Blending-induced beating and emission in the symbiotic star Terz V 2513
J. Merc, J. Mikołajewska, C. Gałan, K. Iłkiewicz, P. G. Beck, B. Monard, M. Gromadzki
TL;DR
Terz V 2513’s apparent light-curve beating arises from blending with a nearby Mira rather than intrinsic multi-periodicity. By combining Gaia DR3 and OGLE-IV photometry with high-resolution imaging and optical/IR spectroscopy (SALT and NTT), the authors disentangle the two sources and identify the true symbiotic counterpart as Gaia DR3 4061345440488592896, a Mira with a pulsation period of $P=161$ days. The infrared spectrum of this star exhibits emission lines and CO features consistent with other symbiotic Miras, and the system is likely a post-nova symbiotic, akin to the symbiotic nova V5590 Sgr. This study illustrates the importance of careful crowded-field analysis and demonstrates how multi-wavelength data fusion can correct misidentifications, improving the classification and understanding of variable stars in dense fields.
Abstract
We present a detailed analysis of Terz V 2513 (=2MASS J17334728-2719266), a poorly studied symbiotic star. Our motivation was a peculiar beating pattern in its light curves from all-sky surveys and our own observations. Using \textit{Gaia} DR3 and OGLE-IV photometry, we show that this variability arises from blending with a nearby, unrelated Mira variable (\textit{Gaia} DR3 406134544052580377 = OGLE-BLG-LPV-241930). Analysis of VPHAS+ and Pan-STARRS imaging, combined with optical and infrared spectroscopy from the Southern African Large Telescope and ESO New Technology Telescope, further reveals that the symbiotic star has been misidentified in the literature. We identify the correct counterpart as \textit{Gaia} DR3 4061345440488592896 (=OGLE-BLG-LPV-241932), a Mira with a 161-day period. Its infrared spectrum displays prominent emission lines and is remarkably similar to those of other symbiotic Miras. Based on our data and previous studies, Terz V 2513 likely experienced a symbiotic nova outburst in the past. This study highlights the importance of careful analysis of survey light curves in crowded fields and demonstrates how combining multi-wavelength photometry, spectroscopy, and high-precision \textit{Gaia} data can disentangle blended sources and accurately determine their nature.
