2 citations · 4 across the 4 of their papers we have counts for
5 papers
Strong Lensing Parameter Estimation on Ground-Based Imaging Data Using Simulation-Based Inference
Jason Poh, Ashwin Samudre, Aleksandra Ćiprijanović +4
Current ground-based cosmological surveys, such as the Dark Energy Survey (DES), are predicted to discover thousands of galaxy-scale strong lenses, while future surveys, such as th…
DeepGhostBusters: Using Mask R-CNN to Detect and Mask Ghosting and Scattered-Light Artifacts from Optical Survey Images
Dimitrios Tanoglidis, Aleksandra Ćiprijanović, Alex Drlica-Wagner +7
Wide-field astronomical surveys are often affected by the presence of undesirable reflections (often known as "ghosting artifacts" or "ghosts") and scattered-light artifacts. The i…
DeepShadows: Separating Low Surface Brightness Galaxies from Artifacts using Deep Learning
Dimitrios Tanoglidis, Aleksandra Ćiprijanović, Alex Drlica-Wagner
Searches for low-surface-brightness galaxies (LSBGs) in galaxy surveys are plagued by the presence of a large number of artifacts (e.g., objects blended in the diffuse light from s…
Optimizing galaxy samples for clustering measurements in photometric surveys
Dimitrios Tanoglidis, Chihway Chang, Joshua Frieman
When analyzing galaxy clustering in multi-band imaging surveys, there is a trade-off between selecting the largest galaxy samples (to minimize the shot noise) and selecting samples…
Resolving Dark Matter Subhalos With Future Sub-GeV Gamma-Ray Telescopes
Ti-Lin Chou, Dimitrios Tanoglidis, Dan Hooper
Annihilating dark matter particles in nearby subhalos could generate potentially observable fluxes of gamma rays, unaccompanied by emission at other wavelengths. Furthermore, this…