22 citations · 87 across the 19 of their papers we have counts for
19 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…
A First Measurement of Circumgalactic Dust Reddening from Only 4.6 deg of the Rubin Observatory's Data Preview 1
John Franklin Crenshaw, Matthew McQuinn, Jessica K. Werk
We present the first measurement of circumgalactic dust reddening from the Vera C. Rubin Observatory, using only 4.6 deg of ComCam Data Preview 1 --- roughly of the fi…
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…
A Path to an All-Sky Survey with Roman
Jiwon Jesse Han, Anirudh Chiti, Kai-Feng Chen +93
A deep, space-based, all-sky near-infrared survey carried out with the Nancy Grace Roman Space Telescope would constitute a foundational astronomical infrastructure for decades to…
Opportunities in AI/ML for the Rubin LSST Dark Energy Science Collaboration
LSST Dark Energy Science Collaboration, Eric Aubourg, Camille Avestruz +63
The Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) will produce unprecedented volumes of heterogeneous astronomical data (images, catalogs, and alerts) that cha…
Diagnosing the Effects of Spectroscopic Training Set Imperfection on Photometric Redshift Performance
Alice Crafford, Alex I. Malz, Tianqing Zhang +11
Most LSST extragalactic science will rely on photometric redshifts (photo-) to extract distance information for the galaxies. However, an incomplete or non-representative traini…
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…
Photometric Redshifts in JWST Deep Fields: A Pixel-Based Alternative with DeepDISC
Grant Merz, Ming-Yang Zhuang, Junyao Li +4
Photo-z algorithms that utilize SED template fitting have matured, and are widely adopted for use on high-redshift near-infrared data that provides a unique window into the early u…
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…
Quantifying the Impact of LSST -band Survey Strategy on Photometric Redshift Estimation and the Detection of Lyman-break Galaxies
John Franklin Crenshaw, Boris Leistedt, Melissa Lynn Graham +8
The Vera C. Rubin Observatory will conduct the Legacy Survey of Space and Time (LSST), promising to discover billions of galaxies out to redshift 7, using six photometric bands ($u…
Impact of survey spatial variability on galaxy redshift distributions and the cosmological -point statistics for the Rubin Legacy Survey of Space and Time (LSST)
Qianjun Hang, Benjamin Joachimi, Eric Charles +7
We investigate the impact of spatial survey non-uniformity on the galaxy redshift distributions for forthcoming data releases of the Rubin Observatory Legacy Survey of Space and Ti…
The Active Optics System on the Vera C. Rubin Observatory: Optimal Control of Degeneracy Among the Large Number of Degrees of Freedom
Guillem Megias Homar, Steven M. Kahn, Joshua M. Meyers +2
The Vera C. Rubin Observatory is a unique facility for survey astronomy that will soon be commissioned and begin operations. Crucial to many of its scientific goals is the achievem…
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…
Improving Photometric Redshift Estimates with Training Sample Augmentation
Irene Moskowitz, Eric Gawiser, John Franklin Crenshaw +4
Large imaging surveys will rely on photometric redshifts (photo-z's), which are typically estimated through machine learning methods. Currently planned spectroscopic surveys will n…
The Simulated Catalogue of Optical Transients and Correlated Hosts (SCOTCH)
Martine Lokken, Alexander Gagliano, Gautham Narayan +9
As we observe a rapidly growing number of astrophysical transients, we learn more about the diverse host galaxy environments in which they occur. Host galaxy information can be use…
The sensitivity of GPz estimates of photo-z posterior PDFs to realistically complex training set imperfections
Natalia Stylianou, Alex I. Malz, Peter Hatfield +2
The accurate estimation of photometric redshifts is crucial to many upcoming galaxy surveys, for example the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST). Almos…
An information-based metric for observing strategy optimization, demonstrated in the context of photometric redshifts with applications to cosmology
Alex I. Malz, François Lanusse, John Franklin Crenshaw +1
The observing strategy of a galaxy survey influences the degree to which its resulting data can be used to accomplish any science goal. LSST is thus seeking metrics of observing st…
Learning Spectral Templates for Photometric Redshift Estimation from Broadband Photometry
John Franklin Crenshaw, Andrew J. Connolly
Estimating redshifts from broadband photometry is often limited by how accurately we can map the colors of galaxies to an underlying spectral template. Current techniques utilize s…