Modelling Pulsar Glitches with different Equations of StateName EoS in the core Composition in the...
Transcript of Modelling Pulsar Glitches with different Equations of StateName EoS in the core Composition in the...
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Modelling Pulsar Glitches with different
Equations of State
Ilaria Caiazzo University of British Columbia
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Pulsar Glitches
Espinoza et al.
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Superfluidity
• Long post-glitches relaxation times Observative proof for the presence of superfluidity inside NSs
• Pairing gap in cold nuclear matter ~ 1-2 MeV
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Superfluidity
Lounasmaa and Thuneberg
• Long post-glitches relaxation times Observative proof for the presence of superfluidity inside NSs
• Pairing gap in cold nuclear matter ~ 1-2 MeV
r⇥ vn = 0
Ipn · dl = hN(x, t)
2
each with vorticity =h
2mn
• a superfluid can rotate only by forming an array of quantized vortices
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Superfluidity
Chamel 2012
• Long post-glitches relaxation times Observative proof for the presence of superfluidity inside NSs
• Pairing gap in cold nuclear matter ~ 1-2 MeV
• a superfluid can rotate only by forming an array of quantized vortices
• Entrainment: a non dissipative drag arises when a superfluid is in contact with another fluid.
pn = mn[vn + ✏n(vp � vn)]
r⇥ vn = 0
each with vorticity =h
2mnI
pn · dl = hN(x, t)
2
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Superfluidity
• Long post-glitches relaxation times Observative proof for the presence of superfluidity inside NSs
• Pairing gap in cold nuclear matter ~ 1-2 MeV
• a superfluid can rotate only by forming an array of quantized vortices
• Entrainment: a non dissipative drag arises when a superfluid is in contact with another fluid.
pn = mn[vn + ✏n(vp � vn)]
r⇥ vn = 0
• Crustal pinning: due to the interaction between a vortex line and a nucleus there is a preferred position for the vortex interstitial or nuclear pinning
Seveso S.
The totality of the interactions between a vortex line and nuclei in the crustal lattice results in a potential well in which the vortex line is pinned
Ipn · dl = hN(x, t)
2
each with vorticity =h
2mn
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The two components model for glitches
‘Normal’ component: charged particles (core) and ion lattice (crust)
Superfluid component: neutrons (core) and dripped neutrons (crust)
• The normal component slows down (external electromagnetic torque)
• The neutron superfluid can slow down only if it expels a vortex
• Vortices are pinned a lag builds up among the two components
• When a critical lag is reached, vortices are set free. The stored angular momentum is transferred to the crust, causing a glitch.
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The Snowplow Model
Pierre Pizzochero Stefano Seveso Marco Antonelli
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The Snowplow Model
Assumptions:
• Vortex lines in the crust and the core are connected
• Vortex lines are straight
Antonelli et al.
Lombardo and Schulze
• No Hyperons, no quarks
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The Snowplow Model
TOTAL FORCE ON A VORTEX LINE
Antonelli et al.
Fpin(x)depends on how much of the vortex is immersed in the crust and then on the cylindrical radius
Pinning force: {
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The Snowplow Model
TOTAL FORCE ON A VORTEX LINE
Antonelli et al.
