Posters

NOTE

There are no specific posters sessions scheduled. Instead conference participants will be allowed to download the PDF poster files from this list. They could also download optional complementary self-recorded lightning talks as MP4 video files. Access authentication info will be delivered in Discord, where participants could also interact with posters authors individually or within the #posters channel.

SCIENCE PLATFORMS AND DATA LAKES

• 📑 Accessing Radio Data with the NRAO NINE Program, John Beasley
• 📑 A prototype for handling observations proposals for the CTA observatory, Bruno Khelifi
• 📑 ASTRI Virtual Test Bed: from Prototype to Mini-Array, Fulvio Gianotti
• 📑 CV Portal: A collaborative cataclysmic variables web-based portal, Rafael Duarte Coelho dos Santos
• 📑🎦 Development, deployment, and testing of Jupyter notebooks at Astro Data Lab, Robert Nikutta
• 📑 Discovering data with the ESCAPE Science Analysis Platform, Hugh Dickinson
• 📑 Requirements analysis for HPC&HTC infrastructures integration in ESCAPE Science Analysis Platform, Sara Bertocco
• 📑 The architectural design for the logging, monitoring and alarm systems for the ASTRI mini-array, Alessandro Costa

CLOUD COMPUTING AT DIFFERENT SCALES

• 📑 Advanced Analysis Systems at CASU, Nicholas Walton
• 📑 Implementing a NUFFT in Dask for Radio Astronomy Applications, Jan-Willem Steeb
• 📑 Next Generation CASA, Ryan Raba
• 📑🎦 Novel EOSC Services for Space challenges: the NEANIAS first outcomes, Eva Sciacca
• 📑 SKA Regional Centre Prototype at IAA-CSIC: building an Open Science platform based on cloud services, Susana Sánchez Expósito
• 📑 xova - a Baseline-Dependent Time and Channel Averaging Implementation, Marcellin Atemkeng

CROSS-DISCIPLINE PROJECTS

• 📑 A Multi-protocol Communication System for maintenance procedures of the ASTRI-Horn Cherenkov Camera, Mattia Corpora
• 📑 Colibri - The coincidence library for real-time inquiry for multi-messenger astrophysics, Patrick Reichherzer
• 📑 Efficient machine learning methods for cosmology, Eric Howard
• 📑 ESCAPE - addressing Open Science challenges., Mark Allen
• 📑🎦 FITS2OSC. A Sonification Pipeline for Lightcurve Interactive Auditory Exploration, Adrian Garcia Riber
• 📑🎦 Improvements to development and operations practices in data processing pipelines and astronomy software, Rosa Diaz
• 📑🎦 MANGO: a VO Model for Source Data, Laurent Michel
• 📑 Open-source Scientific Software and Service Repository, Thomas Vuillaume
• 📑 Results from the ESA Astronomy Space Science Archives User Survey, Deborah Baines

MULTI-MESSENGER ASTRONOMY

• 📑 Discussion towards reliable and productive astronomical data archives, Hisanori Furusawa
• 📑🎦 GWSky: an Augmented Reality Mobile App for Gravitational Waves Sky Localization, Valerio Tonelli
• 📑 Hybrid SEDs for neutrino events integrated in the SEDBuilder tool of the ASI-SSDC MWL envinronment., Fabrizio Lucarelli
• 📑 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, Carlo Burigana
• 📑🎦 Optical identification of X-ray sources in the HS47.5-22 field, Aleksandra Grokhovskaya
• 📑 RTApipe, a framework to develop Astronomical pipelines for the real-time analysis of scientific data., Nicolò Parmiggiani
• 📑🎦 Search for Spatial and Temporal Coincidence Between LAT/Fermi Exposure Maps and GW Sky Localizations, Alessandra Berretta
• 📑🎦 ShowerModel: A Python package for modeling cosmic-ray induced air showers, their light production and detection, Daniel Morcuende
• 📑 Status of the real-time multi-messenger program of KM3NeT, Massimiliano Lincetto

