AMI-LA 15.5 GHz detection of MAXI J1910-057/Swift J1910.2-0546
ATel #15219; David Williams (JBCA/Manchester), Sara Motta (INAF), Lauren Rhodes (Oxford), Rob Fender (Oxford), Arash Bahramian (ICRAR), Dave Green (Cambridge), David Titterington (Cambridge), Greg Sivakoff (Alberta)
on 10 Feb 2022; 17:35 UT
Distributed as an Instant Email Notice Transients
Credential Certification: Sara Elisa Motta (sara.motta@physics.ox.ac.uk)
Subjects: Radio, X-ray, Binary, Transient
Following initial reports of activity from the candidate black hole MAXI J1910-057/Swift J1910.2-0546 on the MAXI Novae alerts page (http://maxi.riken.jp/alert/novae/9614527285/9614527285.htm) and later confirmed in ATel #15214 (Tominaga et al. 2022), we observed with the Arcminute Microkelvin Imager Large Array (AMI-LA; Zwart et al. 2008; Hickish et al. 2018). AMI-LA observes at 15.5 GHz and has a 5 GHz bandwidth.
Observations commenced on 2022-02-07 09:03:53UT (MJD 59617.377), 2022-02-09 09:51:53UT (MJD 59619.411) and 2022-02-10 09:02:05 (MJD 59620.376), running for approximately 3, 2 and 2.75 hours, respectively. The custom pipeline, REDUCE_DC (Perrott et al. 2015) was used to calibrate the data, using 3C286 as the flux calibrator. The target was observed for 600s-long scans, interleaved with 100s-long scans of the phase calibrator J1851+0035.
We detect MAXI J1910-057 in all three observations, and find a preliminary source integrated flux of 4.1+/-0.6, 7.0+/-0.8 and 9.0+/-1.0 mJy, for the observation on the 7th, 9th and 10th February, respectively. The image noise levels were 0.33, 0.52 and 0.73 mJy/beam, respectively. The flux uncertainties include a conservative 10% calibration error, folded in quadrature. These measurements indicate that the radio source associated with MAXI J1910-057 is rapidly brightening and continued multi-band monitoring is encouraged.
Continued monitoring of this source will be undertaken with AMI, and we have requested e-MERLIN and MeerKAT observations. We would like to thank the MRAO staff for carrying out these observations. AMI-LA is supported by the Universities of Cambridge and Oxford, and acknowledges support from the European Research Council under grant ERC-2012-StG-307215 LODESTONE.
