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Jyotika Roychowdhury

Publications and source records attributed to Jyotika Roychowdhury.

2 recordsLinked to original sources

Surveying the Universe in 4D: Beating Cosmic Variance with Wide-Field Slitless Spectroscopy from HST, JWST, Euclid, Roman, and Beyond

We summarize strategies, lessons learned, and future directions from the Space Telescope Science Institute workshop Surveying the Universe in 4D: Beating Cosmic Variance with Wide-Field Slitless Spectroscopy from HST, JWST, Euclid, Roman, and Beyond, held August 24--28, 2026. The workshop examined scientific results, observational and data analysis challenges, extraction tools, and future opportunities. Discussions highlighted (1) the transformative potential of WFSS for the study of transient phenomena, galaxy evolution --both spatially-resolved and within the broader context of the cosmic web--, and rare populations and (2) the synergies among Euclid and Roman surveys, Rubin-LSST monitoring, JWST WFSS, and high-resolution integral-field observations. Participants identified advances in forward modeling and physics-informed machine learning as essential for addressing spectral overlap, crowded fields, and upcoming, very large data volumes. Realizing WFSS's full potential will require community-wide infrastructure, science-ready data products, accessible cloud-based analysis tools, and robust benchmarking of reduction pipelines. Crucially, participants called for systemic changes to properly recognize early-career researchers who invest significant efforts in pipeline, code, and calibration developments that enable WFSS science, and stressed that progress requires collaborative, multidisciplinary practices that optimize the participation and benefits of the next generation.

astro-ph.GA↗

Astronomical Image Processing Benchmark Study for Various Telescope Aperture Shapes

We explore the impact of different telescope apertures on the image simulation and deconvolution processes within the context of a synthetic star field. Using HCIPy and Python programming, we modelled six telescope apertures namely Circular, Hexagonal, Elliptical (with horizontal and vertical major axes), segmented hexagonal (JWST), and obstructed circular (HST). We calculated Point Spread Functions (PSFs) for each aperture, incorporating surface shape-induced wavefront aberrations, convolved them with a synthetic star field spanning a range of brightness magnitudes, and introduced photon and detector noise layers to simulate realistic imaging conditions. Subsequent deconvolution using the Richardson-Lucy algorithm allowed for an analysis of deconvolution accuracy based on parameters like average distance between stars and differences in the number of stars between original and deconvolved images. Results indicate that the choice of telescope aperture significantly influences both simulated images and deconvolution outcomes, with brightness magnitude also playing a crucial role. The study highlights the necessity of optimizing image processing pipelines and Deconvolution algorithms tailored to each aperture shapes and their corresponding PSFs, emphasizing the pivotal role of aperture selection and optimization in achieving accurate astronomical imaging performance.

astro-ph.IM↗