Pulsar Ages and the Evolution of Pulsar Spin–Velocity...
Transcript of Pulsar Ages and the Evolution of Pulsar Spin–Velocity...
Pulsar Ages and the Evolution of Pulsar Spin–Velocity Alignment
Aristeidis NoutsosMichael KramerSimon Johnston
Dominic SchnitzelerEvan Keane
NS2012b Bonn, 22 October
Ψ
v⊥S±90º
Ψ
v⊥S±90º
Ψ
v⊥S±90º
Previously on Pulsar Spin–Velocity Alignment …
0.3
0.2
0.1
0
N
! (deg)10 20 30 40
KS probability of rejecting uniformity = 99.8%
Ψ
v⊥S±90º
…PSR 1 2 3
4
54 PSRs
S from pulsar polarisation data
v⊥ from pulsar timing / VLBI
Noutsos et al. (2012), MNRAS
uniformity
•• We used the polarisation and proper motion data of 54 pulsars to study the distribution of Ψ, the angle between S±90º and v⊥
•• We rejected that the orientations of pulsar spins and velocities are uncorrelated, with 99.8% probability
Chapter 2: Spin–Velocity Alignment with Pulsar Age
!""
"
!""
!#"""
!"#"""
!#""" !"#""" !""#"""!""#$%&'
pKS = 0.694 –0.352
+0.196
Npsr = 4
pKS = 0.879 –0.246
+0.091
Npsr = 10
pKS = 0.898 –0.212
+0.077
Npsr = 32
pKS = 0.979 –0.054
+0.016
Npsr = 12
0.5
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00 10 20
! (deg)30 40
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! (deg)30 40
!""#$%&'
pKS = 0.938 –0.159
+0.049
Npsr = 14
pKS = 0.969 –0.094
+0.025
Npsr = 42
pKS = 0.991 –0.033
+0.008
Npsr = 44
pKS = 0.997 –0.013
+0.003
Npsr = 54
pKS = 0.982 –0.061
+0.015
Npsr = 46
pKS = 0.998 –0.008
+0.002
Npsr = 58
0.5
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0
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! (deg)30 40
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! (deg)30 40
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! (deg)30 40
We examined the degree of spin–velocity alignment for subsets of pulsars grouped according to characteristic age
Chapter 2: Spin–Velocity Alignment with Pulsar Age
!""
"
!""
!#"""
!"#"""
!#""" !"#""" !""#"""!""#$%&'
pKS = 0.694 –0.352
+0.196
Npsr = 4
pKS = 0.879 –0.246
+0.091
Npsr = 10
pKS = 0.898 –0.212
+0.077
Npsr = 32
pKS = 0.979 –0.054
+0.016
Npsr = 12
0.5
0.4
0.3
0.2
0.1
00 10 20
! (deg)30 40
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0
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! (deg)30 40
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! (deg)30 40
0.5
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0.3
0.2
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0
0 10 20
! (deg)30 40
!""#$%&'
pKS = 0.938 –0.159
+0.049
Npsr = 14
pKS = 0.969 –0.094
+0.025
Npsr = 42
pKS = 0.991 –0.033
+0.008
Npsr = 44
pKS = 0.997 –0.013
+0.003
Npsr = 54
pKS = 0.982 –0.061
+0.015
Npsr = 46
pKS = 0.998 –0.008
+0.002
Npsr = 58
0.5
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0.2
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0
0 10 20
! (deg)30 40
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! (deg)30 40
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! (deg)30 40
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! (deg)30 40
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0 10 20
! (deg)30 40
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0.4
0.3
0.2
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0 10 20
! (deg)30 40
We examined the degree of spin–velocity alignment for subsets of pulsars grouped according to characteristic age
Chapter 2: Spin–Velocity Alignment with Pulsar Age
The probability of rejecting that S–v are uncorrelated remains constant (within errors) across all pulsar characteristic ages
!"#$%&'
! ()
~ tdyn
0 100 1,000 10,000 100,000
0.2
0.4
0.6
0.8
1
This is surprising since we expect the Galactic potential to significantly alter pulsar velocities on a dynamical timescale of
–4
–2
0
2
4
–20 –15 –10 –5 0 5
!!"!#$!%&'
(!)*+,-
"!)*+,-
!
!
"
"!
