[MSNoise] problem in compute_dtt (master version with ACC)

Christos Evangelidis cevan at noa.gr
Fri Apr 7 07:53:30 UTC 2017 

I have deleted in line 1500 the "xtol=1e-20" and it works.

Christos

On Fri, Apr 7, 2017 at 10:46 AM, Thomas Lecocq <thomas.lecocq at oma.be> wrote:

> It looks like the xtol is still there... although it indeed looks like
> another error.
>
>
>
> Le 07/04/2017 à 09:42, Christos Evangelidis a écrit :
>
>> But now it stops after a while with this:
>>
>> raceback (most recent call last):
>>    File "/home/noise/anaconda2/bin/msnoise", line 11, in <module>
>>      load_entry_point('msnoise==1.5a0', 'console_scripts', 'msnoise')()
>>    File
>> "/home/noise/anaconda2/lib/python2.7/site-packages/msnoise/
>> scripts/msnoise.py",
>> line 708, in run
>>      cli(obj={})
>>    File "/home/noise/anaconda2/lib/python2.7/site-packages/click/cor
>> e.py",
>> line 722, in __call__
>>      return self.main(*args, **kwargs)
>>    File "/home/noise/anaconda2/lib/python2.7/site-packages/click/cor
>> e.py",
>> line 697, in main
>>      rv = self.invoke(ctx)
>>    File "/home/noise/anaconda2/lib/python2.7/site-packages/click/cor
>> e.py",
>> line 1066, in invoke
>>      return _process_result(sub_ctx.command.invoke(sub_ctx))
>>    File "/home/noise/anaconda2/lib/python2.7/site-packages/click/cor
>> e.py",
>> line 895, in invoke
>>      return ctx.invoke(self.callback, **ctx.params)
>>    File "/home/noise/anaconda2/lib/python2.7/site-packages/click/cor
>> e.py",
>> line 535, in invoke
>>      return callback(*args, **kwargs)
>>    File
>> "/home/noise/anaconda2/lib/python2.7/site-packages/msnoise/
>> scripts/msnoise.py",
>> line 421, in compute_dtt
>>      main(interval)
>>    File
>> "/home/noise/anaconda2/lib/python2.7/site-packages/msnoise/
>> s06compute_dtt.py",
>> line 359, in main
>>      intercept_origin=True)
>>    File "/home/noise/anaconda2/lib/python2.7/site-packages/msnoise/
>> api.py",
>> line 1500, in linear_regression
>>      xtol=1e-20)
>>    File
>> "/home/noise/anaconda2/lib/python2.7/site-packages/scipy/opt
>> imize/minpack.py",
>> line 740, in curve_fit
>>      raise RuntimeError("Optimal parameters not found: " + errmsg)
>> RuntimeError: Optimal parameters not found: gtol=0.000000 is too small,
>> func(x) is orthogonal to the columns of
>>    the Jacobian to machine precision.
>>
>>
>> On Fri, Apr 7, 2017 at 10:41 AM, Christos Evangelidis <cevan at noa.gr>
>> wrote:
>>
>> Thank you!
>>>
>>> It works!
>>>
>>> Christos
>>>
>>> On Fri, Apr 7, 2017 at 10:34 AM, Thomas Lecocq <thomas.lecocq at oma.be>
>>> wrote:
>>>
>>> Christos
>>>>
>>>> could you edit the api:
>>>>
>>>> /home/noise/anaconda2/lib/python2.7/site-packages/msnoise/
>>>> api.py",
>>>> line 1508, in linear_regression
>>>>
>>>> and remove the parameter xtol=1e-20, so scipy would use the default 1e-8
>>>> or so ; reset your DTT jobs and relaunch ?
>>>>
>>>> Thanks
>>>>
>>>> Thomas
>>>>
>>>>
>>>>
>>>> Le 07/04/2017 à 09:28, Christos Evangelidis a écrit :
>>>>
>>>> Hi Thomas,
>>>>>
>>>>> Yes I am using the latest master version.
>>>>>
>>>>> Christos
>>>>>
>>>>>
>>>>> On Fri, Apr 7, 2017 at 10:22 AM, Thomas Lecocq <thomas.lecocq at oma.be>
>>>>> wrote:
>>>>>
>>>>> Hi Christos,
>>>>>
>>>>>> you're using the latest master version ?
>>>>>>
>>>>>> It looks like the linear regression complains ; will have to look into
>>>>>> it
>>>>>> before 1.5 ... :(
>>>>>>
>>>>>> Thomas
>>>>>>
>>>>>>
>>>>>>
>>>>>> Le 06/04/2017 à 12:42, Christos Evangelidis a écrit :
>>>>>>
>>>>>> Hi all,
>>>>>>
>>>>>>> I have the following error trying to calculate the DTT with the
>>>>>>> command
>>>>>>> (master version)
>>>>>>>
>>>>>>> msnoise compute_dtt -i 999
>>>>>>>
>>>>>>> for 2 stations with autocorrelations. It seems that the script stacks
>>>>>>> in a
>>>>>>> some days (eg. 2011-02-27).
>>>>>>>
>>>>>>> Any idea?
>>>>>>>
>>>>>>> Cheers,
>>>>>>>
>>>>>>> Christos
>>>>>>>
>>>>>>> -----------------------------------------------
>>>>>>> 2017-04-06 10:37:45 [INFO] *** Starting: Compute DT/T ***
