TLDR: time lag/delay reconstructor
نویسندگان
چکیده
We present the Time Lag/Delay Reconstructor (TLDR), an algorithm for reconstructing velocity delay maps in Maximum A Posteriori framework reverberation mapping. Reverberation mapping is a tomographical method studying kinematics and geometry of broad-line region active galactic nuclei at high spatial resolution. Leveraging modern image reconstruction techniques, including Total Variation Compressed Sensing, TLDR applies multiple regularization schemes to re-construct using Alternating Direction Method Multipliers. Along with detailed description we test reconstructions from applied synthetic spectra as well preliminary H\b{eta}feature Arp 151 2008 Lick Active Galactic Nuclei Monitoring Project.
منابع مشابه
Interactive Software Visualization within the RECONSTRUCTOR Project (RECONSTRUCTOR: Reconstructing Software Architectures for System Evaluation Purposes)
A software architecture is an abstraction of a software system, which is indispensable for many software engineering tasks. Unfortunately, in many cases architectural information is not available, outdated, or inappropriate for the task at hand. Software architecture reconstruction concerns obtaining architectural information from an existing system. Currently, this process is unstructured, req...
متن کاملAdaptive optics implementation with a Fourier reconstructor.
Adaptive optics takes its servo feedback error cue from a wavefront sensor. The common Hartmann-Shack spot grid that represents the wavefront slopes is usually analyzed by finding the spot centroids. In a novel application, we used the Fourier decomposition of a spot pattern to find deviations from grid regularity. This decomposition was performed either in the Fourier domain or in the image do...
متن کاملTHOR: targeted high-throughput ortholog reconstructor
Low-coverage genomes (LCGs) are becoming an increasingly important source of data for phylogenetic studies. However, assembly of these genomes is time consuming, difficult and lags behind sequence generation. THOR is a fast, stringent application for targeted reconstruction of sequence orthologs in unassembled LCGs. Using a 4x coverage set of mouse whole-genome sequence reads, THOR could partia...
متن کاملEnglish-Japanese Neural Machine Translation with Encoder-Decoder-Reconstructor
Neural machine translation (NMT) has recently become popular in the field of machine translation. However, NMT suffers from the problem of repeating or missing words in the translation. To address this problem, Tu et al. (2017) proposed an encoder-decoder-reconstructor framework for NMT using back-translation. In this method, they selected the best forward translation model in the same manner a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Monthly Notices of the Royal Astronomical Society
سال: 2021
ISSN: ['0035-8711', '1365-8711', '1365-2966']
DOI: https://doi.org/10.1093/mnras/stab1394