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The Fermi Large Area Telescope (LAT) lightcurve repository (LCR) is a publicly available, continually updated library of gamma-ray lightcurves of variable Fermi-LAT sources generated over multiple timescales. The Fermi-LAT LCR aims to provide publication-quality lightcurves binned on timescales of 3, 7, and 30 days for 1525 sources deemed variable in the source catalog of the first 10 yr of Fermi-LAT observations. The repository consists of lightcurves generated through full likelihood analyses that model the sources and the surrounding region, providing fluxes and photon indices for each time bin. The LCR is intended as a resource for the time-domain and multimessenger communities by allowing users to search LAT data quickly to identify correlated variability and flaring emission episodes from gamma-ray sources. We describe the sample selection and analysis employed by the LCR and provide an overview of the associated data access portal.

The Fermi-LAT Lightcurve Repository*

Abdollahi, S.;Ajello, M.;Baldini, L.;Ballet, J.;Bastieri, D.;Becerra Gonzalez, J.;Bellazzini, R.;Berretta, A.;Bissaldi, E.;Bonino, R.;Brill, A.;Bruel, P.;Burns, E.;Buson, S.;Cameron, R. A.;Caputo, R.;Caraveo, P. A.;Cibrario, N.;Ciprini, S.;Cristarella Orestano, P.;Crnogorcevic, M.;Cutini, S.;D’Ammando, F.;De Gaetano, S.;Digel, S. W.;Di Lalla, N.;Di Venere, L.;Domínguez, A.;Ramazani, V. Fallah;Fegan, S. J.;Ferrara, E. C.;Fiori, A.;Fleischhack, H.;Franckowiak, A.;Fukazawa, Y.;Fusco, P.;Gammaldi, V.;Gargano, F.;Garrappa, S.;Gasbarra, C.;Gasparrini, D.;Giglietto, N.;Giordano, F.;Giroletti, M.;Green, D.;Grenier, I. A.;Guiriec, S.;Gustafsson, M.;Hays, E.;Horan, D.;Hou, X.;Jóhannesson, G.;Kerr, M.;Kocevski, D.;Kuss, M.;Latronico, L.;Li, J.;Liodakis, I.;Longo, F.;Loparco, F.;Lorusso, L.;Lott, B.;Lovellette, M. N.;Lubrano, P.;Maldera, S.;Manfreda, A.;Martí-Devesa, G.;Mazziotta, M. N.;Mereu, I.;Meyer, M.;Michelson, P. F.;Mizuno, T.;Monzani, M. E.;Morselli, A.;Moskalenko, I. V.;Negro, M.;Omodei, N.;Orlando, E.;Ormes, J. F.;Paneque, D.;Panzarini, G.;Perkins, J. S.;Persic, M.;Pesce-Rollins, M.;Pillera, R.;Porter, T. A.;Principe, G.;Racusin, J. L.;Rainò, S.;Rando, R.;Rani, B.;Razzano, M.;Razzaque, S.;Reimer, A.;Reimer, O.;Sánchez-Conde, M.;Parkinson, P. M. Saz;Scargle, Jeff;Scotton, L.;Serini, D.;Sgrò, C.;Siskind, E. J.;Spandre, G.;Spinelli, P.;Suson, D. J.;Tajima, H.;Thompson, D. J.;Torres, D. F.;Valverde, J.;Venters, T.;Wadiasingh, Z.;Wagner, S.;Wood, K.

2023-01-01

Abstract

The Fermi Large Area Telescope (LAT) lightcurve repository (LCR) is a publicly available, continually updated library of gamma-ray lightcurves of variable Fermi-LAT sources generated over multiple timescales. The Fermi-LAT LCR aims to provide publication-quality lightcurves binned on timescales of 3, 7, and 30 days for 1525 sources deemed variable in the source catalog of the first 10 yr of Fermi-LAT observations. The repository consists of lightcurves generated through full likelihood analyses that model the sources and the surrounding region, providing fluxes and photon indices for each time bin. The LCR is intended as a resource for the time-domain and multimessenger communities by allowing users to search LAT data quickly to identify correlated variability and flaring emission episodes from gamma-ray sources. We describe the sample selection and analysis employed by the LCR and provide an overview of the associated data access portal.

Scheda breve

Scheda completa

Scheda completa (DC)

	Anno
	
			2023
		
	Codice DOI
	
			https://dx.doi.org/10.3847/1538-4365/acbb6a
		
	Tutti gli autori
	
			Abdollahi, S.; Ajello, M.; Baldini, L.; Ballet, J.; Bastieri, D.; Becerra Gonzalez, J.; Bellazzini, R.; Berretta, A.; Bissaldi, E.; Bonino, R.; Brill, A.; Bruel, P.; Burns, E.; Buson, S.; Cameron, R. A.; Caputo, R.; Caraveo, P. A.; Cibrario, N.; Ciprini, S.; Cristarella Orestano, P.; Crnogorcevic, M.; Cutini, S.; D’Ammando, F.; De Gaetano, S.; Digel, S. W.; Di Lalla, N.; Di Venere, L.; Domínguez, A.; Ramazani, V. Fallah; Fegan, S. J.; Ferrara, E. C.; Fiori, A.; Fleischhack, H.; Franckowiak, A.; Fukazawa, Y.; Fusco, P.; Gammaldi, V.; Gargano, F.; Garrappa, S.; Gasbarra, C.; Gasparrini, D.; Giglietto, N.; Giordano, F.; Giroletti, M.; Green, D.; Grenier, I. A.; Guiriec, S.; Gustafsson, M.; Hays, E.; Horan, D.; Hou, X.; Jóhannesson, G.; Kerr, M.; Kocevski, D.; Kuss, M.; Latronico, L.; Li, J.; Liodakis, I.; Longo, F.; Loparco, F.; Lorusso, L.; Lott, B.; Lovellette, M. N.; Lubrano, P.; Maldera, S.; Manfreda, A.; Martí-Devesa, G.; Mazziotta, M. N.; Mereu, I.; Meyer, M.; Michelson, P. F.; Mizuno, T.; Monzani, M. E.; Morselli, A.; Moskalenko, I. V.; Negro, M.; Omodei, N.; Orlando, E.; Ormes, J. F.; Paneque, D.; Panzarini, G.; Perkins, J. S.; Persic, M.; Pesce-Rollins, M.; Pillera, R.; Porter, T. A.; Principe, G.; Racusin, J. L.; Rainò, S.; Rando, R.; Rani, B.; Razzano, M.; Razzaque, S.; Reimer, A.; Reimer, O.; Sánchez-Conde, M.; Parkinson, P. M. Saz; Scargle, Jeff; Scotton, L.; Serini, D.; Sgrò, C.; Siskind, E. J.; Spandre, G.; Spinelli, P.; Suson, D. J.; Tajima, H.; Thompson, D. J.; Torres, D. F.; Valverde, J.; Venters, T.; Wadiasingh, Z.; Wagner, S.; Wood, K.

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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1225208

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