Introduction

All contributions to ADASS 2020 have been assigned a unique identifier in the form XT-N, where:

  • X is P for posters, O for talks, I for invited talks, B for BoFs, H for special talks (e.g. the software prize talk) and D for focus demos.
  • T is the theme number (1 to 11). Contributions that specified more than one theme were assigned one specific theme just to make the various themes not too unbalanced.
  • N is just a running number.

For instance, a fantastic PID is O11-35 ;-)

We call these unique identifiers PIDs.

Themes

  • 1: Science Platforms and Data Lakes
  • 2: Cloud Computing at Different Scales
  • 3: Cross-Discipline Projects
  • 4: Multi-Messenger Astronomy
  • 5: Machine Learning, Statistics, and Algorithms
  • 6: Time-Domain Ecosystem
  • 7: Citizen Science Projects in Astronomy
  • 8: Data Processing Pipelines and Science-Ready Data
  • 9: Data Interoperability
  • 10: Open Source Software and Community Development in Astronomy
  • 11: Other

PIDs

The PID codes below determine the FPT folder and file nomenclature you must follow when uploading to the ADASS 2020 FTP site any content related to your contribution. See Instructions for authors for more details.

To help you in preparing your proceedings manuscript, we offer personalized archive packages. You may download yours from your PID link in the list below, unpack it, replace the unpacked files in the Author_Template folder issued from ADASS2020.tar, and use the <PID>.tex file to prepare your manuscript. See Proceedings for more details.

