Adam Zadrożny
Dr. Adam Zadrożny, astrophysicist working at National Centre for Nuclear Research and lecturer of Natural Language Processing at Cognitive Studies Master Program at Faculty of Psychology at University of Warsaw. In the years 2017-2018 he was postdoc at the Center of Gravitational Wave Astrophysics at the University of Texas Rio Grande Valley, in 2015 he defended his doctorate at the National Center for Nuclear Research. He took part in the first detection of gravitational waves by the international LIGO-Virgo project. As a PhD student he was an intern at Facebook, Inc. (2012).
Affiliation –National Centre for Nuclear Research
Position –Assistant Professor
Sessions
Nowadays, a wealth of astronomical data is easily accessible online from machine-readable resources, such as, e.g., source catalogs or experimental data repositories. Many tools exist to extract, process and combine information from them automatically. On the other hand, there is also a considerable amount of important information hidden in the natural language sources. Particularly interesting are the GCN Circulars and Astronomers Telegrams issued shortly after an interesting transient event occurs, such as a supernova, gravitational wave, or neutrino alert. They are widely used by the multi-messenger community to inform about those events and the results of their follow-up and to plan further observations. A considerable amount of time is spent by the researchers searching, reading, and comparing information from those reports. Here we present a tool-set based on modern natural language processing techniques that allow for automatic extraction and processing of information from the GCN Circulars and Astronomers Telegrams. Data such as source name and coordinates, flux level, detection or non-detection, etc., can now be automatically obtained. The python-base code is easily adaptable to the individual researcher or experiment needs.