5k citations · 5.4k across the 26 of their papers we have counts for
26 papers
Laser-based metrology systems vs wavefront sensing techniques: a comparative overview between the Large Binocular Telescope and the Vera C. Rubin Observatory for the telescope alignment and collimation tracking
Luca Rosignoli, Gabriele Rodeghiero, Sandrine J. Thomas +26
This work presents a comparative overview of the collimation and alignment strategies employed by two leading 8m-class facilities: the Large Binocular Telescope (LBT) and the Vera…
The Vera C. Rubin Observatory Data Preview 1
Vera C Rubin Observatory Team, Tatiana Acero Cuellar, Emily Acosta +325
We present Rubin Data Preview 1 DP1, the first data from the NSF DOE Vera C Rubin Observatory, comprising raw and calibrated single epoch images, coadds, difference images, detecti…
Photometric Redshift Estimation for Rubin Observatory Data Preview 1 with Redshift Assessment Infrastructure Layers (RAIL)
T. Zhang, E. Charles, J. F. Crenshaw +87
We present the first systematic analysis of photometric redshifts (photo-z) estimated from the Rubin Observatory Data Preview 1 (DP1) data taken with the Legacy Survey of Space and…
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-…
Redshift Assessment Infrastructure Layers (RAIL): Rubin-era photometric redshift stress-testing and at-scale production
The RAIL Team, Jan Luca van den Busch, Eric Charles +31
Virtually all extragalactic use cases of the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) require the use of galaxy redshift information, yet the vast majorit…
Probabilistic Forward Modeling of Galaxy Catalogs with Normalizing Flows
John Franklin Crenshaw, J. Bryce Kalmbach, Alexander Gagliano +5
Evaluating the accuracy and calibration of the redshift posteriors produced by photometric redshift (photo-z) estimators is vital for enabling precision cosmology and extragalactic…
Using AI for Wavefront Estimation with the Rubin Observatory Active Optics System
John Franklin Crenshaw, Andrew J. Connolly, Joshua E. Meyers +6
The Vera C. Rubin Observatory will, over a period of 10 years, repeatedly survey the southern sky. To ensure that images generated by Rubin meet the quality requirements for precis…
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…
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…
The DECam Ecliptic Exploration Project (DEEP): V. The Absolute Magnitude Distribution of the Cold Classical Kuiper Belt
Kevin J. Napier, Hsing-Wen Lin, David W. Gerdes +21
The DECam Ecliptic Exploration Project (DEEP) is a deep survey of the trans-Neptunian solar system being carried out on the 4-meter Blanco telescope at Cerro Tololo Inter-American…
Stellar Karaoke: deep blind separation of terrestrial atmospheric effects out of stellar spectra by velocity whitening
Nima Sedaghat, Brianna M. Smart, J. Bryce Kalmbach +2
We report a study exploring how the use of deep neural networks with astronomical Big Data may help us find and uncover new insights into underlying phenomena: through our experime…
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…
Analysis of Ring Galaxies Detected Using Deep Learning with Real and Simulated Data
Harish Krishnakumar, J. Bryce Kalmbach
Understanding the formation and evolution of ring galaxies, which possess an atypical ring-like structure, is crucial for advancing knowledge of black holes and galaxy dynamics. Ho…
The Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package
The Astropy Collaboration, Adrian M. Price-Whelan, Pey Lian Lim +133
The Astropy Project supports and fosters the development of open-source and openly-developed Python packages that provide commonly needed functionality to the astronomical communit…
Sifting Through the Static: Moving Object Detection in Difference Images
Hayden Smotherman, Andrew J. Connolly, J. Bryce Kalmbach +6
Trans-Neptunian Objects (TNOs) provide a window into the history of the Solar System, but they can be challenging to observe due to their distance from the Sun and relatively low b…
THOR: An Algorithm for Cadence-Independent Asteroid Discovery
Joachim Moeyens, Mario Juric, Jes Ford +7
We present "Tracklet-less Heliocentric Orbit Recovery" (THOR), an algorithm for linking of observations of Solar System objects across multiple epochs that does not require intra-n…
Efficient SPARQL Autocompletion via SPARQL
Hannah Bast, Johannes Kalmbach, Theresa Klumpp +2
We show how to achieve fast autocompletion for SPARQL queries on very large knowledge bases. At any position in the body of a SPARQL query, the autocompletion suggests matching sub…
DESC DC2 Data Release Note
LSST Dark Energy Science Collaboration, Bela Abolfathi, Robert Armstrong +54
In preparation for cosmological analyses of the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST), the LSST Dark Energy Science Collaboration (LSST DESC) has created…
The LSST DESC DC2 Simulated Sky Survey
LSST Dark Energy Science Collaboration, Bela Abolfathi, David Alonso +77
We describe the simulated sky survey underlying the second data challenge (DC2) carried out in preparation for analysis of the Vera C. Rubin Observatory Legacy Survey of Space and…
Photometric Redshifts with the LSST II: The Impact of Near-Infrared and Near-Ultraviolet Photometry
Melissa L. Graham, Andrew J. Connolly, Winnie Wang +10
Accurate photometric redshift (photo-) estimates are essential to the cosmological science goals of the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST). In this…
Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST)
S. J. Schmidt, A. I. Malz, J. Y. H. Soo +24
Many scientific investigations of photometric galaxy surveys require redshift estimates, whose uncertainty properties are best encapsulated by photometric redshift (photo-z) poster…
Enabling Deep All-Sky Searches of Outer Solar System Objects
Mario Jurić, R. Lynne Jones, J. Bryce Kalmbach +12
A foundational goal of the Large Synoptic Survey Telescope (LSST) is to map the Solar System small body populations that provide key windows into understanding of its formation and…
Fast algorithms for slow moving asteroids: constraints on the distribution of Kuiper Belt Objects
Peter J. Whidden, J. Bryce Kalmbach, Andrew J. Connolly +11
We introduce a new computational technique for searching for faint moving sources in astronomical images. Starting from a maximum likelihood estimate for the probability of the det…
Estimating Spectra from Photometry
J. Bryce Kalmbach, Andrew J. Connolly
Measuring the physical properties of galaxies such as redshift frequently requires the use of Spectral Energy Distributions (SEDs). SED template sets are, however, often small in n…