Fpin(x)depends on how much of the vortex is immersed in the crust and then on the cylindrical radius
Pinning force:
Magnus force:the vortex line is forced to rotate along with the crust
different angular velocity with respect to the fluid in which it’s immersed
a hydrodynamical lift proportional to the lag arises
FM (x, t) / �⌦(x, t)
{
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The Snowplow Model
CRITICAL LAGFM (x) = Fpin(x)The vortices within that cylindrical radius are depinned by the magnus force
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The Snowplow Model
CRITICAL LAGFM (x) = Fpin(x)The vortices within that cylindrical radius are depinned by the magnus force
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The Snowplow Model
CRITICAL LAGFM (x) = Fpin(x)The vortices within that cylindrical radius are depinned by the magnus force
0
0.05
0.1
0.15
0.2
0.25
0 2 4 6 8 10 12
[rad
/s]
x [km]
with entrainment ( = - ) without entrainment ( = n - )
With entrainment
Without entrainment
(same as before)
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The Snowplow ModelCritical lag first reached in the core Formation of a VORTEX SHEET which moves
towards the outer crust as the lag increases
Highlighted region: angular momentum that can be released to the crust if a glitch is triggered at a time t after the previous glitch
lag between the two components as the crust slows down:
�Lgl(t)
!(t) = |⌦̇c|t x
⇤(t)
position of the vortex sheet:
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The Snowplow Model
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The Snowplow Model
OBSERVED
FROM EOS + M FREE PARAMETERS
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Estimating masses with the snowplow model
Procedure:
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Fitting the masses
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Six equations of state: GM1, Sly, APR, DDHdelta, BSk20 e BSk21
EoS employed
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EoS employedName EoS in the core Composition in
the coreEoS in the crust Composition in
the crust
APR [1] Akmal et al. 1998
Zuo et al. 2004 AV18
Douchin and Haensel 2001
Consistent
APR [2] Akmal et al. 1998
Zuo et al. 2004 AV18 + TBF
Douchin and Haensel 2001
Consistent
Sly Douchin and Haensel 2001
Consistent Douchin and Haensel 2001
Consistent
BSk20 Fantina et al. 2013
Consistent Fantina et al. 2013
Consistent
BSk21 Fantina et al. 2013
Consistent Fantina et al. 2013
Consistent
DDHdelta [1] Gaitanos et al. 2004
Consistent Grill et al. 2014 Negele and Vautherin 1973
DDHdelta [2] Gaitanos et al. 2004
Consistent Grill et al. 2014 Baldo et al. 2008
DDHdelta [3] Gaitanos et al. 2004
Consistent Grill et al. 2014 Douchin and Haensel 2001
GM1 Glendenning and Moszkowski 1991
Consistent Douchin and Haensel 2001
Consistent
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Mass estimates for 3 EoSsMVela = 1.3 M⊙, with 3 equations of state: GM1, Sly and APR
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Mass estimate for 3 values of MVela
GM1 for 3 values of MVela : 1.3, 1.45 e 1.6 M⊙.
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The ‘maximum obtainable mass’ for Vela•
Vela’s cooling (Kaminker et al.) Realistic interval: 1.4 e 1.65 M⊙
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Conclusions
Perspectives• Extend the model trying to include bended vortices? Turbulence? Phase
transitions? • Parallel with hydrodynamical simulations. • More observations.
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Thank you!
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15 “glitchers”15 pulsars that have been seen glitching at least 5 times
• Frequent: 5-7 • Very frequent: > 12
Seveso S.
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Pulsar Timing
How to measure the period: • Observe the TOAs.
TOAs : Times Of Arrival of pulses at the
observatory
Manchester, R.N. and Taylor, J.H., Pulsars, Freeman, 1977
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Pulsar Timing
TOAs : Times Of Arrival of pulses at the
observatory
Manchester, R.N. and Taylor, J.H., Pulsars, Freeman, 1977
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Pulsar Timing
TOAs : Times Of Arrival of pulses at the
observatory
Manchester, R.N. and Taylor, J.H., Pulsars, Freeman, 1977
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Why studying glitches?
Demorest et al.
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The Snowplow Model
•
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Moment of inertia for slow rotationIn general relativity, the inertial frames inside a rotating fluid are not at rest with respect to the distant stars
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The Snowplow Model
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Microphysical inputsCompositions consistent with the EoSs.
Normal fraction in the core
Normal fraction in the crust
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Angular Momentum
0
1e+40
2e+40
3e+40
4e+40
5e+40
6e+40
7e+40
8e+40
0 2 4 6 8 10 12 14 16 18 20
ΔLgl
[g c
m2
s-1 ]
ω [10-3 rad/s]
Sly: M = 1.1Sly: M = 1.3Sly: M = 1.5Sly: M = 1.7Sly: M = 1.9
Sly: M = 2.05
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Pinning Force
Seveso et al 2014
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The Snowplow ModelPizzochero P. M., 2011, Astrophys. J. Lett. 743, L20. Seveso S., 2015, Ph.D. thesis, Università degli Studi di Milano Caiazzo I., 2015, Master thesis, Università degli Studi di Milano
Seveso S.
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Confronto con i risultati di Seveso
GM1 , MVela = 1.3 M⊙
Sly , MVela = 1.3 M⊙