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Dmitry Onoprienko

Publications and source records attributed to Dmitry Onoprienko.

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The On-Sky Performance of the LSST Camera CCD Array

The focal plane of the LSST Camera contains 189 individual science CCDs, arranged into 21 raft tower modules, along with 4 wavefront and 8 guider CCDs located in 4 additional corner RTMs. Altogether, the LSST Camera CCDs compose the largest focal plane ever constructed. The LSST Camera is the primary instrument of Rubin Observatory, which will begin the Legacy Survey of Space and Time in 2026. In this paper, we describe the on-sky performance of the LSST Camera CCDs, from receipt at NSF/DOE Vera C. Rubin Observatory in May 2024 to on-sky observations during the first year of operations. We discuss the process to establish functionality of several CCDs which were affected by an electrical short and faulty analog-digital converter, optimizations of readout timing in response to changes in the survey strategy, and implementation of enhanced focal plane safety measures through an active clearing mechanism on the CCDs. Finally, we discuss sensor features observed on-sky, and global performance during the first year of operations. The operations to date of the LSST Camera CCDs have demonstrated the capability of performing a wide, fast, and deep optical imaging survey of the entire southern sky at the Rubin Observatory.

astro-ph.IM

The filter exchange system of the LSSTCam at the Vera C. Rubin Observatory

The Filter Exchange System of the LSSTCam at the Vera C. Rubin Observatory is a critical subsystem enabling the Legacy Survey of Space and Time (LSST) by performing rapid, repeatable exchanges among five large-format filters within a highly constrained in-camera volume. Since the start of on-sky operations in April 2025, the FES has routinely performed up to 40 filter exchanges per night, completing each change in under 90 seconds with a positioning repeatability of 100 micrometers in the focal plane. Safety and reliability are ensured through a dedicated software architecture. Drawing on over a year of operational experience, we report on the in-situ performance of this sophisticated system within the observatory environment, characterize the key performance metrics, and discuss how specific design choices have influenced system behavior and reliability in practice.

astro-ph.IM

Calorimeter Assisted Tracking Algorithm for SiD

Calorimeter-assisted track finding algorithm takes advantage of the finely segmented electromagnetic calorimeter proposed for the SiD detector concept by looking for "MIP stubs" produced by charged particles in the calorimeter, and using them as seeds for pattern recognition in the tracker. The algorithm allows for efficient reconstruction of tracks that cannot be found using seeds provided by the vertex detector, even if standalone pattern recognition in the outer tracker is difficult. The algorithm has been implemented as a package in the org.lcsim framework. Current status of the package and its performance in non-prompt tracks reconstruction are described.

physics.ins-det