Scientific Production of the Italian Community related to Rubin-LSST

De Somma et al. 2024, Classical Cepheid pulsation properties in the Rubin-LSST filters, Monthly Notices of the Royal Astronomical Society, 528, 6637. https://ui.adsabs.harvard.edu/abs/2024MNRAS.528.6637D/abstract

Ragosta et al. 2024, Kilonova parameters estimation with LSST at Vera C. Rubin Observatory, 2024, ApJ, 966, 214R. https://iopscience.iop.org/article/10.3847/1538-4357/ad35c1/pdf

Petrecca et al. 2024, Recovered SN Ia rate from simulated LSST images, accepted for publication in A&A. https://arxiv.org/abs/2402.17612

Rodeghiero, G., et. al. 2024, “The Vera C. Rubin's M2 Support System Integration and Verification at the TMA”, Proc. of SPIE Astronomical Telescopes + Instrumentation 2024 doi.org/10.1117/12.3019210 

Drass, H., et. al. 2024, “Rubin Systems Engineering Processes for Image Quality tracking, CMMS selection, FRACAS handling, and Hazard Mitigation Analysis”, Proc. of SPIE Astronomical Telescopes + Instrumentation 2024

Sebag, J., et. al. 2024, “Rubin Observatory Technical Challenges and Resolution”, Proc. of SPIE Astronomical Telescopes + Instrumentation 2024

Megias-Homar, G., et. al. 2024, “Advancing the Vera C. Rubin Observatory Active Optics Control System”, Proc. of SPIE Astronomical Telescopes + Instrumentation 2024

Musella, I., et al. 2024, Ultra Long Period Cepheids as standard candles from Gaia to LSST, submitted to ApJ

Di Criscienzo et al. 2023, Light curve’s recovery with the Vera Rubin Observatory’s LSST. I. Pulsating stars in Local Group dwarf galaxies, The Astrophysical Journal Supplement Series, 2023, ApJS, 265, 41D, https://ui.adsabs.harvard.edu/abs/2022SPIE12187E..19S/abstract

Bonito et a. 2023,” Young Stellar Objects, Accretion Disks, and Their Variability with Rubin Observatory LSST”, ApJS 265, 27, https://iopscience.iop.org/article/10.3847/1538-4365/acb684/pdf

Prisinzano et al. 2023,”Rubin LSST Observing Strategies to Maximize Volume and Uniformity Coverage of Star-forming Regions in the Galactic Plane”, ApJS 265, 39 https://iopscience.iop.org/article/10.3847/1538-4365/acbd3b/pdf

Hambleton et al. 2023, Rubin Observatory LSST Transients and Variable Stars Roadmap, Publications of the Astronomical Society of the Pacific, Volume 135, Issue 1052, id.105002, 102 pp. https://ui.adsabs.harvard.edu/abs/2023PASP..135j5002H/abstract

Savic et al. 2023, The LSST AGN Data Challenge: Selection methods, The Astrophysical Journal, Volume 953, Issue 2, id.138, 15 pp. https://iopscience.iop.org/article/10.3847/1538-4357/ace31a/pdf 

Schwamb et al. 2023, Tuning the Legacy Survey of Space and Time (LSST) Observing Strategy for Solar System Science, The Astrophysical Journal Supplement Series, Volume 266, Issue 2, id.22, 68 pp. https://iopscience.iop.org/article/10.3847/1538-4365/acc173/pdf

Rubin Observatory LSST Stars Milky Way and Local Volume Star Clusters Roadmap, Usher et al. 2023, Publications of the Astronomical Society of the Pacific, Volume 135, Issue 1049, id.074201, 24 pp. https://ui.adsabs.harvard.edu/abs/2023PASP..135g4201U/abstract

Sandrine Thomas et al. 2023, ‘Rubin Observatory Simonyi Survey Telescope Active Optics’ Adaptive Optics for Extremely Large Telescopes 7th Edition, ONERA, Jun 2023, Avignon, France. https://hal.science/hal-04419895

Plazas Malagon et al. 2023,  ‘Anti-Black racism workshop during the Vera C. Rubin Observatory virtual 2021 Project and Community Workshop’ https://ui.adsabs.harvard.edu/abs/2023arXiv231012177P/abstract

