Initial commit

.gitignore

+# never store the git version file
+*.fff
+*.ttt
+*.fits
+*.h5
+*.mp4
+*.npy
+*.pickle
+git_version.py
+
+# custom
+*.txt
+setup.cfg
+.idea
+.DS_Store
+*.pyc
+*.html
+.document
+.svn/
+*.csv
+.pytest_cache/
+*.png
+*.h5
+*.pk
+*.mp4
+
+*.bbl
+*.blg
+*.pdf
+*_latexmk
+*.gif
+auto/
+*.gz
+*.bcf
+*.xml
+*.aux
+*.lof
+*.log
+*.lot
+*.fls
+*.out
+*.toc
+*.fmt
+*.fot
+*.cb
+*.cb2
+
+# from https://github.com/github/gitignore/blob/master/Python.gitignore
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.c
+*.o
+*.so
+
+# Distribution / packaging
+.Python
+env/
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*,cover
+.hypothesis/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/build/
+docs/source/mod
+
+# PyBuilder
+target/
+
+# IPython Notebook
+.ipynb_checkpoints
+
+# pyenv
+.python-version
+
+# celery beat schedule file
+celerybeat-schedule
+
+# dotenv
+.env
+
+# virtualenv
+venv/
+ENV/
+
+# Spyder project settings
+.spyderproject
+
+# Rope project settings
+.ropeproject

Dockerfile

+FROM python:3.6-buster
+
+ENV MPLBACKEND agg
+WORKDIR /eht

README.md

+# VLBI Resolve: VLBI Imaging with information field theory
+
+This repository belongs to the paper FIXME.
+
+# Installation
+
+Make sure that you have a python version >= 3.6. Then install the python packages scipy, matplotlib, nifty and nifty_gridder.
+
+```
+pip3 install --user "scipy>=1.4" matplotlib git+https://gitlab.mpcdf.mpg.de/ift/nifty@bb1069ae91a0bca50af3ec49d6c6c5957424e9ae git+https://gitlab.mpcdf.mpg.de/ift/nifty_gridder.git@f1540b9cca161e1aa32aa3cd09a592b3dac5f16b
+```
+
+With the following commands start a reconstruction of your favourite example.
+
+```
+python3 reconstruction.py blobs
+python3 reconstruction.py crescent
+python3 reconstruction.py disk
+```
+
+In order to run the tests you need pytest. Then run:
+```
+pytest-3 test.py
+```

config.py

+# This program is free software: you can redistribute it and/or modify
+# it under the terms of the GNU General Public License as published by
+# the Free Software Foundation, either version 3 of the License, or
+# (at your option) any later version.
+#
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+# GNU General Public License for more details.
+#
+# You should have received a copy of the GNU General Public License
+# along with this program.  If not, see <http://www.gnu.org/licenses/>.
+#
+# Copyright(C) 2019 Max-Planck-Society
+
+import os
+import nifty6 as ift
+import util as vres
+
+
+oversampling_factor = 2
+nthreads = int(os.getenv('OMP_NUM_THREADS', 1))
+ift.fft.set_nthreads(nthreads)
+eps = 1e-7
+
+npix = 128
+dt = 6  # hours
+
+fov = 256*vres.MUAS2RAD
+
+if dt is not None:
+    dt = int(dt)
+
+_fm, _fs, _flm, _fls = 1.5, 1., 0.3, 0.001
+_am, _as, _lm, _ls = 0.01, 0.001, -1.5, 0.5
+
+if npix is not None and dt is not None:
+    npix = int(npix)
+    doms = ift.RGSpace(2*(npix,), 2*(fov/npix,))
+    npixt = 7*24//dt
+    startt = 0
+
+    domt = ift.RGSpace(npixt, dt)
+    dom = ift.makeDomain((domt, doms))
+    print('Sky domain:')
+    print(dom)
+    domt_zeropadded = ift.RGSpace(int(oversampling_factor*npixt), dt)
+    cfm = ift.CorrelatedFieldMaker.make(0.2, 1e-1, '')
+    cfm.add_fluctuations(domt_zeropadded,
+                         fluctuations_mean=.2,
+                         fluctuations_stddev=1.,
+                         flexibility_mean=0.1,
+                         flexibility_stddev=0.001,
+                         asperity_mean=0.01,
+                         asperity_stddev=0.001,
+                         loglogavgslope_mean=-4,
+                         loglogavgslope_stddev=0.5,
+                         prefix='time')
+    cfm.add_fluctuations(doms,
+                         fluctuations_mean=cfm.moment_slice_to_average(_fm),
+                         fluctuations_stddev=_fs,
+                         flexibility_mean=_flm,
+                         flexibility_stddev=_fls,
+                         asperity_mean=_am,
+                         asperity_stddev=_as,
+                         loglogavgslope_mean=_lm,
+                         loglogavgslope_stddev=_ls,
+                         prefix='space')
+    logsky = cfm.finalize(prior_info=0)
+
+    FA_lo = ift.FieldAdapter(logsky.target, 'lo')
+    FA_hi = ift.FieldAdapter(logsky.target, 'hi')
+    xi_hi = ift.FieldAdapter(logsky.domain['xi'], 'xi_hi')
+    id_hi = ift.FieldAdapter(logsky.domain['xi'], 'xi').adjoint @ xi_hi
+    xi_lo = ift.FieldAdapter(logsky.domain['xi'], 'xi_lo')
+    id_lo = ift.FieldAdapter(logsky.domain['xi'], 'xi').adjoint @ xi_lo
+
+    expected_difference = 1e-2
+    logsky_1 = (FA_hi.adjoint @ logsky).partial_insert(id_hi)
+    logsky_2 = (FA_lo.adjoint
+                @ logsky).partial_insert(id_lo).scale(expected_difference)
+    logsky_lo = FA_lo.adjoint @ (FA_hi + FA_lo)
+    logsky_hi = FA_hi.adjoint @ (FA_hi - FA_lo)
+    logsky_mf = (logsky_hi + logsky_lo) @ (logsky_1 + logsky_2)
+
+    sky_movie_mf = vres.normalize(logsky_mf.target) @ logsky_mf.exp()
+    pspec_movie = cfm.normalized_amplitudes