51 citations · 141 across the 13 of their papers we have counts for
8 papers · 1 filter
Toward Complete Merger Identification at Cosmic Noon with Deep Learning
Aimee Schechter, Aleksandra Ciprijanovic, Rebecca Nevin +4
As we enter the era of large imaging surveys such as , Rubin, and , a deeper understanding of potential biases and selection effects in optical ast…
The LSST AGN Data Challenge: Selection methods
Đorđe V. Savić, Isidora Jankov, Weixiang Yu +12
Development of the Rubin Observatory Legacy Survey of Space and Time (LSST) includes a series of Data Challenges (DC) arranged by various LSST Scientific Collaborations (SC) that a…
Neural Inference of Gaussian Processes for Time Series Data of Quasars
Egor Danilov, Aleksandra Ćiprijanović, Brian Nord
The study of quasar light curves poses two problems: inference of the power spectrum and interpolation of an irregularly sampled time series. A baseline approach to these tasks is…
DIGS: Deep Inference of Galaxy Spectra with Neural Posterior Estimation
Gourav Khullar, Brian Nord, Aleksandra Ciprijanovic +2
With the advent of billion-galaxy surveys with complex data, the need of the hour is to efficiently model galaxy spectral energy distributions (SEDs) with robust uncertainty quanti…
Robustness of deep learning algorithms in astronomy -- galaxy morphology studies
A. Ćiprijanović, D. Kafkes, G. N. Perdue +6
Deep learning models are being increasingly adopted in wide array of scientific domains, especially to handle high-dimensionality and volume of the scientific data. However, these…
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…
DeepMerge: Classifying High-redshift Merging Galaxies with Deep Neural Networks
A. Ćiprijanović, G. F. Snyder, B. Nord +1
We investigate and demonstrate the use of convolutional neural networks (CNNs) for the task of distinguishing between merging and non-merging galaxies in simulated images, and for…
Updated radio relation for Galactic supernova remnants -- II
B. Vukotić, A. Ćiprijanović, M. M. Vučetić +2
In this paper we present the updated empirical radio surface-brightness-to-diameter (--) relation for Galactic supernova remnants (SNRs) calibrated using SNRs with reli…