MACHINE LEARNING, STATISTICS, AND ALGORITHMS

• 📑 21st Century Supermoon Estimation in R, Travis Stenborg
• 📑 An astronomical image content-based recommendation system using combined deep learning models in a fully unsupervised mode, Hossen Teimoorinia
• 📑 An Iterative Reconstruction Algorithm for Faraday Tomography, Suchetha Cooray
• 📑 A practical pre-conditioner for wide-field continuum imaging of radio interferometric data:, Landman Bester
• 📑 A solar spectral irradiance prediction workflow using a recurrent neural network in a reproducible and replicable approach, Amita Muralikrishna
• 📑 Astrocook: quasar spectral analysis made easy, Guido Cupani
• 📑 Athena/X-IFU pulse identification using Convolutional Neural Networks, Jesús Vega Ferrero
• 📑 Chemo-kinematic analysis of metal-poor stars with unsupervised machine learning, André Rodrigo da Silva
• 📑 Classification of Astrophysics Journal Articles with Machine Learning, Tracy Chen
• 📑 Complementary Theory and Data Driven Analysis for Sky Surveys, Sébastien Fabbro
• 📑 Disentangling the γ-ray Sky with Bayesian Graph Convolutional Neural Networks, Florian List
• 📑 Event analysis in KM3NeT using machine learning, Bernardino Spisso
• 📑🎦 Exploring Coronal Heating Using Unsupervised Machine-Learning, Shabbir Nuruddin Bawaji
• 📑 Finding new QSOs in photometric catalogs using machine learning: the QUBRICS survey., Giorgio Calderone
• 📑 Fitting of optical galaxy spectra based on machine learning, Kazumi Murata
• 📑 Machine Learning using the Nvidia Jetson Nano, Brian Kent
• 📑 Neural network for stellar spectrum normalization, Tomasz Różański
• 📑 Predicting Star Formation Rates Using SDSS Data, Aidan Berres
• 📑 Probabilistic photo-z machine learning models for X-ray sky surveys, Viktor Borisov
• 📑 Reconstruction of IACT events using deep learning techniques with CTLearn, Daniel Nieto Castaño
• 📑 Single Imaging Atmospheric Cherenkov Telescope full-event reconstruction with a deep multi-task learning architecture, Mikaël Jacquemont
• 📑 Stellar Formation in NGC 2366: Searching for clusters and associations using unsupervised algorithms, Carlos Feinstein
• 📑 Tensor Mask R-CNN: A Tensor-based Deep Learning approach for fast morphological classification and segmentation of Galaxies., Humberto Farias
• 📑 Transfer Learning in Large Spectroscopic Surveys, Ondřej Podsztavek
• 📑🎦 VLASS Quicklook Image Classifier using PyTorch, Mauricio Rodríguez Alas

TIME-DOMAIN ECOSYSTEM

• 📑🎦 IVOA Data Access Layer: roadmap as of year 2020, Marco Molinaro
• 📑🎦 Microlensing Modeling Code - MulensModel, Radek Poleski
• 📑 Observation meta data plotting tool - Omedaplot, Jan Snigula
• 📑 Orchestration of Dockerized Data Reduction Pipelines from a RESTful Web Service, Brent Miszalski
• 📑 Real-time triggering capabilities for Fast Radio Bursts at the MeerKAT telescope, Fabian Jankowski
• 📑 The Time-series Integrated Knowledge Engine, Susan E. Mullally
• 📑 Two co-addition and image subtraction codes: properimage and ois, Bruno Sanchez
• 📑🎦 Working with large catalogs using the Astronomy eXtensions for Spark (AXS) framework, David Shupe

CITIZEN SCIENCE PROJECTS IN ASTRONOMY

• 📑🎦 Data-driven fitness functions for optimizing simulations of interacting galaxies, Graham Taylor West
• 📑 Morphological classification of astronomical images with limited labelling, Andrey Soroka
• 📑 SuperWASP Variable Stars: Classifying Light Curves Using Citizen Science, Heidi Thiemann

