|
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. |
A Novel FRB Detection Pipeline For NenuFAR |
137 |
Plante, J.; Gratadour, D.; Bondonneau, L.; Viou, C. |
Optimization of the Storage Database for the Monitoring System of the CTA |
141 |
Incardona, F.; Costa, A.; Munari, K.; Bruno, P.; Germani, S.; Grillo, A.; Oya, I.; Neise, D.; Sciacca, E. |
Software solutions for numerical modeling of wide-field telescopes |
145 |
Saverese, S.; Schipani, P.; Capasso, G.; Colapietro, M.; D'Orsi, S.; Iuzzolino, M.; Marty, L.; Perrotta, F.; Basile, G. |
LMTOY: The LMT Single Dish Spectral Line Toolkit |
149 |
Teuben, P.; Heyer, M.; Mundy, L.; Narayanan, G.; Pound, M.; Rauch, K. J.; Sanchez, D.; Schloerb, F. P.; Souccar, K.; Yun, M. |
Multi-segment and Echelle stellar spectra processing issues and how to solve them |
153 |
Borisov, S.; Chilingarian, I.; Rubtsov, E.; Grishin, K.; Katkov, I.; Goradzhanov, V.; Afanasiev, A.; Saburova, A.; Kasparova, A.; Zolotukhin, I. |
The BIAS (Back-end Independent Acquisition Subsystem) to upgrade the CIWS framework. |
433 |
Pastore, V.; Conforti, V.; Gianotti, F.; Trifoglio M. |
Back matter |
485 |
|
|
|