Feigelson, E. D. et al. 2023, ‘An Evenly Spaced LSST Cadence for Rapidly Variable Stars’ 2023ApJS..268...11F https://iopscience.iop.org/article/10.3847/1538-4365/ace616/pdf

Kovačević et al. 2022, The LSST Era of Supermassive Black Hole Accretion Disk Reverberation Mapping, The Astrophysical Journal Supplement Series, Volume 262, 49 https://iopscience.iop.org/article/10.3847/1538-4365/ac88ce

Bellm et al. 2022, Give Me a Few Hours: Exploring Short Timescales in Rubin Observatory Cadence Simulations, The Astrophysical Journal Supplement Series, Volume 258, Issue 1, id.13, https://iopscience.iop.org/article/10.3847/1538-4365/ac4602

Raiteri et al. 2022, Blazar Variability with the Vera C. Rubin Legacy Survey of Space and Time, The Astrophysical Journal Supplement Series, Volume 258, Issue 1, id.3, https://iopscience.iop.org/article/10.3847/1538-4365/ac3bb0

Guy et al. 2022, Rubin-Euclid Derived Data Products: Initial Recommendations, Report of the Rubin-Euclid Derived Data Products Working Group, 78 pages, 11 figures; doi:10.5281/zenodo.5836022, https://zenodo.org/record/5836022#.YjYInurMKHs

Li et al. 2022, Preparing to Discover the Unknown with Rubin LSST: Time Domain, The Astrophysical Journal Supplement Series, Volume 258, Issue 1, id.2, https://iopscience.iop.org/article/10.3847/1538-4365/ac3bca

Savarese et al. 2022, Modeling wide-field telescopes in presence of misalignments: an application to the Vera C. Rubin Observatory, Proceedings of the SPIE, Volume 12187, id. 1218719 9 pp. (2022), https://ui.adsabs.harvard.edu/abs/2022SPIE12187E..19S/abstract

Dal Tio et al. 2022, Simulating the Legacy Survey of Space and Time Stellar Content with TRILEGAL, The Astrophysical Journal Supplement Series, Volume 262, Issue 1, id.22, 22 pp. https://ui.adsabs.harvard.edu/abs/2022ApJS..262...22D/abstract

Marconi et al. 2022, New Theoretical Period-Luminosity-Metallicity Relations for RR Lyrae in the Rubin-LSST Filters, The Astrophysical Journal, 934, 29 https://iopscience.iop.org/article/10.3847/1538-4357/ac78ee

G. Martin et al. 2022, Preparing for low surface brightness science with the Vera C. Rubin Observatory: Characterization of tidal features from mock images 2022, MNRAS, 513, 1459M. https://academic.oup.com/mnras/article/513/1/1459/6566363

Andreoni et al. 2022, Target-of-opportunity Observations of Gravitational-wave Events with Vera C. Rubin Observatory, APJS 260, 18. https://iopscience.iop.org/article/10.3847/1538-4365/ac617c/

Andreoni et al. 2021, Target of Opportunity Observations of Gravitational Wave Events with Vera C. Rubin Observatory, e-print arXiv:2111.01945, https://arxiv.org/pdf/2111.01945.pdf  

Zuntz et al. 2021, The LSST-DESC 3x2pt Tomography Optimization Challenge, The Open Journal of Astrophysics, vol. 4, issue 1, id. 13, https://ui.adsabs.harvard.edu/abs/2021OJAp....4E..13Z/abstract 

Boutsia et al. 2021, The Luminosity Function of bright QSOs at z~4 and implications for the cosmic ionizing background, Accepted for publication in ApJ, https://ui.adsabs.harvard.edu/abs/2021arXiv210310446B/abstract 

Khetan et al. 2021, A new measurement of the Hubble constant using Type Ia supernovae calibrated with surface brightness fluctuations, Astronomy & Astrophysics, Volume 647, id.A72, doi: 10.1051/0004-6361/202039196, https://doi.org/10.1051/0004-6361/202039196 

