Radiative transfer modeling of protoplanetary disks

Project description

pdspy: A MCMC Tool for Continuum and Spectral Line Radiative Transfer Modeling

Welcome to the GitHub page for pdspy! This code is meant to fit Monte Carlo Radiative Transfer models for protostellar/protoplanetary disks to ALMA continuum and spectral line datasets using Markov Chain Monte Carlo fitting.

Further capabilities (e.g. fitting spectral line data with a radiative equilibrium calculation) are being developed. If you are interested in new features, do let me know and I would be happy to either add them myself, or to work with you to add them. The documentation is currently included below, but will be ported to a more extensive, better laid out format soon.

If you are interested in making use of the code, please check out the documentation.

For more extensive details on what the code does, please see these papers:

If you have any questions about using the code (or this documentation), requests for features, or suggestions for improvement, please don't hesitate to send me an e-mail.

Project details

Release history Release notifications | RSS feed

2.0.8

Jul 13, 2024

This version

2.0.7

Feb 16, 2024

2.0.6

Mar 9, 2023

2.0.2

Dec 18, 2021

2.0.0

Nov 8, 2021

1.5.7

Aug 13, 2022

1.5.3

May 18, 2022

1.5.2

Oct 20, 2021

1.5.1

Sep 8, 2021

1.5.0

Sep 25, 2020

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pdspy-2.0.7.tar.gz (10.5 MB view details)

Uploaded Feb 16, 2024 Source

Built Distributions

pdspy-2.0.7-pp37-pypy37_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (10.9 MB view details)

Uploaded Feb 16, 2024 PyPy manylinux: glibc 2.12+ x86-64 manylinux: glibc 2.5+ x86-64

pdspy-2.0.7-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl (10.9 MB view details)

Uploaded Feb 16, 2024 PyPy manylinux: glibc 2.12+ i686 manylinux: glibc 2.5+ i686

pdspy-2.0.7-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (10.8 MB view details)

Uploaded Feb 16, 2024 PyPy macOS 10.9+ x86-64

pdspy-2.0.7-cp310-cp310-musllinux_1_1_x86_64.whl (12.4 MB view details)

Uploaded Feb 16, 2024 CPython 3.10 musllinux: musl 1.1+ x86-64

pdspy-2.0.7-cp310-cp310-musllinux_1_1_i686.whl (12.3 MB view details)

Uploaded Feb 16, 2024 CPython 3.10 musllinux: musl 1.1+ i686

pdspy-2.0.7-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (12.3 MB view details)

Uploaded Feb 16, 2024 CPython 3.10 manylinux: glibc 2.12+ x86-64 manylinux: glibc 2.5+ x86-64

pdspy-2.0.7-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl (12.2 MB view details)

Uploaded Feb 16, 2024 CPython 3.10 manylinux: glibc 2.12+ i686 manylinux: glibc 2.5+ i686

pdspy-2.0.7-cp310-cp310-macosx_10_9_x86_64.whl (10.9 MB view details)

Uploaded Feb 16, 2024 CPython 3.10 macOS 10.9+ x86-64

pdspy-2.0.7-cp39-cp39-musllinux_1_1_x86_64.whl (12.4 MB view details)

Uploaded Feb 16, 2024 CPython 3.9 musllinux: musl 1.1+ x86-64

pdspy-2.0.7-cp39-cp39-musllinux_1_1_i686.whl (12.3 MB view details)

Uploaded Feb 16, 2024 CPython 3.9 musllinux: musl 1.1+ i686

pdspy-2.0.7-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (12.3 MB view details)

Uploaded Feb 16, 2024 CPython 3.9 manylinux: glibc 2.12+ x86-64 manylinux: glibc 2.5+ x86-64

pdspy-2.0.7-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl (12.2 MB view details)

Uploaded Feb 16, 2024 CPython 3.9 manylinux: glibc 2.12+ i686 manylinux: glibc 2.5+ i686

pdspy-2.0.7-cp39-cp39-macosx_10_9_x86_64.whl (10.9 MB view details)

Uploaded Feb 16, 2024 CPython 3.9 macOS 10.9+ x86-64

pdspy-2.0.7-cp38-cp38-musllinux_1_1_x86_64.whl (12.7 MB view details)

Uploaded Feb 16, 2024 CPython 3.8 musllinux: musl 1.1+ x86-64

pdspy-2.0.7-cp38-cp38-musllinux_1_1_i686.whl (12.5 MB view details)

Uploaded Feb 16, 2024 CPython 3.8 musllinux: musl 1.1+ i686

pdspy-2.0.7-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (12.5 MB view details)