PID     | Title
O1-22   | TOPCAT Visualisation over the Web
O1-32   | Serving power-users and novices. Architecture and lessons learned with science platform MuseWISE.
P1-59   | Discovering data with the ESCAPE Science Analysis Platform
P1-82   | Data Central Science Platform (Astronomy and Beyond)
D1-102  | CheckpointRestoreand Live Migration for Science Platforms
P1-121  | The architectural design for the logging monitoring and alarm systems for the ASTRI mini-array
O1-124  | A microservice-oriented science platform architecture
I1-159  | Enabling next-generation science investigations with the NASA Astrophysics Archives
P1-184  | Development deployment and testing of Jupyter notebooks at Astro Data Lab
P1-190  | ASTRI Virtual Test Bed: from Prototype to Mini-Array
P1-248  | A prototype for handling observations proposals for the CTA observatory
P1-255  | Requirement analysis for HPC&HTC infrastructures integration in ESCAPE Science Analysis Platform
P1-228  | CV Portal: A collaborative cataclysmic variables web-based portal
P1-186  | Accessing Radio Data with the NRAO NINE Program
P1-165  | LOFAR strides towards a truly multi-tasking radio telescope with its mega mode correlator
O1-115  | Development of Scientific Data Applications for Science Cloud Platforms
O1-112  | Realtime Data Transferring and Processing from Remote Telescopes Using Apache NiFi and MongoDB
O1-98   | Interactive exploration framework for big data sets
O1-68   | Aladin Lite v3: behind the scenes of a major overhaul
D1-66   | Radiopadre: remote interactive zero-admin visualization of data pipeline products
I2-60   | All the shades of the Cloud
B2-73   | Cost Management on Commercial Cloud Platforms
O2-157  | Calibrating Hubble Data in the Commercial Cloud
P2-263  | ChiVOData:  A scalable data science platform for  the heterogeneity of astronomical data in an HPC environment.
P2-259  | SKA Regional Centre Prototype at IAA-CSIC: building an Open Science platform based on cloud services
P2-246  | xova - a Baseline-Dependent Time and Channel Averaging Implementation
P2-236  | Implementing a NUFFT in Dask for Radio Astronomy Applications
P2-230  | Advanced Analysis Systems at CASU
P2-219  | Application of Commercial Cloud Platforms in Astrophysics. The case of Amazon Web Services
P2-205  | Next Generation CASA
P2-122  | SCIMMA: Scalable Cyberinfrastructure to support Multi-Messenger Astrophysics
D2-109  | Introducing the Trillian Framework and Science Data Descriptors
P2-108  | Removing What’s Unnecessary: A New Design Language for Working With Astronomical Data
D2-29   | Pangeo Data Analysis Platform at CNES and Astronomical Use Cases
P2-16   | Novel EOSC Services for Space challenges: the NEANIAS first outcomes
O2-14   | ESA Datalabs: an e-Science Platform for Data Exploitation and Preservation at ESAC
P3-15   | SOCCI - A Multi-Mission Software Engineering Platform for Science Operations
I3-20   | PySAP: From Galaxies to Brains and Beyond
P3-204  | ESCAPE - addressing Open Science challenges.
P3-266  | Improvements to development and operations practices in data processing pipelines and astronomy software
P3-257  | FITS2OSC. A Sonification Pipeline for Lightcurve Interactive Auditory Exploration
P3-231  | Colibri - The coincidence library for real-time inquiry for multi-messenger astrophysics
P3-227  | A Multi-protocol Communication System for maintenance procedures of the ASTRI-Horn Cherenkov Camera
P3-181  | MANGO: a VO Model for Source Data
P3-171  | Efficient machine learning methods for cosmology
P3-169  | Results from the ESA Astronomy Space Science Archives User Survey
P3-162  | Open-source Scientific Software and Service Repository
O3-137  | Exploring the Universe with pyESASky JupyterLab widget
O3-136  | Analyzing Scientific Big Data with the Helmholtz Analytics Toolkit (HeAT)
P3-134  | Disentangled Representation Learning for Astronomical Chemical Tagging
O3-130  | iDaVIE-v: immersive Data Visualisation Interactive Explorer for volumetric rendering
O3-78   | Holding the Cosmos in Your Hand: Developing 3D Data Pipelines
P3-41   | mirkwook: SED Fitting for the Twenty First Century
P4-34   | On the cosmic isotropic background from the radio to the far-IR: a new method for theoretical predictions of the frequency spectrum from monopole to higher multipoles for a moving observer
O4-79   | On the capability to encoding gravitational-wave sky localizations with the Multi Order Coverage data structure: present and future developments
P4-127  | Status of the real-time multi-messenger program of KM3NeT
O4-144  | Supporting observatory coordination with new standards: current status
P4-167  | GWSky: an Augmented Reality Mobile App for Gravitational Waves Sky Localization
P4-174  | Optical identification of X-ray sources in the HS47.5-22 field
