Light-curve Recovery with the Vera Rubin Observatory’s LSST. I. Pulsating Stars in Local Group Dwarf Galaxies
This investigation is mainly focused on the LSST Survey Strategy Optimization process, a bottom-up approach that turned out to be quite effective in involving the scientific community in the definition of the LSST observing strategy. We are mainly interested in using radial variables (RR Lyrae, clas...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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IOP Publishing
2023-01-01
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| Series: | The Astrophysical Journal Supplement Series |
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| Online Access: | https://doi.org/10.3847/1538-4365/acb825 |
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| author | M. Di Criscienzo S. Leccia V. Braga I. Musella G. Bono M. Dall’Ora G. Fiorentino M. Marconi R. Molinaro V. Ripepi K. Carrell Y. Choi S. Savarese L. Schreiber |
| author_facet | M. Di Criscienzo S. Leccia V. Braga I. Musella G. Bono M. Dall’Ora G. Fiorentino M. Marconi R. Molinaro V. Ripepi K. Carrell Y. Choi S. Savarese L. Schreiber |
| author_sort | M. Di Criscienzo |
| collection | DOAJ |
| description | This investigation is mainly focused on the LSST Survey Strategy Optimization process, a bottom-up approach that turned out to be quite effective in involving the scientific community in the definition of the LSST observing strategy. We are mainly interested in using radial variables (RR Lyrae, classical Cepheids, long-period variables) as stellar tracers and distance indicators, and we developed a new tool called PulsationStarRecovery to quantify the recovery of the light-curve period and amplitude from an LSST-simulated time series. The outputs of this code are pulsation parameters (period, amplitude, mean magnitude) together with quantitative information concerning the difference between the shape of the light curve and template light curves. Furthermore, we apply the newborn metric to simulate LSST observations and recovery of different types of pulsating stars hosted by selected massive stellar systems (19 Local Group dwarf galaxies and the Large Magellanic Cloud) to show how the recovery changes according to distance and variable-star type. We show that this exercise is essential to understand the potential of LSST in this field since excellent recovery is necessary to optimize the use of predicted period–luminosity, period–amplitude, and color–color relations to constrain the cosmic distance scale and the metallicity distribution function of different stellar populations. |
| first_indexed | 2024-03-12T03:17:03Z |
| format | Article |
| id | doaj.art-7c3020080ecc4dd89fbebc2207570fdd |
| institution | Directory Open Access Journal |
| issn | 0067-0049 |
| language | English |
| last_indexed | 2024-03-12T03:17:03Z |
| publishDate | 2023-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | The Astrophysical Journal Supplement Series |
| spelling | doaj.art-7c3020080ecc4dd89fbebc2207570fdd2023-09-03T14:08:23ZengIOP PublishingThe Astrophysical Journal Supplement Series0067-00492023-01-0126524110.3847/1538-4365/acb825Light-curve Recovery with the Vera Rubin Observatory’s LSST. I. Pulsating Stars in Local Group Dwarf GalaxiesM. Di Criscienzo0https://orcid.org/0000-0003-4132-1209S. Leccia1V. Braga2https://orcid.org/0000-0001-7511-2830I. Musella3https://orcid.org/0000-0001-5909-6615G. Bono4https://orcid.org/0000-0002-4896-8841M. Dall’Ora5https://orcid.org/0000-0001-8209-0449G. Fiorentino6https://orcid.org/0000-0003-0376-6928M. Marconi7https://orcid.org/0000-0002-1330-2927R. Molinaro8https://orcid.org/0000-0003-3055-6002V. Ripepi9https://orcid.org/0000-0003-1801-426XK. Carrell10https://orcid.org/0000-0002-6307-992XY. Choi11S. Savarese12L. Schreiber13INAF-Osservatorio Astronomico di Roma , via Frascati 33, I-00078, Monteporzio Catone, Roma, Italy ; marcella.dicriscienzo@inaf.itINAF-Osservatorio Astronomico di Capodimonte , Salita Moiariello, 16, I-80131 Napoli NA, ItalyINAF-Osservatorio