#$%
tdyn =�
GMMW
πR2MWδh
�−1/2
∼ 10 Myr
50-Myr pulsar trajectory in the Galactic potential
… and wash out any S–v correlation
But this is not what we see based on the above analysis
Pulsar Ages
The characteristic ages of pulsars are known to be unreliable*
ttrue ~ 30 kyrτc ~ 600 kyr
PSR J0538+2817
t – 20 kyr
t – 40 kyrt – 60 kyrSNR
centre
S147
Ng et al. (2007)
P = −KP 2−n ⇒ ttrue =P
(n− 1)P
�1−
�P0
P
�n−1�
* They are calculated assuming:
K ∝ (B sinα)2 = const.
P0 = 0
n = 3
(i) The pulsar was born spinning infinitely fast
(ii) The pulsar spins down by converting rotational energy to purely magnetic-dipole radiation
(iii) The pulsar maintains a constant magnetic field
Either or all of these assumptions are likely wrong for most pulsars. E.g. PSR J0538+2817 was born with
P0 ≈ 138 ms (≈ P )and is 10x younger than τc.
The distance and outward proper motion of PSR J0538+2817 from the centre of S147 imply a true age of 30–40 kyr
τc =P
2P
Pulsar Kinematic AgesAlternatively, one can estimate pulsar ages independently of a spin-down model, based on the kinematic properties of individual pulsars, assuming pulsars are born close to the Galactic plane
-8 -6 -4 -2 0 2 4 6-1 0
1 2
3 4
5 6
-0.4-0.3-0.2-0.1
0 0.1 0.2 0.3 0.4
!"#$%&'
("#$%&'
)"#$%&'
*+
!!","-."/(0!","12"/(0
Pulsar Kinematic AgesWe integrated the equations of motion for 52 pulsars, assuming they are moving through the Galactic potential of Paczynski (1990) and using their present proper motions and locations (μl, μb, l, b, d)
zbirth
+100 pc
–100 pc
Δt = tkin
0 t0
t1
vbirth
v1
!"#$%&'()*'+,-.
Hobbs et al. (2005)
Arzoumanian et al. (2002)
we weighted the unknown vr using the distribution of vbirth
0 0.1– 0.1z (kpc)
nOB = n0 e−|z|/hOB
we weighted the unknown birth height using the distribution of OB stars (Reed 2000)
+
For each pulsar, we explored finite ranges of the unknown vr and zbirth :
vr = [–500, +500] km s–1
zbirth = [-100,+100] pc
H(vbirth)
R(zbirth)
Pulsar Kinematic Ages
The probability distribution of tkin comes from marginalising the joint probability of ℌ(vbirth) and ℜ(zbirth) over all vbirth and zbirth :
most probable kinematic age
characteristic age
p(tkin) =� ∞
0
� +100 pc
−100 pcL(vbirth, tkin)× H(vbirth)×R(zbirth)×H(τ1 − tkin)dvbirthdzbirth
τ1 = 2τc ln(P
1 ms)
(integration limit)
68% C
L
~35% of the pulsars produced more than 1 intersection with the Galactic plane and p(tkin) was complex
J0922+0638
0.005
0.01
0.015
0.02
0.002
0.004
0.006
0.008
0.1 1 10 100 1 10 100 0.01 0.1 1 10 100
0.005
0.01
0.015
p (t ki
n)
J1136+1551J0837+0610
tkin / !c
0.005
0.01
0.015
0.02
p (t ki
n)
0.1 1 10 100tkin / !c
?
Spin–Velocity Alignment with Pulsar Age … Redux
•• We have produced a data set of 52 kinematic ages
•• This is the largest number of pulsar ages, estimated independently of a spin-down model
•• We have used the 33 most reliable estimates to examine again the degree of spin–velocity alignment as a function of pulsar age
Spin–Velocity Alignment with Pulsar Age … Redux
•• We have use the 33 most reliable estimates to examine again the degree of spin–velocity alignment as a function of pulsar age
!""
"
!""
!#"""
!"#"""
!#""" !"#""" !""#"""
!"#$%&%''!($)''*(+,-
!$)$%&%''!($)''*(+,-
pKS = 0.935 –0.153
+0.050
Npsr = 11
pKS = 0.956 –0.101
+0.033
Npsr = 30
pKS = 0.937 –0.134
+0.047
Npsr = 33
pKS = 0.791 –0.267
+0.098
Npsr = 19
pKS = 0.726 –0.324
+0.174
Npsr = 22
pKS = 0.335 –0.228
+0.242
Npsr = 3
0.5
0.4
0.3
0.2
0.1
0
0 10 20
! (deg)30 40
0.5
0.4
0.3
0.2
0.1
00 10 20
! (deg)30 40
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0
0 10 20
! (deg)30 40
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0
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! (deg)30 40
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0 10 20
! (deg)30 40
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0
0 10 20
! (deg)30 40
0 10 20 30 40
0.5
0.4
0.3
0.2
0.1
0
! (deg)
pKS = 0.935 –0.153
+0.050
Npsr = 11
0.5
0.4
0.3
0.2
0.1
0
0 10 20
! (deg)30 40
pKS = 0.956 –0.101
+0.033
Npsr = 30
0.5
0.4
0.3
0.2
0.1
0
0 10 20
! (deg)30 40
pKS = 0.937 –0.134
+0.047
Npsr = 33
0.5
0.4
0.3
0.2
0.1
0
0 10 20
! (deg)30 40
pKS = 0.936 –0.162
+0.050
Npsr = 4
Vela (~20 kyr)
Crab (~1 kyr)
PSR B1952+32 (~51 kyr)
PSR J0538+2817 (~30 kyr)
Spin–Velocity Alignment with Pulsar Age … Redux
•• We have use the 33 most reliable estimates to examine again the degree of spin–velocity alignment as a function of pulsar age
!""