>>>>>>> 2017-04-06 10:37:45 [DEBUG] Found 2229 updated days
>>>>>>> 2017-04-06 10:37:45 [INFO] Loading mov=5 days for filter=02
>>>>>>> 2017-04-06 10:37:45 [DEBUG] Processing 2011-02-03 - 02 - 05 mov
>>>>>>> /home/noise/anaconda2/lib/python2.7/site-packages/msnoise/
>>>>>>> s06compute_dtt.py:140:
>>>>>>> RuntimeWarning: invalid value encountered in double_scalars
>>>>>>>      wavg = (d * w).sum() / w.sum()
>>>>>>> /home/noise/anaconda2/lib/python2.7/site-packages/msnoise/
>>>>>>> s06compute_dtt.py:142:
>>>>>>> RuntimeWarning: invalid value encountered in double_scalars
>>>>>>>      wstd = np.sqrt(np.sum(w * (d - wavg) ** 2) / ((N - 1) *
>>>>>>> np.sum(w)
>>>>>>> / N))
>>>>>>> /home/noise/anaconda2/lib/python2.7/site-packages/msnoise/
>>>>>>> s06compute_dtt.py:340:
>>>>>>> RuntimeWarning: invalid value encountered in less_equal
>>>>>>>      errindex = np.where(errArray[i] <= maxErr)[0]
>>>>>>> /home/noise/anaconda2/lib/python2.7/site-packages/msnoise/
>>>>>>> s06compute_dtt.py:341:
>>>>>>> RuntimeWarning: invalid value encountered in less_equal
>>>>>>>      dtindex = np.where(np.abs(dtArray[i]) <= maxDt)[0]
>>>>>>> 2017-04-06 10:37:45 [DEBUG] 2011-02-03: exporting: 4 pairs
>>>>>>> 2017-04-06 10:37:45 [DEBUG] Processing 2011-02-04 - 02 - 05 mov
>>>>>>> 2017-04-06 10:37:45 [DEBUG] 2011-02-04: exporting: 4 pairs
>>>>>>> 2017-04-06 10:37:45 [DEBUG] Processing 2011-02-05 - 02 - 05 mov
>>>>>>> 2017-04-06 10:37:45 [DEBUG] 2011-02-05: exporting: 4 pairs
>>>>>>> 2017-04-06 10:37:45 [DEBUG] Processing 2011-02-06 - 02 - 05 mov
>>>>>>> 2017-04-06 10:37:45 [DEBUG] 2011-02-06: exporting: 4 pairs
>>>>>>> 2017-04-06 10:37:45 [DEBUG] Processing 2011-02-07 - 02 - 05 mov
>>>>>>> 2017-04-06 10:37:45 [DEBUG] 2011-02-07: exporting: 4 pairs
>>>>>>> 2017-04-06 10:37:45 [DEBUG] Processing 2011-02-08 - 02 - 05 mov
>>>>>>> 2017-04-06 10:37:45 [DEBUG] 2011-02-08: exporting: 4 pairs
>>>>>>> 2017-04-06 10:37:45 [DEBUG] Processing 2011-02-09 - 02 - 05 mov
>>>>>>> /home/noise/anaconda2/lib/python2.7/site-packages/msnoise/
>>>>>>> s06compute_dtt.py:142:
>>>>>>> RuntimeWarning: divide by zero encountered in double_scalars
>>>>>>>      wstd = np.sqrt(np.sum(w * (d - wavg) ** 2) / ((N - 1) *
>>>>>>> np.sum(w)
>>>>>>> / N))
>>>>>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-09: exporting: 4 pairs
>>>>>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-10 - 02 - 05 mov
>>>>>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-10: exporting: 4 pairs
>>>>>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-11 - 02 - 05 mov
>>>>>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-11: exporting: 4 pairs
>>>>>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-13 - 02 - 05 mov
>>>>>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-13: exporting: 4 pairs
>>>>>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-14 - 02 - 05 mov
>>>>>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-14: exporting: 4 pairs
>>>>>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-15 - 02 - 05 mov
>>>>>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-15: exporting: 4 pairs
>>>>>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-16 - 02 - 05 mov
>>>>>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-16: exporting: 4 pairs
>>>>>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-17 - 02 - 05 mov
>>>>>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-17: exporting: 4 pairs
>>>>>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-18 - 02 - 05 mov
>>>>>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-18: exporting: 4 pairs
>>>>>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-19 - 02 - 05 mov
>>>>>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-19: exporting: 4 pairs
>>>>>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-20 - 02 - 05 mov
>>>>>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-20: exporting: 4 pairs
>>>>>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-21 - 02 - 05 mov
>>>>>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-21: exporting: 4 pairs
