From kellecruz at gmail.com  Mon Aug  7 17:07:26 2017
From: kellecruz at gmail.com (Kelle Cruz)
Date: Mon, 7 Aug 2017 17:07:26 -0400
Subject: [AstroPy] Sticking with this mailing list
Message-ID: <CAApiRV6NPxbd0ai2EdD2pa33ZMFUkWrcofYV_X-eWDZF0jQf3w@mail.gmail.com>

Hey All,

*Bottom line: *Due to the difficulty in making sure everyone gets migrated
to a new Google group, we?ve decided to just stick with this list. No
action is required. The list address remains astropy at python.org

*Background and Extra Info:* NumFocus migrated this mailman list to a new
server and gave it a new address: astropy at python.org. Coincidentally, at
the same time, the Astropy Coordination Committee started a process to
migrate the list to Google Groups. We paused the migration to Google Groups
to re-evaluate but then decided to move forward due to the increased
searchability of Google Groups. However, right now, only 10 invites to a
google group can be sent at a time and each batch requires a time intensive
series of CAPTCHA hoops. (There are only so many images which contain road
signs I can identify in a day!) In the end, we decided that keeping
subscribers is more important than searchability. We also anticipate in the
not-too-distant future that either NumFocus will solve this problem with a
better listserve or a less clunky feature will appear for migrating large
lists to Google groups.

Sorry for the noise and thanks so much for your patience and understanding.

Thanks,
Kelle (on behalf of the Astropy Coordination Committee)

-- 
Kelle Cruz, PhD ? http://kellecruz.com/
917.725.1334 ? Hunter: x16486 ? AMNH: x7930
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From rowen at uw.edu  Mon Aug  7 17:11:40 2017
From: rowen at uw.edu (Russell Owen)
Date: Mon, 7 Aug 2017 14:11:40 -0700
Subject: [AstroPy] Sticking with this mailing list
In-Reply-To: <CAApiRV6NPxbd0ai2EdD2pa33ZMFUkWrcofYV_X-eWDZF0jQf3w@mail.gmail.com>
References: <CAApiRV6NPxbd0ai2EdD2pa33ZMFUkWrcofYV_X-eWDZF0jQf3w@mail.gmail.com>
Message-ID: <9FAB40FE-D8A2-41F7-B523-E2E0D36A622F@uw.edu>

I believe you can subscribe users (instead of just inviting them) but I agree it?s riskier and not something I?d want to do with a huge mailing list.

Regards,

? Russell

> On Aug 7, 2017, at 2:07 PM, Kelle Cruz <kellecruz at gmail.com> wrote:
> 
> Hey All,
> 
> Bottom line: Due to the difficulty in making sure everyone gets migrated to a new Google group, we?ve decided to just stick with this list. No action is required. The list address remains astropy at python.org <mailto:astropy at python.org>
> 
> Background and Extra Info: NumFocus migrated this mailman list to a new server and gave it a new address: astropy at python.org <mailto:astropy at python.org>. Coincidentally, at the same time, the Astropy Coordination Committee started a process to migrate the list to Google Groups. We paused the migration to Google Groups to re-evaluate but then decided to move forward due to the increased searchability of Google Groups. However, right now, only 10 invites to a google group can be sent at a time and each batch requires a time intensive series of CAPTCHA hoops. (There are only so many images which contain road signs I can identify in a day!) In the end, we decided that keeping subscribers is more important than searchability. We also anticipate in the not-too-distant future that either NumFocus will solve this problem with a better listserve or a less clunky feature will appear for migrating large lists to Google groups.
> 
> Sorry for the noise and thanks so much for your patience and understanding.
> 
> Thanks,
> Kelle (on behalf of the Astropy Coordination Committee)
> 
> -- 
> Kelle Cruz, PhD ? http://kellecruz.com/ <http://kellecruz.com/>
> 917.725.1334 ? Hunter: x16486 ? AMNH: x7930
> _______________________________________________
> AstroPy mailing list
> AstroPy at python.org
> https://mail.python.org/mailman/listinfo/astropy

