ADASS XXXI

Adam Zadrożny
  • Natural language processing of astronomical transients reports
Agata Trovato
  • Accessing and working with gravitational-wave open data from LIGO and Virgo
Andy Connolly
  • Scaling Science in the Era of Survey Astronomy
Anthony Horton
  • PyCPL and PyEsoRex: The ESO Common Pipeline Library in Python
Antoine Boulanger
  • Artificial Intelligence for Automatic Identification of Spectral Lines
Athanaseus Javas Ramaila
  • AIMfast: An Astronomical Image Fidelity Assessment Tool
Audrey Coutens
  • CASSIS and Aladin interfaced for a VO-compliant spectral data cube analysis tool
Austin Shen
  • A globally distributed and scalable data post-processing framework for WALLABY science
Bernie Boscoe
  • Three workflow add-ons to improve machine learning reproducibility in astronomy
Bonnarel François
  • CASSIS and Aladin interfaced for a VO-compliant spectral data cube analysis tool
  • TAP and the Data Models
Brent Miszalski
  • Data Central’s Data Aggregation Service
Chenzhou Cui
  • Teaching Resources for Virtual Observatory
Christopher Zapart
  • Julia meets BIG DATA: JVO experience with distributed computing
Dave Morris
  • Astropy, PyVO and the Radio realm
  • TAP and the Data Models
Dino Bektesevic
  • Lessons learned by adding cloud support to Rubin software
Emily Lakdawalla
  • Taking Passengers on Planetary Exploration Vessels: Benefits of Engaging Space Enthusiast Communities with Rapidly Released Image Data
Emmanuel Caux
  • CASSIS and Aladin interfaced for a VO-compliant spectral data cube analysis tool
  • Artificial Intelligence for Automatic Identification of Spectral Lines
Eric J. Murphy
  • A Next-Generation Very Large Array
Erik Tollerud
  • A Science-Centric, Open approach to Scrum
Ewa Deelman
  • Astronomical Image Processing at Scale With Pegasus and Montage.
Felix Grezes
  • Building astroBERT, a language model for Astronomy & Astrophysics.
Fernando L. Ventura
  • An Unsupervised Learning approach to classifying Extended Radio Sources from deep MeerKAT images
Fran Jiménez-Esteban
  • European Virtual Observatory Schools
Frederick Dauphin
  • WFC3 IR Blob Classification with Machine Learning
Frossie Economou
  • Rubin Science Platform on Google: the story so far.
G. Bruce Berriman
  • Astronomical Image Processing at Scale With Pegasus and Montage.
Guido Cupani
  • Advanced Data Analysis for Observational Cosmology: applications to the study of the Intergalactic Medium
Hendrik Heinl
  • Astropy, PyVO and the Radio realm
Ivan Katkov
  • Fast interactive web-based data visualizer of panoramic spectroscopic surveys
Jean-Michel Glorian
  • CASSIS and Aladin interfaced for a VO-compliant spectral data cube analysis tool
Jennifer Medina
  • WFC3 IR Blob Classification with Machine Learning
John Good
  • Astronomical Image Processing at Scale With Pegasus and Montage.
Jonathan Kenyon
  • QuartiCal - embarassingly parallel calibration using Numba and Dask
jsalgado
  • Designing the SKA Regional Centre Network
Julia Healy
  • Managing the data flow of the MHONGOOSE survey with open-access tools
Kirill Grishin
  • Observing, calibrating and reducing near-infrared imaging mosaics
Konstantin Malanchev
  • Astronomical Data Approximation Based on Neural Network Models
Kumiko Usuda-Sato
  • GALAXY CRUISE Engages Citizen Astronomers to Explore Galaxies
Kuo-Song Wang
  • Visualising big data: how to get the best out of CARTA
Laurent Michel
  • TAP and the Data Models
Marco Molinaro
  • Supporting FAIR principles in the Astrophysics Community - the European experience
Maria Arevalo Sanchez
  • Grand opening of the European JWST Archive at the ESAC Science Data Centre
Martino Romaniello
  • The universe speaks for itself: from unsupervised physics to semantic source separation
Mateusz Malenta
  • Efficient and safe astronomy research with Docker
Mathieu Servillat
  • FAIR high level data for Cherenkov astronomy
Meg Schwamb
  • Exploring Mars with 150,000 Earthlings
Michelle Lochner
  • Anomaly Detection in Astronomical Data using Machine Learning
Michelle Ntampaka
  • Building Trustworthy Machine Learning Models for Astronomy
Mickael Boiziot
  • CASSIS and Aladin interfaced for a VO-compliant spectral data cube analysis tool
Mireille Louys
  • CASSIS and Aladin interfaced for a VO-compliant spectral data cube analysis tool
  • TAP and the Data Models
Mohammad Akhlaghi
  • Maneage: Managing data lineage for archivable reproducibility
Nuria Alvarez Crespo
  • ESASky: a visualisation tool for multi-messenger astronomy
Paul Barrett
  • Julia in Astronomy
Peter K. G. Williams
  • Interactively Visualizing Massive Images and Catalogs in Jupyter with AAS WorldWide Telescope
Pierre Fernique
  • CASSIS and Aladin interfaced for a VO-compliant spectral data cube analysis tool
Rachel Street
  • The TOM Toolkit: Power tools to enhance science and observations
Raul Infante-Sainz
  • Maneage: Managing data lineage for archivable reproducibility
  • Gnuastro hands-on tutorial for astronomical data analysis
Ricky O'Steen
  • Jdaviz: An interactive visual data analysis tool for JWST in the Jupyter platform
Samorodova Ekaterina
  • Astronomical Data Approximation Based on Neural Network Models
Sankalp Gilda
  • Uncertainty-Aware Learning for Improvements in Image Quality of the Canada-France-Hawaii Telescope
Simon O'Toole
  • FAIR standards for astronomical data
Slava Kitaeff
  • Designing the SKA Regional Centre Network
Sphesihle Makhathini
  • Stimela 2.0: containerization and workflow management for data pipelines
Stephen Potter
  • The Intelligent Observatory (South African Astronomical Observatory)
Sviatoslav Borisov
  • Multi-segment and Echelle stellar spectra processing issues and how to solve them
Thomas Boch
  • CASSIS and Aladin interfaced for a VO-compliant spectral data cube analysis tool
Tim Hostetler
  • Web accessibility trends and implementation in dynamic web applications
Urvashi Rau
  • Quantifying scientific correctness in radio interferometric imaging
Valentina Cesare
  • Gaia AVU-GSR parallel solver towards exascale infrastructure
Venustiano Soancatl Aguilar
  • A Tool to Explore Astronomical Databases and Transform Data into Planetarium Formats
Victoria Toptun
  • Homogenization of multi-wavelength photometric data for RCSEDv2
Vincent Picouet
  • Tackling the issue of image processing via plugins: the example of pyds9plugin
Vladislav Klochkov
  • Open-source web tools for visualization of imaging and spectral data in RCSEDv2
William O'Mullane
  • Rubin Science Platform on Google: the story so far.
Zahra Sharbaf
  • Gnuastro hands-on tutorial for astronomical data analysis