"
!""
!#"""
!"#"""
!#""" !"#""" !""#"""
!"#$%&%''!($)''*(+,-
!$)$%&%''!($)''*(+,-
pKS = 0.935 –0.153
+0.050
Npsr = 11
pKS = 0.956 –0.101
+0.033
Npsr = 30
pKS = 0.937 –0.134
+0.047
Npsr = 33
pKS = 0.791 –0.267
+0.098
Npsr = 19
pKS = 0.726 –0.324
+0.174
Npsr = 22
pKS = 0.335 –0.228
+0.242
Npsr = 3
0.5
0.4
0.3
0.2
0.1
0
0 10 20
! (deg)30 40
0.5
0.4
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0.2
0.1
00 10 20
! (deg)30 40
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! (deg)30 40
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! (deg)30 40
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! (deg)30 40
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0
0 10 20
! (deg)30 40
0 10 20 30 40
0.5
0.4
0.3
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0.1
0
! (deg)
pKS = 0.935 –0.153
+0.050
Npsr = 11
0.5
0.4
0.3
0.2
0.1
0
0 10 20
! (deg)30 40
pKS = 0.956 –0.101
+0.033
Npsr = 30
0.5
0.4
0.3
0.2
0.1
0
0 10 20
! (deg)30 40
pKS = 0.937 –0.134
+0.047
Npsr = 33
0.5
0.4
0.3
0.2
0.1
0
0 10 20
! (deg)30 40
pKS = 0.936 –0.162
+0.050
Npsr = 4
Vela (~20 kyr)
Crab (~1 kyr)
PSR B1952+32 (~51 kyr)
PSR J0538+2817 (~30 kyr)
Spin–Velocity Alignment with Pulsar Age … Redux
!!"#$%!&'(
" )*
~ tdyn
10 100 1,000 10,000 100,000
0.2
0.4
0.6
0.8
1
Now, the probability of rejecting uniformity shows a clear downwards trend
For pulsars with tkin > tdyn , uniformity is not rejected
Our results suggest that if we use the more reliable kinematic ages instead of the characteristic ages for our sample of pulsars, then
•• Young pulsars (≲1 Myr) maintain a strong correlation (pKS ~ 95%) between their spin and velocity orientations
•• Beyond tkin~1 Myr the correlation weakens and it completely disappears for tkin ≳10 Myr
Kinematic Ages as Probes of Pulsar EvolutionThe derived kinematic ages can serve as an estimate of the pulsars true age:
n = 1 + 2τc
tkin
�1−
�P0
P
�n−1�
ttrue ≡ tkin
Hence, we can used them to test the standard assumptions of magnetic-dipole braking and infinitesimal birth periods
0.05 0.1
0.15 0.2
0.25 0.3
0.35
0.05 0.1
0.15 0.2
0.25 0.3
0.35
0.05 0.1
0.15 0.2
0.25 0.3
0.35
0.05 0.1
0.15 0.2
0.25 0.3
0.35
0 –1 1 2 3 4 5 6 7 8 9n
P0 / P = 0
P0 / P = 0.01
P0 / P = 0.1
P0 / P = 0.5
21%29%
25%29%5%
21%18%16%
9%10%12%
P0
P0/P = 0
P0/P = 0.01
P0/P = 0.1
P0/P = 0.5
n
33 pulsars
P0,3 (ms)
p KS
0
0.2
0.4
0.6
0.8
1
0 250 500 750 1000 1250
p(P 0
) [x1
0–3]
0.5
1.0
1.5
2.5
2.0P0, 3 = 63 ms
+728–35
^
Popov & Turolla (2012)
(a)
(b)
P0 = P
�1−
�n− 1
2
�tkin
τc
� 1n−1
n=3−→ P0,3 = P
�1− tkin
τc
27 pulsars
By comparing tkin with τc , we can express the braking index as a function of P0 and vice versa
Epilogue
Epilogue•• If we take pulsar characteristic ages at face value, spin–velocity alignment does not become weaker with increasing age
Epilogue•• If we take pulsar characteristic ages at face value, spin–velocity alignment does not become weaker with increasing age
! this is the opposite of what is expected for pulsars travelling through the Galactic potential
Epilogue•• If we take pulsar characteristic ages at face value, spin–velocity alignment does not become weaker with increasing age
! this is the opposite of what is expected for pulsars travelling through the Galactic potential
•• We have estimated 52 pulsar kinematic ages, independently of any spin-down model assumptions, by calculating the travel time between their birth places near the Galactic plane and their present locations.
