eksamen i SIF4072 KLASSISK FELTTEORI Onsdag 28. mai 2003

Detaljer

STOREFRONTS. Typical Details SCREW RACE JOINERY. Center Glazed Series B1. Interior Glazing (Shown with FF400 subsill) April 1998

STOREFRONTS. Typical Details SCREW RACE JOINERY. Center Glazed Series B1. Interior Glazing (Shown with FF400 subsill) April 1998 - SCREW RCE JOINERY NOTE: NP22 glazing gaskets are used on both sides of glass. Typical TYPICL ELEVTION / (2.) HC20 Optional Head nchor PS00 Optional Filler EC0 Subsill s End Closure Typical (0.) IS IS2

Detaljer

UNIVERSITETET I OSLO ØKONOMISK INSTITUTT

UNIVERSITETET I OSLO ØKONOMISK INSTITUTT 1 UNIVERSITETET I OSLO ØKONOMISK INSTITUTT BOKMÅL Utsatt eksamen i: ECON2915 Vekst og næringsstruktur Eksamensdag: 07.12.2012 Tid for eksamen: kl. 09:00-12:00 Oppgavesettet er på 5 sider Tillatte hjelpemidler:

Detaljer

Software applications developed for the maritime service at the Danish Meteorological Institute

Software applications developed for the maritime service at the Danish Meteorological Institute Software applications developed for the maritime service at the Danish Meteorological Institute Anne Marie Munk Jørgensen (ammj@dmi.dk), Ove Kjær, Knud E. Christensen & Morten L. Mortensen Danish Meteorological

Detaljer

TMA4329 Intro til vitensk. beregn. V2017

TMA4329 Intro til vitensk. beregn. V2017 Norges teknisk naturvitenskapelige universitet Institutt for Matematiske Fag TMA439 Intro til vitensk. beregn. V17 ving 4 [S]T. Sauer, Numerical Analysis, Second International Edition, Pearson, 14 Teorioppgaver

Detaljer

Finite Elements Methods. Formulary for Prof. Estor's exam

Finite Elements Methods. Formulary for Prof. Estor's exam Finite Elements Methods Formulary for Prof. Estor's exam Finite Element Method in General One wants to obtain the equilibrium eqautions for the body, discretized by nite elements in the form M Ü + C U

Detaljer

Trigonometric Substitution

Trigonometric Substitution Trigonometric Substitution Alvin Lin Calculus II: August 06 - December 06 Trigonometric Substitution sin 4 (x) cos (x) dx When you have a product of sin and cos of different powers, you have three different

Detaljer

Energy Dissipation in Hybrid Stars. Sophia Han. Washington University

Energy Dissipation in Hybrid Stars. Sophia Han. Washington University Energy Dissipation in Hybrid Stars Sophia Han Washington University Texas Symposium December 8-13, 2013 Mark Alford, Sophia Han, Kai Schwenzer 1 Context Nuclear Matter Crust Quark Matter Core -Sharp interface:

Detaljer

Speed Racer Theme. Theme Music: Cartoon: Charles Schultz / Jef Mallett Peanuts / Frazz. September 9, 2011 Physics 131 Prof. E. F.

Speed Racer Theme. Theme Music: Cartoon: Charles Schultz / Jef Mallett Peanuts / Frazz. September 9, 2011 Physics 131 Prof. E. F. September 9, 2011 Physics 131 Prof. E. F. Redish Theme Music: Speed Racer Theme Cartoon: Charles Schultz / Jef Mallett Peanuts / Frazz 1 Reading questions Are the lines on the spatial graphs representing

Detaljer

EKSAMEN I FAG TTT4110 Informasjons- og signalteori. Norsk tekst på oddetalls-sider. (English text on even numbered pages.)

