Schedule changes
Version 1.0 Sept. 29, 2022
We released a new schedule version!
Version 0.7 Sept. 29, 2022
We released a new schedule version!
We have new sessions!
- “Poster block 1” by ADASS Organizers
- “Poster block 2” by ADASS Organizers
- “Poster block 3” by ADASS Organizers
- “Poster block 4” by ADASS Organizers
We had to move some sessions, so if you were planning on seeing them, check their new dates or locations:
- “Future Proofing the Telescope Archive: Perspectives on Sustainability” by Brent Miszalski (Nov. 3, 2022, 11:30 p.m. → Nov. 3, 2022, midnight)
- “Cutting the cost of pulsar astronomy: Saving time and energy when searching for binary pulsars using NVIDIA GPUs” by Jack White (Nov. 2, 2022, 11:30 a.m. → Nov. 2, 2022, noon)
- “50 years of CDS, 30 years of Aladin project: status and perspectives of the HiPS ecosystem” by Thomas Boch (Oct. 31, 2022, 3:30 p.m. → Oct. 31, 2022, 11:45 a.m.)
- “astroML interactive book – a collaborative book for statistics and machine learning for astronomy” by Brigitta Sipőcz (Nov. 3, 2022, 11:15 p.m. → Nov. 3, 2022, 12:15 a.m.)
- “Concept for Collaborative and Guided Visual Analytics of Astrophysical and Planetary Data” by Manuela Rauch (Nov. 2, 2022, noon → Oct. 31, 2022, 11:30 a.m.)
- “A vision for the SKA Science analysis platform” by Yan Grange, Chris Skipper, Janneke de Boer (Nov. 2, 2022, 4 p.m. → Nov. 2, 2022, 3:45 p.m.)
- “The Bifrost Pipeline Processing Framework” by Jayce Dowell (Nov. 2, 2022, 3:45 p.m. → Nov. 2, 2022, 3:30 p.m.)
- “Veterans and novices” by Fanna Lautenbach, Yan Grange, Oindabi Mukherjee, Mattia Mancini, Klaas Kliffen (Oct. 31, 2022, 11:30 a.m. → Oct. 31, 2022, 3:30 p.m.)
- “Too Many Datasets: lessons learned from IRSA's ongoing conversion to CAOM” by Anastasia Laity (Oct. 31, 2022, 3:45 p.m. → Oct. 31, 2022, noon)
- “A Novel JupyterLab User Experience for Interactive Data Visualization” by Peter K. G. Williams (Nov. 2, 2022, 4:15 p.m. → Nov. 2, 2022, 4 p.m.)
- “A GPU-accelerated expectation-maximization framework for multiframe deconvolution and super-resolution of astronomical images” by Yashil Sukurdeep (Oct. 31, 2022, 4 p.m. → Nov. 2, 2022, 4:15 p.m.)
- “Machine learning bias and the annotation of large databases of astronomical objects” by Hunter Goddard (Nov. 3, 2022, 11 p.m. → Nov. 2, 2022, 11:45 p.m.)
- “The ESO Data Processing System (EDPS): A unified system for science data processing” by Stefano Zampieri, Stanislaw Podgorski (Nov. 2, 2022, 3:30 p.m. → Nov. 2, 2022, 11:30 a.m.)
Version 0.6 Sept. 29, 2022
We released a new schedule version!
We have new sessions!
- “Software Architecture and System Design of Rubin Observatory” by William O'Mullane
- “GPUs and multiclustering for big data computing” by Anna Anku
- “Improving the astronomy software ecosystem: Work done, work needed” by Alice Allen, Alberto Accomazzi
- “A multi-class object classifier for astronomical imaging surveys using Convolutional Neural Networks” by Gijs Verdoes Kleijn
- “The Asteroid Detection, Analysis, and Mapping (ADAM) Platform” by Nate Tellis, Kathleen Kiker
- “Consistency check of automatic pipeline measurements of quasar redshifts with Bayesian convolutional networks” by Petr Skoda, Ondřej Podsztavek
- “Publishing Software in a Refereed Journal” by Jessica Mink
- “Aladin Lite v3 release: Instructions to embed it into your own applications!” by Matthieu Baumann
- “The Bifrost Pipeline Processing Framework” by Jayce Dowell
- “General Coordinates Network (GCN): NASA’s Next Generation Time-Domain and Multimessenger Astronomy Alert System” by Judy Racusin, Dakota Dutko
- “The Fermi-LAT Dataserver Upgrade: A case study in modernizing legacy hardware and software” by Alexander Reustle
- “Off the Shelf or Build It Ourselves? The Nature of Components in Scientific Software” by Neil Ernst
- “Machine learning bias and the annotation of large databases of astronomical objects” by Hunter Goddard
- “Qserv: A distributed petascale database for the LSST Catalogs” by Fritz Mueller
- “Energy-efficient Deep Learning model for detecting and classifying galaxies” by Humberto Farias Aroca
- “Using the Astrophysics Source Code Library: Find, cite, download, parse, study, and submit” by Alice Allen
- “A Successful Machine Learning Approach to Detecting Kuiper Belt Objects for NASA’s New Horizons Extended Mission” by Wesley Fraser
- “Data management and execution systems for the Rubin Observatory Science Pipelines” by Nate Lust
- “ESA Datalabs: Unleashing a New Wave of Data Exploitation Opportunities” by Vicente Navarro
- “Cutting the cost of pulsar astronomy: Saving time and energy when searching for binary pulsars using NVIDIA GPUs” by Jack White
- “50 years of CDS, 30 years of Aladin project: status and perspectives of the HiPS ecosystem” by Thomas Boch
- “Using the SourceXtractor++ package for data reduction” by Martin Kuemmel
