@misc{Massi2023Labec,author={Bombini, Alessandro and Czelusniak, Caroline and Carraresi, Luca and Giuntini, Lorenzo and Massi, Mirko and Taccetti, Francesco},title={{INFN-CHNet Radiation Data Storing And Visualizing System For The LABEC Tandem Accelerator}},year={2023},url={https://www.lnf.infn.it/sis/preprint/getfilepdf.php?filename=INFN-23-23-FI.pdf},publisher={INFN preprints},}
arXiv
ganX – generate artificially new XRF a python library to generate MA-XRF raw data out of RGB images
@misc{bombini2023ganx,title={ganX -- generate artificially new XRF a python library to generate MA-XRF raw data out of RGB images},author={Bombini, Alessandro},year={2023},eprint={2304.14078},archiveprefix={arXiv},primaryclass={physics.app-ph},}
GARR
A Cloud Computing infrastructure for the Competence Centre for the Conservation of Cultural Heritage
Ahmad Alkhansa, Alessandro Bombini, Alessandro Costantini, and 2 more authors
In Conferenza GARR 2023 - Saperi Interconnessi. Infrastrutture per una scienza ad alte prestazioni, 2023
@software{Bombini_ganX_-_generate_2023,author={Bombini, Alessandro},month=jan,title={{ganX - generate artificially new XRF}},url={https://github.com/androbomb/ganX},note={PyPi release \url{https://pypi.org/project/ganx/} },version={0.0.1},year={2023},keywords={code},}
2022
LNCS
The AIRES-CH Project: Artificial Intelligence for Digital REStoration of Cultural Heritages Using Nuclear Imaging and Multidimensional Adversarial Neural Networks
Alessandro Bombini, Lucio Anderlini, Luca dell’Agnello, and 3 more authors
In Image Analysis and Processing – ICIAP 2022, Jan 2022
Artificial Intelligence for digital REStoration of Cultural Heritage (AIRES-CH) aims at building a web-based app for the digital restoration of pictorial artworks through Computer Vision technologies applied to physical imaging raw data. Physical imaging techniques, such as XRF, PIXE, PIGE, and FTIR, are capable of exploring a wide range of wavelengths providing spectra that are used to infer the chemical composition of the pigments. A multidimensional neural network, specifically designed to automatically restore damaged or hidden pictorial work, will be deployed on the INFN-CHNet Cloud as a web service, freely available to authenticated researchers. In this contribution, we report the status of the project, its current results, the development plans as well as future prospects.
@inproceedings{BombiniICIAP2021,author={Bombini, Alessandro and Anderlini, Lucio and dell'Agnello, Luca and Giacomini, Francesco and Ruberto, Chiara and Taccetti, Francesco},editor={Sclaroff, Stan and Distante, Cosimo and Leo, Marco and Farinella, Giovanni M. and Tombari, Federico},title={{The AIRES-CH Project: Artificial Intelligence for Digital REStoration of Cultural Heritages Using Nuclear Imaging and Multidimensional Adversarial Neural Networks}},booktitle={Image Analysis and Processing -- ICIAP 2022},year={2022},publisher={Springer International Publishing},address={Cham},pages={685--700},isbn={978-3-031-06427-2},doi={10.1007/978-3-031-06427-2_57},url={https://doi.org/10.1007/978-3-031-06427-2_57},keywords={article},dimensions={true},}
LNCS
Hyperparameter Optimisation of Artificial Intelligence for Digital REStoration of Cultural Heritages (AIRES-CH) Models
Alessandro Bombini, Lucio Anderlini, Luca dell’Agnello, and 3 more authors
In Computational Science and Its Applications – ICCSA 2022 Workshops, Jan 2022
Artificial Intelligence for digital REStoration of Cultural Heritage (AIRES-CH) aims at building a web-based app for the digital restoration of pictorial artworks through Computer Vision technologies applied to physical imaging raw data.
