The Automated Data Extraction, Processing, and Tracking System for CHARIS

Data Reduction Pipeline for the CHARIS Integral-Field Spectrograph I: Detector Readout Calibration and Data Cube Extraction

We present the data reduction pipeline for CHARIS, a high-contrast integral-field spectrograph for the Subaru Telescope. The pipeline constructs a ramp from the raw reads using the measured nonlinear pixel response, and reconstructs the data cube using one of three extraction algorithms: aperture photometry, optimal extraction, or $χ^2$ fitting. We measure and apply both a detector flatfield and a lenslet flatfield and reconstruct the wavelength- and position-dependent lenslet point-spread function (PSF) from images taken with a tunable laser. We use these measured PSFs to implement a $χ^2$-ba…

基于非恒星跟踪图像特征提取的快速自动多运动目标检测方法

Rapid Automatic Multiple Moving Objects Detection Method Based on Feature Extraction from Images with Non-sidereal Tracking

本文提出一种结合源特征提取与神经网络的快速多运动目标检测方法，可在非恒星跟踪大视场图像中以94.72%精度和5.02%虚警率快速检测不同运动模式目标。

The SPOCA-suite: a software for extraction and tracking of Active Regions and Coronal Holes on EUV images

Precise localisation and characterization of active regions and coronal holes as observed by EUV imagers are crucial for a wide range of solar and helio-physics studies. We describe a segmentation procedure, the SPOCA-suite, that produces catalogs of Active Regions (AR) and Coronal Holes (CH) on SDO-AIA images. The method builds upon our previous work on 'Spatial Possibilistic Clustering Algorithm' (SPOCA) and substantially improve it in several ways. The SPOCA-suite is applied in near real time on AIA archive and produces entries into the AR and CH catalogs of the Heliophysics Event Knowledge…

Spectral cube extraction for the VLT/SPHERE IFS: Open-source pipeline with full forward modeling and improved sensitivity

We present a new open-source data-reduction pipeline to reconstruct spectral data cubes from raw SPHERE integral-field spectrograph (IFS) data. The pipeline is written in Python and based on the pipeline that was developed for the CHARIS IFS. It introduces several improvements to SPHERE data analysis that ultimately produce significant improvements in postprocessing sensitivity. We first used new data to measure SPHERE lenslet point spread functions (PSFs) at the four laser calibration wavelengths. These lenslet PSFs enabled us to forward-model SPHERE data, to extract spectra using a least-squ…