Astronomico di Roma , via Frascati 33, I-00078, Monteporzio Catone, Roma, Italy ; marcella.dicriscienzo@inaf.itINAF-Osservatorio Astronomico di Capodimonte , Salita Moiariello, 16, I-80131 Napoli NA, ItalyUniversitá degli studi di Roma Torvergata , Macroarea di Scienze M.F.N., Via della Ricerca Scientifica, 1, I-00133 Roma, ItalyINAF-Osservatorio Astronomico di Capodimonte , Salita Moiariello, 16, I-80131 Napoli NA, ItalyINAF-Osservatorio Astronomico di Roma , via Frascati 33, I-00078, Monteporzio Catone, Roma, Italy ; marcella.dicriscienzo@inaf.itINAF-Osservatorio Astronomico di Capodimonte , Salita Moiariello, 16, I-80131 Napoli NA, ItalyINAF-Osservatorio Astronomico di Capodimonte , Salita Moiariello, 16, I-80131 Napoli NA, ItalyINAF-Osservatorio Astronomico di Capodimonte , Salita Moiariello, 16, I-80131 Napoli NA, ItalyAngelo State University , 2601 W Avenue N, San Angelo, TX 76909, USAAngelo State University , 2601 W Avenue N, San Angelo, TX 76909, USAINAF-Osservatorio Astronomico di Capodimonte , Salita Moiariello, 16, I-80131 Napoli NA, ItalyINAF-Osservatorio di Astrofisica e Scienza dello Spazio Bologna , Via Piero Gobetti, 93/3, I-40129 Bologna, ItalyThis investigation is mainly focused on the LSST Survey Strategy Optimization process, a bottom-up approach that turned out to be quite effective in involving the scientific community in the definition of the LSST observing strategy. We are mainly interested in using radial variables (RR Lyrae, classical Cepheids, long-period variables) as stellar tracers and distance indicators, and we developed a new tool called PulsationStarRecovery to quantify the recovery of the light-curve period and amplitude from an LSST-simulated time series. The outputs of this code are pulsation parameters (period, amplitude, mean magnitude) together with quantitative information concerning the difference between the shape of the light curve and template light curves. Furthermore, we apply the newborn metric to simulate LSST observations and recovery of different types of pulsating stars hosted by selected massive stellar systems (19 Local Group dwarf galaxies and the Large Magellanic Cloud) to show how the recovery changes according to distance and variable-star type. We show that this exercise is essential to understand the potential of LSST in this field since excellent recovery is necessary to optimize the use of predicted period–luminosity, period–amplitude, and color–color relations to constrain the cosmic distance scale and the metallicity distribution function of different stellar populations.https://doi.org/10.3847/1538-4365/acb825SurveysPulsating variable starsDwarf galaxiesLight curve classification |
| spellingShingle | M. Di Criscienzo S. Leccia V. Braga I. Musella G. Bono M. Dall’Ora G. Fiorentino M. Marconi R. Molinaro V. Ripepi K. Carrell Y. Choi S. Savarese L. Schreiber Light-curve Recovery with the Vera Rubin Observatory’s LSST. I. Pulsating Stars in Local Group Dwarf Galaxies The Astrophysical Journal Supplement Series Surveys Pulsating variable stars Dwarf galaxies Light curve classification |
| title | Light-curve Recovery with the Vera Rubin Observatory’s LSST. I. Pulsating Stars in Local Group Dwarf Galaxies |
| title_full | Light-curve Recovery with the Vera Rubin Observatory’s LSST. I. Pulsating Stars in Local Group Dwarf Galaxies |
| title_fullStr | Light-curve Recovery with the Vera Rubin Observatory’s LSST. I. Pulsating Stars in Local Group Dwarf Galaxies |
| title_full_unstemmed | Light-curve Recovery with the Vera Rubin Observatory’s LSST. I. Pulsating Stars in Local Group Dwarf Galaxies |
| title_short | Light-curve Recovery with the Vera Rubin Observatory’s LSST. I. Pulsating Stars in Local Group Dwarf Galaxies |
| title_sort | light curve recovery with the vera rubin observatory s lsst i pulsating stars in local group dwarf galaxies |
| topic | Surveys Pulsating variable stars Dwarf galaxies Light curve classification |
| url | https://doi.org/10.3847/1538-4365/acb825 |
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