DATA PROCESSING PIPELINES AND SCIENCE-READY DATA

• 📑 A Novel Real-Time Radio Transient Imager for LWA-SV, Hariharan Krishnan
• 📑 Automatic science-quality processing of the Gemini NIFS archive, Nat Comeau
• 📑 ChiVo-Tools: a deep learning tool for exploratory analysis of astronomical data for Python and as a Web Service, Ariel Tirado
• 📑 Correcting Inter-Waveband Positional Errors in Sloan Images, Wayne B. Hayes
• 📑 Crystalball, a Dask and Numba accelerated DFT Model Predict, Paolo Serra
• 📑 Development of a widefield mosaic imaging pipeline for e-MERLIN, Bob Watson
• 📑 Enriching the ALMA Data Archive with Science Products, Peter Teuben
• 📑 Filabres: a new pipeline for the automatic data reduction of CAFOS direct imaging, Nicolás Cardiel
• 📑 Implementation of the 3D degridding for the NVIDIA GPUs using CUDA, Karel Adámek
• 📑 Implementing CUDA Streams into AstroAccelerate – A Case Study, Jan Novotny
• 📑 lstchain: An analysis pipeline for LST-1, the first prototype Large-Sized Telescope of CTA, Ruben Lopez-Coto
• 📑🎦 LSTOSA: Onsite processing pipeline for the CTA Large Size Telescope prototype, Jose Enrique Ruiz
• 📑 Parallelisation of the wide-band wide-field spectral deconvolution framework DDFacet on distributed memory HPC system, Nicolas Monnier
• 📑🎦 Performance improvement of the Data Acquisition System to support the observation quality system of the ASTRI Mini-Array, Vito Conforti
• 📑 Pipeline Calibration and Imaging for the Nobeyama 45m Radio Telescope, Takeshi Nakazato
• 📑 Processing and calibration of the deepest low frequency images of the sky, Jose Sabater
• 📑 Proof-of-concept gridded visibility stacking pipeline for deep spectral line interferometric imaging, Kristof Rozgonyi
• 📑 PyCPL: the ESO Common Pipeline Library in the Python age, Nuria Lorente
• 📑🎦 QuartiCal - embarrassingly parallel calibration of radio interferometer data using Numba and Dask, Jonathan Kenyon
• 📑 rta-dq-lib: a library to perform online data quality analysis of scientific data, Leonardo Baroncelli
• 📑 Sensitivity of Line Emissivities to Atomic Uncertainties with PyAtomDB, Keri Heuer
• 📑 shadeMS: rapid plotting of Big radio interferometry Data, Oleg Smirnov
• 📑 The ALMA Re-Imaging for Legacy Project, Felix Stoehr
• 📑 The CASA Software for Radio Astronomy: Status Update from ADASS 2020, Bjorn Emonts
• 📑 The CFIS processing pipeline, Stephen Gwyn
• 📑 The evolution of the MeerLICHT and BlackGEM data pipelines, Bart Scheers
• 📑🎦 The High-level Data Reduction Library - A Library for ESO's Data Reduction Pipelines, Andrea Modigliani
• 📑 Validating data reduction algorithms through advanced instrument simulation - the case of HARMONI, Aurelien Jarno

DATA INTEROPERABILITY

• 📑 AIDA, a modular web application for astronomical data analysis and instrument monitoring services, Giuseppe Riccio
• 📑 ASCL's New API: Come Query Our Database!, Siddha Mavuram
• 📑 Building a Search Discovery System Powered by Graphs at MAST, Sarah Weissman
• 📑 CARACal - The Containerized Automated Radio Astronomy Calibration Pipeline, Gyula I. G. Jozsa
• 📑🎦 CDS "virtual" Simple Image Access service, François Bonnarel
• 📑 Exploring Provenance tracing for VizieR catalogues, Gilles Landais
• 📑 Hangar at VIRGO, Filippo Quarenghi
• 📑 Hipsgen: the Hierarchical Progressive Survey generation tool, Caroline Bot
• 📑 Innovative tools fostered by the HiPS ecosystem, Thomas Boch
• 📑🎦 OPUS: an interoperable job control system based on VO standards, Mathieu Servillat
• 📑🎦 Radio Astronomy visibility data discovery and access using IVOA standards, Mireille Louys
• 📑🎦 Re-engineered ISO Data Archive. An infrared astronomy legacy treasure, Jesus Salgado
• 📑🎦 Spreading the word – current status of VO tutorials and schools, Katharina Lutz
• 📑 Storing Provenance information in a data processing workflow: one CTA use case, Michèle Sanguillon
• 📑 The Common Archive Observation Model at MAST, David Rodriguez
• 📑🎦 The KM3NeT Open Science System, Jutta Schnabel

