LIGHTS. A robust technique to identify galaxy edges
Giulia Golini, Ignacio Trujillo, Dennis Zaritsky, Mireia Montes, Ra\'ul Infante Sainz, Garreth Martin, Nushkia Chamba, Ignacio Ruiz Cejudo, Andr\'es Asensio Ramos, Chen Yu Chuang, Mauro D'Onofrio, Sepideh Eskandarlou, S. Zahra Hosseini ShahiSavandi, Ouldouz Kaboud

TL;DR
This paper introduces a new two-dimensional method using the second derivative of surface mass density maps, combined with Wiener-Hunt deconvolution, to robustly identify galaxy edges in ultra-deep imaging data, improving over traditional techniques.
Contribution
The paper presents a novel edge detection technique based on the second derivative of mass density maps, incorporating PSF correction, for analyzing galaxy boundaries in deep imaging surveys.
Findings
Applied to NGC 3486, identified the galaxy edge at 205 arcseconds.
Detected an edge asymmetry of approximately 5%.
Supported a link between galaxy edges and star formation thresholds.
Abstract
The LIGHTS survey is imaging galaxies at a depth and spatial resolution comparable to what the Legacy Survey of Space and Time (LSST) will produce in 10 years (i.e., 31 mag/arcsec; 3 in areas equivalent to 10 10). This opens up the possibility of probing the edge of galaxies, as the farthest location of in-situ star formation, with a precision that we have been unable to achieve in the past. Traditionally, galaxy edges have been analyzed in one-dimension through ellipse averaging or visual inspection. Our approach allows for a two-dimensional exploration of galaxy edges, which is crucial for understanding deviations from disc symmetry and the environmental effects on galaxy growth. In this paper, we propose a novel method using the second derivative of the surface mass density map of a galaxy to determine its edges. This offers…
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