David R. Young, Marco Landoni, Stephen J. Smartt, Sergio Campana, Riccardo Claudi, Pietro Schipani, Matteo Aliverti, Andrea Baruffolo, Sagi Ben-Ami, Federico Bi… 展开作者
David R. Young, Marco Landoni, Stephen J. Smartt, Sergio Campana, Riccardo Claudi, Pietro Schipani, Matteo Aliverti, Andrea Baruffolo, Sagi Ben-Ami, Federico Biondi, Giulio Capasso, Rosario Cosentino, Francesco D'Alessio, Paolo D'Avanzo, Ofir Hershko, Hanindyo Kuncarayakti, Matteo Munari, Giuliano Pignata, Adam Rubin, Salvatore Scuderi, Fabrizio Vitali, Jani Achrén, José Antonio Araiza-Duran, Iair Arcavi, Anna Brucalassi, Rachel Bruch, Enrico Cappellaro, Mirko Colapietro, Massimo Della Valle, Marco De Pascale, Rosario Di Benedetto, Sergio D'Orsi, Avishay Gal-Yam, Matteo Genoni, Marcos Hernandez, Jari Kotilainen, Gianluca Li Causi, Seppo Mattila, Michael Rappaport, Kalyan Radhakrishnan, Davide Ricci, Marco Riva, Bernardo Salasnich, Ricardo Zanmar Sanchez, Maximilian Stritzinger, Hector Ventura
The SOXS is a dual-arm spectrograph (UV-VIS & NIR) and AC due to mounted on the ESO 3.6m NTT in La Silla. Designed to simultaneously cover the optical and NIR wavelength range from 350-2050 nm, the instrument will be dedicated to the study of transient and variable events with many Target of Opportunity requests expected.
The goal of the SOXS Data Reduction pipeline is to use calibration data to remove all instrument signatures from the SOXS scientific data frames for each of the supported instrument modes, convert this data into physical units and deliver them with their associated error bars to the ESO SAF as Phase 3 compliant science data products, all within 30 minutes. The primary reduced product will be a detrended, wavelength and flux calibrated, telluric corrected 1D spectrum with UV-VIS + NIR arms stitched together. The pipeline will also generate QC metrics to monitor telescope, instrument and detector health.
The pipeline is written in Python 3 and has been built with an agile development philosophy that includes adaptive planning and evolutionary development. The pipeline is to be used by the SOXS consortium and the general user community that may want to perform tailored processing of SOXS data. Test driven development has been used throughout the build using `extreme' mock data. We aim for the pipeline to be easy to install and extensively and clearly documented.
We present the development of the End-to-End simulator for the SOXS instrument at the ESO-NTT 3.5-m telescope. SOXS will be a spectroscopic facility, made by two arms high efficiency spectrographs, able to cover the spectral range 350-2000 nm with resolving power R=4500. The E2E model allows to simulate the propagation of photons starting from the scientific target of interest up to the detectors. The outputs of the simulator are synthetic frames, which will be mainly exploited for optimizing the pipeline development and possibly assisting for proper alignment and integration phases in laborat…
The Son-Of-XShooter (SOXS) is a single object spectrograph (UV-VIS & NIR) and acquisition camera scheduled to be mounted on the ESO 3.58-m New Technology Telescope at the La Silla Observatory. Although the underlying data reduction processes to convert raw detector data to fully-reduced science ready data are complex and multi-stepped, we have designed the SOXS Data Reduction pipeline with the core aims of providing end-users with a simple-to-use, well-documented command-line interface while also allowing the pipeline to be run in a fully automated state; streaming reduced data into the ESO Sc…
We present the progresses of the simulation tools, the Exposure Time Calculator (ETC) and End-to-End simulator (E2E), for the Son Of X-Shooter (SOXS) instrument at the ESO-NTT 3.58-meter telescope. The SOXS will be a single object spectroscopic facility, made by a two-arms high-efficiency spectrograph, able to cover the spectral range 350-2000 nanometer with a mean resolving power R$\approx$4500. While the purpose of the ETC is the estimate, to the best possible accuracy, of the Signal-to-Noise ratio (SNR), the E2E model allows us to simulate the propagation of photons, starting from the scien…