P4-176  | ShowerModel: A Python package for modeling cosmic-ray induced air showers their light production and detection
P4-185  | Hybrid SEDs for neutrino events integrated in the SEDBuilder tool of the ASI-SSDC MWL environment.
P4-252  | Search for Spatial and Temporal Coincidence Between LAT/Fermi Exposure Maps and GW Sky Localizations
P4-243  | Discussion towards reliable and productive astronomical data archives
B4-154  | Standardizing New and Improving Old Data Formats in Astronomy
O4-151  | Using Artificial Neural Networks to detect astronomical transients
B4-95   | It worked on my laptop! - how to approach reproducibility in astronomy?
P4-76   | A Next-Generation Data Processing Framework for Pulsar-based Gravitational Wave Detectors
P4-24   | RTApipea framework to develop Astronomical pipelines for the real-time analysis of scientific data.
P5-13   | Disentangling the γ-ray Sky with Bayesian Graph Convolutional Neural Networks
P5-19   | Bayesian Gaussian decomposition of multi-wavelength molecular spectra with Amoeba
O5-37   | Probing neural networks for science: What is it they are learning?
P5-48   | Reconstruction of stereoscopic IACT events using deep learning techniques with CTLearn
P5-51   | Event analysis in KM3NeT using machine learning
P5-54   | An astronomical image content-based recommendation system using combined deep learning models in a fully unsupervised mode
P5-58   | A practical pre-conditioner for wide-field continuum imaging of radio interferometric data:
P5-62   | Single Imaging Atmospheric Cherenkov Telescope full-event reconstruction with a deep multi-task learning architecture
O5-77   | Exploring the use of Graph and Machine / Deep Learning technologies with the NASA ADS content
P5-80   | An Iterative Reconstruction Algorithm for Faraday Tomography
P5-83   | Exploring Coronal Heating Using Unsupervised Machine-Learning
P5-87   | Data scientific approaches to efficient sky noise removal in submillimeter single-dish spectroscopy
P5-88   | Analyzing data from unknown statistical distribution.
P5-107  | Imbalanced Learning for RR Lyrae Star Detection
P5-116  | Finding new QSOs in photometric catalogs using machine learning: the QUBRICS survey.
P5-140  | The Gaia Archive Users
P5-163  | Complementary Theory and Data Driven Analysis for Sky Surveys
P5-168  | Athena/X-IFU pulse identification using Convolutional Neural Networks
P5-173  | Machine Learning using the Nvidia Jetson Nano
I5-175  | From Photometric Redshifts to Improved Weather Forecasts: an interdisciplinary view on machine learning in astronomy
P5-177  | Chemo-kinematic analysis of metal-poor stars with unsupervised machine learning
P5-183  | Classification of Astrophysics Journal Articles with Machine Learning
P5-187  | VLASS Quicklook Image Classifier using PyTorch
P5-213  | Fitting of optical galaxy spectra based on machine learning
P5-215  | Probabilistic photo-z machine learning models for X-ray sky surveys
P5-217  | Transfer Learning in Large Spectroscopic Surveys
P5-223  | Stellar Formation in NGC 2366: Searching for clusters and associations using unsupervised algorithms
P5-225  | A solar spectral irradiance prediction workflow using a recurrent neural network in a reproducible and replicable approach
P5-242  | 21st Century Supermoon Estimation in R
P5-256  | SRGz: machine learning engine for cross-match classification and photo-z measurements in the SRG/eROSITA sky survey
P5-260  | Predicting Star Formation Rates Using SDSS Data
P5-262  | Tensor Mask R-CNN: A Tensor-based Deep Learning approach for fast morphological classification and segmentation of Galaxies.
P5-245  | Neural network for stellar spectrum normalization
P5-64   | Astrocook: quasar spectral analysis made easy
P5-61   | A Two-Stage Deep Learning Detection Classifier for the ATLAS Asteroid Survey
O5-36   | Machine-Assisted Discovery Through Identification and Explanation of Anomalies in Astronomical Surveys
O6-30   | Storage Schema of Time Series Astronomical Data for Artificial Intelligence Analysis
P6-110  | Systematic search for gamma-ray periodicity in active galactic nuclei detected by the Fermi-Large Area Telescope
P6-125  | Real-time triggering capabilities for Fast Radio Bursts at the MeerKAT telescope
I6-265  | What did we get right? Lessons learned from the first 300 million alerts of ZTF
P6-251  | Two co-addition and image subtraction codes: proper image and ois
P6-234  | Using Convolutional Neural Networks along image subtraction for detecting weak optical transients
P6-224  | IVOA Data Access Layer: roadmap as of year 2020
P6-218  | Transient processing and analysis with AMPEL
P6-194  | Microlensing Modeling Code - MulensModel
P6-158  | Working with large catalogs using the Astronomy eXtensions for Spark (AXS) framework
