hera_sim: A Simple Simulator¶
hera_sim is a simple simulator that generates instrumental effects and applies them to visibilities.
Contents¶
Installation¶
Requirements¶
- Requires:
- numpy
- scipy
- aipy
- hera_cal (which requires h5py)
- pyuvdata
Then, at the command line, navigate to the hera_sim repo/directory, and:
pip install .
If developing, from the top-level directory do:
pip install -e .
Tutorials and FAQs¶
The following introductory tutorial will help you get started with hera_sim:
Tour of hera_sim¶
This notebook briefly introduces some of the effects that can be modeled with hera_sim
.
[ ]:
%matplotlib notebook
import aipy, uvtools
import numpy as np
import pylab as plt
[5]:
from hera_sim import foregrounds, noise, sigchain, rfi
[6]:
fqs = np.linspace(.1,.2,1024,endpoint=False)
lsts = np.linspace(0,2*np.pi,10000, endpoint=False)
times = lsts / (2*np.pi) * aipy.const.sidereal_day
bl_len_ns = 30.
Foregrounds¶
Diffuse Foregrounds¶
[7]:
Tsky_mdl = noise.HERA_Tsky_mdl['xx']
vis_fg_diffuse = foregrounds.diffuse_foreground(Tsky_mdl, lsts, fqs, bl_len_ns)
[8]:
MX, DRNG = 2.5, 3
plt.figure()
plt.subplot(211); uvtools.plot.waterfall(vis_fg_diffuse, mode='log', mx=MX, drng=DRNG); plt.colorbar(); plt.ylim(0,4000)
plt.subplot(212); uvtools.plot.waterfall(vis_fg_diffuse, mode='phs'); plt.colorbar(); plt.ylim(0,4000)
plt.show()
Point-Source Foregrounds¶
[9]:
vis_fg_pntsrc = foregrounds.pntsrc_foreground(lsts, fqs, bl_len_ns, nsrcs=200)
[10]:
plt.figure()
plt.subplot(211); uvtools.plot.waterfall(vis_fg_pntsrc, mode='log', mx=MX, drng=DRNG); plt.colorbar()#; plt.ylim(0,4000)
plt.subplot(212); uvtools.plot.waterfall(vis_fg_pntsrc, mode='phs'); plt.colorbar(); plt.ylim(0,4000)
plt.show()
Diffuse and Point-Source Foregrounds¶
[11]:
vis_fg = vis_fg_diffuse + vis_fg_pntsrc
[12]:
plt.figure()
plt.subplot(211); uvtools.plot.waterfall(vis_fg, mode='log', mx=MX, drng=DRNG); plt.colorbar(); plt.ylim(0,4000)
plt.subplot(212); uvtools.plot.waterfall(vis_fg, mode='phs'); plt.colorbar(); plt.ylim(0,4000)
plt.show()
Noise¶
[13]:
tsky = noise.resample_Tsky(fqs,lsts,Tsky_mdl=noise.HERA_Tsky_mdl['xx'])
t_rx = 150.
nos_jy = noise.sky_noise_jy(tsky + t_rx, fqs, lsts)
[14]:
plt.figure()
plt.subplot(211); uvtools.plot.waterfall(nos_jy, mode='log', mx=MX, drng=DRNG); plt.colorbar()#; plt.ylim(0,4000)
plt.subplot(212); uvtools.plot.waterfall(nos_jy, mode='phs'); plt.colorbar()#; plt.ylim(0,4000)
plt.show()
[16]:
vis_fg_nos = vis_fg + nos_jy
[17]:
plt.figure()
plt.subplot(211); uvtools.plot.waterfall(vis_fg_nos, mode='log', mx=MX, drng=DRNG); plt.colorbar(); plt.ylim(0,4000)
plt.subplot(212); uvtools.plot.waterfall(vis_fg_nos, mode='phs'); plt.colorbar(); plt.ylim(0,4000)
plt.show()
RFI¶
[18]:
rfi1 = rfi.rfi_stations(fqs, lsts)
rfi2 = rfi.rfi_impulse(fqs, lsts, chance=.02)
rfi3 = rfi.rfi_scatter(fqs, lsts, chance=.001)
rfi_all = rfi1 + rfi2 + rfi3
[19]:
plt.figure()
plt.subplot(211); uvtools.plot.waterfall(rfi_all, mode='log', mx=MX, drng=DRNG); plt.colorbar(); plt.ylim(0,4000)
plt.subplot(212); uvtools.plot.waterfall(rfi_all, mode='phs'); plt.colorbar(); plt.ylim(0,4000)
plt.show()
/home/steven/miniconda3/envs/hera_sim/lib/python2.7/site-packages/uvtools/plot.py:13: RuntimeWarning: divide by zero encountered in log10
data = np.log10(data)
[21]:
vis_fg_nos_rfi = vis_fg_nos + rfi_all
[22]:
plt.figure()
plt.subplot(211); uvtools.plot.waterfall(vis_fg_nos_rfi, mode='log', mx=MX, drng=DRNG); plt.colorbar(); plt.ylim(0,4000)