We developed a high-speed image reduction pipeline using Graphics Processing Units (GPUs) as hardware accelerators. Astronomers desire detecting EM counterpart of gravitational-wave sources as soon as possible for sharing positional information to organize systematic follow-up observations. Therefore, high-speed image processing is important. We developed a new image reduction pipeline for our robotic telescope system, which uses a GPU via a Python package CuPy to achieve high-speed image processing. As a result, the processing speed was increased by more than a factor of forty to that of the …
The Colorado Ultraviolet Transit Experiment (CUTE) is a 6U NASA CubeSat carrying a low-resolution (R ~3000), near-ultraviolet (255 - 330nm) spectrograph fed by a rectangular primary Cassegrain. CUTE, is planned for launch in spring 2020 and it will monitor transiting extra-solar planets to study atmospheric escape. We present here the CUTE data simulator, which is a versatile tool easily adaptable to any other mission performing single-slit spectroscopy and carrying on-board a CCD detector. We complemented the data simulator with a data reduction pipeline capable of performing a rough reductio…
PypeIt is a Python package for semi-automated reduction of astronomical, spectroscopic data. Its algorithms build on decades-long development of previous data reduction pipelines by the developers (Bernstein, Burles, & Prochaska, 2015; Bochanski et al., 2009). The reduction procedure -- including a complete list of the input parameters and available functionality -- is provided as online documentation hosted by Read the Docs, which is regularly updated. (https://pypeit.readthedocs.io/en/latest/). Release v1.0.3 serves the following spectrographs: Gemini/GNIRS, Gemini/GMOS, Gemini/FLAMINGOS 2, …
MeerKATHI is the current development name for a radio-interferometric data reduction pipeline, assembled by an international collaboration. We create a publicly available end-to-end continuum- and line imaging pipeline for MeerKAT and other radio telescopes. We implement advanced techniques that are suitable for producing high-dynamic-range continuum images and spectroscopic data cubes. Using containerization, our pipeline is platform-independent. Furthermore, we are applying a standardized approach for using a number of different of advanced software suites, partly developed within our group.…
The Colorado Ultraviolet Transit Experiment (CUTE) is a 6U NASA CubeSat carrying on-board a low-resolution, near-ultraviolet (2479-3306 A) spectrograph. It has a Cassegrain telescope with a rectangular primary to maximize the collecting area, given the shape of the satellite bus, and an aberration correcting grating to improve the image quality, and thus spectral resolution. CUTE, launched on the 27th of September 2021 to a Low Earth Orbit, is designed to monitor transiting extra-solar planets orbiting bright, nearby stars to improve our understanding of planet atmospheric escape and star-plan…
iLocater is a near-infrared (NIR) radial velocity (RV) spectrograph that is being developed for the Large Binocular Telescope in Arizona. Unlike seeing limited designs, iLocater uses adaptive optics to inject starlight directly into a single mode fiber. This feature offers high spectral resolution while simultaneously maintaining a compact optical design. Although this approach shows promise to generate extremely precise RV measurements, it differs from conventional Doppler spectrographs, and therefore carries additional risk. To aid with the design of the instrument, we have developed a compr…
DHARA: Data Handling and Automated Reduction pipeline for AIMPOL
Foundation for Research and Technology - Hellas（希腊研究与技术基金会）；Physical Research Laboratory（物理研究实验室）；Aryabhatta Research Institute of Observational Sciences（阿亚帕塔观测科学研究所）；University of Crete（克里特大学）；Maulana Azad National Institute of Technology（莫拉纳·阿扎德国立理工学院）
We present flame, a pipeline for reducing spectroscopic observations obtained with multi-slit near-infrared and optical instruments. Because of its flexible design, flame can be easily applied to data obtained with a wide variety of spectrographs. The flexibility is due to a modular architecture, which allows changes and customizations to the pipeline, and relegates the instrument-specific parts to a single module. At the core of the data reduction is the transformation from observed pixel coordinates (x, y) to rectified coordinates (lambda, gamma). This transformation consists in the polynomi…
FRIDA（用于GTC自适应光学系统的红外成像仪和析像管）将是一个近红外（1- 2.5微米）成像仪和积分场单元摄谱仪，与10.4米GTC望远镜的自适应光学系统一起工作。FRIDA将提供宽带和窄带衍射限制成像和积分场光谱学在低，中，高光谱分辨率。马德里康普顿斯大学河外天体物理学和天文仪器组正在为FRIDA开发数据缩减管道。将开发用于将输出、简化数据立方体转换为标准Euro 3D FITS格式的具体工具，以便用户能够利用现有VO应用程序进行分析。FRIDA将于2011年在望远镜上投入使用。