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From pweilbacher at aip.de  Tue Aug  8 03:45:08 2017
From: pweilbacher at aip.de (Peter Weilbacher)
Date: Tue, 8 Aug 2017 09:45:08 +0200 (CEST)
Subject: [AstroPy] Sticking with this mailing list
In-Reply-To: <CAApiRV6NPxbd0ai2EdD2pa33ZMFUkWrcofYV_X-eWDZF0jQf3w@mail.gmail.com>
References: <CAApiRV6NPxbd0ai2EdD2pa33ZMFUkWrcofYV_X-eWDZF0jQf3w@mail.gmail.com>
Message-ID: <alpine.LSU.2.20.1708080940030.14162@durham.aip.de>

On Mon, 7 Aug 2017, Kelle Cruz wrote:

> *Bottom line: *Due to the difficulty in making sure everyone gets migrated
> to a new Google group, we?ve decided to just stick with this list. No
> action is required. The list address remains astropy at python.org

That's a relief. Thanks for letting us know, Kelle.

> but then decided to move forward due to the increased searchability of
> Google Groups.

I didn't understand this anyway. You can search this list very well, by
using "<term> astropy site:mail.python.org" on Google (and most
alternative engines).

Sorry for adding to the noise...
   Peter.
-- 
Dr. Peter M. Weilbacher             http://www.aip.de/People/PWeilbacher
Phone +49 331 74 99-667                       encryption key ID 7D6B4AA0
------------------------------------------------------------------------
Leibniz-Institut f?r Astrophysik Potsdam (AIP)
An der Sternwarte 16, D-14482 Potsdam

Vorstand: Prof. Dr. Matthias Steinmetz, Matthias Winker
Stiftung b?rgerlichen Rechts, Stiftungsverz. Brandenburg: 26 742-00/7026

From juanlu001 at gmail.com  Fri Aug 11 03:46:15 2017
From: juanlu001 at gmail.com (Juan Luis Cano)
Date: Fri, 11 Aug 2017 09:46:15 +0200
Subject: [AstroPy] Sticking with this mailing list
Message-ID: <CAFmivUVJZRokOr9Agam4JAw6Xf=PNa4omz0M9dqExCbNwmayhw@mail.gmail.com>

Hi! Have you (or NumFOCUS) considered alternatives like https://groups.io/
? We are using them for poliastro and it's serving us very well. They are
also very helpful with the technical details and quite open, so perhaps
they would help in migrating a Mailman mailing list. My two cents.

Regards,

-- 
Juan Luis Cano
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From contact at nicholasearl.me  Tue Aug 15 16:21:01 2017
From: contact at nicholasearl.me (Nicholas Earl)
Date: Tue, 15 Aug 2017 16:21:01 -0400
Subject: [AstroPy] Announcing SpecViz 0.4.0 Release
Message-ID: <A1A02D30-D119-4BB9-955E-1DE4155E3432@nicholasearl.me>

SpecViz 0.4.0 Release
 
The James Webb Data Analysis Development Forum (JDADF) is happy to announce the release of SpecViz version 0.4.0. SpecViz is a one-dimensional astronomical spectral visualization and analysis suite. It?s being actively developed by Space Telescope Science Institute as companion software for James Webb Space Telescope data, but is designed generically to support all types of astronomical spectral data.
 
Its features include
Custom file loading
Fast, interactive visualization
Plotting tools: use quick tools to manipulate your spectral plot display
Live data statistics: get information about particular regions of your data
Measurement tools
Spectral slicing: isolate spectral features on their own layers for specific analysis
Interactive model fitting: built-in models and fitting routines allow for quick and easy analysis
Model export and import: save complex models for future analyses, or to share with others
Model Arithmetic: specify advanced arithmetic operations for models
Layer arithmetic: high-level data manipulation through spectral arithmetic
Extensible plugin infrastructure
And more!
We are still in the early days of fleshing out documentation and creating helpful tutorial material, but we are aiming to provide a usable interactive interface to astronomical data that can easily integrate with workflows.
 
We would love it if anyone who is interested in using this software for their own data analysis please let us know your experience, your comments, and of course your desire for particular features.
 
