P Mimica talk at Ringberg Caste, 9th of December 2008

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    Introduction Hydrodynamic model Non-thermal particles and emission Summary

    Spectral evolution of superluminalcomponents in parsec scale jets

    Petar Mimica1

    in collaboration with

    M.-A. Aloy1 I. Agudo2

    J. M. Mart1 J. L. Gmez2 J. A. Miralles3

    1Departament dAstronomia i Astrofsica, Universitat de Valncia

    2Instituto de Astrofsica de Andaluca (CSIC), Granada

    3Departament de Fsica Aplicada, Universitat dAlacant

    Ringberg Castle, December 9th, 2008

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    Introduction Hydrodynamic model Non-thermal particles and emission Summary

    Emission from parsec scale jets

    intensive VLBI monitoring of innermost regions of relativistic jetsreveals rich emission structure and variability, e.g.:

    stationary features: standing knots of increased radio emission associatedwith the internal oblique shockssuperluminal components: radio emitting plasma moving at apparent

    superluminal velocities, associated with injection of material into the jettrailing components: slow or quasi-stationary features trailing superluminalcomponents

    observed emission influenced by a number of effects (timedelays, Doppler boost, light abberation, opacity, Faraday rotation,...) and not a direct map of jet physical state

    comparisons with relativistic (magneto)hydrodynamics andemission simulations needed to understand the inner jet

    dynamics

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    Introduction Hydrodynamic model Non-thermal particles and emission Summary

    Modeling jet emission (1)

    Analytical models

    basis for the interpretation of observations: radiation coming from

    relativistic compact source (Blandford & Knigl 1979), observed spectrum

    due to non-thermal (synchrotron and inverse-Compton) emission (e.g.,

    Marscher 1980; Knigl 1981)

    apparent superluminal motions associated to travelling shock waves

    (Blandford & McKee 1976; Marscher & Gear 1985; Hughes, Aller & Aller 1985;

    Marsher & Travis 1992)

    Numerical kinematic models

    tests of jet hypothesis through detailed comparison with observations

    assume idealized jet models and integrate radiative transfer equations

    (e.g., Daly & Marscher 1988; Hugher, Aller & Aller 1989, 1991; Gmez, Alberdi &Marcaide 1993, 1994; Gmez et al. 1994)

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    Introduction Hydrodynamic model Non-thermal particles and emission Summary

    Modeling jet emission (2)

    Numerical hydrodynamic models

    modern high resolution R(M)HD schemes study jet properties underrealistic conditions (strong shocks, relativistic internal energy, relativistic

    bulk velocities, presence of magnetic field, ...)

    calculation of emission from hydrodynamic simulations (e.g. Gomez et al.

    1995, 1997; Duncan, Hughes & Opperman, Komissarov & Falle 1997), assumerelation between the thermal fluid and the loclal magnetic field,

    synchrotron emission and absorption, no transport or synchrotron losses

    Non-thermal particle transport

    spectral evolution and transport of non-thermal particles innon-relativistic plasmas (Jones, Ryu & Engel 1999; Micono et al. 1999;

    Tregillis, Jones & Ryu 2001; Casse & Marcowith 2003)

    relevant for multiband observations (e.g., optical to X-ray), where

    radiative losses may be important

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    Introduction Hydrodynamic model Non-thermal particles and emission Summary

    Motivation for our work

    goal: as consistenly as possible couple R(M)HD simulations toNTP transport, evolution and radiation

    ingredient 1: RMHD simulations

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    Introduction Hydrodynamic model Non-thermal particles and emission Summary

    Hydrodynamic model

    Introduction Hydrodynamic model Non thermal particles and emission Summary

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    Introduction Hydrodynamic model Non-thermal particles and emission Summary

    Building blocks

    based on models of Gomez et al. (1997) and Agudo et al. (2001)

    atmosphere (fills the whole domain)

    quiescent jet (radius Rb at the nozzle, underdense)

    velocity perturbation injected at the nozzle (generation ofhydrodynamic perturbations)

    Introduction Hydrodynamic model Non thermal particles and emission Summary

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    Introduction Hydrodynamic model Non-thermal particles and emission Summary

    Atmosphere

    the pressure in the atmosphere follows the law (Gomez et al. 1997)