Epilogue•• If we take pulsar characteristic ages at face value, spin–velocity alignment does not become weaker with increasing age
! this is the opposite of what is expected for pulsars travelling through the Galactic potential
•• We have estimated 52 pulsar kinematic ages, independently of any spin-down model assumptions, by calculating the travel time between their birth places near the Galactic plane and their present locations.
! this is the largest sample of independently estimated pulsar ages
Epilogue•• If we take pulsar characteristic ages at face value, spin–velocity alignment does not become weaker with increasing age
! this is the opposite of what is expected for pulsars travelling through the Galactic potential
•• We have estimated 52 pulsar kinematic ages, independently of any spin-down model assumptions, by calculating the travel time between their birth places near the Galactic plane and their present locations.
! this is the largest sample of independently estimated pulsar ages
•• If we use the kinematic ages to study the evolution of spin–velocity alignment, we see a clear de-correlation between the spin and velocity orientations for ages > 10 Myr
Epilogue•• If we take pulsar characteristic ages at face value, spin–velocity alignment does not become weaker with increasing age
! this is the opposite of what is expected for pulsars travelling through the Galactic potential
•• We have estimated 52 pulsar kinematic ages, independently of any spin-down model assumptions, by calculating the travel time between their birth places near the Galactic plane and their present locations.
! this is the largest sample of independently estimated pulsar ages
•• If we use the kinematic ages to study the evolution of spin–velocity alignment, we see a clear de-correlation between the spin and velocity orientations for ages > 10 Myr
! this the expected for the Milky Way, with the above virialisation time scale
Epilogue•• If we take pulsar characteristic ages at face value, spin–velocity alignment does not become weaker with increasing age
! this is the opposite of what is expected for pulsars travelling through the Galactic potential
•• We have estimated 52 pulsar kinematic ages, independently of any spin-down model assumptions, by calculating the travel time between their birth places near the Galactic plane and their present locations.
! this is the largest sample of independently estimated pulsar ages
•• If we use the kinematic ages to study the evolution of spin–velocity alignment, we see a clear de-correlation between the spin and velocity orientations for ages > 10 Myr
! this the expected for the Milky Way, with the above virialisation time scale
•• Kinematic ages are potentially a powerful probe of pulsar evolution:
Epilogue•• If we take pulsar characteristic ages at face value, spin–velocity alignment does not become weaker with increasing age
! this is the opposite of what is expected for pulsars travelling through the Galactic potential
•• We have estimated 52 pulsar kinematic ages, independently of any spin-down model assumptions, by calculating the travel time between their birth places near the Galactic plane and their present locations.
! this is the largest sample of independently estimated pulsar ages
•• If we use the kinematic ages to study the evolution of spin–velocity alignment, we see a clear de-correlation between the spin and velocity orientations for ages > 10 Myr
! this the expected for the Milky Way, with the above virialisation time scale
•• Kinematic ages are potentially a powerful probe of pulsar evolution:
Using the tkin/τc ratios, we examined
Epilogue•• If we take pulsar characteristic ages at face value, spin–velocity alignment does not become weaker with increasing age
! this is the opposite of what is expected for pulsars travelling through the Galactic potential
•• We have estimated 52 pulsar kinematic ages, independently of any spin-down model assumptions, by calculating the travel time between their birth places near the Galactic plane and their present locations.
! this is the largest sample of independently estimated pulsar ages
•• If we use the kinematic ages to study the evolution of spin–velocity alignment, we see a clear de-correlation between the spin and velocity orientations for ages > 10 Myr
! this the expected for the Milky Way, with the above virialisation time scale
•• Kinematic ages are potentially a powerful probe of pulsar evolution:
Using the tkin/τc ratios, we examined‣ the distribution of braking indices for our sample, for different P0
Epilogue•• If we take pulsar characteristic ages at face value, spin–velocity alignment does not become weaker with increasing age
! this is the opposite of what is expected for pulsars travelling through the Galactic potential
•• We have estimated 52 pulsar kinematic ages, independently of any spin-down model assumptions, by calculating the travel time between their birth places near the Galactic plane and their present locations.