EKSAMEN I FAG TTT4110 Informasjons- og signalteori. Norsk tekst på oddetalls-sider. (English text on even numbered pages.) Side/Page 1 av/of 8 + 3 sider vedlegg + enclosure, 3 pages NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET INSTITUTT FOR ELEKTRONIKK OG TELEKOMMUNIKASJON Signalbehandling Faglig kontakt under eksamen: Navn:

Detaljer

Eksamen i FY3466 KVANTEFELTTEORI II Tirsdag 20. mai :00 13:00

Eksamen i FY3466 KVANTEFELTTEORI II Tirsdag 20. mai :00 13:00 NTNU Side 1 av 3 Institutt for fysikk Faglig kontakt under eksamen: Professor Kåre Olaussen Telefon: 9 36 52 eller 45 43 71 70 Eksamen i FY3466 KVANTEFELTTEORI II Tirsdag 20. mai 2008 09:00 13:00 Tillatte

Detaljer

PSi Apollo. Technical Presentation

PSi Apollo. Technical Presentation PSi Apollo Spreader Control & Mapping System Technical Presentation Part 1 System Architecture PSi Apollo System Architecture PSi Customer label On/Off switch Integral SD card reader/writer MENU key Typical

Detaljer

Løsningsforslag til eksamen i FY8306 KVANTEFELTTEORI Fredag 9. juni 2006

Løsningsforslag til eksamen i FY8306 KVANTEFELTTEORI Fredag 9. juni 2006 NTNU Side av 3 Institutt for fysikk Fakultet for fysikk, informatikk og matematikk Løsningsforslag til eksamen i FY836 KVANTEFELTTEORI Fredag 9. juni 6 Dette løsningsforslaget er på 3 sider, pluss et vedlegg

Detaljer

UNIVERSITETET I OSLO ØKONOMISK INSTITUTT

UNIVERSITETET I OSLO ØKONOMISK INSTITUTT UNIVERSITETET I OSLO ØKONOMISK INSTITUTT Eksamen i: ECON3120/4120 Mathematics 2: Calculus an linear algebra Exam: ECON3120/4120 Mathematics 2: Calculus an linear algebra Eksamensag: Tirsag 3. juni 2008

Detaljer

Skog som biomasseressurs: skog modeller. Rasmus Astrup

Skog som biomasseressurs: skog modeller. Rasmus Astrup Skog som biomasseressurs: skog modeller Rasmus Astrup Innhold > Bakkgrunn: Karbon dynamikk i skog > Modellering av skog i Skog som biomassressurs > Levende biomasse > Dødt organisk materiale og jord >

Detaljer

Eksamen i fag RELATIVISTISK KVANTEMEKANIKK Fredag 26. mai 2000 Tid: 09:00 14:00

Eksamen i fag RELATIVISTISK KVANTEMEKANIKK Fredag 26. mai 2000 Tid: 09:00 14:00 Side 1 av 3 NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET INSTITUTT FOR FYSIKK Faglig kontakt under eksamen: Navn: Kåre Olaussen Telefon: 9 36 52 Eksamen i fag 74327 RELATIVISTISK KVANTEMEKANIKK Fredag

Detaljer

Eksamen i TMA4123/TMA4125 Matematikk 4M/N

Eksamen i TMA4123/TMA4125 Matematikk 4M/N Norges teknisk naturvitenskapelige universitet Institutt for matematiske fag Side av 7 Faglig kontakt under eksamen: Anne Kværnø: mobil 92663824 Eksamen i TMA423/TMA425 Matematikk 4M/N Bokmål Mandag 2.

