Shichao Wu

Results 34 comments of Shichao Wu

@bjodah So should I install sundials-2.7.0.tar.gz and boost_1_65_0.tar.bz2 first, and then 'python2 -m pip install 'pyodesys

@bjodah the output of `pytest --pyargs pyodesys -x` ============================= test session starts ============================== platform linux2 -- Python 2.7.15, pytest-4.4.2, py-1.8.0, pluggy-0.11.0 rootdir: /home/nightwing collected 266 items anaconda3/envs/pyodesys/lib/python2.7/site-packages/pyodesys/native/tests/test_cvode.py F [ 0%]...

@bjodah Thanks, so you mean if I don't install sundials/boost from source or apt-repo, pyodesys will not work?

> Also, looks like it's Electron regression, it used to affect users on Linux, but now it's relevant for windows users as well [electron/electron#15947](https://github.com/electron/electron/issues/15947) Can I use mtgap on Linux?

> @WuShichao Does this #4225 fix the issue? @ahnitz @spxiwh Thanks a lot! `hann` fixes my issue, I have read all the comments in that PR draft, it seems that...

Several diagnostic plots: ![image](https://github.com/gwastro/pycbc/assets/6574526/4333cc44-aa23-4368-a9a9-ef5d6d1f39b6) ![image](https://github.com/gwastro/pycbc/assets/6574526/e8d54171-3c19-4ec6-bbe3-703c651f9562) ![image](https://github.com/gwastro/pycbc/assets/6574526/2f1daced-2b57-44b8-a782-31e9bb2066a4) ![image](https://github.com/gwastro/pycbc/assets/6574526/989355f4-e2f0-460d-9074-63356f863673) ![image](https://github.com/gwastro/pycbc/assets/6574526/9415fa1f-5e37-4f53-a8a6-af70bfc2693d) ![image](https://github.com/gwastro/pycbc/assets/6574526/9c2575a8-2c96-4d04-8ef8-62fd271d638b) ![image](https://github.com/gwastro/pycbc/assets/6574526/5af0453c-4125-4234-9786-2ee04389f7b9) ![image](https://github.com/gwastro/pycbc/assets/6574526/e962ec39-5c96-4f36-b341-8f1d86411b86) As you can see, Taiji looks good, but TianQin has some issues with confusion noise fitting (too high), still...

> @WuShichao Thanks for adding more PSDs! As for the issues about TianQin confusion noise, I suggest removing the confusion noise functions: > > * TianQin has a higher sensitive...

> @WuShichao Please check the review comments I leave in the code. I have also opened a pull request in your branch for fixing the TianQin confusion noise, I hope...