! this is the largest sample of independently estimated pulsar ages
•• If we use the kinematic ages to study the evolution of spin–velocity alignment, we see a clear de-correlation between the spin and velocity orientations for ages > 10 Myr
! this the expected for the Milky Way, with the above virialisation time scale
•• Kinematic ages are potentially a powerful probe of pulsar evolution:
Using the tkin/τc ratios, we examined‣ the distribution of braking indices for our sample, for different P0
‣ the distribution of P0, assuming magnetic-dipole braking (n = 3)
Epilogue•• If we take pulsar characteristic ages at face value, spin–velocity alignment does not become weaker with increasing age
! this is the opposite of what is expected for pulsars travelling through the Galactic potential
•• We have estimated 52 pulsar kinematic ages, independently of any spin-down model assumptions, by calculating the travel time between their birth places near the Galactic plane and their present locations.
! this is the largest sample of independently estimated pulsar ages
•• If we use the kinematic ages to study the evolution of spin–velocity alignment, we see a clear de-correlation between the spin and velocity orientations for ages > 10 Myr
! this the expected for the Milky Way, with the above virialisation time scale
•• Kinematic ages are potentially a powerful probe of pulsar evolution:
Using the tkin/τc ratios, we examined‣ the distribution of braking indices for our sample, for different P0
‣ the distribution of P0, assuming magnetic-dipole braking (n = 3)
‣ the dependence of spin–velocity alignment on P0
Epilogue•• If we take pulsar characteristic ages at face value, spin–velocity alignment does not become weaker with increasing age
! this is the opposite of what is expected for pulsars travelling through the Galactic potential
•• We have estimated 52 pulsar kinematic ages, independently of any spin-down model assumptions, by calculating the travel time between their birth places near the Galactic plane and their present locations.
! this is the largest sample of independently estimated pulsar ages
•• If we use the kinematic ages to study the evolution of spin–velocity alignment, we see a clear de-correlation between the spin and velocity orientations for ages > 10 Myr
! this the expected for the Milky Way, with the above virialisation time scale
•• Kinematic ages are potentially a powerful probe of pulsar evolution:
Using the tkin/τc ratios, we examined‣ the distribution of braking indices for our sample, for different P0
‣ the distribution of P0, assuming magnetic-dipole braking (n = 3)
‣ the dependence of spin–velocity alignment on P0
•• The observed preference for n = 1 is an artefact of assuming P0 = 0; relaxing this assumption yields a more uniform distribution of n
Epilogue•• If we take pulsar characteristic ages at face value, spin–velocity alignment does not become weaker with increasing age
! this is the opposite of what is expected for pulsars travelling through the Galactic potential
•• We have estimated 52 pulsar kinematic ages, independently of any spin-down model assumptions, by calculating the travel time between their birth places near the Galactic plane and their present locations.
! this is the largest sample of independently estimated pulsar ages
•• If we use the kinematic ages to study the evolution of spin–velocity alignment, we see a clear de-correlation between the spin and velocity orientations for ages > 10 Myr
! this the expected for the Milky Way, with the above virialisation time scale
•• Kinematic ages are potentially a powerful probe of pulsar evolution:
Using the tkin/τc ratios, we examined‣ the distribution of braking indices for our sample, for different P0
‣ the distribution of P0, assuming magnetic-dipole braking (n = 3)
‣ the dependence of spin–velocity alignment on P0
•• The observed preference for n = 1 is an artefact of assuming P0 = 0; relaxing this assumption yields a more uniform distribution of n
•• The predictions of SN-kick models favouring alignment for short P0 need to be tested with more data
Coming Soon …
Path of Pulsar B0950+08
-60
-40
-20
Y (m
as)
0
20
-30 -20 -10 0X (mas)
10 20 30
1998.331
1998.874
1999.373
1999.855
ModelData
VLBA pulsar astrometry (PSR π, eΠ) Pulsar absolute polarisation data
(Effelsberg, Parkes, LOFAR, etc.)
100s more spin–velocity orientations will allow for a better statistics and hence a better understanding of the process of spin–velocity alignment
We are currently using our method for calculating pulsar kinematic ages with the 233 pulsar proper motions from Hobbs et al. (2005) as well as other measurements from the literature (MSc degree, Oliver Lux)
+
Don’t miss!