Detaljer

Unit Relational Algebra 1 1. Relational Algebra 1. Unit 3.3

Unit Relational Algebra 1 1. Relational Algebra 1. Unit 3.3 Relational Algebra 1 Unit 3.3 Unit 3.3 - Relational Algebra 1 1 Relational Algebra Relational Algebra is : the formal description of how a relational database operates the mathematics which underpin SQL

Detaljer

Ole Isak Eira Masters student Arctic agriculture and environmental management. University of Tromsø Sami University College

Ole Isak Eira Masters student Arctic agriculture and environmental management. University of Tromsø Sami University College The behavior of the reindeer herd - the role of the males Ole Isak Eira Masters student Arctic agriculture and environmental management University of Tromsø Sami University College Masters student at Department

Detaljer

Ringvorlesung Biophysik 2016

Ringvorlesung Biophysik 2016 Ringvorlesung Biophysik 2016 Born-Oppenheimer Approximation & Beyond Irene Burghardt (burghardt@chemie.uni-frankfurt.de) http://www.theochem.uni-frankfurt.de/teaching/ 1 Starting point: the molecular Hamiltonian

Detaljer

Berry Phases of Boundary Gravitons

Berry Phases of Boundary Gravitons Berry Phases of Boundary Gravitons Blagoje Oblak (ETH Zurich) February 2018 Based on arxiv 1703.06142 (JHEP) Based on arxiv 1710.06883 (JHEP) Based on arxiv 1711.05753 (CQG) MOTIVATION Gravity has rich

Detaljer

Satellite Stereo Imagery. Synthetic Aperture Radar. Johnson et al., Geosphere (2014)

Satellite Stereo Imagery. Synthetic Aperture Radar. Johnson et al., Geosphere (2014) Satellite Stereo Imagery Synthetic Aperture Radar Johnson et al., Geosphere (2014) Non-regular sampling Missing data due to lack of correlation, shadows, water, Potentially 3D as opposed to purely 2D (i.e.

Detaljer

Eksamen i FY8306 KVANTEFELTTEORI Fredag 9. juni :00 13:00

Eksamen i FY8306 KVANTEFELTTEORI Fredag 9. juni :00 13:00 NTNU Side av 3 Institutt for fysikk Faglig kontakt under eksamen: Professor Kåre Olaussen Telefon: 9 36 52 eller 45 43 7 70 Eksamen i FY8306 KVANTEFELTTEORI Fredag 9. juni 2006 09:00 3:00 Tillatte hjelpemidler:

Detaljer

The Effects of an Extended Neutrino Sphere on Supernova Neutrino Oscillations

The Effects of an Extended Neutrino Sphere on Supernova Neutrino Oscillations The Effects of an Extended Neutrino Sphere on Supernova Neutrino Oscillations max-planck-institut für Kernphysik Heidelberg NDM 2018, IBS, Korea July 2, 2018 1 / 24 Janka et al. 2012 2 / 24 Impact of neutrino

Detaljer

Multimedia in Teacher Training (and Education)

Multimedia in Teacher Training (and Education) Multimedia in Teacher Training (and Education) Bodo Eckert, Stefan Altherr, Hans-Jörg Jodl Second International GIREP Seminar 1-6 September 2003 University of Udine, Italy Content Training courses for

Detaljer

Oppgave 1. Norges teknisk-naturvitenskapelige universitet NTNU Institutt for fysikk EKSAMEN I: MNFFY 245 INNFØRING I KVANTEMEKANIKK

Oppgave 1. Norges teknisk-naturvitenskapelige universitet NTNU Institutt for fysikk EKSAMEN I: MNFFY 245 INNFØRING I KVANTEMEKANIKK Norges teknisk-naturvitenskapelige universitet NTNU Institutt for fysikk EKSAMEN I: MNFFY 45 INNFØRING I KVANTEMEKANIKK DATO: Fredag 4 desember TID: 9 5 Antall vekttall: 4 Antall sider: 5 Tillatte hjelpemidler:

Detaljer

Formelsamling. ξ(r, t) = ξ 0 sin(k r ωt + φ) 2 ξ(x, t) = 1 2 ξ(x, t) t 2. 2 ξ. x ξ. z 2. y ξ. v = ω k. v g = dω dk