BlueMUSE is an integral field spectrograph in an early development stage for the ESO VLT. For our design of the data reduction software for this instrument, we are first reviewing capabilities and issues of the pipeline of the existing MUSE instrument. MUSE has been in operation at the VLT since 2014 and led to discoveries published in more than 600 refereed scientific papers. While BlueMUSE and MUSE have many common properties we briefly point out a few key differences between both instruments. We outline a first version of the flowchart for the science reduction, and discuss the necessary ch…
We present the data reduction pipeline, MEAD, for Arizona Lenslets for Exoplanet Spectroscopy (ALES), the first thermal infrared integral field spectrograph designed for high-contrast imaging. ALES is an upgrade of LMIRCam, the $1-5\,μ$m imaging camera for the Large Binocular Telescope, capable of observing astronomical objects in the thermal infrared ($3-5\,μ$m) to produce simultaneous spatial and spectral data cubes. The pipeline is currently designed to perform $L$-band ($2.8-4.2\,μ$m) data cube reconstruction, relying on methods used extensively by current near-infrared integral field spec…
We aim to provide a suite of publicly available spectral data reduction software to facilitate rapid scientific outcomes from time-domain observations. For time resolved observations, an automated pipeline frees astronomers from performance of the routine data analysis tasks to concentrate on interpretation, planning future observations and communication with international collaborators. The project consists of two parts: data processing (ASPIRED) and a graphical user interface (gASPIRED).ASPIREDis written in python 3, and was intentionally developed as a self-consistent reduction pipeline wit…
The 4m International Liquid Mirror Telescope (ILMT) installation activities have recently been completed at the Devasthal observatory (Uttarakhand, India). The ILMT will perform continuous observation of a narrow strip of the sky ($\sim$27$'$) passing over the zenith in the SDSS $g'$, $r'$ and $i'$ bands. In combination with a highly efficient 4k $\times$ 4k CCD camera and an optical corrector, the images will be secured at the prime focus of the telescope using the Time Delayed Integration technique. The ILMT will reach $\sim$22.5 mag ($g'$-band) in a single scan and this limiting magnitude c…
OSIRIS is a near-infrared (1.0--2.4 $μ$m) integral field spectrograph operating behind the adaptive optics system at Keck Observatory, and is one of the first lenslet-based integral field spectrographs. Since its commissioning in 2005, it has been a productive instrument, producing nearly half the laser guide star adaptive optics (LGS AO) papers on Keck. The complexity of its raw data format necessitated a custom data reduction pipeline (DRP) delivered with the instrument in order to iteratively assign flux in overlapping spectra to the proper spatial and spectral locations in a data cube. Oth…
Quality Assessment of Spectroscopic Data Reduction Pipelines Using Artificial Intelligence: Scrutinizing Data Release 2 from the DESI Survey
Universidad de los Andes（安第斯大学）；Tecnológico de Monterrey, Escuela de Ingeniería y Ciencias（蒙特雷理工学院，工程与科学学院）；Lawrence Berkeley National Laboratory（劳伦斯伯克利国家实验室）；University of Toronto（多伦多大学）；University of Pittsburgh（匹兹堡大学）
We present our implementation of an automated VLBI data reduction pipeline dedicated to interferometric data imaging and analysis. The pipeline can handle massive VLBI data efficiently which makes it an appropriate tool to investigate multi-epoch multiband VLBI data. Compared to traditional manual data reduction, our pipeline provides more objective results since less human interference is involved. Source extraction is done in the image plane, while deconvolution and model fitting are done in both the image plane and the uv plane for parallel comparison. The output from the pipeline includes …
We present The MKID Pipeline, a general use science data pipeline for the reduction and analysis of ultraviolet, optical and infrared (UVOIR) Microwave Kinetic Inductance Detector (MKID) data sets. This paper provides an introduction to the nature of MKID data sets, an overview of the calibration steps included in the pipeline, and an introduction to the implementation of the software.
