Dr Fiorenzo Stoppa: Publications

AutoSourceID-Light

Astronomy & Astrophysics EDP Sciences 662 (2022) A109-A109

Authors:

F Stoppa, P Vreeswijk, S Bloemen, S Bhattacharyya, S Caron, G Jóhannesson, R Ruiz de Austri, C van den Oetelaar, G Zaharijas, PJ Groot, E Cator, G Nelemans

Abstract:

Aims.With the ever-increasing survey speed of optical wide-field telescopes and the importance of discovering transients when they are still young, rapid and reliable source localization is paramount. We present AutoSourceID-Light (ASID-L), an innovative framework that uses computer vision techniques that can naturally deal with large amounts of data and rapidly localize sources in optical images.Methods.We show that the ASID-L algorithm based on U-shaped networks and enhanced with a Laplacian of Gaussian filter provides outstanding performance in the localization of sources. A U-Net network discerns the sources in the images from many different artifacts and passes the result to a Laplacian of Gaussian filter that then estimates the exact location.Results.Using ASID-L on the optical images of the MeerLICHT telescope demonstrates the great speed and localization power of the method. We compare the results with SExtractor and show that our method outperforms this more widely used method. ASID-L rapidly detects more sources not only in low- and mid-density fields, but particularly in areas with more than 150 sources per square arcminute. The training set and code used in this paper are publicly available.

More details from the publisher

More details

AutoSourceID-Light. Fast Optical Source Localization via U-Net and Laplacian of Gaussian

ArXiv 2202.00489 (2022)

Authors:

Fiorenzo Stoppa, Paul Vreeswijk, Steven Bloemen, Saptashwa Bhattacharyya, Sascha Caron, Guðlaugur Jóhannesson, Roberto Ruiz de Austri, Chris van den Oetelaar, Gabrijela Zaharijas, Paul J Groot, Eric Cator, Gijs Nelemans

Details from ArXiV

The GW-Universe Toolbox II: constraining the binary black hole population with second and third generation detectors

ArXiv 2201.06196 (2022)

Authors:

Shu-Xu Yi, Fiorenzo Stoppa, Gijs Nelemans, Eric Cator

Details from ArXiV

MeerCRAB: MeerLICHT classification of real and bogus transients using deep learning

Experimental Astronomy Springer Science and Business Media LLC 51:2 (2021) 319-344

Authors:

Zafiirah Hosenie, Steven Bloemen, Paul Groot, Robert Lyon, Bart Scheers, Benjamin Stappers, Fiorenzo Stoppa, Paul Vreeswijk, Simon De Wet, Marc Klein Wolt, Elmar Körding, Vanessa McBride, Rudolf Le Poole, Kerry Paterson, Daniëlle LA Pieterse, Patrick Woudt

More details from the publisher

More details

A Faint Progenitor System for the Faint Supernova 2024vjm

Authors:

Erez Zimmerman, Avishay Gal-Yam, Paul Groot, Eran Ofek, Jan van Roestel, Andrea Pastorello, Stefano Valenti, Aravind Ravi, Ping Chen, Steve Schulze, Nadejda Blagorodnova, Maxime Wavasseur, Marco Gómez-Muñoz, Hugo Tranin, Simon de Wet, Giorgos Leloudas, Paul Vreeswijk, Lindsey Kwok, Michaela Schwab, Saurabh Jha, Kate Maguire, David Sand, Eric Stringer, Thomas Kupfer, Tamar Faran, Joseph Anderson, Jennifer Andrews, Moira Andrews, Avshalom Badash, Steven Bloemen, K Bostroem, Ting-Wan Chen, Massimo Della Valle, Georgios Dimitriadis, Yize Dong, Joseph Farah, James Gillanders, Benjamin Godson, Mariusz Gromadzki, Daichi Hiramatsu, Emily Hoang, Dale Howell, Daryl Janzen, Hanindyo Kuncarayakti, Jiaxuan Li, Joe Lyman, Keiichi Maeda, Mark Magee, Darshana Mehta, Andrew Milligan, Shane Moran, Yuan Qi Ni, David O’Neill, Jeniveve Pearson, Daniëlle Pieterse, Giuliano Pignata, Andrea Reguitti, Daniel Reichart, Nicolas Meza Retamal, Rita Santos, Simone Scaringi, Manisha Shrestha, Shubham Srivastav, Fiorenzo Stoppa, Bhagya Subrayan, Giorgio Valerin, Xiaofeng Wang, Kathryn Wynn, Ofer Yaron, Weicheng Zang

More details from the publisher

Details from ArXiV

Dr Fiorenzo Stoppa

Research theme

Sub department

AutoSourceID-Light

Authors:

Abstract:

AutoSourceID-Light. Fast Optical Source Localization via U-Net and Laplacian of Gaussian

Authors:

The GW-Universe Toolbox II: constraining the binary black hole population with second and third generation detectors

Authors:

MeerCRAB: MeerLICHT classification of real and bogus transients using deep learning

Authors:

A Faint Progenitor System for the Faint Supernova 2024vjm

Authors:

FIND US

CONTACT US

Dr Fiorenzo Stoppa

Research theme

Sub department

Research groups

AutoSourceID-Light

Authors:

Abstract:

AutoSourceID-Light. Fast Optical Source Localization via U-Net and Laplacian of Gaussian

Authors:

The GW-Universe Toolbox II: constraining the binary black hole population with second and third generation detectors

Authors:

MeerCRAB: MeerLICHT classification of real and bogus transients using deep learning

Authors:

A Faint Progenitor System for the Faint Supernova 2024vjm

Authors: