LIGHTS

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/arcsec2; 3σ in areas equivalent to 10″×10″). This opens up the possibility of probing the edges 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 disk 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 from 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⊙/pc2, supporting a potential connection between galaxy edges and a threshold for in situ star formation. Our two-dimensional analysis of 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.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-08-08
DOI
https://doi.org/10.1051/0004-6361/202555288/pdf
Primary Topic
Galaxies: Formation, Evolution, Phenomena
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

LIGHTS

Nushkia Chamba, Giulia Golini, Dennis Zaritsky, Samane Raji et al.
Springer Link (Chiba Institute of Technology)
Galaxies: Formation, Evolution, Phenomena
article

LIGHTS

Nushkia Chamba, Giulia Golini, Dennis Zaritsky, Samane Raji, Raúl Infante-Sáinz, Zahra Sharbaf, Javier Román, Ignacio Trujillo, Minh N. Le, Andrés Asensio Ramos, Chen-Yu Chuang, Sepideh Eskandarlou, Richard L. Donnerstein, Mauro D’Onofrio, Ignacio Ruiz Cejudo, Ouldouz Kaboud, Sergio Guerra Arencibia, Carlos Marrero de la Rosa, Mireia Montes, Garreth Martin, S. Zahra Hosseini-ShahiSavandi, Nafise Sedighi
article en

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/arcsec2; 3σ in areas equivalent to 10″×10″). This opens up the possibility of probing the edges 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 disk 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 from 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⊙/pc2, supporting a potential connection between galaxy edges and a threshold for in situ star formation. Our two-dimensional analysis of 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.

Springer Link (Chiba Institute of Technology)
Life in Land
Openalex Percentile: Top 32%
Galaxies: Formation, Evolution, Phenomena
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.