Thank you Astropy community!
 
Documentation: http://specviz.readthedocs.io <http://specviz.readthedocs.io/>
GitHub: https://github.com/spacetelescope/specviz <https://github.com/spacetelescope/specviz>
Mailing list: specviz at googlegroups.com <mailto:specviz at googlegroups.com>
 
Video Demo: https://stsci.box.com/s/6ynrfshzrix3yaxvd3c8bcs4hzltpadz <https://stsci.box.com/s/6ynrfshzrix3yaxvd3c8bcs4hzltpadz>
Old Video Demo: https://stsci.box.com/s/2ol6gcx0hg5jefowqcqe33iaz6fq1129 <https://stsci.box.com/s/2ol6gcx0hg5jefowqcqe33iaz6fq1129>
 
--
Nicholas Earl
Senior Research & Instrument Analyst
Space Telescope Science Institute
Office: (410) 338-4447
http://nicholasearl <http://nicholasearl/>.me
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From stuart at cadair.com  Fri Aug 18 06:59:05 2017
From: stuart at cadair.com (Stuart Mumford)
Date: Fri, 18 Aug 2017 11:59:05 +0100
Subject: [AstroPy] SunPy 0.8 Release
Message-ID: <5582642e-34c5-b6bc-658f-626520e23025@cadair.com>

The SunPy project is happy to announce the release of SunPy 0.8 
?Expected Eclipse?.


SunPy 0.8 is the next major release of SunPy and contains 1442 commits 
in over 200 pull requests, closing 163 issues from 35 people, 17 of whom 
have never contributed before.


This release is a large milestone for the SunPy library. It contains 
large new features that have been in development for a number of years, 
and will form the foundation of SunPy for the future. The main additions 
are 'sunpy.net.Fido' and 'sunpy.timeseries', as well as major upgrades 
to 'sunpy.coordinates'. Along with this it deprecates some old parts of 
SunPy that have been rewritten, two submodules 'sunpy.lightcurve' and 
'sunpy.wcs' have been superseded by 'sunpy.timeseries' and 
'sunpy.coordinates' respectively. For a tour of the new functionality in 
this release see the ?What?s new in 0.8? page: 
http://docs.sunpy.org/en/stable/whatsnew/0.8.html


<http://docs.sunpy.org/en/stable/whatsnew/0.8.html>

SunPy 0.8 can be installed either through conda or pip on Python 2.7, 
3.5 and 3.6. For the first time with this release we have built binary 
wheels, which mean SunPy can be installed from PyPI without the need for 
a compiler.

To upgrade SunPy using conda run:

$ conda upgrade sunpy

Using pip run:

$ pip install --upgrade sunpy

The complete installation instructions can be found here: 
http://docs.sunpy.org/en/stable/guide/installation/ (at the time of 
writing this email the windows conda packages are still being built).


In addition to people who have contributed to the code I would like to 
highlight the work of Nabil Freij who has done a lot of work in the last 
few months releasing bug fixes for the 0.7 series, and this 0.8 release, 
as well as a lot of behind the scenes work on SunPy's tooling. I would 
also like to thank Duygu Ke?kek who has redesigned the sunpy.org 
<http://sunpy.org/>page and the documentation as part of her GSOC 
project. Finally, I would like to welcome Monica Bobra and Sabrina 
Savage to the SunPy Board.



The people who have contributed to the code for this release are:


Stuart Mumford

Jack Ireland

Nabil Freij

Punyaslok Pattnaik

Alex Hamilton

Ankit Kumar *

David P?rez-Su?rez

Steven Christe

Rishabh Sharma

Albert Y. Shih

Sudarshan Konge

Daniel Ryan

Ankit Baruah *

Brigitta Sipocz

Prateek Chanda *

Andrew Leonard

Sanskar Modi

Nitin Choudhary *

Agneet Chatterjee *

Michael Charlton *

Rajul Srivastava

Dhruv Goel *

Garrison Taylor *

Serge Zahniy *

Andrew Inglis

Ankit

Joe Letts *

Shane Maloney *

Adrian Price-Whelan *

Dan D'Avella *

Duygu Ke?kek *

Fionnlagh Mackenzie Dover *

Kalpesh Krishna *

Kaustubh Hiware *

Larry Manley


Where an * indicates their first contribution.