De Cicco et al. 2021, A random forest-based selection of optically variable AGN in the VST-COSMOS field, Astronomy & Astrophysics, Volume 645, id.A103, doi: 10.1051/0004-6361/202039193, https://doi.org/10.1051/0004-6361/202039193 

Brandt et al. 2021, Active Galaxy Science in the LSST Deep-Drilling Fields: Additional Points on Footprints, Cadence Requirements, and Total-Depth Requirements, submitted to Science Collaboration in April 2021

Clarkson et al. 2021, Rubin Cadence Note - Saturation and Bright Objects, internal document in progress, https://docs.google.com/document/d/14dzSfa6z5oMVZDOoBeRf2gM8nxiGXYIvUxYgTaraTm0/edit#heading=h.9c3n1spg7m7x 

Zou et al. 2021, Photometric Redshifts in the W-CDF-S and ELAIS-S1 Fields Based on Forced Photometry from 0.36 to 4.5 Microns, Research Notes of the AAS, Volume 5, Issue 3, id.56, doi: 10.3847/2515-5172/abf050, https://iopscience.iop.org/article/10.3847/2515-5172/abf050 

Zou et al. 2021, A Multi-band Forced-photometry Catalog in the ELAIS-S1 Field, Research Notes of the AAS, Volume 5, Issue 2, id.31, doi: 10.3847/2515-5172/abe769, https://iopscience.iop.org/article/10.3847/2515-5172/abe769 

Raiteri et al. 2021, LSST Cadence Note: Blazar Variability, submitted to the project, https://it.overleaf.com/project/606756e0be363f9aefd2415a 

Bellm et al. 2021, Give Me a Few Hours:  Missing Timescales in Rubin Cadence Simulations, submitted to the Project, https://www.overleaf.com/project/606fe7e3be5c1d48dcc92d2a 

Li et al. 2021, Rubin Cadence Note - Anomaly Detection, submitted to the Project

Bianco et al. 2021, LSST TVS RoadMap Document (Draft in progress), internal document of Science Collaboration, https://www.authorea.com/users/45/articles/281328-lsst-tvs-roadmap-document-draft-in-progress?access_token=NLF5iQX2Tn-gb1hAarEisA 

Brescia et al. 2021, Photometric redshifts with machine learning, lights and shadows on a complex data science use case, The Physical Challenges of Astrostatistics, Front. Astron. Space Sci., doi: 10.3389/fspas.2021.658229, https://www.frontiersin.org/research-topics/13351/the-physical-challenges-of-astrostatistics 

Bonito et al. 2021, Young stellar objects and their variability with Rubin Observatory LSS, Cadence Note submitted to the Project

Prisinzano et al. 2021, Rubin LSST Cadence Note to maximize volume and uniformity coverage of star forming regions in the Galactic Plane, submitted to the projects

Street et al. 2021, LSST Survey Footprint in the Galactic Plane and Magellanic Clouds, Cadence Note submitted to the Project

Clarkson et al. 2021, Synthesis of the Stars, Milky Way, and Local Volume, SMWLV/TVS Cadence Notes

Schmidt et al. 2020, Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST), Monthly Notices of the Royal Astronomical Society, Volume 499, Issue 2, doi: 10.1093/mnras/staa2799, https://doi.org/10.1093/mnras/staa2799 

Boutsia et al. 2020, The Spectroscopic Follow-up of the QUBRICS Bright Quasar Survey, The Astrophysical Journal Supplement Series, Volume 250, Issue 2, id.26, doi: 10.3847/1538-4365/abafc1, https://iopscience.iop.org/article/10.3847/1538-4365/abafc1 

Poulain et al. 2020, Extending the variability selection of active galactic nuclei in the W-CDF-S and SERVS/SWIRE region, Astronomy & Astrophysics, Volume 634, id.A50, doi: 10.1051/0004-6361/201937108, https://doi.org/10.1051/0004-6361/201937108 

Angora et al. 2020, The search for galaxy cluster members with deep learning of panchromatic HST imaging and extensive spectroscopy, Astronomy & Astrophysics, Volume 643, id.A177, doi: 10.1051/0004-6361/202039083, https://doi.org/10.1051/0004-6361/202039083 