Uploaded Feb 16, 2024 CPython 3.8 manylinux: glibc 2.12+ x86-64 manylinux: glibc 2.5+ x86-64

pdspy-2.0.7-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl (12.4 MB view details)

Uploaded Feb 16, 2024 CPython 3.8 manylinux: glibc 2.12+ i686 manylinux: glibc 2.5+ i686

pdspy-2.0.7-cp38-cp38-macosx_10_9_x86_64.whl (10.9 MB view details)

Uploaded Feb 16, 2024 CPython 3.8 macOS 10.9+ x86-64

pdspy-2.0.7-cp37-cp37m-musllinux_1_1_x86_64.whl (12.2 MB view details)

Uploaded Feb 16, 2024 CPython 3.7m musllinux: musl 1.1+ x86-64

pdspy-2.0.7-cp37-cp37m-musllinux_1_1_i686.whl (12.1 MB view details)

Uploaded Feb 16, 2024 CPython 3.7m musllinux: musl 1.1+ i686

pdspy-2.0.7-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (12.1 MB view details)

Uploaded Feb 16, 2024 CPython 3.7m manylinux: glibc 2.12+ x86-64 manylinux: glibc 2.5+ x86-64

pdspy-2.0.7-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl (12.0 MB view details)

Uploaded Feb 16, 2024 CPython 3.7m manylinux: glibc 2.12+ i686 manylinux: glibc 2.5+ i686

pdspy-2.0.7-cp37-cp37m-macosx_10_9_x86_64.whl (10.9 MB view details)

Uploaded Feb 16, 2024 CPython 3.7m macOS 10.9+ x86-64

pdspy-2.0.7-cp36-cp36m-musllinux_1_1_x86_64.whl (12.1 MB view details)

Uploaded Feb 16, 2024 CPython 3.6m musllinux: musl 1.1+ x86-64

pdspy-2.0.7-cp36-cp36m-musllinux_1_1_i686.whl (12.0 MB view details)

Uploaded Feb 16, 2024 CPython 3.6m musllinux: musl 1.1+ i686

pdspy-2.0.7-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (12.0 MB view details)

Uploaded Feb 16, 2024 CPython 3.6m manylinux: glibc 2.12+ x86-64 manylinux: glibc 2.5+ x86-64

pdspy-2.0.7-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl (12.0 MB view details)

Uploaded Feb 16, 2024 CPython 3.6m manylinux: glibc 2.12+ i686 manylinux: glibc 2.5+ i686

pdspy-2.0.7-cp36-cp36m-macosx_10_9_x86_64.whl (10.9 MB view details)

Uploaded Feb 16, 2024 CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file pdspy-2.0.7.tar.gz.

File metadata

Download URL: pdspy-2.0.7.tar.gz
Upload date: Feb 16, 2024
Size: 10.5 MB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.0.0 CPython/3.9.18

File hashes

Hashes for pdspy-2.0.7.tar.gz
Algorithm	Hash digest
SHA256	`7a437c982357068191726ed7ba0105b377b9522ec82e5cf448115ac48229d5e7`
MD5	`82096af69ce5f52bd743efbef5628540`
BLAKE2b-256	`86187c7d369f618b8112195b93a8ded763cc853b8b991b07949205dfb9195e41`

Algorithm	Hash digest
SHA256	`c1449974d26d1de7b9c1a413f792a1ae8f883cac6e990df02fac2ec3d56b517d`
MD5	`e3a9c51240dfd2d9467e6ba1fe4bf11c`
BLAKE2b-256	`a813d9b403625aa9f7fda029a635d62c447ca0ca30ae6eba2e3dc0e09d5523c6`

Algorithm	Hash digest
SHA256	`5062ad186906f9dd619cbb91a60129fd51a1bab94ff9ce934cb8472747d78032`
MD5	`1c6d90a5c3960caf3fe0b946297d4dc8`
BLAKE2b-256	`08d3ae8caa187f755a3fd6a68603fc77f1bcb0072de7ad9622ec0b1aecbcfbf7`

Algorithm	Hash digest
SHA256	`6fa13100d440826d85f1d5349d73bdda607cd6f89cc0c4ec157407275e06f1cd`
MD5	`30efdc793a170cec0fb6e68e1e30f400`
BLAKE2b-256	`4303f0a8631303f1a62d37c18fcbb904f5e014c6d1b37e3f24920984993de80d`