Stuart Mumford,

On behalf of the SunPy Project

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From arvind.b at students.iiserpune.ac.in  Wed Aug 23 00:16:42 2017
From: arvind.b at students.iiserpune.ac.in (Arvind B)
Date: Wed, 23 Aug 2017 09:46:42 +0530
Subject: [AstroPy] Python method to get the coordinates of the centers of
 trixels in HTMID
Message-ID: <CAPdvgan1w6XrNSYd67Qw4U8fNUsmmyjabwPa54dFhOSctXyVmw@mail.gmail.com>

Hello,

I am working on a problem to pixelate a sphere. So, I was wondering if
there is any python method to get the coordinates of the centers of the
trixels (spherical triangle pixel) in HTMID? I have tried the htm packages
in esutil and HMpTy, but I am not able to find the right method that I
require. A major advantage of using HTMID is that a coarser grid will be a
subset of a finer grid and so we will already have 1/4th of the points.
Please reply as soon as possible. Thanks!

Regards

Arvind Balasubramanian
5th Year BS-MS Student
IISER Pune
India
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From Christoph.Deil at mpi-hd.mpg.de  Thu Aug 24 07:03:17 2017
From: Christoph.Deil at mpi-hd.mpg.de (Christoph Deil)
Date: Thu, 24 Aug 2017 13:03:17 +0200
Subject: [AstroPy] Python method to get the coordinates of the centers
 of trixels in HTMID
In-Reply-To: <CAPdvgan1w6XrNSYd67Qw4U8fNUsmmyjabwPa54dFhOSctXyVmw@mail.gmail.com>
References: <CAPdvgan1w6XrNSYd67Qw4U8fNUsmmyjabwPa54dFhOSctXyVmw@mail.gmail.com>
Message-ID: <082C33D1-D1B1-4539-89F0-1BE537CEB300@mpi-hd.mpg.de>


> On 23. Aug 2017, at 06:16, Arvind B <arvind.b at students.iiserpune.ac.in> wrote:
> 
> Hello,
> 
> I am working on a problem to pixelate a sphere. So, I was wondering if there is any python method to get the coordinates of the centers of the trixels (spherical triangle pixel) in HTMID? I have tried the htm packages in esutil and HMpTy, but I am not able to find the right method that I require. A major advantage of using HTMID is that a coarser grid will be a subset of a finer grid and so we will already have 1/4th of the points.
> Please reply as soon as possible. Thanks!
> 
> Regards
> 
> Arvind Balasubramanian
> 5th Year BS-MS Student 
> IISER Pune
> India
> _______________________________________________
> AstroPy mailing list
> AstroPy at python.org
> https://mail.python.org/mailman/listinfo/astropy

Hi Arvind,

I don?t know anything about HTMID.

But since you didn?t get an answer here yet, and just in case you?re not aware: it sounds like https://en.wikipedia.org/wiki/HEALPix <https://en.wikipedia.org/wiki/HEALPix> could also be a solution to your task, and if so, the Python function you?re looking for it this one: http://healpy.readthedocs.io/en/latest/generated/healpy.pixelfunc.pix2ang.html <http://healpy.readthedocs.io/en/latest/generated/healpy.pixelfunc.pix2ang.html>

Christoph
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From varunb at iitb.ac.in  Fri Aug 25 13:58:41 2017
From: varunb at iitb.ac.in (Varun Bhalerao)
Date: Fri, 25 Aug 2017 23:28:41 +0530
Subject: [AstroPy] Python method to get the coordinates of the centers
 of trixels in HTMID
In-Reply-To: <mailman.51.1503590404.7624.astropy@python.org>
References: <mailman.51.1503590404.7624.astropy@python.org>
Message-ID: <4E2B2ACD-8947-4D93-8C04-9DDCAAD3D7A1@iitb.ac.in>

Thanks Christoph!

