ALMA and JWST data reveal an extreme ram-pressure stripping event removing most cold gas from a massive galaxy in a z=4.3 protocluster core.
astroquery: An Astronomical Web-Querying Package in Python
3 Pith papers cite this work. Polarity classification is still indexing.
abstract
astroquery is a collection of tools for requesting data from databases hosted on remote servers with interfaces exposed on the internet, including those with web pages but without formal application program interfaces (APIs). These tools are built on the Python requests package, which is used to make HTTP requests, and astropy, which provides most of the data parsing functionality. astroquery modules generally attempt to replicate the web page interface provided by a given service as closely as possible, making the transition from browser-based to command-line interaction easy. astroquery has received significant contributions from throughout the astronomical community, including several significant contributions from telescope archives. astroquery enables the creation of fully reproducible workflows from data acquisition through publication. This paper describes the philosophy, basic structure, and development model of the astroquery package. The complete documentation for astroquery can be found at http://astroquery.readthedocs.io/.
years
2026 3verdicts
UNVERDICTED 3representative citing papers
SMR uses multi-channel map-encoded reinforcement learning to achieve roughly 10% better time utilization than greedy baselines for single-dish radio telescope scheduling.
Kepler image-subtracted photometry yields 81,498 light curves and a catalog of 87 periodic variable candidates in NGC 6819, including 26 newly discovered ones.
citing papers explorer
-
An extreme ram-pressure stripping event in a protocluster at redshift 4.3
ALMA and JWST data reveal an extreme ram-pressure stripping event removing most cold gas from a massive galaxy in a z=4.3 protocluster core.
-
SMR: Scheduler with Multi-Channel Map-Encoded Reinforcement Learning for Radio Telescopes
SMR uses multi-channel map-encoded reinforcement learning to achieve roughly 10% better time utilization than greedy baselines for single-dish radio telescope scheduling.
-
Kepler Image-Subtracted Light Curves and Variable Star Catalog of NGC 6819
Kepler image-subtracted photometry yields 81,498 light curves and a catalog of 87 periodic variable candidates in NGC 6819, including 26 newly discovered ones.