Vicedomini et al. 2020, Statistical characterization and classification of astronomical transients with Machine Learning in the era of the Vera C. Rubin Observatory, Intelligent Astrophysics, Springer International Publishing, doi: 10.1007/978-3-030-65867-0, ISBN: 978-3-030-65866-3, https://www.springer.com/gp/book/9783030658663 

Laurenti et al. 2020, Individual optical variability of active galactic nuclei from the MEXSAS2 sample, Monthly Notices of the Royal Astronomical Society, Volume 499, Issue 4, doi: 10.1093/mnras/staa3172, https://doi.org/10.1093/mnras/staa3172 

Street et l. 2020, Impact of Rubin Observatory LSST Template Acquisition Strategies on Early Science from the Transients and Variable Stars Science Collaboration: Time-critical Science Cases, Res. Notes AAS 4 41, doi: 10.3847/2515-5172/ab812a, https://iopscience.iop.org/article/10.3847/2515-5172/ab812a 

Hambleton et al. 2020, Impact of Rubin Observatory LSST Template Acquisition Strategies on Early Science from the Transients and Variable Stars Science Collaboration: Non-time-critical Science Cases, Res. Notes AAS 4 40, doi: 10.3847/2515-5172/ab8129, https://iopscience.iop.org/article/10.3847/2515-5172/ab8129 

Rabus, Rich et al. 2020, Rubin Observatory joint TVSSC & SMWLVSC commissioning note, submitted to the Project

Participation to the virtual LSSTC enabling science broker workshop Part I, Oct 27-28, 2020, http://workshops.alerce.online/lsst-enabling-science-2020-broker-workshop/  

Calderone et al. 2019, Finding the Brightest Cosmic Beacons in the Southern Hemisphere, The Astrophysical Journal, Volume 887, Issue 2, article id. 268, doi: 10.3847/1538-4357/ab510a, https://iopscience.iop.org/article/10.3847/1538-4357/ab510a 

Iodice et al., 2019, The Fornax Deep Survey with the VST. V. Exploring the faintest regions of the bright early-type galaxies inside the virial radius, Astronomy & Astrophysics, Volume 623, id.A1, doi: 10.1051/0004-6361/201833741, https://doi.org/10.1051/0004-6361/201833741 

De Cicco et al. 2019, Optically variable AGN in the three-year VST survey of the COSMOS field, Astronomy & Astrophysics, Volume 627, id.A33, doi: 10.1051/0004-6361/201935659, https://doi.org/10.1051/0004-6361/201935659 

Grillo et al. 2018, Measuring the Value of the Hubble Constant “à la Refsdal”, The Astrophysical Journal, Volume 860, Issue 2, article id. 94, doi: 10.3847/1538-4357/aac2c9, https://iopscience.iop.org/article/10.3847/1538-4357/aac2c9 

Cantiello et al. 2018, A Precise Distance to the Host Galaxy of the Binary Neutron Star Merger GW170817 Using Surface Brightness Fluctuations, The Astrophysical Journal Letters, Volume 854, Issue 2, article id. L31, doi: 10.3847/2041-8213/aaad64, https://iopscience.iop.org/article/10.3847/2041-8213/aaad64 

Cantiello et al. 2018, The Next Generation Virgo Cluster Survey (NGVS). XVIII. Measurement and Calibration of Surface Brightness Fluctuation Distances for Bright Galaxies in Virgo (and Beyond), The Astrophysical Journal, Volume 856, Issue 2, article id. 126, doi: 10.3847/1538-4357/aab043, https://iopscience.iop.org/article/10.3847/1538-4357/aab043 

Sereno et al. 2018, Gravitational lensing detection of an extremely dense environment around a galaxy cluster, Nature Astronomy, Volume 2, doi: 10.1038/s41550-018-0508-y, https://www.nature.com/articles/s41550-018-0508-y 

Chen et al. 2018, The XMM-SERVS survey: new XMM-Newton point-source catalogue for the XMM-LSS field, Monthly Notices of the Royal Astronomical Society, Volume 478, Issue 2, doi: 10.1093/mnras/sty1036, https://doi.org/10.1093/mnras/sty1036 