P6-152  | The Time-series Integrated Knowledge Engine
O6-104  | Astronify: listening to the stars
P6-92   | Observation meta data plotting tool - Omedaplot
P6-43   | Orchestration of Dockerized Data Reduction Pipelines from a RESTful Web Service
P6-40   | Data handling at the IRAM 30m for NIKA2 operations
I6-31   | Machine Learning for the Zwicky Transient Facility
I6-25   | Developing a Data Carpentry Curriculum for the Astronomical Community
O7-153  | Hubble Asteroid Hunter: exploring the ESA Hubble archives with citizen science
P7-166  | First data release of the SuperWASP Variable Stars Zooniverse project
P7-237  | Variable Stars in Gaia DR2: A Citizen Science project
P7-206  | Morphological classification of astronomical images with limited labelling
O7-155  | The Hubble Image Similarity Project
P7-74   | Data-driven fitness functions for optimizing simulations of interacting galaxies
P7-139  | Using deep learning to identify asteroid trails on ESA's Hubble data archive
D7-114  | Arcsecond.io: an hybrid commercial/citizen-science project for astronomical observations
P7-74   | Data-driven fitness functions for optimizing simulations of interacting galaxies
O7-52   | Citizen science with the TESS photometer network
O7-45   | CICLOPS: CItizen Computing Pulsar Searches
I7-21   | Galaxy Zoo & The Zooniverse - citizen science as a powerful tool in the age of big data
P8-17   | Prototyping astronomical science pipelines with script generators
P8-26   | A Novel Real-Time Radio Transient Imager for LWA-SV
P8-28   | Proof-of-concept gridded visibility stacking pipeline for deep spectral line interferometric imaging
P8-38   | Validating data reduction algorithms through advanced instrument simulation - the case of HARMONI
P8-46   | The CFIS processing pipeline
P8-55   | QuartiCal - Accelerating calibration using Numba and Dask
I8-57   | NOEMA: How 1Million lines of code make the optically dark universe visible
O8-63   | Tiling the Euclid Sky
P8-67   | The ALMA Re-Imaging for Legacy Project
P8-84   | lstchain: An analysis pipeline for LST-the first prototype Large Size Telescope of CTA
P8-90   | The High Level Data Reduction Library
I8-105  | The Pan-STARRS IPP : Lessons Learned and Looking Forward
O8-111  | A scalable transient detection pipeline for the Australian SKA Pathfinder VAST survey
P8-117  | The evolution of the MeerLICHT and BlackGEM data pipelines
P8-118  | rta-dq-lib: a library to perform online data quality analysis of scientific data
P8-128  | Enriching Data Archives with Science Products
O8-131  | Distributed Streaming Radio Astronomy Reduction with Dask
D8-132  | Parallel Radio Astronomy Application Development with Dask and Numba
P8-138  | Onsite processing pipeline for the CTA Large Size Telescope prototype
P8-142  | Automatic science-quality processing of the Gemini NIFS archive
P8-145  | Parallelisation of the wide-band wide-field spectral deconvolution framework DDFacet on distributed memory HPC system
P8-148  | Correcting Inter-Waveband Positional Errors in Sloan Images
P8-182  | Filabres: a new pipeline for the automatic data reduction of CAFOS direct imaging
P8-191  | shadeMS: rapid plotting of Big radio interferometry Data
P8-193  | The CASA Software for Radio Astronomy: Status Update from ADASS 2020
P8-195  | Performance improvement of the Data Acquisition System to support the observation quality system of the ASTRI Mini-Array
P8-198  | Pipeline Calibration and Imaging for the Nobeyama 45m Radio Telescope
P8-210  | The Light Curve Fitter: A novel application for deconvolving two superimposed sinusoidal waves.
P8-221  | Implementing CUDA Streams into AstroAccelerate – A Case Study
P8-222  | Processing and calibration of the deepest low frequency images of the sky
P8-235  | Implementation of the 3D degridding for the NVIDIA GPUs using CUDA
P8-238  | Development of a widefield mosaic imaging pipeline for e-MERLIN
P8-247  | PyCPL: the ESO Common Pipeline Library in the Python age
P8-249  | Sensitivity of Line Emissivities to Atomic Uncertainties with PyAtomDB
P8-258  | Crystalballa Dask and Numba accelerated DFT Model Predict
P8-264  | ChiVo-Tools: a deep learning tool for exploratory analysis of astronomical data for the Jupyter notebook
I9-23   | Data Interoperability - the CDS experience
B9-56   | Practical Provenance in Astronomy
P9-72   | Radio Astronomy visibility data discovery and access using IVOA standards
P9-89   | OPUS: an interoperable job control system based on VO standards
O9-120  | Data Interoperability at the core of The Euclid Scientific Archive System
P9-178  | The Common Archive Observation Model at MAST
P9-201  | Hipsgen: the Hierarchical Progressive Survey generation tool
P9-202  | Re-engineered ISO Data Archive. An infrared astronomy legacy treasure
P9-216  | Exploring Provenance tracing for VizieR catalogues