OPEN SOURCE SOFTWARE AND COMMUNITY DEVELOPMENT IN ASTRONOMY

• 📑 Agilepy: A Python framework for scientific analysis of AGILE data, Andrea Bulgarelli
• 📑 A Machine Learning Approach To Sitelle Spectral Analysis, Carter Rhea
• 📑 An update on the development of ASPIRED, Marco Lam
• 📑🎦 Bibmanager: Automated BibTeX Management for Astronomers, Patricio Cubillos
• 📑 Community engagement in pipeline development using CWL, a case study for LOFAR, Mattia Mancini
• 📑🎦 Controlling and Monitoring Logging of the New Archiving Distributed Infrastructure (NADIR), Cristina Knapic
• 📑🎦 Gammapy: An open-source Python package for gamma-ray astronomy, Atreyee Sinha
• 📑 Herschel PACS Integral Field Unit data visualisation and analysis: an ESAC Science Data Centre notebook for Datalabs, Elena Puga
• 📑🎦 "Intuitive GUI to restore Corrupted Data: A Support for Preservation and Curation of the Astronomical Data", Marina Vela Nunez
• 📑🎦 Making organizational software easier to find in ASCL and ADS, Alice Allen
• 📑 RaGaVi: A Radio Astronomy Gains and Visibilities Inspector, Lexy Andati
• 📑🎦 Spectroscopic Data Reduction on your web browser, Simón Torres
• 📑 The International Virtual Observatory Alliance (IVOA) in 2020, G. Bruce Berriman
• 📑 The KERN Suite: Taming the Radio Astronomy Software Ecosystem, Athanaseus Javas Ramaila
• 📑🎦 The Pulsar Signal Simulator: A Python-based Package for Simulating Pulsar Data for Science and Education, Brent Shapiro-Albert
• 📑🎦 Tricolour: an optimized parallel sumthreshold flagger for MeerKAT, Benjamin Hugo

OTHER

• 📑 agnpy: numerical modelling of AGN spectra in python, Cosimo Nigro
• 📑 An automated pipeline for the VST data log analysis, Salvatore Savarese
• 📑 APECS - The APEX Control System, Dirk Muders
• 📑 Automated system to generate calibrated MeasurementSet in East Asian ALMA Regional Center, Yohei Hayashi
• 📑 Dust attenuation in ALMA-detected dusty star-forming galaxies in the COSMOS field, Mahmoud Hamed
• 📑 Efficient image visualization with CARTA - introduction and development update, Kuo-Song Wang
• 📑 Five years of the new 'Hedwig' proposal system at the JCMT, Graham Bell
• 📑 HII regions in the CALIFA survey, Carlos Espinosa
• 📑 How reliable are galaxies physical parameters estimations for LSST main sequence sample?, Gabriele Riccio
• 📑 Improving the good: the upgrade of the IRAM 30-meter millimetre telescope, Miguel Sánchez-Portal
• 📑 It is Tango time: The M&C system for LOFAR2.0 stations, Thomas Juerges
• 📑 JVO Subaru Suprime-Cam Mosaic Image Archive DR2, Yuji Shirasaki
• 📑 Lessons Learned regarding Software Tools used during the 1st DKIST Proposal Call”, Anastasia Alexov
• 📑 Numerical code generation from symbolic expressions in Python, Fabio Rossi
• 📑 Observing scripts in kosma_software used on GREAT/SOFIA: modularity, flexibility, efficiency, Yoko Okada
• 📑 STARLINK - the original and best, David Berry
• 📑 The technical challenges of implementing DOIs at the ESA Science Data Center (ESDC), Maria Henar Sarmiento Carrión
• 📑 VIPERS: Fundamental Metallicity Relation and its projections. How observational bias affect their shape, Francesco Pistis