plt.subplot(212); uvtools.plot.waterfall(vis_fg_nos_rfi, mode='phs'); plt.colorbar(); plt.ylim(0,4000)
plt.show()
Gains¶
[23]:
g = sigchain.gen_gains(fqs, [1,2,3])
plt.figure()
for i in g: plt.plot(fqs, np.abs(g[i]), label=str(i))
plt.legend(); plt.show()
gainscale = np.average([np.median(np.abs(g[i])) for i in g])
MXG = MX + np.log10(gainscale)
[24]:
vis_total = sigchain.apply_gains(vis_fg_nos_rfi, g, (1,2))
plt.figure()
plt.subplot(211); uvtools.plot.waterfall(vis_total, mode='log', mx=MXG, drng=DRNG); plt.colorbar(); plt.ylim(0,4000)
plt.subplot(212); uvtools.plot.waterfall(vis_total, mode='phs'); plt.colorbar(); plt.ylim(0,4000)
plt.show()
Crosstalk¶
[25]:
xtalk = sigchain.gen_xtalk(fqs)
vis_xtalk = sigchain.apply_xtalk(vis_fg_nos_rfi, xtalk)
vis_xtalk = sigchain.apply_gains(vis_xtalk, g, (1,2))
plt.figure()
plt.subplot(211); uvtools.plot.waterfall(vis_xtalk, mode='log', mx=MXG, drng=DRNG); plt.colorbar(); plt.ylim(0,4000)
plt.subplot(212); uvtools.plot.waterfall(vis_xtalk, mode='phs'); plt.colorbar(); plt.ylim(0,4000)
plt.show()
API Reference¶
hera_sim¶
hera_sim.vis |
|
hera_sim.antpos |
|
hera_sim.eor |
|
hera_sim.foregrounds |
|
hera_sim.io |
|
hera_sim.noise |
|
hera_sim.reflections |
|
hera_sim.rfi |
|
hera_sim.sigchain |
|
hera_sim.utils |
Contributing¶
Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given.
Bug reports¶
When reporting a bug please include:
- Your operating system name and version.
- Any details about your local setup that might be helpful in troubleshooting.
- Detailed steps to reproduce the bug.
Documentation improvements¶
hera_sim could always use more documentation, whether as part of the official py21cmmc docs, in docstrings, or even on the web in blog posts, articles, and such.
Feature requests and feedback¶
The best way to send feedback is to file an issue at https://github.com/HERA-Team/hera_sim/issues.
If you are proposing a feature:
- Explain in detail how it would work.
- Keep the scope as narrow as possible, to make it easier to implement.
- Remember that this is a volunteer-driven project, and that code contributions are welcome :)
Development¶
To set up hera_sim for local development:
Fork hera_sim (look for the “Fork” button).
Clone your fork locally:
git clone git@github.com:your_name_here/hera_sim.git
Create a branch for local development:
git checkout -b name-of-your-bugfix-or-feature
Now you can make your changes locally.
When you’re done making changes, run all the checks, doc builder and spell checker with tox one command:
tox
Commit your changes and push your branch to GitHub:
git add . git commit -m "Your detailed description of your changes." git push origin name-of-your-bugfix-or-feature
Submit a pull request through the GitHub website.
Pull Request Guidelines¶
If you need some code review or feedback while you’re developing the code just make the pull request.
For merging, you should:
- Include passing tests (run
tox
) [1]. - Update documentation when there’s new API, functionality etc.
- Add a note to
CHANGELOG.rst
about the changes. - Add yourself to
AUTHORS.rst
.
[1] | If you don’t have all the necessary python versions available locally you can rely on Travis - it will run the tests for each change you add in the pull request. It will be slower though … |
Developing hera_sim¶
hera_sim broadly follows the best-practices laid out in XXX.
Todo
where is that best-practices doc?
All docstrings should be written in Google docstring format.
AUTHORS¶
- HERA-Team - https://github.com/HERA-Team