Sergey Anfinogentov

Sergey Anfinogentov

@Sergey-Anfinogentov
15
Followers
10
Following
12
Public Repos
0
Private Repos

Language Breakdown

Lines of code distribution across 8 owned repositories

690K Total LOC
Jupyter Notebook
347,654 lines
50.4%
N/A
IDL
295,364 lines
42.8%
N/A
Python
33,525 lines
4.9%
N/A
Prolog
13,734 lines
2.0%
N/A
T

T-Shaped Developer

T-shaped

Deep in Jupyter Notebook with broad versatility

Jupyter Notebook
IDL
Python
Prolog

Collaboration Network

Global Impact visualization

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Sergey Anfinogentov
0 active collaborators

Repos

12

PRs

0

Growth

+18%

Top Collaborators

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Coding Streak

Contribution activity over the past year

1 day
1
Contributions
1
Commits
0
Pull Requests
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Top Repositories

motion_magnification
28 5
Python
SoBAT

Solar Bayesian Analysis Toolkit

6 1
IDL
seismo-corona

A GUI tool for MHD-seismology of solar active regions using kink oscillation

4 0
IDL
EMD_conf

A code for estimating confidence intervals for EMD

4 1
IDL
GXBox_prep

A set of programs for preparing GX-Simulator compatible magnetic field data cubes

2 0
IDL
SFQ

Super fast and quality (SFQ) code for disambiguation of solar vector magnetograms

1 1
IDL
FoMo

FoMo: Forward modelling of coronal plasma

1 0
C++
gx_benchmark

This is an utility set to benchmark synthetic mapd produced with GX_SIMULATOR by comparing them with observations.

0 0
IDL
GX_SIMULATOR

GX_Simulator is an interactive IDL widget application intended to provide a flexible tool that allows the user to generate spatially resolved radio and/or X-ray spectra. The object-based architecture of this application provides full interaction with local 3D magnetic field extrapolation models that may be embedded in a global coronal model. By the use of various mouse tools provided, the user is allowed to explore the magnetic connectivity of the model by generating magnetic field lines originating in user-specified volume voxels. Such lines may be selected to create magnetic flux tubes, which are further populated with user-defined analytical thermal/non thermal particle distribution models. By default, the application integrates IDL callable DLL and Shared libraries containing fast GS emission codes developed in FORTRAN and C++ based on the newly developed Fleishman–Kuznetsov approximation, and IDL X-ray codes developed by Eduard Kontar. However, the interactive interface allows interchanging these default libraries with any user-defined IDL or external callable codes designed to solve the radiation transfer equation in the same or other wavelength ranges of interest.

0 0
C++
bayes_tutorial

Bayesian analysis tutorial

0 0
Jupyter Notebook

Open Source Impact

Contributions to external projects

2 merged PRs

No external contributions found.