Data reduction pipeline for the SuMAC millimeter-wave spectrometer at the LMT
Boston University（波士顿大学）；Cardiff University（卡迪夫大学）；California Institute of Technology（加州理工学院）；Jet Propulsion Laboratory（喷气推进实验室）；Instituto Nacional de Astrofísica, Óptica y Electrónica（国家天文学、光学和电子学研究所）；The University of Chicago（芝加哥大学）；University of California Santa Barbara（加州大学圣塔芭芭拉分校）；Dalhousie University（达尔豪斯大学）
KMTNet Synoptic Survey of Southern Sky II: Data Reduction and Real-Time Transient Detection Pipeline
Seoul National University（首尔大学）；Daegu National Science Museum（大邱国立科学博物馆）；Korea Astronomy and Space Science Institute（韩国天文学与空间科学研究院）；University of Hawaii（夏威夷大学）
本文介绍KMTNet南天全景巡天数据释放1的图像处理流水线，涵盖数据质量保证、天体测量、光度零点校准等核心方法，实现亚像素精度的天体测量和22-23 AB mag的5西格玛深度。
I present and summarize a software package ("LPipe") for completely automated, end-to-end reduction of both bright and faint sources with the Low-Resolution Imaging Spectrometer (LRIS) at Keck Observatory. It supports all gratings, grisms, and dichroics, and also reduces imaging observations, although it does not include multislit or polarimetric reduction capabilities at present. It is suitable for on-the-fly quicklook reductions at the telescope, for large-scale reductions of archival data-sets, and (in many cases) for science-quality post-run reductions of PI data. To demonstrate its capabi…
SIPGI is a spectroscopic pipeline for the data reduction of optical/near-infrared data acquired by slit-based spectrographs. SIPGI is a complete spectroscopic data reduction environment retaining the high level of flexibility and accuracy typical of the standard "by-hand" reduction methods but with a significantly higher level of efficiency. This is obtained exploiting three main concepts: 1) a built-in data organiser to classify the data, together with a graphical interface; 2) the instrument model (analytic description of the main calibration relations); 3) the design and flexibility of the …
phoptic -- a Python package for reducing astronomical images
School of Physics and Astronomy University of Southampton（南安普顿大学物理与天文学学院）；Department of Physics University of Warwick（华威大学物理系）；Fluid and Complex Systems Centre Coventry University（考文垂大学流体与复杂系统中心）；Instituto de Astronomía Universidad Nacional Autónoma de México（墨西哥国立自治大学天文研究所）；Universidad Nacional de Córdoba Observatorio Astronómico de Córdoba（科尔多瓦国立大学科尔多瓦天文台）；Consejo Nacional de Investigaciones Científicas y Téchnicas (CONICET)（国家科学研究委员会）；ComplyAdvantage；SUPA Physics and Astronomy University of St Andrews（圣安德鲁斯大学物理学与天文学）
This paper describes the software DRAGraces (Data Reduction and Analysis for GRACES), which is a pipeline reducing spectra from GRACES (Gemini Remote Access to the CFHT ESPaDOnS Spectrograph) at the Gemini North Telescope. The code is written in the IDL language. It is designed to find all the GRACES frames in a given directory, automatically determine the list of bias, flat, arc and science frames, and perform the whole reduction and extraction within a few minutes. We compare the output from DRAGraces with that of OPERA, a pipeline developed at CFHT that also can extract GRACES spectra. Both…
