The Stratospheric UV Demonstrator of an Imaging Observatory (STUDIO) is a balloon-borne platform designed and built to carry different astronomical instruments or telescopes. It thereby offers an accessible and affordable platform for observations in atmosphere-constrained wavelength ranges. In its current setup, it houses an imaging micro-channel plate (MCP) detector on a 0.5 m aperture telescope. The first flight of this setup is planned during the summer turnaround conditions over Esrange, Sweden, in the 2023 or 2024 season. This mission will act as a demonstrator and technical test for the versatile and scalable astronomical platform as well as for the aforementioned MCP instrument. If successful, it will furthermore allow first scientific studies of variable hot compact stars and flaring M-dwarf stars within the galactic plane.In this paper, we present the design and current status of testing of the STUDIO platform, particularly including environmental tests of the optical elements, on-sky tests of the gondola attitude control system, and simulation results of the image stabilization system. We furthermore describe the planned system tests as part of the flight preparation. As an outlook, we present details on how the platform can be used to fly different instruments or telescopes, including potential flight routes and science opportunities.
<div class="page" title="Page 2"> <div class="layoutArea"> <div class="column"> <div class="page" title="Page 1"> <div class="section"> <div class="layoutArea"> <div class="column"> <p>For most astronomical measurements, observations in the ultraviolet (UV) at wavelengths below ~320 nm are not possible from the ground because of atmospheric extinction by the atmosphere. Early on, observers started using stratospheric balloons as relatively flexible and affordable means to access ultraviolet wavelengths, thus overcoming most atmospheric limitations.</p> </div> </div> </div> </div> <p>Balloons offer a flexible and affordable alternative to space telescopes, with short development times and comparably good observing conditions in many wavelength ranges. Yet, the entry burden to use balloon-borne telescopes is high, with research groups typically having to shoulder part of the infrastructure development as well. Aiming to ease access to balloon-based observations, we present the concept of a community-accessible balloon-based observatory, the European Stratospheric Balloon Observatory (ESBO). ESBO aims at complementing the current landscape of scientific ballooning activities by providing a service-centered infrastructure for broad astronomical use, performing regular flights and offering an operations concept that provides researchers with a similar proposal-based access to observation time as practiced on ground-based observatories.</p> <div class="page" title="Page 1"> <div class="section"> <div class="layoutArea"> <div class="column"> <p>The STUDIO (Stratospheric Ultraviolet Demonstrator ofan Imaging Observatory) mission consists of the development and construction of a versatile prototype gondola (figure 1) and telescope (figure 2), which shall perform technology tests as well as deliver first scientific results from astronomical observations during its maiden flight planned for 2021. Its main optical payload includes a 50 cm aperture telescope to the back of which the Telescope Instruments Platform (TIP) will be attached. STUDIO is the prototype mission and the first objective of the research infrastructure project ESBO DS.</p> </div> </div> </div> </div> <p><img src="data:image/png;base64, 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
Stratospheric balloons offer accessible and affordable platforms for observations in atmosphere-constrained wavelength ranges. At the same time, they can serve as an effective step for technology demonstration towards future space applications of instruments and other hardware.The Stratospheric UV Demonstrator of an Imaging Observatory (STUDIO) is a balloon-borne platform and mission carrying an imaging micro-channel plate (MCP) detector on a 0.5 m aperture telescope. STUDIO is currently planned to fly during the summer turnaround conditions over Esrange, Sweden, in the 2022 season. For details on the ultraviolet (UV) detector, see the contribution of Conti et al. to this symposium. 1 The scientific goal of the mission is to survey for variable hot compact stars and flaring M-dwarf stars within the galactic plane. At the same time, the mission acts as a demonstrator for a versatile and scalable astronomical balloon platform as well as for the aforementioned MCP instrument. The gondola is designed to allow the use of different instruments or telescopes. Furthermore, it is designed to serve for several, also longer, flights, which are envisioned under the European Stratospheric Balloon Observatory (ESBO) initiative.In this paper, we present the design and current status of manufacturing and testing of the STUDIO platform. We furthermore present the current plans for the flight and observations from Esrange. STATE OF THE ART IN BALLOON-BORNE ASTRONOMYThe idea of using stratospheric balloons to overcome the opacity of Earth's atmosphere for astronomical observations is not new. Historically, the advantages were obvious: spacecraft did not exist or were hardly available and capabilities of airplanes were limited, leaving balloons as the only option to move instruments above most of the atmosphere. Nowadays, the benefits do not seem as clear: both spacecraft and airplanes provide powerful observation platforms and ground-based telescopes invest large efforts into compensating atmospheric influences. However, even in the era of nano-and microsatellites, space observatories are intrinsically expensive and bear operational limitations: development times are long, updates or corrections of the instrumentation are usually not possible after launch, and consumables, such as cryogenic coolant fluids, cannot be refilled or replaced, as seen with the Herschel Space Observatory. Furthermore, rather conservative approaches towards new technologies are used to minimize risks of expensive failure. Ground-based and airborne telescopes, on the other hand, still suffer from fundamental limitations imposed by the atmosphere at certain wavelengths.On the other hand, technological advances have made balloon-borne telescopes more attractive over the last couple of years. These particularly include more reliable balloons and the opening of long-duration flight routes, allowing flight durations of 30 to 40 days on "conventional" long duration routes and promising 50 to 100 days on ultra long duration routes. Consequently, the last couple of...
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