| Author(s) and Co-Author(s) with Affiliation: Kumar Pranshu(Aryabhatta Research Institute of Observational Sciences, Nainital - 263001, India), Kuntal Misra(Aryabhatta Research Institute of Observational Sciences, Nainital - 263001, India), Bhavya Ailawadhi(Physical Research Laboratory, Ahmedabad - 380009, India), Monalisa Dubey(Aryabhatta Research Institute of Observational Sciences, Nainital - 263001, India), Naveen Dukiya(Aryabhatta Research Institute of Observational Sciences, Nainital - 263001, India), Sara Filali(Institute of Astrophysics and Geophysics, Liège University, Liège - 4000, Belgium), Paul Hickson(University of British Columbia, Vancouver - 6224, Canada), Priyanshi Kumari(Aryabhatta Research Institute of Observational Sciences, Nainital - 263001, India), Gokul Singh Mehra(Aryabhatta Research Institute of Observational Sciences, Nainital - 263001, India), Vibhore Negi(Kavli Institute for Astronomy and Astrophysics, Peking University, Beijing - 100871, China), Jean Surdej(Institute of Astrophysics and Geophysics, Liège University, Liège - 4000, Belgium), Sarvesh Kumar Yadav(Aryabhatta Research Institute of Observational Sciences, Nainital - 263001, India) |
| Abstract: The 4-m International Liquid Mirror Telescope (ILMT) is India’s first optical survey telescope, enabling a systematic search for transient and variable sources. The PyLMT transient detection pipeline deployed for transient search, has been operating in near real-time, detecting transient and variable objects in the ILMT images. Using the image subtraction technique, ~3700 images have been analysed by the automated pipeline, generating around 23,000 transient alerts. Around 20,000 of the alerts correspond to known MPC asteroids, ~ 2000 correspond to variable stars (including eclipsing binaries, RR Lyrae, Delta Scuti, T-Tauri, etc), 25 correspond to cataclysmic variable eruptions, 22 supernova candidates (including six new discoveries), and several other interesting candidates. A concise overview of the detections and their significance has been presented, highlighting the survey's potential contributions to a broad class of scientific cases. Also, a Streamlit-based candidate exploration tool called DART has been developed, which enables visualisation and categorisation of detected sources using SIMBAD cross-matches and the pipeline-enabled automated classifications. The tool includes a cone-search feature and provides key metadata of detected candidates through a web application-based GUI, which will soon be publicly accessible. |
