activity
20172026
most citedPhotoelectron Yields of Scintillation Counters with Embedded Wavelength-Shifting Fibers Read Out With Silicon Photomultipliers

22 citations · 49 across the 11 of their papers we have counts for

collaborators

11 papers

astro-ph.EP2026

You Only Stack Once (YOSO): A Motion-Filtered, Deep-Learning Framework for Detecting Faint Moving Sources

Nitya Pandey, César Fuentes, Pedro Bernardinelli +15

We present You Only Stack Once (YOSO), an automated pipeline designed to detect faint, slow-moving Solar System objects in wide-field astronomical surveys. The pipeline integrates…

astro-ph.IM2025

An Efficient Shift-and-Stack Algorithm Applied to Detection Catalogs

Steven Stetzler, Mario Jurić, Pedro H. Bernardinelli +22

The boundary of solar system object discovery lies in detecting its faintest members. However, their discovery in detection catalogs from imaging surveys is fundamentally limited b…

astro-ph.EP2025★ 8 cited

NSF-DOE Vera C. Rubin Observatory Observations of Interstellar Comet 3I/ATLAS (C/2025 N1)

Colin Orion Chandler, Pedro H. Bernardinelli, Mario Jurić +305

We report on the observation and measurement of astrometry, photometry, morphology, and activityof the interstellar object 3I/ATLAS, also designated C/2025 N1 (ATLAS) with the NSF-…

astro-ph.EP2023

The DECam Ecliptic Exploration Project (DEEP) VI: first multi-year observations of trans-Neptunian objects

Hayden Smotherman, Pedro H. Bernardinelli, Stephen K. N. Portillo +25

We present the first set of trans-Neptunian objects (TNOs) observed on multiple nights in data taken from the DECam Ecliptic Exploration Project (DEEP). Of these 110 TNOs, 105 do n…

astro-ph.EP2023

The DECam Ecliptic Exploration Project (DEEP) III: Survey characterization and simulation methods

Pedro H. Bernardinelli, Hayden Smotherman, Zachary Langford +24

We present a detailed study of the observational biases of the DECam Ecliptic Exploration Project's (DEEP) B1 data release and survey simulation software that enables direct statis…

astro-ph.IM2022★ 13 cited

Deep Drilling in the Time Domain with DECam: Survey Characterization

Melissa L. Graham, Robert A. Knop, Thomas Kennedy +41

This paper presents a new optical imaging survey of four deep drilling fields (DDFs), two Galactic and two extragalactic, with the Dark Energy Camera (DECam) on the 4 meter Blanco…

stat.ML2022

Fast emulation of density functional theory simulations using approximate Gaussian processes

Steven Stetzler, Michael Grosskopf, Earl Lawrence

Fitting a theoretical model to experimental data in a Bayesian manner using Markov chain Monte Carlo typically requires one to evaluate the model thousands (or millions) of times.…

astro-ph.IM2022★ 3 cited

From Data to Software to Science with the Rubin Observatory LSST

Katelyn Breivik, Andrew J. Connolly, K. E. Saavik Ford +97

The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) dataset will dramatically alter our understanding of the Universe, from the origins of the Solar System to the…

astro-ph.IM2022

The Astronomy Commons Platform: A Deployable Cloud-Based Analysis Platform for Astronomy

Steven Stetzler, Mario Jurić, Kyle Boone +3

We present a scalable, cloud-based science platform solution designed to enable next-to-the-data analyses of terabyte-scale astronomical tabular datasets. The presented platform is…

astro-ph.IM2021★ 3 cited

Checkpoint, Restore, and Live Migration for Science Platforms

Mario Juric, Steven Stetzler, Colin T. Slater

We demonstrate a fully functional implementation of (per-user) checkpoint, restore, and live migration capabilities for JupyterHub platforms. Checkpointing -- the ability to freeze…

physics.ins-det2017★ 22 cited

Photoelectron Yields of Scintillation Counters with Embedded Wavelength-Shifting Fibers Read Out With Silicon Photomultipliers

Akram Artikov, Vladimir Baranov, Gerald C. Blazey +21

Photoelectron yields of extruded scintillation counters with titanium dioxide coating and embedded wavelength shifting fibers read out by silicon photomultipliers have been measure…