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The bibliography

GAN: fast generator

  • ArXiv:1905.11825 Fast Data-Driven Simulation of Cherenkov DetectorsUsing Generative Adversarial Networks, A Maevskiy, D Derkach, N Kazeev, A Ustyuzhanin,M Artemev and L Anderlini on behalf of the LHCb collaboration.
  • ArXiv:1909.12160. Galaxy Image Simulation Using Progressive GANs. Mohamad Dia, Elodie Savary, Martin Melchior, and Frederic Courbin

ANN and noise reduction

See also: ArXiv: CNN and Noise in last year


  • ArXiv:2001.03602. Investigating a Deep Learning Method to AnalyzeImages from Multiple Gamma-ray Telescopes. Aryeh Brill, at al.
  • Arxiv:1912.09898. Studying deep convolutional neural networks with hexagonal lattices for imaging atmospheric Cherenkov telescope event reconstruction. D. Nieto, A. Brill, Q. Feng, M. Jacquemont, B. Kim, T. Miener, T. Vuillaume
  • ArXiv:1803.10698 Application of Deep Learning methods to analysis of ImagingAtmospheric Cherenkov Telescopes data. I. Shilona, et. al.
  • Arxiv:1907.02428 Lyard E, Walter R, Sliusar V and Produit N, for the CTAConsortium, Probing Neural Networks for the Gamma/HadronSeparation of the Cherenkov Telescope Array

Machine learning

Noise reduction


Методы машинного обучения


  • Intel nGraph: An open source library for developing frameworks that can efficiently run deep learning computations on a variety of compute platforms

Форматы данных

Инструменты описания бинарных форматов данных

Kaitai Struct

Kaitai Struct

Kaitai Struct is a declarative language used for describe various binary data structures, laid out in files or in memory: i.e. binary file formats, network stream packet formats, etc.

The main idea is that a particular format is described in Kaitai Struct language (.ksy file) and then can be compiled with ksc into source files in one of the supported programming languages. These modules will include a generated code for a parser that can read described data structure from a file / stream and give access to it in a nice, easy-to-comprehend API.

Обратная разработка бинарных форматов с помощью Kaitai Struct


Data Format Description Language (DFDL)

Data Format Description Language (DFDL) is a language for describing text and binary data formats. A DFDL description allows any text or binary data to be read from its native format and to be presented as an instance of an information set. DFDL also allows data to be taken from an instance of an information set and written out to its native format. DFDL achieves this by leveraging W3C XML Schema Definition Language (XSDL) 1.0. It is therefore very easy to use DFDL to convert text and binary data to a corresponding XML document.


Методы агрегации

Критерии функционирования системы

Best Practices in Research Data Curation


Digital Curation Centre (DCC)

The Digital Curation Centre (DCC) is an internationally-recognised centre of expertise in digital curation with a focus on building capability and skills for research data management. The DCC provides expert advice and practical help to research organisations wanting to store, manage, protect and share digital research data.

The DataONE Best Practices database

The DataONE Best Practices database provides individuals with recommendations on how to effectively work with their data through all stages of the data lifecycle.


Гамма астрономия



BigchainDB is for developers and organizations looking for a scalable, queryable database with blockchain characteristics such as decentralization, immutability and the ability to treat anything stored in the database as an asset.


grants/archive/appds/bibliograthy.txt · Last modified: 29/12/2022 20:48 by