the twisted jets of circinus x-1 · the twisted jets of circinus x-1 mickael coriat rob fender,...
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The twisted jets of Circinus X-1
Mickael Coriat
Rob Fender, Cyril Tasse, Oleg Smirnov, Tasso Tzioumis, Jess Broderick
Journées SF2A 2018
Circinus X-1
• Neutron star X-ray binary
• Orbital period ~ 16.5 days
• High eccentricity e~0.45
• Distance ~ 9 kpc
• Powerful jet emitter
• Complex accretion/ejection activity
Armstrong et al. 2013
40 years radio and X-ray light curves
~ 8 arcmin
The youngest X-ray binary
Heinz et al. 2013, 2015
tSNR ~ 3000 years
Jet structure and orientation?
Calvelo et al. 2012
Miller-Jones et al. 2012
VLBI
• Variable jet axis
• Problems with intrinsic variability
• Precession?
• Jets/nebula interaction?
• Sparse coverage
Multi-frequency ATCA observations
• 3 consecutive days in “quiescent” phase
• 2GHz, 5GHz, 9GHz, 35GHz (7mm)
• 6 antennas East-West array in extended config.
observations
8mm dataset
Standard self-calibration
5GHz dataset
• Standard calibration methods failed… • Source likely variable… • Started working with Oleg Smirnov.
Oleg Smirnov
Differential gain calibration
Vpq = GpXpqGH
q
Sky model visibilities
Global gains (direction independent effects)
Measured visibilities
Differential gains
Vpq = Gp
��EX0 �EH +Xrest
�GH
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CirX-1 Rest of the sky
Jets
Core
Calibration using differential gains algorithm (MeqTrees)
5GHz dataset
Recovered “intrinsic” variability of the core
2GHz dataset
~1º
Standard (direction independent) self-calibration
Cyril TasseOleg Smirnov
Direction dependent calibration using Wirtinger Jacobian
(Tasse et al. 2014, Smirnov & Tasse 2015)
Direction dependent faceting imager
killMS DDFacet(Tasse et al. 2018)
Divide and Conquer
• Divide the sky in 7 regions • Compute antenna-time-
frequency dependent gain corrections for each region
• Apply corrections • Image using sub-space
deconvolution and genetic algorithm
• Improve sky model and iterate again
Direction dependent self-calibration
2GHz dataset
Direction independent self-calibration
2GHz dataset
Direction dependent self-calibration
Combined datasets
Precessing jet model
Model parameters:
• 3 angles • Precession period and phase • Velocity • Distance • 3 “signs”
Compute proper motions of ejecta over a range of time
Precessing jet modeling
S = ⌥(�, i) +X
i
"(�↵i ��↵modi)
2
�2↵i
+(��i ���modi)
2
�2�i
#
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Objective function:
+ Global optimisation algorithm
Sanity check
Precessing jet modelBackward sanity check
Miller-Jones et al. 2012
1.5 yrs prior to our observations:
- VLBI observations at mas scale
- Model predicts jet angle of 105.2°
- Observed jet angle: 112 +/- 1.5°Predicted jet angle
Jet angle at the time we observed
Conclusions
The bunny is still alive
Thank you
Fν ∝ ν-0.99
Core spectrum