P9-233  | Building a Search Discovery System Powered by Graphs at MAST
P9-250  | Storing Provenance information in a data processing workflow: CTA use case
P9-253  | CDS 'virtual' Simple Image Access service
P9-226  | The KM3NeT Open Science Portal
P9-170  | Innovative tools fostered by the HiPS ecosystem
P9-141  | Preparation for Gaia EDR3 in the ESA Gaia Archive
P9-119  | Hangar at VIRGO
P9-113  | A modular web application for astronomical instrument data analysis and monitoring services
P9-103  | ASCL's New API: Query Our Database
O9-94   | Using Docker in a radio-astronomy environment
B9-86   | Standardisation of Data Formats in Gamma-ray astronomy
P9-81   | CARACal - The Containerized Automated Radio Astronomy Calibration Pipeline
B9-50   | Radio data archives round table
P9-49   | Spreading the word – current status of VO tutorials and schools
O9-27   | The Advanced Scientific Data Format (ASDF): Why you should use it
P10-33  | Bibmanager: Automated BibTeX Management for Astronomers
I10-39  | Astropy
O10-53  | The Multi-Mission Maximum Likelihood Framework threeML: Multi-wavelength astronomy in practice
P10-71  | Intuitive GUI to restore Corrupted Data: A Support for Preservation and Curation of the Astronomical Data
P10-101 | Gammapy: An open-source Python package for gamma-ray astronomy
P10-123 | Agilepy: A Python framework for scientific analysis of AGILE data
B10-129 | How to better describe software for discovery and citation
B10-133 | Best licensing practices
P10-135 | CLU: a new framework for message passing for operations software
P10-161 | Herschel PACS Integral Field Unit data visualisation and analysis: an ESAC Science Data Centre notebook for Datalabs
P10-179 | Controlling and Monitoring Logging of the New Archiving Distributed Infrastructure (NADIR)
P10-192 | The International Virtual Observatory Alliance (IVOA)  in 2020
P10-209 | RaGaVi: A Radio Astronomy Gains and Visibilities Inspector
P10-212 | Making organizational software easier to find in ASCL and ADS
H10-232 | CFITSIO - 3 decades of collaborative software development
P10-244 | Tricolour: an optimized parallel sum threshold flagger for MeerKAT
P10-241 | An update on the development of ASPIRED
P10-229 | Community engagement in pipeline development using CWLa case study for LOFAR
P10-207 | The KERN Suite: Taming the Radio Astronomy Software Ecosystem
P10-150 | PINT: A Modern Software Package for Pulsar Timing
P10-100 | The Pulsar Signal Simulator: A Python-based Package for Simulating Pulsar Data for Science and Education
P10-97  | Containerised scripting for radio interferometry
P10-75  | Spectroscopic Data Reduction on your web browser
P10-44  | DiSkO: Discrete-sky Bayesian Synthesis Imaging
P10-18  | A Machine Learning Approach To Sitelle Spectral Analysis
O11-35  | Organising ADASS in a Pandemic
B11-143 | BoF: Interoperability of Users Developers and Managers
P11-69  | agnpy: numerical modelling of AGN spectra in python
P11-146 | Numerical code generation from symbolic expressions in Python
P11-172 | STARLINK - the original and best
P11-188 | It is Tango time:  The M&C system for LOFAR2.0 stations
P11-189 | Observing scripts in kosma_software used on GREAT/SOFIA: modularity flexibility efficiency
P11-196 | How reliable are galaxies physical parameters estimations for LSST main sequence sample?
P11-197 | VIPERS: Fundamental Metallicity Relation and its projections. How observational bias affect their shape
P11-203 | Dust attenuation in ALMA-detected dusty star-forming galaxies in the COSMOS field
P11-211 | Five years of the new 'Hedwig' proposal system at the JCMT
P11-239 | Lessons Learned regarding Software Tools used during the 1st DKIST Proposal Call
P11-254 | Improving the good: the upgrade of the IRAM 30-meter millimetre telescope
P11-240 | HII regions in the CALIFA survey
P11-220 | Automated system to generate calibrated MeasurementSet in East Asian ALMA Regional Center
P11-214 | Efficient image visualization with CARTA - introduction and development update
P11-208 | An automated pipeline for the VST data log analysis
P11-199 | JVO Subaru Suprime-Cam Mosaic Image Archive DR2
P11-180 | APECS - The APEX Control System
O11-156 | astroquery: a community driven collaboration of data providers and data consumers
P11-147 | The technical challenges of implementing DOIs at the ESA Science Data Center (ESDC)
O11-96  | Astronomical research in the next decade: trends barriers and needs in data access management visualization and analysis
T1      | A Hands-on Introduction to Deep Learning with DeepForge
T2      | Interactively exploring and visualizing data on the sky with Jupyter and pywwt
T3      | From Semantic segmentation to Instance Segmentation using DeepLearning
T4      | Multimessenger Astronomy with ObsTAP and pyVO