| Name | maria JSON |
| Version |
1.1.3
JSON |
| download |
| home_page | None |
| Summary | A simulator for ground-based millimeter- and submillimeter-wave telescopes. |
| upload_time | 2024-10-30 15:06:55 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | BSD 3-Clause License Copyright (c) 2024 Thomas W. Morris All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
| keywords |
astronomy
atmosphere
cosmology
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
|
maria
=====
.. image:: https://github.com/thomaswmorris/maria/actions/workflows/testing.yml/badge.svg
:target: https://github.com/thomaswmorris/maria/actions/workflows/testing.yml
.. image:: https://img.shields.io/pypi/v/maria.svg
:target: https://pypi.python.org/pypi/maria
.. image:: ./docs/source/_static/cloud.gif
:width: 256px
:alt: StreamPlayer
*maria blows the stars around / and sends the clouds a-flyin’*
``maria`` is a complete simulator of ground-based millimeter- and submillimeter-wave telescopes. Tutorials for installation and usage can be found in the `documentation <https://www.thomaswmorris.com/maria>`_.
Background
----------
Atmospheric modeling is an important step in both experiment design and
subsequent data analysis for ground-based cosmological telescopes
observing the cosmic microwave background (CMB). The next generation of
ground-based CMB experiments will be marked by a huge increase in data
acquisition: telescopes like `AtLAST <https://www.atlast.uio.no>`_ and
`CMB-S4 <https://cmb-s4.org>`_ will consist of hundreds of thousands of
superconducting polarization-sensitive bolometers sampling the sky. This
necessitates new methods of efficiently modeling and simulating
atmospheric emission at small angular resolutions, with algorithms than
can keep up with the high throughput of modern telescopes.
maria simulates layers of turbulent atmospheric emission according to a
statistical model derived from observations of the atmosphere in the
Atacama Desert, from the `Atacama Cosmology Telescope
(ACT) <https://lambda.gsfc.nasa.gov/product/act/>`_ and the `Atacama
B-Mode Search (ABS) <https://lambda.gsfc.nasa.gov/product/abs/>`_. It
uses a sparse-precision auto-regressive Gaussian process algorithm that
allows for both fast simulation of high-resolution atmosphere, as well
as the ability to simulate arbitrarily long periods of atmospheric
evolution.
Methodology
-----------
``maria`` auto-regressively simulates an multi-layeed two-dimensional
“integrated” atmospheric model that is much cheaper to compute than a
three-dimensional model, which can effectively describe time-evolving
atmospheric emission. maria can thus effectively simulate correlated
atmospheric emission for in excess of 100,000 detectors observing the
sky concurrently, at resolutions as fine as one arcminute. The
atmospheric model used is detailed
`here <https://arxiv.org/abs/2111.01319>`_.
Raw data
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"description": "maria\n=====\n\n.. image:: https://github.com/thomaswmorris/maria/actions/workflows/testing.yml/badge.svg\n :target: https://github.com/thomaswmorris/maria/actions/workflows/testing.yml\n\n.. image:: https://img.shields.io/pypi/v/maria.svg\n :target: https://pypi.python.org/pypi/maria\n\n.. image:: ./docs/source/_static/cloud.gif\n :width: 256px\n :alt: StreamPlayer\n\n*maria blows the stars around / and sends the clouds a-flyin\u2019*\n\n``maria`` is a complete simulator of ground-based millimeter- and submillimeter-wave telescopes. Tutorials for installation and usage can be found in the `documentation <https://www.thomaswmorris.com/maria>`_.\n\nBackground\n----------\n\nAtmospheric modeling is an important step in both experiment design and\nsubsequent data analysis for ground-based cosmological telescopes\nobserving the cosmic microwave background (CMB). The next generation of\nground-based CMB experiments will be marked by a huge increase in data\nacquisition: telescopes like `AtLAST <https://www.atlast.uio.no>`_ and\n`CMB-S4 <https://cmb-s4.org>`_ will consist of hundreds of thousands of\nsuperconducting polarization-sensitive bolometers sampling the sky. This\nnecessitates new methods of efficiently modeling and simulating\natmospheric emission at small angular resolutions, with algorithms than\ncan keep up with the high throughput of modern telescopes.\n\nmaria simulates layers of turbulent atmospheric emission according to a\nstatistical model derived from observations of the atmosphere in the\nAtacama Desert, from the `Atacama Cosmology Telescope\n(ACT) <https://lambda.gsfc.nasa.gov/product/act/>`_ and the `Atacama\nB-Mode Search (ABS) <https://lambda.gsfc.nasa.gov/product/abs/>`_. It\nuses a sparse-precision auto-regressive Gaussian process algorithm that\nallows for both fast simulation of high-resolution atmosphere, as well\nas the ability to simulate arbitrarily long periods of atmospheric\nevolution.\n\nMethodology\n-----------\n\n``maria`` auto-regressively simulates an multi-layeed two-dimensional\n\u201cintegrated\u201d atmospheric model that is much cheaper to compute than a\nthree-dimensional model, which can effectively describe time-evolving\natmospheric emission. maria can thus effectively simulate correlated\natmospheric emission for in excess of 100,000 detectors observing the\nsky concurrently, at resolutions as fine as one arcminute. The\natmospheric model used is detailed\n`here <https://arxiv.org/abs/2111.01319>`_.\n",
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