@inproceedings{BombiniICCSA2022,author={Bombini, Alessandro and Anderlini, Lucio and dell'Agnello, Luca and Giacomini, Francesco and Ruberto, Chiara and Taccetti, Francesco},editor={Gervasi, Osvaldo and Murgante, Beniamino and Misra, Sanjay and Rocha, Ana Maria A. C. and Garau, Chiara},title={{Hyperparameter Optimisation of Artificial Intelligence for Digital REStoration of Cultural Heritages (AIRES-CH) Models}},booktitle={Computational Science and Its Applications -- ICCSA 2022 Workshops},year={2022},publisher={Springer International Publishing},address={Cham},pages={91--106},isbn={978-3-031-10536-4},doi={10.1007/978-3-031-10536-4_7},url={https://doi.org/10.1007/978-3-031-10536-4_7},keywords={article},dimensions={true},}
LNCS
Towards the Creation of AI-powered Queries Using Transfer Learning on NLP Model - The THESPIAN-NER Experience
Alessandro Bombini, Lisa Castelli, Achille Felicetti, and 3 more authors
In Image Analysis and Processing. ICIAP 2022 Workshops, Jan 2022
Tools for HEritage Science Processing, Integration, and ANalysis (THESPIAN) is a cloud system that offers multiple web services to the researchers of INFN-CHNet, from storing their raw data to reusing them by following the FAIR principles for establishing integration and interoperability among shared information.
@inproceedings{BombiniAi4DH,author={Bombini, Alessandro and Castelli, Lisa and Felicetti, Achille and Niccolucci, Franco and Reccia, Anna and Taccetti, Francesco},editor={Mazzeo, Pier Luigi and Frontoni, Emanuele and Sclaroff, Stan and Distante, Cosimo},title={{Towards the Creation of AI-powered Queries Using Transfer Learning on NLP Model - The THESPIAN-NER Experience}},booktitle={Image Analysis and Processing. ICIAP 2022 Workshops},year={2022},publisher={Springer International Publishing},address={Cham},pages={266--277},isbn={978-3-031-13324-4},doi={10.1007/978-3-031-13324-4_23},keywords={article},}
Zenodo
Digitizing Cultural Heritage - A Reconnaissance Investigation on the Data Infrastructure
Alessandro Bombini, Achille Felicetti, Federico Ferrari, and 4 more authors
@misc{alessandro_bombini_2022_6370361,author={Bombini, Alessandro and Felicetti, Achille and Ferrari, Federico and Iadanza, Ernesto and Medici, Marco and Niccolucci, Franco and Prandoni, Claudio},title={{Digitizing Cultural Heritage - A Reconnaissance
Investigation on the Data Infrastructure}},month=mar,year={2022},publisher={Zenodo},doi={10.5281/zenodo.6370361},url={https://doi.org/10.5281/zenodo.6370361},keywords={article},}
ApplSc
A Cloud-Native Web Application for Assisted Metadata Generation and Retrieval: THESPIAN-NER
Alessandro Bombini, Ahmad Alkhansa, Laura Cappelli, and 3 more authors
Within the context of the Competence Centre for the Conservation of Cultural Heritage (4CH) project, the design and deployment of a platform-as-a-service cloud infrastructure for the first European competence centre of cultural heritage (CH) has begun, and some web services have been integrated into the platform. The first integrated service is the INFN-CHNet web application for FAIR storage of scientific analysis on CH: THESPIAN-Mask. It is based on CIDOC-CRM-compatible ontology and CRMhs, describing the scientific metadata. To ease the process of metadata generation and data injection, another web service has been developed: THESPIAN-NER. It is a tool based on a deep neural network for named entity recognition (NER), enabling users to upload their Italian-written report files and obtain labelled entities. Those entities are used as keywords either to serve as (semi)automatically custom queries for the database, or to fill (part of) the metadata form as a descriptor for the file to be uploaded. The services have been made freely available in the 4CH PaaS cloud platform.
