265 citations · 284 across the 8 of their papers we have counts for
8 papers
Hostless extragalactic transients in Fink: Results from the ELEPHANT pipeline
R. Durgesh, P. J. Pessi, E. E. O. Ishida +1
The ExtragaLactic alErt Pipeline for Hostless AstroNomical Transients (ELEPHANT), has been developed as a framework for filtering hostless candidates, in real time alert systems, a…
SAGUI: SED-based Segmentation of Multi-band Galaxy Images -- Application to JADES in GOODS-South
Rafael S. de Souza, Andressa Wille, Shravya Shenoy +11
We present sagui, a modular framework for the analysis of multi-band imaging data in spatially resolved galaxies, with synergies to integral-field spectroscopy (IFS). Building on t…
AT2022zod: An Unusual Tidal Disruption Event in an Elliptical Galaxy at Redshift 0.11
Kristen C. Dage, Phelipe Darc, Thallis Pessi +16
Tidal Disruption Events (TDEs) have long been hypothesized as valuable indicators of black holes, offering insight into their demographics and behaviour out to high redshift. TDEs…
From Galaxy Zoo DECaLS to BASS/MzLS: detailed galaxy morphology classification with unsupervised domain adaption
Renhao Ye, Shiyin Shen, Rafael S. de Souza +6
The DESI Legacy Imaging Surveys (DESI-LIS) comprise three distinct surveys: the Dark Energy Camera Legacy Survey (DECaLS), the Beijing-Arizona Sky Survey (BASS), and the Mayall z-b…
ELEPHANT: ExtragaLactic alErt Pipeline for Hostless AstroNomical Transients
P. J. Pessi, R. Durgesh, L. Nakazono +11
Context. Transient astronomical events that exhibit no discernible association with a host galaxy are commonly referred to as hostless. These rare phenomena are associated with ext…
Are classification metrics good proxies for SN Ia cosmological constraining power?
Alex I. Malz, Mi Dai, Kara A. Ponder +10
Context: When selecting a classifier to use for a supernova Ia (SN Ia) cosmological analysis, it is common to make decisions based on metrics of classification performance, i.e. co…
From Images to Features: Unbiased Morphology Classification via Variational Auto-Encoders and Domain Adaptation
Quanfeng Xu, Shiyin Shen, Rafael S. de Souza +7
We present a novel approach for the dimensionality reduction of galaxy images by leveraging a combination of variational auto-encoders (VAE) and domain adaptation (DA). We demonstr…
A2D2: Audi Autonomous Driving Dataset
Jakob Geyer, Yohannes Kassahun, Mentar Mahmudi +16
Research in machine learning, mobile robotics, and autonomous driving is accelerated by the availability of high quality annotated data. To this end, we release the Audi Autonomous…