Formelsamling. ξ(r, t) = ξ 0 sin(k r ωt + φ) 2 ξ(x, t) = 1 2 ξ(x, t) t 2. 2 ξ. x ξ. z 2. y ξ. v = ω k. v g = dω dk Formelsamling Side 7 av 15 Fete symboler angir vektorer. Symboler med hatt over angir enhetsvektorer. Formlenes gyldighet og symbolenes betydning antas å være kjent. Harmonisk plan bølge: Bølgeligning:

Detaljer

Jeroen Stil Institute for Space Imaging Science. University of Calgary

Jeroen Stil Institute for Space Imaging Science. University of Calgary Jeroen Stil Institute for Space Imaging Science University of Calgary Origin and evolution of cosmic magnetic fields is a key science goal for the SKA Rotation measures of polarized background sources

Detaljer

Solutions #12 ( M. y 3 + cos(x) ) dx + ( sin(y) + z 2) dy + xdz = 3π 4. The surface M is parametrized by σ : [0, 1] [0, 2π] R 3 with.

Solutions #12 ( M. y 3 + cos(x) ) dx + ( sin(y) + z 2) dy + xdz = 3π 4. The surface M is parametrized by σ : [0, 1] [0, 2π] R 3 with. Solutions #1 1. a Show that the path γ : [, π] R 3 defined by γt : cost ı sint j sint k lies on the surface z xy. b valuate y 3 cosx dx siny z dy xdz where is the closed curve parametrized by γ. Solution.

Detaljer

Formelsamling Bølgefysikk Desember 2006

Formelsamling Bølgefysikk Desember 2006 Vedlegg 1 av 9 Formelsamling Bølgefysikk Desember 2006 Fete symboler angir vektorer. Symboler med hatt over angir enhetsvektorer. Formlenes gyldighet og symbolenes betydning antas å være kjent. Harmonisk

Detaljer

Eksamen i FY3452 GRAVITASJON OG KOSMOLOGI Lørdag 19. mai :00 13:00

Eksamen i FY3452 GRAVITASJON OG KOSMOLOGI Lørdag 19. mai :00 13:00 NTNU Side 1 av 2 Institutt for fysikk Faglig kontakt under eksamen: Professor Kåre Olaussen Telefon: 45 43 71 70 Eksamen i FY3452 GRAVITASJON OG KOSMOLOGI Lørdag 19. mai 2012 09:00 13:00 Tillatte hjelpemidler:

Detaljer

Univ. of Tsukuba & JSPS T. Horaguchi Jan for the ALICE Analysis Workshop. ALICE Analysis Hirosima Univ.

Univ. of Tsukuba & JSPS T. Horaguchi Jan for the ALICE Analysis Workshop. ALICE Analysis Hirosima Univ. Univ. of Tsukuba & JSPS T. Horaguchi Jan. 21 2010 for the ALICE Analysis Workshop 1 Status @ Tsukuba Group Analysis Facility @ Tsukuba Network @ Tsukuba Tsukuba Cluster Analysis Status & Plan Single &

Detaljer

Eksamen i TMA4190 Mangfoldigheter Onsdag 4 juni, Tid :

Eksamen i TMA4190 Mangfoldigheter Onsdag 4 juni, Tid : Norges teknisk-naturvitenskapelige universitet Institutt for matematiske fag SOLUTIONS Eksamen i TMA4190 Mangfoldigheter Onsdag 4 juni, 2013. Tid : 09.00 13.00 Oppgave 1 a) La U R n være enhetsdisken x

Detaljer

Returns, prices and volatility

Returns, prices and volatility Returns, prices and volatility Susan Thomas IGIDR, Bombay 22 September, 2017 Goals From expected returns to prices Price volatility Variance tests of pricing models Pricing models Expected returns to valuation

