LIGHTS. A robust technique to identify galaxy edges
arXiv:2507.01085 · doi:10.1051/0004-6361/202555288
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 a robust quantitative alternative to traditional edge-detection methods when deep imaging is available. Our technique incorporates Wiener-Hunt deconvolution to remove the effect of the Point Spread Function (PSF) by the galaxy itself. By applying our methodology to the LIGHTS galaxy NGC 3486, we identify the edge at 205 5. At this radius, the stellar surface mass density is 1 M/pc, supporting a potential connection between galaxy edges and a threshold for in-situ star formation. Our two-dimensional analysis on NGC 3486 reveals an edge asymmetry of 5. These techniques will be of paramount importance for a physically motivated determination of the sizes of galaxies in ultra-deep surveys such as LSST, Euclid and Roman.
17 pages, 14 figures. Main figure is Fig.7. Accepted for publication in A&A (June 30, 2025)
References in corpus (26)
- The NumPy array: a structure for efficient numerical computation
- The Atlas3D project -- XXIX. The new look of early-type galaxies and surrounding fields disclosed by extremely deep optical images
- The structure of galactic disks: Studying late-type spiral galaxies using SDSS
- Imfit: A Fast, Flexible New Program for Astronomical Image Fitting
- The Outer Disks of Early-Type Galaxies. I. Surface-Brightness Profiles of Barred Galaxies
- Color Profiles of Spiral Galaxies: Clues on Outer-Disk Formation Scenarios
- Sparsity Averaging Reweighted Analysis (SARA): a novel algorithm for radio-interferometric imaging
- The influence of diffuse scattered light I. The PSF and its role to observations of the edge-on galaxy NGC 5907
- A physically motivated definition for the size of galaxies in an era of ultra-deep imaging
- The Sloan Digital Sky Survey extended point spread functions
- The buildup of the intracluster light of Abell 85 as seen by Subaru's Hyper Suprime-Cam
- A unified picture of breaks and truncations in spiral galaxies from SDSS and S^{4}G imaging
- The influence of diffuse scattered light II. Observations of galaxy haloes and thick discs and hosts of BCGs
- An improved deprojection and PSF-deconvolution technique for galaxy-cluster X-ray surface-brightness profiles
- Color Profiles of Disk Galaxies since z~1: Probing Outer Disk Formation Scenarios
- Introducing the LBT Imaging of Galactic Halos and Tidal Structures (LIGHTS) survey. A preview of the low surface brightness Universe to be unveiled by LSST
- The edges of galaxies: Tracing the limits of star formation
- Stellar Disc Truncations and Extended Haloes in Face-on Spiral Galaxies
- The Impact of Stellar Migration on Disk Outskirts
- Ultra-deep imaging of NGC1052-DF2 and NGC1052-DF4 to unravel their origins
- Linking star formation thresholds and truncations in the thin and thick disks of the low-mass galaxy UGC 7321
- A Multi-Wavelength Study of Star Formation in 15 Local Star-Forming Galaxies
- The truncation of the disk of NGC 4565: Detected up to z=4 kpc, with star formation, and affected by the warp
- The Way We Measure: Comparison of Methods to Derive Radial Surface Brightness Profiles
- UV LIGHTS. New tools for revealing the low surface brightness regime in the ultraviolet
- Automated galaxy sizes in Euclid images using the Segment Anything Model