Ding et al. 2018, Variability-selected Low-luminosity Active Galactic Nuclei Candidates in the 7 Ms Chandra Deep Field-South, The Astrophysical Journal, Volume 868, Issue 2, article id. 88, doi: 10.3847/1538-4357/aaea60, https://iopscience.iop.org/article/10.3847/1538-4357/aaea60 

Margutti et al. 2018, Target of Opportunity Observations of Gravitational Wave Events with LSST, White paper for LSST cadence optimization- ToOs, https://ui.adsabs.harvard.edu/abs/2018arXiv181204051M/abstract 

Gonzalez et al. 2018, LSST Cadence Optimization White Paper: The Definitive Map of the Galactic bulge, White Paper submitted to the 2018 call for LSST cadence proposals, https://arxiv.org/abs/1812.08670 

Street et al. 2018, The Diverse Science Return from a Wide-Area Survey of the Galactic Plane, White Paper submitted in response to the 2018 call for LSST cadence proposals, https://arxiv.org/abs/1812.03137 

Bono et al. 2018, unVEil the darknesS of The gAlactic buLgE (VESTALE), Contribution in response of the Call for White Papers on LSST Cadence Optimization, https://arxiv.org/abs/1812.03124 

Brandt et al. 2018, Active Galaxy Science in the LSST Deep-Drilling Fields: Footprints, Cadence Requirements, and Total-Depth Requirements, white paper on LSST cadence optimization, https://ui.adsabs.harvard.edu/abs/2018arXiv181106542B/abstract 

Clementini et al. 2018, The Gaia-LSST Synergy: resolved stellar populations in selected Local Group stellar systems, submitted to Call for White Papers on LSST Cadence Optimization, https://arxiv.org/abs/1812.03298 

Raiteri et al. 2018, Blazars and Fast Radio Bursts with LSST, Contribution in response of the Call for White Papers on LSST Cadence Optimization, https://arxiv.org/abs/1812.03151 

Thomas et al. 2018, Unveiling the Rich and Diverse Universe of Subsecond Astrophysics through LSST Star Trails, submitted to the Project, https://arxiv.org/abs/1812.02932 

Bonito et al. 2018, Young Stars and their Variability with LSST, Contribution in response of the Call for White Papers on LSST Cadence Optimization, https://ui.adsabs.harvard.edu/abs/2018arXiv181203135B/abstract

Prisinzano et al. 2018, Investigating the population of Galactic star formation regions and star clusters within a Wide-Fast-Deep Coverage of the Galactic Plane, Submitted White Paper for the cadence optimization call of LSST, https://ui.adsabs.harvard.edu/abs/2018arXiv181203025P/abstract

Spavone et al. 2017, VEGAS: A VST Early-type GAlaxy Survey. II. Photometric study of giant ellipticals and their stellar halos, Astronomy & Astrophysics, Volume 603, id.A38, doi: 10.1051/0004-6361/201629111, https://doi.org/10.1051/0004-6361/201629111 

D'Isanto et al. 2016, An analysis of feature relevance in the classification of astronomical transients with machine learning methods, Monthly Notices of the Royal Astronomical Society, Volume 457, Issue 3, doi: 10.1093/mnras/stw157, https://doi.org/10.1093/mnras/stw157 

Ghirlanda et al. 2015, Unveiling the population of orphan γ-ray bursts, Astronomy & Astrophysics, Volume 578, id.A71, doi: 10.1051/0004-6361/201526112, https://doi.org/10.1051/0004-6361/201526112 

Falocco et al. 2015, SUDARE-VOICE variability-selection of active galaxies in the Chandra Deep Field South and the SERVS/SWIRE region, Astronomy & Astrophysics, Volume 579, id.A115, doi: 10.1051/0004-6361/201425111, https://doi.org/10.1051/0004-6361/201425111 

De Cicco et al. 2015, Variability-selected active galactic nuclei in the VST-SUDARE/VOICE survey of the COSMOS field, Astronomy & Astrophysics, Volume 574, id.A112, doi: 10.1051/0004-6361/201424906, https://doi.org/10.1051/0004-6361/201424906