- “Veterans and novices” by Fanna Lautenbach, Yan Grange, Oindabi Mukherjee, Mattia Mancini, Klaas Kliffen
- “CHEOPS Science Operations Centre: lessons learned from a small class mission” by Anja Bekkelien
- “SsODNet: The Solar system Open Database Network” by Benoit Carry
- “Software Prize talk: astropy” by Erik Tollerud
- “The ESA Virtual Assistant in ESASky: enabling archival data exploration via natural language processing” by Marcos López-Caniego, Deborah Baines
- “The ESO Data Processing System (EDPS): A unified system for science data processing” by Stefano Zampieri, Stanislaw Podgorski
- “Future Proofing the Telescope Archive: Perspectives on Sustainability” by Brent Miszalski
- “New Methods for Artifact Detection in Interferometric Images: A Very Large Array Sky Survey Case Study” by Suhasini S Rao, Gregory Sivakoff
- “The ALeRCE broker: tools and services for astronomical alert stream” by Francisco Förster
- “The Good, the Bad, and the Ugly: how to improve software testing” by Nuria Lorente, Simon O'Toole, Jon Nielsen, Tony Farrell
- “Lessons Learned The Hard Way” by Ben Rusholme
- “Introducing LOFAR's new Telescope Manager & Specification System” by Jan David Mol
- “Scheduling the New Robotic Telescope in the Big data era” by David Law
- “Integral Archive: a new brand of science-oriented Science Archives at ESAC Science Data Centre” by Monica Fernandez Barreiro
- “Ensuring continuing trust in our numerical ecosystem” by James Tocknell
- “CANFAR: A Community-Built Astronomy Platform” by Brian Major
- “SpectraPy: a Python library for spectroscopic data reduction.” by Marco Fumana
- “The CASA software for Radio Astronomy: overview of framework, algorithms, and new VLBI capabilities” by Bjorn Emonts, Ilse van Bemmel
- “Challenges of long term support of legacy software in the SIMBAD service.” by Anaïs Oberto
- “DALiuGE: Data Processing Scheduling and Control at SKA Scale” by Andreas Wicenec
- “A GPU-accelerated expectation-maximization framework for multiframe deconvolution and super-resolution of astronomical images” by Yashil Sukurdeep
- “The Tools of our Trade” by Peter J. Teuben
- “Astronomical Algorithms R&D: A Radio Astronomy Prospective” by SANJAY BHATNAGAR
- “The carbon footprint of astronomical research infrastructures” by Jürgen Knödlseder
- “The MOONS Observation Preparation Software” by andrea belfiore
- “Optimise research with the European JWST Science Archive set of services” by Maria Arevalo Sanchez
- “SIPGI: an interactive pipeline for spectroscopic data reduction” by Susanna Bisogni
- “Modeling software solutions and computation facilities for FAIR access” by Sara Bertocco
- “Concept for Collaborative and Guided Visual Analytics of Astrophysical and Planetary Data” by Manuela Rauch
- “Having fun with legacy code” by Ole Streicher
- “A vision for the SKA Science analysis platform” by Yan Grange, Chris Skipper, Janneke de Boer
- “Too Many Datasets: lessons learned from IRSA's ongoing conversion to CAOM” by Anastasia Laity
- “A Novel JupyterLab User Experience for Interactive Data Visualization” by Peter K. G. Williams
- “Machine learning methods for the search for L&T brown dwarfs in the data of modern sky surveys” by Aleksandra Avdeeva
- “Enabling data discovery in big datasets” by Pilar de Teodoro
Version 0.5 Sept. 29, 2022
We released a new schedule version!
We had to move some sessions, so if you were planning on seeing them, check their new dates or locations:
- “An Introduction to the Julia Programming Language” by Paul Barrett (Oct. 31, 2022, 7 p.m. → Nov. 4, 2022, 7 p.m.)
- “Interactive Visualization in the Age of the Science Platform: Huge FITS Images in JupyterLab with AAS WorldWide Telescope” by Peter K. G. Williams (Nov. 4, 2022, 7 p.m. → Oct. 31, 2022, 7 p.m.)
Version 0.4 Sept. 29, 2022
We released a new schedule version!
We have new sessions!
- “Leveraging Rust and its ecosystem for the development of astronomical tools and services.” by F.-X. Pineau
- “Center-surround application to JWST NIRISS Aperture Masking Interferometry observations of Io” by D. Thatte
- “astroML interactive book – a collaborative book for statistics and machine learning for astronomy” by Brigitta Sipőcz
- “Interactive Visualization in the Age of the Science Platform: Huge FITS Images in JupyterLab with AAS WorldWide Telescope” by Peter K. G. Williams
- “Firefly - Data Access, Exploratory Analysis, and Visualization of Astronomical Data” by Gregory Dubois-Felsmann
We have moved a session around: “An Introduction to the Julia Programming Language” by Paul Barrett (Oct. 31, 2022, 3 p.m. → Oct. 31, 2022, 7 p.m.)
Version 0.3 Sept. 26, 2022
We released a new schedule version!
We have new sessions!
Version 0.2 May 18, 2022
We released a new schedule version!
Version 0.1 March 18, 2022
We released our first schedule!