Detaljer

UNIVERSITETET I OSLO ØKONOMISK INSTITUTT

UNIVERSITETET I OSLO ØKONOMISK INSTITUTT UNIVERSITETET I OSLO ØKONOMISK INSTITUTT Eksamen i: ECON2915 Vekst og næringsstruktur Exam: ECON2915 - Growth and business structure Eksamensdag: Fredag 2. desember 2005 Sensur kunngjøres: 20. desember

Detaljer

Ma Flerdimensjonal Analyse Øving 11

Ma Flerdimensjonal Analyse Øving 11 Ma3 - Flerdimensjonal Analyse Øving Øistein Søvik 7.3. Oppgaver 5.3 5. Find the moment of inertie about the -axis. Eg the value of δ x + y ds, for a wire of constant density δ lying along the curve : r

Detaljer

EKSAMENSOPPGAVE I FAG TKP 4105

EKSAMENSOPPGAVE I FAG TKP 4105 EKSAMENSOPPGAVE I FAG TKP 4105 Faglig kontakt under eksamen: Sigurd Skogestad Tlf: 913 71669 (May-Britt Hägg Tlf: 930 80834) Eksamensdato: 08.12.11 Eksamenstid: 09:00 13:00 7,5 studiepoeng Tillatte hjelpemidler:

Detaljer

INF5820 Natural Language Processing - NLP. H2009 Jan Tore Lønning

INF5820 Natural Language Processing - NLP. H2009 Jan Tore Lønning INF5820 Natural Language Processing - NLP H2009 jtl@ifi.uio.no HMM Tagging INF5830 Lecture 3 Sep. 7 2009 Today More simple statistics, J&M sec 4.2: Product rule, Chain rule Notation, Stochastic variable

Detaljer

Formelsamling. ξ(r, t) = ξ 0 sin(k r ωt + φ) 2 ξ(x, t) = 1 2 ξ(x, t) t 2. 2 ξ. x ξ. z 2. y ξ. v = ω k. v g = dω dk

Formelsamling. ξ(r, t) = ξ 0 sin(k r ωt + φ) 2 ξ(x, t) = 1 2 ξ(x, t) t 2. 2 ξ. x ξ. z 2. y ξ. v = ω k. v g = dω dk Formelsamling Side 7 av 16 Fete symboler angir vektorer. Symboler med hatt over angir enhetsvektorer. Formlenes gyldighet og symbolenes betydning antas å være kjent. Harmonisk plan bølge: Bølgeligning:

Detaljer

5 z ds = x 2 +4y 2 4

5 z ds = x 2 +4y 2 4 TMA45 Matematikk 2 Vår 25 Norges teknisk naturvitenskapelige universitet Institutt for matematiske fag Løsningsforslag Øving Alle oppgavenummer referer til 8. utgave av Adams & Essex Calculus: A Complete

Detaljer

Level Set methods. Sandra Allaart-Bruin. Level Set methods p.1/24

Level Set methods. Sandra Allaart-Bruin. Level Set methods p.1/24 Level Set methods Sandra Allaart-Bruin sbruin@win.tue.nl Level Set methods p.1/24 Overview Introduction Level Set methods p.2/24 Overview Introduction Boundary Value Formulation Level Set methods p.2/24

Detaljer

INF2820 Datalingvistikk V2012. Jan Tore Lønning

INF2820 Datalingvistikk V2012. Jan Tore Lønning INF2820 Datalingvistikk V2012 Jan Tore Lønning TABELLPARSING OG CHART- PARSING 24. februar 2012 2 I dag Mellomspill: Chomsky Normal Form Tabellparsing: CKY-algoritmen Innlede Chart-Parsing 24. februar

Detaljer

Passenger Terminal World Expo 2011 Copenhagen, Denmark. Steven B. Cornell Assoc. Vice President

Passenger Terminal World Expo 2011 Copenhagen, Denmark. Steven B. Cornell Assoc. Vice President Passenger Terminal World Expo 2011 Copenhagen, Denmark Steven B. Cornell Assoc. Vice President Overview PRT Definition Planning Parameters for Airport Projects Speed Capacity Geometrics Costs New Airport

