D 2022

The Large Area Detector onboard the eXTP mission

FEROCI, Marco, Giovanni AMBROSI, Filippo AMBROSINO, Matias ANTONELLI, Andrea ARGAN et. al.

Basic information

Original name

The Large Area Detector onboard the eXTP mission

Authors

FEROCI, Marco, Giovanni AMBROSI, Filippo AMBROSINO, Matias ANTONELLI, Andrea ARGAN, Viktor BABINEC, Marco BARBERA, Jorg BAYER, Pierluigi BELLUTTI, Bruna BERTUCCI, Giuseppe BERTUCCIO, Xingzi BI, Mirko BOEZIO, Walter BONVICINI, Giacomo BORGHI, Enrico BOZZO, David BAUDIN, Florent BOUYJOU, Daniele BRIENZA, Franck CADOUX, Riccardo CAMPANA, Jiewei CAO, Elisabetta CAVAZZUTI, Francesco CERAUDO, Tianxiang CHEN, Wen CHEN, Daniela CIRRINCIONE, Nicolas DE ANGELIS, Alessandra DE ROSA, Ettore DEL MONTE, Sergio DI COSIMO, Giuseppe DILILLO, Roman DOHNAL, Immacolata DONNARUMMA, Yuri EVANGELISTA, Qingmei FAN, Yannick FAVRE, Emanuele FIANDRINI, Francesco FICORELLA, Fabio FUSCHINO, Na GAO, Olivier GEVIN, Marco GRASSI, Manuel GUEDEL, Xingbo HAN, Huilin HE, Paul HEDDERMAN, Jan-Willem DEN HERDER, Richard HYNEK, Bing HONG, Ge JIN, Merlin KOLE, Vladimír KARAS (203 Czech Republic), Martin KOMAREK, Claudio LABANTI, Loghui LI, Tianming LI, Hong LIANG, Olivier LIMOUSIN, Rui LIU, Ugo LO CICERO, Jens LOHERING, Giovanni LOMBARDI, Fang-Jun LU, Tao LUO, Piero MALCOVATI, Hanqi MAO, Andrea MARINUCCI, Filippo MELE, Vasco MENDES, Martin MERKL, Aline MEURIS, Malgorzata MICHALSKA, Alfredo MORBIDINI, Gianluca MORGANTE, Fabio MULERI, Riccardo MUNINI, Lorenzo MUSSOLIN, Barbara NEGRI, Petr NOVAK, Witold NOWOSIELSKI, Alessio NUTI, Piotr ORLEANSKI, Roland OTTENSAMER, Luigi PACCIANI, Stephane PALTANI, Teng PAN, Giancarlo PEPPONI, Emanuele PERINATI, Raffaele PIAZZOLLA, Antonino PICCIOTTO, Samuel PLIEGO, Alexandre RACHEVSKI, Irina RASHEVSKAIA, Andrea SANTANGELO, Stephane SCHANNE, Roberto SERAFINELLI, Konrad SKUP, Libor SVEDA, Jiri SVOBODA, Chris TENZER, Michela TODARO, Gabriel TÖRÖK (203 Czech Republic, belonging to the institution), Alessio TROIS, Andrea VACCHI, Enrico VIRGILLI, Hao XIONG, Jian WANG, Xianqi WANG, Berend WINTER, Xin WU, Yupeng XU, Gianluigi ZAMPA, Nicola ZAMPA, Andrei ZDZIARSKI, Long ZHANG, Shu ZHANG, Shuang-Nan ZHANG, Wenda ZHANG, Xiaoli ZHANG, Zhen ZHANG, Yupeng ZHOU and Nicola ZORZI

Edition

BELLINGHAM (USA), SPACE TELESCOPES AND INSTRUMENTATION 2022: ULTRAVIOLET TO GAMMA RAY, p. 1-18, 18 pp. 2022

Publisher

SPIE-INT SOC OPTICAL ENGINEERING

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10308 Astronomy

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

URL

RIV identification code

RIV/47813059:19630/22:A0000194

Organization unit

Institute of physics in Opava

ISSN

DOI

http://dx.doi.org/10.1117/12.2628814

UT WoS

000865607100042

Keywords in English

Large Area Detector;eXTP mission

Tags

, RIV23
Změněno: 13/2/2023 10:48, Mgr. Pavlína Jalůvková

Abstract

V originále

The Large Area Detector (LAD) is the high-throughput, spectral-timing instrument onboard the eXTP mission, a flagship mission of the Chinese Academy of Sciences and the China National Space Administration, with a large European participation coordinated by Italy and Spain. The eXTP mission is currently performing its phase B study, with a target launch at the end-2027. The eXTP scientific payload includes four instruments (SFA, PFA, LAD and WFM) offering unprecedented simultaneous wide-band X-ray timing and polarimetry sensitivity. The LAD instrument is based on the design originally proposed for the LOFT mission. It envisages a deployed 3.2 m(2) effective area in the 2-30 keV energy range, achieved through the technology of the large-area Silicon Drift Detectors - offering a spectral resolution of up to 200 eV FWHM at 6 keV - and of capillary plate collimators - limiting the field of view to about 1 degree. In this paper we will provide an overview of the LAD instrument design, its current status of development and anticipated performance.
Displayed: 25/11/2024 22:42