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We present a data reduction pipeline (DRP) for Keck/NIRSPEC built as an addition to the PypeIt Python package. The DRP is capable of reducing multi-order echelle data taken both before and after the detector upgrade in 2018. As part of…

As part of an on-going effort to simplify the data analysis path for VLBI experiments, a pipeline procedure has been developed at JIVE to carry out much of the data reduction required for EVN experiments in an automated fashion. This…

Astrophysics · Physics 2016-08-30 C. Reynolds , Z. Paragi , M. Garrett

OSIRIS is a near-infrared (1.0--2.4 $\mu$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…

The VISIONS public survey provides large-scale, multiepoch imaging of five nearby star-forming regions at subarcsecond resolution in the near-infrared. All data collected within the program and provided by the European Southern Observatory…

Instrumentation and Methods for Astrophysics · Physics 2023-05-17 Stefan Meingast , Hervé Bouy , Verena Fürnkranz , David Hernandez , Alena Rottensteiner , Erik Brändli

A fully autonomous data reduction pipeline has been developed for FRODOSpec, an optical fibre-fed integral field spectrograph currently in use at the Liverpool Telescope. This paper details the process required for the reduction of data…

Instrumentation and Methods for Astrophysics · Physics 2015-06-03 R. M. Barnsley , R. J. Smith , I. A. Steele

We introduce our publicly available Wide-Field-Imaging reduction pipeline THELI. The procedures applied for the efficient pre-reduction and astrometric calibration are presented. A special emphasis is put on the methods applied to the…

Astrophysics · Physics 2015-05-13 H. Hildebrandt , T. Erben , M. Schirmer , J. P. Dietrich , P. Schneider

PyIRD is a Python-based pipeline for reducing spectroscopic data obtained with IRD (InfraRed Doppler; Kotani et al. (2018)) and REACH (Rigorous Exoplanetary Atmosphere Characterization with High dispersion coronagraphy; Kotani et al.…

Instrumentation and Methods for Astrophysics · Physics 2026-01-21 Yui Kasagi , Hajime Kawahara , Ziying Gu , Teruyuki Hirano , Takayuki Kotani , Masayuki Kuzuhara , Kento Masuda

SOFIA presents a number of interesting challenges for the development of a data reduction environment which, at its initial phase, will have to incorporate pipelines from seven different instruments. Therefore, the SOFIA data reduction…

Instrumentation and Methods for Astrophysics · Physics 2015-03-17 M. V. Charcos-Llorens , R. Krzaczek , R. Y. Shuping , L. Lin

The Combined Array for Millimeter-wave Astronomy (CARMA) data reduction pipeline (CADRE) has been developed to give investigators a first look at a fully reduced set of their data. It runs automatically on all data produced by the telescope…

Instrumentation and Methods for Astrophysics · Physics 2013-09-24 D. N. Friedel

Detecting small objects over large areas remains a significant challenge in satellite imagery analytics. Among the challenges is the sheer number of pixels and geographical extent per image: a single DigitalGlobe satellite image encompasses…

Computer Vision and Pattern Recognition · Computer Science 2021-02-25 Adam Van Etten

We present the end-to-end data reduction pipeline for SCALES (Slicer Combined with Array of Lenslets for Exoplanet Spectroscopy), the upcoming thermal-infrared, diffraction-limited imager, and low and medium-resolution integral field…

Instrumentation and Methods for Astrophysics · Physics 2025-09-22 Athira Unni , Steph Sallum , Peyton Benac , Michael P. Fitzgerald , Max Brodheim , Rosalie McGurk , Andy Skemer , William T. S. Deich

Written in Python and utilising ParselTongue to interface with the Astronomical Image Processing System (AIPS), the e-MERLIN data reduction pipeline is intended to automate the procedures required in processing and calibrating radio…

Instrumentation and Methods for Astrophysics · Physics 2015-02-18 Megan Argo

We describe the data reduction algorithms for the Multiband Imaging Photometer for Spitzer (MIPS) instrument. These algorithms were based on extensive preflight testing and modeling of the Si:As (24 micron) and Ge:Ga (70 and 160 micron)…

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…

Instrumentation and Methods for Astrophysics · Physics 2022-03-04 Sarah Steiger , John I. Bailey , Nicholas Zobrist , Noah Swimmer , Rupert Dodkins , Kristina K. Davis , Benjamin A. Mazin

With the advent of modern multi-detector heterodyne instruments that can result in observations generating thousands of spectra per minute it is no longer feasible to reduce these data as individual spectra. We describe the automated data…

Instrumentation and Methods for Astrophysics · Physics 2015-08-14 Tim Jenness , Malcolm J. Currie , Remo P. J. Tilanus , Brad Cavanagh , David S. Berry , Jamie Leech , Luca Rizzi

The TIFR-ARIES Near Infrared Spectrometer (TANSPEC) instrument provides simultaneous wavelength coverage from 0.55 to 2.5 micron, mounted on India's largest ground-based telescope, 3.6-m Devasthal Optical Telescope at Nainital, India. The…

Instrumentation and Methods for Astrophysics · Physics 2023-04-19 Supriyo Ghosh , Joe P. Ninan , Devendra K. Ojha , Saurabh Sharma

The SINFONI data reduction pipeline, as part of the ESO-VLT Data Flow System, provides recipes for Paranal Science Operations, and for Data Flow Operations at Garching headquarters. At Paranal, it is used for the quick-look data evaluation.…

We present the development of a machine learning based pipeline to fully automate the calibration of the frequency comb used to read out optical/IR Microwave Kinetic Inductance Detector (MKID) arrays. This process involves determining the…

Instrumentation and Methods for Astrophysics · Physics 2021-04-06 Neelay Fruitwala , Alex B Walter , John I Bailey , Rupert Dodkins , Benjamin A Mazin