139 citations · 435 across the 15 of their papers we have counts for
17 papers
The LSST Science Pipelines Software: Optical Survey Pipeline Reduction and Analysis Environment
Rubin Observatory Science Pipelines Developers, Yusra AlSayyad, Robert Armstrong +83
The NSF-DOE Vera C. Rubin Observatory is executing the Legacy Survey of Space and Time (LSST) as its prime mission, producing a series of data releases over the ten-year survey. Th…
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…
photoD with Rubin's Data Preview 1: first stellar photometric distances and deficit of faint blue stars. Stellar distances with Rubin's DP1
L. Palaversa, E. Donev, Ž. Ivezić +96
Aims: We investigate the utility of Rubin's Data Preview 1 for estimating stellar number density profile in the Milky Way halo. Methods: Stellar broad-band near-UV to near-IR $ugri…
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…
Identification and photometric classification of extragalactic transients in the Vera C. Rubin Observatory's Data Preview 1
James Freeburn, Igor Andreoni, Kaylee M. de Soto +55
The Vera C. Rubin Observatory will soon survey the southern sky, delivering a depth and sky coverage that is unprecedented in time domain astronomy. As part of commissioning, Data…
Enabling Early Transient Discovery in LSST via Difference Imaging with DECam
Yize Dong, Kaylee de Soto, V. Ashley Villar +58
We present SLIDE, a pipeline that enables transient discovery in data from the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST), using archival images from the Da…
Selfish Evolution: Making Discoveries in Extreme Label Noise with the Help of Overfitting Dynamics
Nima Sedaghat, Tanawan Chatchadanoraset, Colin Orion Chandler +2
Motivated by the scarcity of proper labels in an astrophysical application, we have developed a novel technique, called Selfish Evolution, which allows for the detection and correc…
The Active Asteroids Citizen Science Program: Overview and First Results
Colin Orion Chandler, Chadwick A. Trujillo, William J. Oldroyd +20
We present the Citizen Science program Active Asteroids and describe discoveries stemming from our ongoing project. Our NASA Partner program is hosted on the Zooniverse online plat…
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…
Machines Learn to Infer Stellar Parameters Just by Looking at a Large Number of Spectra
Nima Sedaghat, Martino Romaniello, Jonathan E. Carrick +1
Machine learning has been widely applied to clearly defined problems of astronomy and astrophysics. However, deep learning and its conceptual differences to classical machine learn…
Photometry of high-redshift blended galaxies using deep learning
Alexandre Boucaud, Marc Huertas-Company, Caroline Heneka +11
The new generation of deep photometric surveys requires unprecedentedly precise shape and photometry measurements of billions of galaxies to achieve their main science goals. At su…
Machine Learning for the Zwicky Transient Facility
Ashish Mahabal, Umaa Rebbapragada, Richard Walters +47
The Zwicky Transient Facility is a large optical survey in multiple filters producing hundreds of thousands of transient alerts per night. We describe here various machine learning…
Gaia DR2 unravels incompleteness of nearby cluster population: New open clusters in the direction of Perseus
T. Cantat-Gaudin, A. Krone-Martins, N. Sedaghat +13
Open clusters (OCs) are popular tracers of the structure and evolutionary history of the Galactic disk. The OC population is often considered to be complete within 1.8 kpc of the S…
Effective Image Differencing with ConvNets for Real-time Transient Hunting
Nima Sedaghat, Ashish Mahabal
Large sky surveys are increasingly relying on image subtraction pipelines for real-time (and archival) transient detection. In this process one has to contend with varying PSF, sma…
Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection
Mohammadreza Zolfaghari, Gabriel L. Oliveira, Nima Sedaghat +1
General human action recognition requires understanding of various visual cues. In this paper, we propose a network architecture that computes and integrates the most important vis…
Hybrid Learning of Optical Flow and Next Frame Prediction to Boost Optical Flow in the Wild
Nima Sedaghat, Mohammadreza Zolfaghari, Thomas Brox
CNN-based optical flow estimation has attracted attention recently, mainly due to its impressively high frame rates. These networks perform well on synthetic datasets, but they are…
Orientation-boosted Voxel Nets for 3D Object Recognition
Nima Sedaghat, Mohammadreza Zolfaghari, Ehsan Amiri +1
Recent work has shown good recognition results in 3D object recognition using 3D convolutional networks. In this paper, we show that the object orientation plays an important role…