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