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.
- 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
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