Tracking Galaxy Evolution Through Low-Frequency Radio Continuum Observations using SKA and Citizen-Science Research using Multi-Wavelength Data
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We present a brief review of progress in the understanding of general spiral and elliptical galaxies, through merger, star formation and AGN activities. With reference to case studies performed with the GMRT, we highlight the unique aspects of studying galaxies in the radio wavelengths where powerful quasars and bright radio galaxies are traditionally the dominating subjects. Though AGN or quasar activity is extremely energetic, it is extremely short-lived. This justify focussing on transitional galaxies to find relic-evidences of the immediate past AGN-feedback which decide the future course of evolution of a galaxy. Relic radio lobes can be best detected in low frequency observations with the GMRT, LOFAR and in future SKA. The age of these relic radio plasma can be as old as a few hundred Myr. There is a huge gap between this and what is found in optical bands. The very first relic-evidences of a past quasar activity (Hanny’s Voorwerp) was discovered in 2007 by a Galaxy Zoo citizen-scientist, a school teacher, in the optical bands. This relic is around a few tens of thousand years old. More discoveries needed to match these time-scales with star formation time-scales in AGN host galaxies to better understand black hole galaxy co-evolution process via feedback-driven quenching of star formation. It is now well-accepted that discovery and characterization of such faint fuzzy relic features can be more efficiently done by human eye than a machine. Radio interferometry images are more complicated than optical and need the citizen-scientists to be trained. RAD@home, the only Indian citizen-science research project in astronomy, analysing TIFR GMRT Sky Survey (TGSS) 150 MHz data and observing from the Giant Meterwave Radio Telescope (GMRT), was launched in April 2013. Unique, zero-infrastructure zero-funded design of RAD@home as a collaboratory of 69 trained e-astronomers is briefly described. Some of the new-found objects like episodic radio galaxies, radio-jet and companion galaxy interaction, radio galaxy bent by motion of the intra-filament medium in a Mpc-scale galaxy filament etc. are briefly presented as demonstration of its potential. Citizen-science has not only opened up a new way for astronomy research but also possibly the only promising way to extract maximum science out of the Big Data in the SKA-era. This possibly can convert the Big Data problem into a prospect. Citizen-science can contribute to the knowledge creation in never-seen-before speed and in approach. As it is based on internet, it can provide an equal opportunity of academic-growth to people even in the under-developed regions where we always need to put our optical and radio telescopes. This can liberate the research-activity of city-based research-institutes out of the four brick walls and alleviate various socio-economic and geo-political constraints on growth of citizens educated in undergraduate-level science but located in remote areas.
KeywordsGalaxies: active galaxies: evolution galaxies: individual: Speca galaxies: individual: NGC 3801 galaxies: individual: NGC 1482 galaxies: individual: NGC 6764 galaxies: jets galaxies: stellar content observations amateur astronomy crowd-sourcing citizen-science.
- Baum, S. A., O’Dea, C. P., Dallacassa, D, de Bruyn, A. G. Pedlar, A. 1993, ApJ, 419, 553.Google Scholar
- Becker, R. H., White, R. L. Helfand, D. J. 1995, ApJ, 450, 559.Google Scholar
- Brocksopp, C., Kaiser, C. R., Schoenmakers, A. P. de Bruyn, A. G. 2007, MNRAS, 382, 1019.Google Scholar
- Carilli, C. L., Holdaway, M. A., Ho, P. T. P. de Pree, C. G. 1992, ApJ, 399L, 59.Google Scholar
- Croft, S., van Breugel, W., de Vries, W. et al. 2006, ApJ, 647, 1040.Google Scholar
- Hota, A., Lim, J., Ohyama, Y., Saikia, D. J., Dihn-v-Trung Croston, J. H. 2009, in ASP Conf. Ser. Vol. 407, edited by D. J. Saikia, D. A. Green, Y. Gupta and T. Venturi, The Low-Frequency Radio Universe. Astron. Soc. Pac., San Francisco, p. 104.Google Scholar
- Hota, A., Espada, D., Matsushita, S., Sergio, M., Kotaro, K., Soo-Chang, R., Koichiro, N. et al. 2016, (in preparation).Google Scholar
- Intema, H. T., Jagannathan, P., Mooley, K. P. Frail, D. A. 2016, A&A,. http://adsabs.harvard.edu/abs/2016arXiv160304368I.
- Keel, W. C., Chojnowski, S. D., Bennert, V. N. et al. 2012a, MNRAS, 420, 878.Google Scholar
- Keel, W. C., Lintott, C. J., Schawinski, K. et al. 2012b, AJ, 144, 66.Google Scholar
- Kotilainen, J. K., Leon, T. J., Olguin-Iglesias, A. et al. 2016, ApJ,. http://adsabs.harvard.edu/abs/2016arXiv160902417K.
- Lintott, C. J., Schawinski, K., Keel, W., van Arkel, H. et al. 2009, MNRAS, 399, 129.Google Scholar
- Nesvadba, N. P. H., Lehnert, M. D., De Breuck, C., Gilbert, A. M. van Breugel, W. 2008, A&A, 491, 407.Google Scholar
- Nielsen, M. 2011, Reinventing Discovery, Princeton University Press.Google Scholar