    P(z) = Pa[1 + (z/zc)n]m/n

    atmosphere adiabatic, profile kept frozen via the extra forceadded to it

    this profile induces paraboloid shape of the jet

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    Introduction Hydrodynamic model Non thermal particles and emission Summary

    Jet parameters

    Pressure-matched jet (PM)

    b/a = 103

    Pb(z = 0) = Pb

    b = 4

    ideal gas EOS withad = 4/3

    Overpressured jet (OP)

    b/a = 103

    Pb(z = 0) = 1.5Pb

    b = 4

    ideal gas EOS withad = 4/3

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    Introduction Hydrodynamic model Non thermal particles and emission Summary

    Numerical hydrodynamics scheme

    RGENESIS (Mimica et al. 2004) was used for RHD simulations(conservative, Eulerian, Godunov-type, high-resolution shockcapturing scheme)

    cyllindrical symmetry with (10Rb 200Rb) domain in the (r z)plane

    8 numerical cells per Rb

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    y y p y

    Jets

    PM jet density

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    y y p y

    Jets

    PM jet Lorentz factor

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    Jets

    OP jet density

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    Jets

    OP jet Lorentz factor

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    Perturbation parameters

    duration: 0.75Rb/c

    p = 10

    p = b

    Pp = Pb

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    Evolution of the perturbation

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    Non-thermal particles and emission

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    Method overview

    Modules

    NTP transport and spectral evolution (SPEV)

    synchrotron emission and absorption

    radiative transfer

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    SPEV

    a large number of Lagrangian particles injected through the jet nozzle

    their energy losses are of the form

    dp

    dt= p

    3 + B(p,t)

    adiabatic and synhcrotron terms

    = D ln Dt

    ; B(p,t) = 4Tp2UB

    3m2ec2

    within a hydro time step we assume

    p dpdt

    = kap ksp2

    non-thermal particle evolution in momentum space is governed by theensemble-averaged Boltzmann equation (e.g.,Webb 1985; Miralles et al.

    1993; Kirk 1995)

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    SPEV

    discretization in momentum space ( p/mec) in Nb bins with interfaces

    i(t = 0) = min

    maxmin

    (i1)/Nb; i = 1, ..., Nb + 1

    evolution of interfaces

    i(t) = i(t0) eka(tt0)

    h1 + it0(e

    ka(tt0) 1)ks/kai1

    evolution of the differential number density at the interfaces

    n(t, i(t)) = n(t0, i(t0)) e2ka(tt0) h1 + it0(eka(tt0)

    1)ks/kai2

    evolution of the number density in each bin

    N(t, i(t), i+1(t)) =N(t0, i(t0), i+1(t0)) e3ka(tt0)

    in each bin n(t, ) = n(t, i(t)) [/i(t)]qi(t)

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    Synchrotron emission and radiative transfer

    j(t, ) and (t, ) computed numerically for each Lagrangianparticle, assuming randomly oriented magnetic field

    b =

    8P/B

    we compute images at several observational frequencies for anumber of instants in the observer time

    radiative transfer equation is solved for each element of eachimage

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    Parameters

    following Gomez et al. (1997), Agudo et al. (2001)

    NTP particle number N = cN/mp and energy density U= cUPchosen such that min 300 at the nozzle

    power-law index at injection p = 2.2

    fiducial model b = 0.02 G at the nozzle

    high-B model: b = 0.2 G at the nozzle

    viewing angle = 10

    thin emission at observing frequencies (15, 22 and 43 GHz)

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    Radio emission (fiducial)

    OP fiducial at 43 GHz

    SPEV

    adiabatic

    bright knots associated to cross (recollimation) shocks

    intensity decreasing with distance (jet opens)

    source optically thin at the core (actually first recollimation shock)

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    Radio emission (high-B)

    OP highB at 43 GHz

    SPEV

    adiabatic

    models with losses produce shorter jet

    relative variation in intensity larger in models with losses

    same hydro as previous slide, magnetic field still dynamicallyunimportant, but much shorter jet!