Detaljer

Checking Assumptions

Checking Assumptions Merlise Clyde Duke University November 16, 2016 Linear Model Linear Model: Y = µ + ɛ Assumptions: µ C(X) µ = Xβ ɛ N(0 n, σ 2 I n ) Focus on Wrong mean for a case or cases Wrong distribution for ɛ Cases

Detaljer

Checking Assumptions

Checking Assumptions Checking Assumptions Merlise Clyde STA721 Linear Models Duke University November 20, 2017 Linear Model Linear Model: Y = µ + ɛ Assumptions: µ C(X) µ = Xβ ɛ N(0 n, σ 2 I n ) Focus on Wrong mean for a case

Detaljer

NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET Geografisk institutt

NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET Geografisk institutt NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET Geografisk institutt BOKMÅL EKSAMEN i GEOG 2007 Effekter av klimaendringer Eksamensdato : 07.12.11 Sidetall bokmål: 2 Eksamenstid : 4 t Sidetall nynorsk:

Detaljer

Øving 5 - Fouriertransform - LF

Øving 5 - Fouriertransform - LF Øving 5 - Fouriertransform - LF Obligatoriske oppgaver See the notes Matlab: %x og t aksen x=:.:pi; t=:pi/:*pi; %sette opp funksjon og plotte hver frame for j=:length(t) %funksjonsverdier p innev rende

Detaljer

Analysis of ordinal data via heteroscedastic threshold models

Analysis of ordinal data via heteroscedastic threshold models Analysis of ordinal data via heteroscedastic threshold models JL Foulley/Applibugs 1 Example Koch s 1990 data on a clinical trial for respiratory illness Treatment (A) vs Placebo (P) 111 patients (54 in

Detaljer

Server-Side Eclipse. Bernd Kolb Martin Lippert it-agile GmbH

Server-Side Eclipse. Bernd Kolb Martin Lippert it-agile GmbH Server-Side Eclipse Bernd Kolb b.kolb@kolbware.de Martin Lippert it-agile GmbH lippert@acm.org 2006 by Martin Lippert, lippert@acm.org; made available under the EPL v1.0 Outline Introduction Why Eclipse?

Detaljer

Investigating B τν τ New Statistical Techniques. Matthew Barrett Dept of Electronic and Computer Engineering Brunel University

Investigating B τν τ New Statistical Techniques. Matthew Barrett Dept of Electronic and Computer Engineering Brunel University Investigating B τν τ at Ba Ba r with New Statistical Techniques Matthew Barrett Dept of Electronic and Computer Engineering Brunel University Outline of Talk "#$%&%&'$()*#'+,#-./ 0τν 1$2"3$+4$+.$+-.#'#4.+-56$

Detaljer

Kjell Arne Mork, Francisco Rey, Henrik Søiland

Kjell Arne Mork, Francisco Rey, Henrik Søiland Argo data in the Norwegian Sea Kjell Arne Mork, Francisco Rey, Henrik Søiland Institute of Marine Research, Norway Euro-Argo User Workshop, Paris June 21 Outline Institute Marine Research s monitoring

Detaljer

The Political Game of European Fisheries Management

The Political Game of European Fisheries Management The Political Game of European Fisheries Management Margrethe Aanesen and Claire W Armstrong, Environmental and Resource Economics (2016) 63, 745-763 Background Jensen, F. and N.Vestergaard (2002) Management

Detaljer

Motzkin monoids. Micky East. York Semigroup University of York, 5 Aug, 2016

Motzkin monoids. Micky East. York Semigroup University of York, 5 Aug, 2016 Micky East York Semigroup University of York, 5 Aug, 206 Joint work with Igor Dolinka and Bob Gray 2 Joint work with Igor Dolinka and Bob Gray 3 Joint work with Igor Dolinka and Bob Gray 4 Any questions?

Detaljer