Algorithm	Hash digest
SHA256	`a27d465bccc98dcbc48027ba627cf7ed9f92edc6f6c542af8a6663f89dbe3fab`
MD5	`9b19c187eafee0ac06acf99d08770a8b`
BLAKE2b-256	`f2f3abe1346ec7801e0cfcd7d262a65cd4113ac430f87ea6cc766cb1396ae07d`

Algorithm	Hash digest
SHA256	`69fbcbe6a987894e60545742bfa2bf83d18def614403f4f198efb5f7e615f49f`
MD5	`dbf55e53da3fde9885088f12e26706f0`
BLAKE2b-256	`5acd57a49533ec8ab2f010191ce0ae99f2d5faf50b13b3c8949c78a31c773e0a`

Algorithm	Hash digest
SHA256	`cf1a08c8bdae3defddfa8535af010aca52428f3795c73dff2033dfb46156a9e7`
MD5	`0dcc318f04357ccc97e98cad05a54b64`
BLAKE2b-256	`948e8f42c1670aaf3df84c053bd65618e90c044a4d5c1d88be8956bc76026478`

Algorithm	Hash digest
SHA256	`eb4c8bf403be6c8c6900190cb787ceef05eb1b4615093e22266956882ecbdab5`
MD5	`e8ca565c96ad1ddd52a1597cb9393e60`
BLAKE2b-256	`800210309cec65ce2c41202cfc84eea21b5744d46cf04fa53cdf039fde8f7cf8`

Algorithm	Hash digest
SHA256	`8b93d60b467fd704c6bd1fdf641dd44b2475f08bdcff62bbe98e40a94293fdeb`
MD5	`dd8ec6b6f22456905f09b211da41f8f2`
BLAKE2b-256	`541d09cc12c1674461a8a5ab871d6f10df444115bec4b751f1e3006f66db129b`

Algorithm	Hash digest
SHA256	`f535d493147620cb17712dc9bb29f6efec900c2dfdc0698ce5d9893dc68dae3d`
MD5	`285a550a8a11304b3cf9ca603501daf5`
BLAKE2b-256	`2d195c77ce79c6c50bdbbdf6f2ab261543a7c4428f25e2785066274c17abdfc9`

Algorithm	Hash digest
SHA256	`067eabaca6c9d8f11d14b89e871371295c138aaa57b62194f3acec559f970341`
MD5	`3398600d73a0012be71f3399ef0bc31d`
BLAKE2b-256	`003d136c0a50dfeaeebcff681c165e6347c1864b0743705193b89d4a76cec5c7`

Algorithm	Hash digest
SHA256	`cecc1eb6c671e50b3d17d130c62dfbc35bd01f683dbc52c58e098762970314f0`
MD5	`2ab5ccdf3fcd0cc593669c5d59be5321`
BLAKE2b-256	`417c65c9de06e9ead9cefa20842081eaeb8c1cb7c938fad7d853398fee11b877`

Algorithm	Hash digest
SHA256	`8050c960556a8a5491dab6baa87541d1d4b963d54a44e3d5501394009b53dd41`
MD5	`aa4eb43efc978edee18a8ba8d8b081ba`
BLAKE2b-256	`a5a313226ab0dcbf5b6261dfa08080342f78fb71c182567fb34571e31f374710`

Algorithm	Hash digest
SHA256	`a81a340be645f18c7505684f1092e09ac320b0541bad0178ca51198b405cb3bd`
MD5	`5849769dc95df326f0049aae54c0323b`
BLAKE2b-256	`43eea89944ba3a51ec6f94516c23583afb9b78112eb7244aa92383096e76df5c`

Algorithm	Hash digest
SHA256	`3502327d0d122bfc5f6bfbfb092faf9ead80cb1000ec4d85c5a151a72f4b33b4`
MD5	`d0a03d60a4de34514cc07a9b80fb00f5`
BLAKE2b-256	`12509e58926e6526f9561cca4817a0381b4dd27a2927c9588f32ab21e2e32ee9`

Algorithm	Hash digest
SHA256	`9b3593b8c2a1849bab2756c43e52e9e3501f09741b6347d93b5f5436eebb8412`
MD5	`362deff7c206038e43b9591d6d8a4e07`
BLAKE2b-256	`00443a472edf33afe075d56e2b582105ed51b687ffac8f55d020c5bd7c4f231b`

Algorithm	Hash digest
SHA256	`22f77a245d24a4c49e154787e81cba59dad0d5354094d7f048b4f6b9098139ec`
MD5	`ca15a05363d7007e6095ee97e1cf1118`
BLAKE2b-256	`e47c1116a85fd23e73b89f2bf104393f130256d7febb0b0980e399ed72995f29`