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    Particle evolution

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    Particle evolution

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    Particle evolution

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    Spectral properties

    0

    1

    2

    13

    15 GHz22 GHz43 GHz

    PM OP

    0 5 10 15 20 25

    zobs

    [Rb]

    0

    1

    2

    0 5 10 15 20 25

    zobs

    [Rb]

    PM

    -0,6

    -0,4

    -0,2

    0

    0,2

    13

    OP

    0 5 10 15 20 25

    zobs

    [Rb]

    0 5 10 15 20 25

    zobs

    [Rb]

    -2,5

    -2

    -1,5

    -1

    -0,5

    0

    13

    ave

    rage

    specific

    intensity

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    Quiescent emission

    losses-dominated and adiabatic regions (e.g. Marscher & Gear 1985)

    for the same background hydro, increase in the magnetic field,shortens the jet

    observed intensity constrast between shocked and unshocked jetregions increases with magnetic field

    flat optically thin spectrum at the nozzle

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    Fiducial model

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    High-B models

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    High-B models

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    Evolution of the component

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    Spectral evolution (1)

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    Spectral evolution (2)

    PM highB

    -1

    -0,5

    0

    0,5

    1

    -1

    -0,5

    0

    0,5

    1

    0 10 20

    zobs

    [Rb]

    -1

    -0,5

    0

    0,5

    1

    0 10 20

    zobs

    [Rb]

    0.02 y

    0.39 y

    0.75 y 4.58 y

    1.94 y

    1.12 y

    RGB:

    (IP(z) IQ(z))/max|Ip(z) IQ(z)|for 15, 22, and 43 GHz

    black:

    5(P13(z) Q13(z))/max|Q13(z)|main component clearly seen in all

    three frequencies

    spectral steepening behind intensity

    maximum, because NTPs cool faster

    than emiting volume light crossing

    time (e.g. Chiaberge & Ghisellini 1999)

    at 43 GHz features behing the localspectral index minimum (1.94 and 4.58years) identifiable with the trailing

    components (e.g. Agudo et al. 2001)

    observational imprint strongly

    frequency dependent

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    Spectral evolution (3)

    PM fiducial

    -1

    -0,5

    0

    0,5

    1

    -1

    -0,5

    0

    0,5

    1

    0 10 20

    zobs

    [Rb]

    -1

    -0,5

    00,5

    1

    0 10 20

    zobs

    [Rb]

    0.02 y

    0.39 y

    0.75 y 4.58 y

    1.94 y

    1.12 y

    OP fiducial

    -1

    -0,5

    0

    0,5

    1

    -1

    -0,5

    0

    0,5

    1

    0 10 20

    zobs

    [Rb]

    -1

    -0,5

    00,5

    1

    0 10 20

    zobs

    [Rb]

    0.02 y

    0.39 y

    0.75 y 4.58 y

    1.94 y

    1.12 y

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    Spacetime anaysis

    main component is superluminal,

    intermittent for OP model

    PM: trailing components with

    increasing apparent velocities(Agudo et al. 2001), associated to

    KH modes in the beam

    OP: trailing components due to

    non-linear interaction with

    standing shocks

    clear identification of trailings

    close to the nozzle only at 43 GHz

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    Summary

    numerical method

    SPEV, a new method for consistent calculation of transport, evolution andsynchrotron emission from non-thermal particles developed and validatedto do: injection at shocks, polarization, inverse Compton

    emission from pc scale jetquiescent jet emission: losses-dominated and adiabatic regimes, with knotsclose to nozzle brighter than if losses are ignoredeven dynamically negligible mag. field play a major role when going fromhydro to observationscomponent emission: with respect to the adiabatic models, superluminalcomponent appears brighter (dimmer) in the losses-dominated (adiabatic)

    regimeMimica et al. 2008, ApJ submitted, arXiv:0811.1143

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    Spectral properties (2)

    102

    103

    104

    105

    106

    10-5

    10-4

    10-3

    10-2

    10-1

    100

    n()

    R15

    (x)

    R43

    (x)

    n() R15

    (x)

    n() R43

    (x)

    jsyn() =

    3e3B

    4mec2 Zmax

    min

    d n0p R

    02

    (1p)/2

    Introduction Hydrodynamic model Non-thermal particles and emission Summary

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    Spectral properties (2)

    102

    103

    104

    105

    106

    10-5

    10-4

    10-3

    10-2

    10-1

    100

    n()

    R15

    (x)

    R43

    (x)

    n() R15

    (x)

    n() R43

    (x)

    jsyn() =

    3e3B

    4mec2

    Zmaxmin

    d n0p R

    02

    not (1p)/2