@article{app122412910,author={Bombini, Alessandro and Alkhansa, Ahmad and Cappelli, Laura and Felicetti, Achille and Giacomini, Francesco and Costantini, Alessandro},title={A Cloud-Native Web Application for Assisted Metadata Generation and Retrieval: THESPIAN-NER},journal={Applied Sciences},volume={12},year={2022},number={24},article-number={12910},url={https://www.mdpi.com/2076-3417/12/24/12910},issn={2076-3417},doi={10.3390/app122412910},keywords={article},dimensions={true},}
GARR
SUM: Save the Ukrainian Monuments - The 4CH European Competence Centre action to save Ukrainian Digital Heritage
Alessandro Bombini, Lisa Castelli, Alessandro Costantini, and 7 more authors
In Conferenza GARR 2022 - Condivisioni. La rete come strumento per costruire il futuro, Mar 2022
@inproceedings{CastelliGarr2022,author={Bombini, Alessandro and Castelli, Lisa and Costantini, Alessandro and Czelusniak, Caroline and dell’Agnello, Luca and Ronzino, Paola and Giacomini, Francesco and Niccolucci, Franco and Starodubtsev, Oleksandr and Taccetti, Francesco},title={{SUM: Save the Ukrainian Monuments - The 4CH European Competence Centre action to save Ukrainian Digital Heritage}},booktitle={{Conferenza GARR 2022 - Condivisioni. La rete come strumento per costruire il futuro}},year={2022},volume={Selected Papers},doi={10.26314/GARR-Conf22-proceedings-17},url={https://doi.org/10.26314/GARR-Conf22-proceedings-17},isbn={ 978-88-946629-1-7},publisher={Associazione Consortium GARR},editor={GARR},keywords={article},}
git
The AIRES-CH RESTful API microservice
Alessandro Bombini, Fernando García-Avello Bofías, Chiara Ruberto, and 1 more author
@software{Bombini_The_AIRES-CH_RESTful_2022,author={Bombini, Alessandro and Bofías, Fernando García-Avello and Ruberto, Chiara and Taccetti, Francesco},month=nov,title={{The AIRES-CH RESTful API microservice}},url={https://github.com/androbomb/AIRES_API},version={0.0.1},year={2022},keywords={code},}
2021
EPJp
LABEC, the INFN ion beam laboratory of nuclear techniques for environment and cultural heritage
M. Chiari, S. Barone, A. Bombini, and 22 more authors
The LABEC laboratory, the INFN ion beam laboratory of nuclear techniques for environment and cultural heritage, located in the Scientific and Technological Campus of the University of Florence in Sesto Fiorentino, started its operational activities in 2004, after INFN decided in 2001 to provide our applied nuclear physics group with a large laboratory dedicated to applications of accelerator-related analytical techniques, based on a new 3 MV Tandetron accelerator. The new accelerator greatly improved the performance of existing Ion Beam Analysis (IBA) applications (for which we were using since the 1980s an old single-ended Van de Graaff accelerator) and in addition allowed to start a novel activity of Accelerator Mass Spectrometry (AMS), in particular for 14C dating. Switching between IBA and AMS operation became very easy and fast, which allowed us high flexibility in programming the activities, mainly focused on studies of cultural heritage and atmospheric aerosol composition, but including also applications to biology, geology, material science and forensics, ion implantation, tests of radiation damage to components, detector performance tests and low-energy nuclear physics. This paper describes the facilities presently available in the LABEC laboratory, their technical features and some success stories of recent applications.