Algorithm	Hash digest
SHA256	`851362919543303b7645d9402e487c5acdcabee56f760fbbc2e0eb753f6d1f22`
MD5	`c59a0fd82592aba65d20a3bead757b74`
BLAKE2b-256	`13b03bed816f861e9d8c591410bd4dd5a279b4c5301aca59ffe170e5fb2dfa9e`

Algorithm	Hash digest
SHA256	`904078ad7931643e5800b36326554180bd307994223e416ab498fce9775ccd61`
MD5	`f714f8464236846066b040645cca0d3f`
BLAKE2b-256	`bc18b562f95db138700fce5acd134843237b9b9377059ddc5912d1f578905179`

Algorithm	Hash digest
SHA256	`4e330ab14d7dd121a0745d5396c1498b6bf3115b0c1a4d0289c080833d8e7ff9`
MD5	`d9f38700d90f13764d47bd985abd9517`
BLAKE2b-256	`5acf33dfbdc56155b122a593f77a619fb2aa0f7f4c20493de8d9e556b74894f6`

Algorithm	Hash digest
SHA256	`24fc9bc49432734e814989b403205d736dcfac66a93944a216f5d3cdfb64d086`
MD5	`a5ee211a5ac5c5a50a8869d8db84e438`
BLAKE2b-256	`c22b485a32262646ab1cd911e970deecd04970150a103722ff04131e9a450b94`

pdspy 2.0.7

Navigation

Verified details

Maintainers

Unverified details

Project links

Meta

Project description

pdspy: A MCMC Tool for Continuum and Spectral Line Radiative Transfer Modeling

Project details

Verified details

Maintainers

Unverified details

Project links

Meta

Release history Release notifications | RSS feed

Download files

Source Distribution

Built Distributions

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

Algorithm	Hash digest
SHA256	`471cb03ebf146f9ef4cff98896aa3e5c580214456030598d15ee4c7d7430db00`
MD5	`64544dda002648aedd16df4024f1468a`
BLAKE2b-256	`a3ec5f977ad9046b5d0cbcb08c0f0cf465e40bc701fec6e1dd930861771aa430`

Algorithm	Hash digest
SHA256	`51177d32a4fefbb05dae34d8269e663f2df1fba583fbc51591aca54251ff38d1`
MD5	`d7eeae8b65d5423e370926fbb2962392`
BLAKE2b-256	`85b8968579b3ef98176668ce7704cbc3ef0ea37ed67670ed934c1614bbeb1711`

Algorithm	Hash digest
SHA256	`5300932795f7513cfeed1570c73341673bb4a32067e25d31d553816b0029882f`
MD5	`f08a68ad76c367d16905082971a3684f`
BLAKE2b-256	`4b4cf29d8c4974d33554e9753096769e3793879b04ee4f7fbc231206448a73d9`

Algorithm	Hash digest
SHA256	`06435fab127e2cf5cb758d523ee2191955d0f2156f3c6ae8705cbb848762dc9c`
MD5	`c511a7190b2813042872a55391de0ff0`
BLAKE2b-256	`cae9644b7589593d0567e6ae3a6e5447194b9a2484343420d90fb104b861326f`

Algorithm	Hash digest
SHA256	`a9a4eee83cac1b53863bcaec3b5aa8115b77564af3b3183de0435c977dd9a17c`
MD5	`22500e0a180615570d9274b1e6968da0`
BLAKE2b-256	`1e40813be719c736ee84475b9b2499bf2326b38e478502ec276b1c12848be441`

Algorithm	Hash digest
SHA256	`8e857c0229ba29839a3600aec8f58cecaeed83d10a25b86519ed57951e973449`
MD5	`9b414b3fd4a779bff112cef0701f0c54`
BLAKE2b-256	`e75c3398cc083a520fd14cc0bcb6a4570167dfff64696d02e6a4cf6760f3c89a`

Algorithm	Hash digest
SHA256	`9088e82574ac834d172d7ce9ec8c655ab18c8aac3b5a803e95c1984cad86e6c1`
MD5	`b6bd5eb7075402ef312430d88c100583`
BLAKE2b-256	`9714657c179ab2ba000f54f987793c8a55031d1bd6abb29fa07470b76192b07d`

Algorithm	Hash digest
SHA256	`e5a31fadd7459a35da0cc038897f52d70ac8a4e75195f9a37cf152ddcdc1b0a0`
MD5	`4134e647d0ed41e41cad918007525445`
BLAKE2b-256	`eb1b164d53d8a598142826bdec8246b5bcf905bc18fdaf8b57506c1f99520a20`