First scientific operation and performances of the Javalambre Panoramic Camera (JPCam) are presented in this paper. JPCam, deployed on the 2.6m large field-of-view Javalambre Survey Telescope (JST250) at the Observatorio Astrof´ısico de Javalambre (OAJ), is a 1.2 Gpixel camera conceived to perform the Javalambre Physics of the Accelerated Universe Astrophysical Survey (J-PAS). J-PAS in an unprecedented photometric sky survey of several thousand square degrees of the northern sky in 56 optical bands, 54 of them narrow-band filters (145 Å FWHM). The innovative designs of the J-PAS instrument and filter system has been optimized to accurately measure photometric redshifts for galaxies up to z∼1 and to study stellar populations in nearby galaxies. As a result, J-PAS will provide a low-resolution spectroscopy for hundreds of millions of other galaxies. The data set produced by this survey will have a unique legacy value, allowing a wide range of astrophysical studies. To this aim, JPCam is equipped with a mosaic of 14 large format 9.2k x 9.2k, 10μm pixel, low noise detectors from Teledyne-E2V, providing an unvignetted Field of View of 3.4 square degrees with a plate scale of 0.2267′′/pix. Its filter unit admits 5 filter trays, each mounting 14 filters corresponding to the 14 CCDs of the mosaic and allowing all the J-PAS filters to be permanently installed. To optimize image quality during the observations, the position of the JST250 secondary mirror and JPCam focal plane are maintained optically aligned by means of two hexapod systems. To perform this task, JPCam includes 12 auxiliary detectors, 4 for autoguiding and 8 for image quality control through wavefront sensing. JPCam commissioning was successfully completed and first scientific operation started in summer 2023. This paper shows JPCam on-sky operation and first J-PAS Science Verification results, demonstrating fulfilment of the main J-PAS scientific requirements.
TolTEC is an imaging polarimeter installed on the Large Millimeter Telescope that simultaneously images the sky at 1.1, 1.4, and 2.0 mm. We have developed the open-source, fully parallelized C++ data reduction pipeline, citlali, to process TolTEC’s raw time-ordered data for science and calibration observations into on-sky maps, while also performing map coaddition and post-map-making analyses. Here, we describe citlali’s structure, including its reduction stages, algorithms, and parallelization scheme. We also present the results of the application of citlali to both TolTEC commissioning data and synthetic observations, characterizing the resulting map properties, as well as the software performance and memory usage.
TolTEC is a new camera that will shortly be mounted on the Large Millimeter Telescope (LMT). It provides simultaneous, polarization-sensitive imaging at wavelengths of 1.1, 1.4 and 2.0 mm through its 7718 Lumped element Kinetic Inductance Detectors (KIDs). The TolTEC data analysis software stack, TolTECA, has been developed to facilitate the data analysis tasks, producing science-ready data products for both the TolTEC legacy surveys and for future principal investigator projects. The software stack consists of a high performance fully parallelized C++ data reduction pipeline engine citlali, and an infrastructural Python package tolteca, which works at the highest level, with many notable features including data product management, a web-based data visualization framework, timely analysis and quick-look tools for on-site observing, and a TolTEC observation simulator.
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