I'm working with Arvind on this project. We were looking for HTMIDs because of one good property: when you increase the resolution, the old pixel centres remain the centres of new pixels as well (somewhat like the triangle fractal "serpenski's gasket"). So if you are evaluating something over the entire sky, you can use low-resolution results as as part of your high resolution grid.

Regards,
-- Varun
____________________
-  Varun Bhalerao  -
Office: 204, Physics Dept,
IIT Bombay
Ph: +91 22 2576 9379


This email is encrypted and signed with OpenPGP.

> On 24-Aug-2017, at 9:30 pm, astropy-request at python.org wrote:
> 
>> 
>> On 23. Aug 2017, at 06:16, Arvind B <arvind.b at students.iiserpune.ac.in> wrote:
>> 
>> Hello,
>> 
>> I am working on a problem to pixelate a sphere. So, I was wondering if there is any python method to get the coordinates of the centers of the trixels (spherical triangle pixel) in HTMID? I have tried the htm packages in esutil and HMpTy, but I am not able to find the right method that I require. A major advantage of using HTMID is that a coarser grid will be a subset of a finer grid and so we will already have 1/4th of the points.
>> Please reply as soon as possible. Thanks!
>> 
>> Regards
>> 
>> Arvind Balasubramanian
>> 5th Year BS-MS Student 
>> IISER Pune
>> India
>> _______________________________________________
>> AstroPy mailing list
>> AstroPy at python.org
>> https://mail.python.org/mailman/listinfo/astropy
> 
> Hi Arvind,
> 
> I don?t know anything about HTMID.
> 
> But since you didn?t get an answer here yet, and just in case you?re not aware: it sounds like https://en.wikipedia.org/wiki/HEALPix <https://en.wikipedia.org/wiki/HEALPix> could also be a solution to your task, and if so, the Python function you?re looking for it this one: http://healpy.readthedocs.io/en/latest/generated/healpy.pixelfunc.pix2ang.html<http://healpy.readthedocs.io/en/latest/generated/healpy.pixelfunc.pix2ang.html>
> 
> Christoph
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From thomas.robitaille at gmail.com  Sat Aug 26 05:29:44 2017
From: thomas.robitaille at gmail.com (Thomas Robitaille)
Date: Sat, 26 Aug 2017 10:29:44 +0100
Subject: [AstroPy] ANN: glue v0.11 released
Message-ID: <CAGMHX_3BHfdGx7ZhBkt2hWE=F+H-sivg+W+peNh2nYawax6a6A@mail.gmail.com>

Hi everyone,

We are happy to announce the release of *glue v0.11*! For anyone not
familiar with this package, glue is a Python library and application for
multidimensional linked data exploration, which you can read up more about
at http://glueviz.org

*Changes in this release*

An overview of the main changes in this release is available here:

  http://glueviz.org/en/stable/whatsnew/0.11.html

The most significant changes are as follows:

   - The overall interface has been improved, with a new toolbar at the top
   of the window and other esthetic improvements to help make glue more
   easily usable on small displays
   - The built-in viewers - the 1D histogram, 2D scatter, and 2D image
   viewers - have been re-written from scratch and include new features, such
   as the ability to color-code or change the size of scatter points according
   to attributes (as was possible in the 3D scatter viewer previously), the
   ability to show error bars, and (in the case of the image viewer) a more
   generalized way of combining different layers into multi-color images.
   - A new mechanism has been added for registering custom subset mask
   importers and exporters

In addition, this release includes many bug fixes and improvements in
usability, as well as significant improvements to the code under-the-hood
to make the code more accessible and easier to modify in future.

*New plugins*

In parallel with this release of glue we have also released two new plugins:

   - An astronomy plugin providing a WorldWide Telescope viewer (more info
   here
   <http://glueviz.org/en/stable/whatsnew/0.11.html#experimental-worldwide-telescope-plugin>
   )
   - A new plugin for geospatial data (more info here
   <http://glueviz.org/en/stable/whatsnew/0.11.html#experimental-geospatial-plugin>
   )

If you would be interested in helping develop these plugins, we would love
to hear from you!

