The SOXS scheduler for remote operation at LaSilla:Concept and design

SPIE AIT 2020 In this paper we present the SOXS Scheduler, a web-based application aimed at optimising remote observations at the NTT-ESO in the context of scientific topics of both the SOXS Consortium and regular ESO proposals.This paper will give details of how detected transients from various sur...

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Hauptverfasser: Landoni, Marco, Young, Dave, Marty, Laurent, Asquini, Laura, Smartt, Stephen J, Trombetta, Alberto, Campana, Sergio, Claudi, Riccardo, Schipani, Pietro, Aliverti, Matteo, Baruffolo, Andrea, Ami, Sagi Ben, Biondi, Federico, Capasso, Giulio, Cosentino, Rosario, D'Alessio, Francesco, D'Avanzo, Paolo, Hershko, Ofir, Kuncarayakti, Hanindyo, Munari, Matteo, Pignata, Giuliano, Rubin, Adam, Scuderi, Salvatore, Vitali, Fabrizio, Achren, Jani, Araiza-Duran, Jose Antonio, Arcavi, Iair, Brucalassi, Anna, Bruch, Rachel, Cappellaro, Enrico, Colapietro, Mirko, Della Valle, Massimo, De Pascale, Marco, Di Benedetto, Rosario, DOrsi, Sergio, Yam, Avishay Gal, Genoni, Matteo, Hernandez, Marcos, Kotilainen, Jari, Causi, Gianluca Li, Mattila, Seppo, Rappaport, Michael, Radhakrishnan, Kalyan, Ricci, Davide, Riva, Marco, Salasnich, Bernardo, Sanchez, Ricardo Zanmar, Stritzinger, Maximilian, Ventura, Hector
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Zusammenfassung:SPIE AIT 2020 In this paper we present the SOXS Scheduler, a web-based application aimed at optimising remote observations at the NTT-ESO in the context of scientific topics of both the SOXS Consortium and regular ESO proposals.This paper will give details of how detected transients from various surveys are inserted, prioritised, and selected for observations with SOXS at the NTT while keeping the correct sharing between GTO time (for the SOXSConsortium) and the regularly approved observing time from ESO proposals. For the 5-years of operation ofSOXS this vital piece of software will provide a night-by-night dynamical schedule, allowing the user to face rapid changes during the operations that might come from varying weather conditions or frequent target of opportunity (ToO) observations that require a rapid response. The scheduler is developed with high available and scalable architecture in mind and it implements the state-of-the-art technologies for API Restful application like Docker Containers, API Gateway, and Python-based Flask frameworks.
DOI:10.48550/arxiv.2012.12677