758 citations · 1.6k across the 15 of their papers we have counts for
15 papers
Modeling groundwater levels in California's Central Valley by hierarchical Gaussian process and neural network regression
Anshuman Pradhan, Kyra H. Adams, Venkat Chandrasekaran +4
Modeling groundwater levels continuously across California's Central Valley (CV) hydrological system is challenging due to low-quality well data which is sparsely and noisily sampl…
Remote estimation of geologic composition using interferometric synthetic-aperture radar in California's Central Valley
Kyongsik Yun, Kyra Adams, John Reager +4
California's Central Valley is the national agricultural center, producing 1/4 of the nation's food. However, land in the Central Valley is sinking at a rapid rate (as much as 20 c…
SMARPs and SHARPs: Two Solar Cycles of Active Region Data
Monica G. Bobra, Paul J. Wright, Xudong Sun +1
We present a new data product, called Space-Weather MDI Active Region Patches (SMARPs), derived from maps of the solar surface magnetic field taken by the Michelson Doppler Imager…
California Reservoir Drought Sensitivity and Exhaustion Risk Using Statistical Graphical Models
Armeen Taeb, John T. Reager, Michael Turmon +1
The ongoing California drought has highlighted the potential vulnerability of state water management infrastructure to multi-year dry intervals. Due to the high complexity of the n…
Real-Time Data Mining of Massive Data Streams from Synoptic Sky Surveys
S. G. Djorgovski, M. J. Graham, C. Donalek +4
The nature of scientific and technological data collection is evolving rapidly: data volumes and rates grow exponentially, with increasing complexity and information content, and t…
Automated Real-Time Classification and Decision Making in Massive Data Streams from Synoptic Sky Surveys
S. G. Djorgovski, A. A. Mahabal, C. Donalek +4
The nature of scientific and technological data collection is evolving rapidly: data volumes and rates grow exponentially, with increasing complexity and information content, and t…
The Helioseismic and Magnetic Imager (HMI) Vector Magnetic Field Pipeline: Overview and Performance
J. Todd Hoeksema, Yang Liu, Keiji Hayashi +9
The Helioseismic and Magnetic Imager (HMI) began near-continuous full-disk solar measurements on 1 May 2010 from the Solar Dynamics Observatory (SDO). An automated processing pipel…
The Helioseismic and Magnetic Imager (HMI) Vector Magnetic Field Pipeline: SHARPs -- Space-weather HMI Active Region Patches
Monica G. Bobra, Xudong Sun, J. Todd Hoeksema +5
A new data product from the Helioseismic and Magnetic Imager (HMI) onboard the Solar Dynamics Observatory (SDO) called Space-weather HMI Active Region Patches (SHARPs) is now avail…
Feature Selection Strategies for Classifying High Dimensional Astronomical Data Sets
Ciro Donalek, Arun Kumar A., S. G. Djorgovski +7
The amount of collected data in many scientific fields is increasing, all of them requiring a common task: extract knowledge from massive, multi parametric data sets, as rapidly an…
Flashes in a Star Stream: Automated Classification of Astronomical Transient Events
S. G. Djorgovski, A. A. Mahabal, C. Donalek +4
An automated, rapid classification of transient events detected in the modern synoptic sky surveys is essential for their scientific utility and effective follow-up using scarce re…
Real Time Classification of Transient Events in Synoptic Sky Surveys
Ashish A. Mahabal, C. Donalek, S. G. Djorgovski +6
An automated, rapid classification of transient events detected in the modern synoptic sky surveys is essential for their scientific utility and effective follow-up using scarce re…
Discovery, classification, and scientific exploration of transient events from the Catalina Real-time Transient Survey
A. A. Mahabal, S. G. Djorgovski, A. J. Drake +8
Exploration of the time domain - variable and transient objects and phenomena - is rapidly becoming a vibrant research frontier, touching on essentially every field of astronomy an…
Towards an Automated Classification of Transient Events in Synoptic Sky Surveys
S. G. Djorgovski, C. Donalek, A. Mahabal +6
We describe the development of a system for an automated, iterative, real-time classification of transient events discovered in synoptic sky surveys. The system under development i…
Towards Real-time Classification of Astronomical Transients
A. Mahabal, S. G. Djorgovski, R. Williams +8
Exploration of time domain is now a vibrant area of research in astronomy, driven by the advent of digital synoptic sky surveys. While panoramic surveys can detect variable or tran…
Automated Probabilistic Classification of Transients and Variables
A. A. Mahabal, S. G. Djorgovski, M. Turmon +6
There is an increasing number of large, digital, synoptic sky surveys, in which repeated observations are obtained over large areas of the sky in multiple epochs. Likewise, there i…