@article{Chiari2021,author={Chiari, M. and Barone, S. and Bombini, A. and Calzolai, G. and Carraresi, L. and Castelli, L. and Czelusniak, C. and Fedi, M. E. and Gelli, N. and Giambi, F. and Giardi, F. and Giuntini, L. and Lagomarsino, S. and Liccioli, L. and Lucarelli, F. and Manetti, M. and Massi, M. and Mazzinghi, A. and Nava, S. and Ottanelli, P. and Sciortino, S. and Ruberto, C. and Sodi, L. and Taccetti, F. and Mand{\`o}, P. A.},title={{LABEC, the INFN ion beam laboratory of nuclear techniques for environment and cultural heritage}},journal={The European Physical Journal Plus},year={2021},month=apr,day={30},volume={136},number={4},pages={472},issn={2190-5444},doi={10.1140/epjp/s13360-021-01411-1},url={https://doi.org/10.1140/epjp/s13360-021-01411-1},keywords={article},dimensions={true},}
GARR
CHNet cloud: an EOSC-based cloud for physical technologies applied to cultural heritages
Alessandro Bombini, Lisa Castelli, Luca dell’Agnello, and 4 more authors
In Conferenza GARR 2021 - Sostenibile/Digitale. Dati e tecnologie per il futuro, Apr 2021
@inproceedings{BombiniGarr2021,author={Bombini, Alessandro and Castelli, Lisa and dell’Agnello, Luca and Felicetti, Achille and Giacomini, Francesco and Niccolucci, Franco and Taccetti, Francesco},title={{CHNet cloud: an EOSC-based cloud for physical technologies applied to cultural heritages}},booktitle={Conferenza GARR 2021 - Sostenibile/Digitale. Dati e tecnologie per il futuro},year={2021},volume={Selected Papers},doi={10.26314/GARR-Conf21-proceedings-09},url={https://doi.org/10.26314/GARR-Conf21-proceedings-09},isbn={978-88-946629-0-0},publisher={Associazione Consortium GARR},editor={GARR},keywords={article},}
2020
JHEP
Holographic entanglement entropy and complexity of microstate geometries
@article{Bombini:2019vuk,author={Bombini, Alessandro and Fardelli, Giulia},title={{Holographic entanglement entropy and complexity of microstate geometries}},eprint={1910.01831},archiveprefix={arXiv},primaryclass={hep-th},doi={10.1007/JHEP06(2020)181},journal={JHEP},volume={06},pages={181},year={2020},keywords={article},}
git
Gino the Neutrino
Alessio Bendoni, Alessandro Bombini, Serena Barone, and 3 more authors
@software{Bendoni_Gino_the_Neutrino_2020,author={Bendoni, Alessio and Bombini, Alessandro and Barone, Serena and Nesi, Francesca and Gavazzi, Gilberto and Baldini, Francesco},month=apr,title={{Gino the Neutrino}},url={https://github.com/DarkPower91/ldjam46},version={1.0.0},year={2020},keywords={code},}
2019
ClassQuantGrav
AdS Vacuum Bubbles, Holography and Dual RG Flows
Riccardo Antonelli, Ivano Basile, and Alessandro Bombini
@article{Bombini:2018jrg,author={Bombini, Alessandro and Giusto, Stefano and Russo, Rodolfo},title={{A note on the Virasoro blocks at order $1/c$}},eprint={1807.07886},archiveprefix={arXiv},primaryclass={hep-th},doi={10.1140/epjc/s10052-018-6522-5},journal={Eur. Phys. J. C},volume={79},number={1},pages={3},year={2019},keywords={article},dimensions={true},}
ClassQuantGrav
Three-charge superstrata with internal excitations
@article{Bombini:2019jhp,author={Bombini, Alessandro and Papini, Lorenzo},title={{General supersymmetric $\hbox {AdS}_5$ black holes with squashed boundary}},eprint={1903.00021},archiveprefix={arXiv},primaryclass={hep-th},doi={10.1140/epjc/s10052-019-7015-x},journal={Eur. Phys. J. C},volume={79},number={6},pages={515},year={2019},keywords={article},dimensions={true},}
JHEP
AdS_3 four-point functions from \frac18 -BPS states
@article{Bombini:2017sge,author={Bombini, Alessandro and Galliani, Andrea and Giusto, Stefano and Moscato, Emanuele and Russo, Rodolfo},title={{Unitary 4-point correlators from classical geometries}},eprint={1710.06820},archiveprefix={arXiv},primaryclass={hep-th},doi={10.1140/epjc/s10052-017-5492-3},journal={Eur. Phys. J. C},volume={78},number={1},pages={8},year={2018},keywords={article},dimensions={true},}
@article{Bombini:2017got,author={Bombini, Alessandro and Giusto, Stefano},title={{Non-extremal superdescendants of the D1D5 CFT}},eprint={1706.09761},archiveprefix={arXiv},primaryclass={hep-th},doi={10.1007/JHEP10(2017)023},journal={JHEP},volume={10},pages={023},year={2017},keywords={article},}