ASPCS
 
Title: Astronomical Data Analysis Software and SystemsXXXI
Volume: 535 Year: 2024 View this Volume on ADS
Editors: B. V. Hugo, R. Van Rooyen, and O. M. Smirnov
ISBN: 978-1-58381-957-9 eISBN: 978-1-58381-958-6
Paper Title Page Authors
  
Front matter
The TOM Toolkit: Power tools to enhance science and observations 3 Street, R.A.; Lindstrom, W.; Heinrich-Josties, E.; Collom, D.; Riba, A.; Nation, J.; McCully, C.; Bowman, M.
EleFits: A Modern C++ API on Top of CFITSIO 13 Basset, A.; Grizonnet, M.; Degaudenzi, H.
Open-source Analysis Tools for Multi-instrument Dark Matter Searches 17 Miener, T.; Kerszberg, D.; Nigro, C.; Rico, J.; Nieto, D.
IACT event analysis with the MAGIC telescopes using deep convolutional neural networks with CTLearn 21 Miener, T.; Lopez-Coto, R.; Contreras, J. L.; Green, J. G.; Green, D.; Mariotti, E.; Nieto, D.; Romanato, L.; Yadav, S.
ESAP: The ESCAPE ESFRI Science Analysis Platform 25 Swinbank, J. D.; Bertocco, S.; Russo, S. A.; Sanchez-Exposito, S.
The Struggles to find a good Electronic Document Management System (EDMS) for the DKIST Project 29 Alexov, A.; Guzman, S.
The SIMPLE Archive: Building a Collaborative Database Workflow 33 Rodriguez, D. R.; Cruz, K.; Cooper, W. J.; Whiteford, N.; Fontanive, C.; Hort, E.; Alejandro, S.; Blackwell, R.; Terach, D.
Automated Spectroscopic Analysis using Genetic Algorithms 37 Long, M.; Lau, M. L.; Zhang, S.; Ji L.; Xiao, J.
The SciServer at MPE - Enabling collaboration for eROSITA & HETDEX 41 Haase, J.; Fabricius, M.; Lemson, G.; Salvato, M.
SPSRC: cloud computing in the Spanish prototype of a SKA Regional Centre 45 Moldon, J.; Darriba, L.; Sanchez-Exposito, S.; Garrido, J.; Parra-Royon, M.; Mendoza, M. A.; Verdez-Montenegro, L.
UltraPINK - New possibilities to explore Self-Organizing Kohonen Maps 49 Kollasch, F.; Polsterer, K.
Being Nice to the Server: Wrapping a REST API for a Cosmological Distance/Velocity Calculator with Python 53 Cabral, J.; Kourkchi, E.; Beroiz, M.; Peterson, E.; Sanchez, B.
Flexible Workflow Definitions for Reproducibility in Complex Systems 57 Terrell, M.; Laurino, O.; McLaughlin, W.; Evans, J.
Latent Space Explorer: Unsupervised Data Pattern Discovery on the Cloud 61 Cecconello, T.; Bordiu, C.; Bufano, F.; Puerari, L.; Riggi, S.; Schisano, E.; Sciacca, E.; Maruccia, Y.; Vizzari, G.
A globally distributed and scalable data post-processing framework for WALLABY science 65 Shen, A. X.; Reynolds, T.
AIMfast: An Astronomical Imaging Fidelity Assessment Tool 69 Ramaila, A.; Smirnov, O.; Hugo, B.; Makhathini, S.
Astronomical Image Processing at Scale With Pegasus and Montage 73 Berriman, G. B.; Good, J. C.; Deelman, E.; Tanaka, R.; Vahi, K.
Full LST-1 Data Reconstruction Using Convolutional Neural Networks 79 Jurysek,J.; Lyard, E.; Walter, R.
Stellar Spectra Models Classification and Parameter Estimation Using Machine Learning Algorithms 83 Flores R., M..; Corral, L. J.; Fierro-Santillan, C. R.
Preliminary Results of a Deep Learning Anomaly Detection Method to Identify Gamma-Ray Bursts in the AGILE Anticoincidence System 87 Parmiggiani, N.; Bulgarelli, A.; Ursi, A.; Tavai, M.; Macaluso, A.; Di Piano, A.; Fioretti, V.; Addis, A.; Pittori, C.
Prototype of Interactive Visualisation Tool for Bayesian Active Deep Learning 91 Podsztavek, O.; Skoda, P.; Tvrdik, P.
A deep learning approach to the discovery of anonymous Kuiper Belt Objects in wide-field imaging 95 Lee, A.; Kavelaars, J. J.; Teimoorinia, H.; Fraser, W. C.; Ashton, E.
Radio source analysis services for the SKA and precursors 99 Riggi, S.; Bordiu, C.; Magro, D.; Sortino, R.; Pino, C.; Sciacca, E.; Bufano, F.; Cecconello, T.; Vizzari, G.; Vitello, F.; Tudisco, G.
Machine Learning of Galaxy Classification by their Images and Photometry 103 Vavilova, I. B.; Dobrycheva, D. V.; Khramtsov, V.; Vasylenko, M. Y.; Elyiv, A. A.
Prediction of molecular parameters from astronomical emission lines, using Neural Networks 107 Barrientos, A.; Solar, M.
Emission stellar spectra normalisation using SUPPNet 111 Rozanski, T.
HDF5 Parallelization for Hierarchical Semi-Sparse Data Cubes 115 Nadvornik, J.; Skoda, P.; Tvrdik, P.
Building astroBERT, a Language Model for Astronomy & Astrophysics 119 Grezes, F.; Blanco-Cuaresma, S.; Accomazzi, A.; Kurtz, M. J.; Shapurian, G.; Henneken, E.; Grant, C. S.; Thompson, D. M.; Chyla, R.; McDonald, S.; Hostetler, T. W.; Templeton, M. R.; Lockhart, K. E.; Martinovic, N.; Chen, S.; Tanner, C.; Protopapas, P.
Building Trustworthy Machine Learning Models for Astronomy 123 Ntampaka, M.; Ho, M.; Nord, B.
Advanced Data Analysis for Observational Cosmology: Applications to the Study of the Intergalactic Medium 127 Cupani, G.; Calderone, G.; Cristiani, S.; Guarneri, F.
Astronomical Data Approximation Based on Neural Network Models 131 Samorodova, E.; Demianenko, M.; Sysak, M.; Shiriaev, A.; Malanchev, K.; Derkach, D.; Hushchyn, M.
The BIAS (Back-end Independent Acquisition Subsystem) to upgrade the CIWS framework. 433 Pastore, V.; Conforti, V.; Gianotti, F.; Trifoglio M.
Back matter 485