*Installing/updating g**lue*

We recommend installing glue using the Anaconda Python Distribution
<http://continuum.io/downloads>. To get the latest version of glue (v0.11),
you will need to make sure you use the glueviz conda channel. If you are
using the conda command, this means that you need to do:

  conda install -c glueviz glueviz

*Note that this has changed from previous versions, for which glue was
installed from the conda-forge channel.*

If you use the Anaconda launcher or navigator to install glue graphically,
take a look at the instructions on our website
<http://www.glueviz.org/en/stable/installation/conda.html#graphical-user-interface>
to
find out how to get the latest version. We also provide instructions
<http://www.glueviz.org/en/stable/installation/installation.html> for other
installation methods, including pip.

Please let us know if you run into any issues installing or using glue -
you can either let us know by email, by opening GitHub issues, or you can
join the glue slack channel <http://glueviz.org/en/stable/help.html> and
chat with us there.

Thanks to everyone who contributed to this release!

Tom
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From s_stefanoni at libero.it  Sat Aug 26 07:15:53 2017
From: s_stefanoni at libero.it (s_stefanoni at libero.it)
Date: Sat, 26 Aug 2017 13:15:53 +0200 (CEST)
Subject: [AstroPy] planetary degrees helio-geo
Message-ID: <490759451.516121.1503746153622@mail.libero.it>

Hello Everybody,

i'm not true programmer and therefore I'm looking for a module that help me to calculate , in a simple way, the position of the planets and lunar node  in heliocentric and geocentric mode. Now I'm using external software and use the swiss ephemeris pdf.

ex from swiss pdf:

date 2017 08 24 venus on (6'28 gemini) helio therefore 66'28 on 360 dial, 27'24 cancer geocentric , therefore 117'24 on 360 dial

Can astropy calculate these? eventually , show a simple code.

Plus, there is a function that count the total movement of a single or the distance of two planets, in degrees between two dates?

ex: from 2007 07 14 to 2011 01 18, mars moved 618'43 geocentric (360+258'43).

thanks

Regards

Stefano
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From dburke.gw at gmail.com  Sat Aug 26 14:26:41 2017
From: dburke.gw at gmail.com (Doug Burke)
Date: Sat, 26 Aug 2017 18:26:41 +0000
Subject: [AstroPy] ANN: Sherpa v4.9.1 released (a belated email)
Message-ID: <CALkjVLDQuQP7sPv_FdeLS=XtPu2gS210NiFWq71051AMe_oE4A@mail.gmail.com>

Tom's announcement of glue v0.11 (I'll let you go off and check that out
first) reminded me that I'd forgotten to send out a release note for our
recent release of Sherpa 4.9.1. So here goes:

We are happy to announce the v4.9.1 release of  Sherpa, a Python-based
fitting and modelling system that has strong support for Astronomy data (in
particular, X-ray data). Thanks to Zenodo and GitHub its DOI is
http://doi.org/10.5281/zenodo.838686

Thanks to members of the AstroPy community, both for the packages we use in
Sherpa and for their investment in time reporting issues, suggesting fixes,
and providing code improvements. Development continues at
https://github.com/sherpa/sherpa/ and we welcome your continued interest.

Release notes are available at
https://github.com/sherpa/sherpa/releases/tag/4.9.1 and include improved
Python 3 support (tests are now run on Python 3.6 as well as 3.5), improved
support for non-Chandra X-ray data files, fixed a significant regression
with user statistics, as well as various minor fixes and improvements
throughout, including testing and documentation.

We provide Linux and OS-X packages for users of the Anaconda Python
Distribution,

$ conda config --add channels https://conda.binstar.org/sherpa
$ conda install sherpa

It is also available for install via pip - see
https://pypi.python.org/pypi/sherpa/4.9.1 - and we appreciate any input or
comments on this means of distribution.

Source code can be downloaded from
https://github.com/sherpa/sherpa/releases/tag/4.9.1

Further information can be found at http://cxc.harvard.edu/contrib/sherpa/ and
we look forward to any input you have. Please feel free to forward this
announcement to anyone who you feel would be interested in this release.

For the Sherpa core development team,
Doug Burke
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