A5002599457- Time Series Analysis and Forecasting
- Gamma-ray bursts and supernovae
- Astronomical Observations and Instrumentation
- Pulsars and Gravitational Waves Research
- Scientific Computing and Data Management
- Astrophysical Phenomena and Observations
- Anomaly Detection Techniques and Applications
- Astrophysics and Cosmic Phenomena
- Data Visualization and Analytics
- Neural Networks and Applications
- Advanced Computational Techniques and Applications
- Astronomy and Astrophysical Research
- Cosmology and Gravitation Theories
- Advanced Statistical Methods and Models
- Metabolomics and Mass Spectrometry Studies
University of California, Berkeley
2011-2022
With the coming data deluge from synoptic surveys, there is a growing need for frameworks that can quickly and automatically produce calibrated classification probabilities newly-observed variables based on small number of time-series measurements. In this paper, we introduce methodology variable-star classification, drawing modern machine-learning techniques. We describe how to homogenize information gleaned light curves by selection computation real-numbered metrics ("feature"), detail...
SkyPortal is an open-source software package designed to efficiently discover interesting transients, manage follow-up, perform characterization, and visualize the results. By enabling fast access archival catalog data, cross-matching heterogeneous data streams, triggering monitoring of on-demand observations for further a SkyPortal-based platform has been operating at scale 2 yr Zwicky Transient Facility Phase II community, with hundreds users, containing tens millions time-domain sources,...
With growing data volumes from synoptic surveys, astronomers necessarily must become more abstracted the discovery and introspection processes. Given scarcity of follow-up resources, there is a particularly sharp onus on frameworks that replace these human roles to provide accurate well-calibrated probabilistic classification catalogs. Such catalogs inform subsequent follow-up, allowing consumers optimize selection specific sources for further study permitting rigorous treatment purities...
SkyPortal is a web application that stores and interactively displays astronomical datasets for annotation, analysis, discovery.It designed to be modular extensible, so it can customized various scientific use cases.It released under the Modified BSD license.SkyPortal was with time-series survey data from Zwicky Transient Facility, eventually The Large Synoptic Survey Telescope, in mind.By default, aims provide useful, rich user experience, including light curves of named events/transients,...
Abstract The most common way to discover extragalactic fast transients, which fade within a few nights in the optical, is via follow-up of gamma-ray burst and gravitational-wave triggers. However, wide-field surveys have potential identify rapidly fading transients independently such external volumetric survey speed Zwicky Transient Facility (ZTF) makes it sensitive objects as faint kilonovae, optical counterparts binary neutron star mergers, out almost 200 Mpc. We introduce an open-source...
Efficient searches for electromagnetic counterparts to gravitational wave, high-energy neutrino, and gamma-ray burst events demand rapid processing of image arithmetic geometry set operations in a database cross-match galaxy catalogs, observation footprints, all-sky images. Here we introduce HEALPix Alchemy, an open-source, pure Python implementation methods that enables calculations. Alchemy is built upon HEALPix, spatial indexing strategy widely used astronomical databases as well the...
We present photometric and spectroscopic observations of the Type IIn supernova SN 2019zrk (also known as ZTF 20aacbyec). The shows a > 100 day precursor, with slow rise, followed by rapid rise to M ≈ −19.2 in r g bands. post-peak light-curve decline is well fit an exponential decay timescale ∼39 days, but it prominent undulations, amplitude ∼1 mag. Both light curve spectra are dominated interaction dense circumstellar medium (CSM), probably from previous mass ejections. evolve...
Inference on time series data is a common requirement in many scientific disciplines and internet of things (IoT) applications, yet there are few resources available to domain scientists easily, robustly, repeatably build such complex inference workflows: traditional statistical models often too rigid explain behavior, while popular machine learning packages require already-featurized dataset inputs. Moreover, the software engineering tasks required instantiate computational platform...
Inference on time series data is a common requirement in many scientific disciplines and internet of things (IoT) applications, yet there are few resources available to domain scientists easily, robustly, repeatably build such complex inference workflows: traditional statistical models often too rigid explain behavior, while popular machine learning packages require already-featurized dataset inputs. Moreover, the software engineering tasks required instantiate computational platform...
SkyPortal is an open-source software package designed to efficiently discover interesting transients, manage follow-up, perform characterization, and visualize the results. By enabling fast access archival catalog data, cross-matching heterogeneous data streams, triggering monitoring of on-demand observations for further a SkyPortal-based platform has been operating at scale 2 yr Zwicky Transient Facility Phase II community, with hundreds users, containing tens millions time-domain sources,...