activity
20202024
most citedToward Long-Term and Archivable Reproducibility

34 citations · 68 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.IM2024

Star-Image Centering with Deep Learning II: HST/WFPC2 Full Field of View

Dana I. Casetti-Dinescu, Roberto Baena-Galle, Terrence M. Girard +2

We present an expanded and improved deep-learning (DL) methodology for determining centers of star images on HST/WFPC2 exposures. Previously, we demonstrated that our DL model can…

astro-ph.GA2023

Stellar Population Properties in the Stellar Streams Around SPRC047

Seppo Laine, David Martınez-Delgado, Kristi A. Webb +5

We have investigated the properties (e.g., age, metallicity) of the stellar populations of a ring-like tidal stellar stream (or streams) around the edge-on galaxy SPRC047 (z = 0.03…

astro-ph.IM2023★ 8 cited

Star-Image Centering with Deep Learning: HST/WFPC2 Images

Dana I. Casetti-Dinescu, Terrence M. Girard, Roberto Baena-Galle +2

A Deep Learning (DL) algorithm is built and tested for its ability to determine centers of star images on HST/WFPC2 exposures, in filters F555W and F814W. These archival observatio…

astro-ph.GA2022★ 26 cited

Galaxy and Mass Assembly (GAMA): Extended Intra-Group Light in a group at from deep Hyper-Suprime Cam images

Cristina Martinez-Lombilla, Sarah Brough, Mireia Montes +7

We present a pilot study to assess the potential of Hyper Suprime-Cam Public Data Release 2 (HSC-PDR2) images for the analysis of extended faint structures within groups of galaxie…

cs.DL2020★ 34 cited

Toward Long-Term and Archivable Reproducibility

Mohammad Akhlaghi, Raúl Infante-Sainz, Boudewijn F. Roukema +3

Analysis pipelines commonly use high-level technologies that are popular when created, but are unlikely to be readable, executable, or sustainable in the long term. A set of criter…