>>>>>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-22 - 02 - 05 mov
>>>>>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-22: exporting: 4 pairs
>>>>>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-23 - 02 - 05 mov
>>>>>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-23: exporting: 4 pairs
>>>>>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-24 - 02 - 05 mov
>>>>>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-24: exporting: 4 pairs
>>>>>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-25 - 02 - 05 mov
>>>>>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-25: exporting: 4 pairs
>>>>>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-26 - 02 - 05 mov
>>>>>>> 2017-04-06 10:37:46 [DEBUG] 2011-02-26: exporting: 4 pairs
>>>>>>> 2017-04-06 10:37:46 [DEBUG] Processing 2011-02-27 - 02 - 05 mov
>>>>>>> Traceback (most recent call last):
>>>>>>>      File "/home/noise/anaconda2/bin/msnoise", line 11, in <module>
>>>>>>>        load_entry_point('msnoise==1.5a0', 'console_scripts',
>>>>>>> 'msnoise')()
>>>>>>>      File
>>>>>>> "/home/noise/anaconda2/lib/python2.7/site-packages/msnoise/
>>>>>>> scripts/msnoise.py",
>>>>>>> line 708, in run
>>>>>>>        cli(obj={})
>>>>>>>      File "/home/noise/anaconda2/lib/pyt
>>>>>>> hon2.7/site-packages/click/cor
>>>>>>> e.py",
>>>>>>> line 722, in __call__
>>>>>>>        return self.main(*args, **kwargs)
>>>>>>>      File "/home/noise/anaconda2/lib/pyt
>>>>>>> hon2.7/site-packages/click/cor
>>>>>>> e.py",
>>>>>>> line 697, in main
>>>>>>>        rv = self.invoke(ctx)
>>>>>>>      File "/home/noise/anaconda2/lib/pyt
>>>>>>> hon2.7/site-packages/click/cor
>>>>>>> e.py",
>>>>>>> line 1066, in invoke
>>>>>>>        return _process_result(sub_ctx.command.invoke(sub_ctx))
>>>>>>>      File "/home/noise/anaconda2/lib/pyt
>>>>>>> hon2.7/site-packages/click/cor
>>>>>>> e.py",
>>>>>>> line 895, in invoke
>>>>>>>        return ctx.invoke(self.callback, **ctx.params)
>>>>>>>      File "/home/noise/anaconda2/lib/pyt
>>>>>>> hon2.7/site-packages/click/cor
>>>>>>> e.py",
>>>>>>> line 535, in invoke
>>>>>>>        return callback(*args, **kwargs)
>>>>>>>      File
>>>>>>> "/home/noise/anaconda2/lib/python2.7/site-packages/msnoise/
>>>>>>> scripts/msnoise.py",
>>>>>>> line 421, in compute_dtt
>>>>>>>        main(interval)
>>>>>>>      File
>>>>>>> "/home/noise/anaconda2/lib/python2.7/site-packages/msnoise/
>>>>>>> s06compute_dtt.py",
>>>>>>> line 356, in main
>>>>>>>        intercept_origin=False)
>>>>>>>      File "/home/noise/anaconda2/lib/pyt
>>>>>>> hon2.7/site-packages/msnoise/
>>>>>>> api.py",
>>>>>>> line 1508, in linear_regression
>>>>>>>        xtol=1e-20)
>>>>>>>      File
>>>>>>> "/home/noise/anaconda2/lib/python2.7/site-packages/scipy/opt
>>>>>>> imize/minpack.py",
>>>>>>> line 740, in curve_fit
>>>>>>>        raise RuntimeError("Optimal parameters not found: " + errmsg)
>>>>>>> RuntimeError: Optimal parameters not found: xtol=0.000000 is too
>>>>>>> small, no
>>>>>>> further improvement in the approximate
>>>>>>>      solution is possible.
>>>>>>> _______________________________________________
>>>>>>> MSNoise mailing list
>>>>>>> MSNoise at mailman-as.oma.be
>>>>>>> http://mailman-as.oma.be/mailman/listinfo/msnoise
>>>>>>>
>>>>>>> _______________________________________________
>>>>>>>
>>>>>> MSNoise mailing list
>>>>>> MSNoise at mailman-as.oma.be
>>>>>> http://mailman-as.oma.be/mailman/listinfo/msnoise
>>>>>>
>>>>>>
>>>>>>
>>>>> _______________________________________________
>>>> MSNoise mailing list
>>>> MSNoise at mailman-as.oma.be
>>>> http://mailman-as.oma.be/mailman/listinfo/msnoise
>>>>
>>>>
>>>
>>> --
>>> ---------------------------------------------------------------
>>> Dr. Christos Evangelidis
>>> Associate Researcher - Seismologist
>>> Hellenic Broadband Seismic Network
>>> INSTITUTE OF GEODYNAMICS
>>> NATIONAL OBSERVATORY OF ATHENS
>>> Tel:+30 210 3490043 <+30%2021%200349%200043>
>>> Email: cevan at noa.gr
>>> Www: http://members.noa.gr/cevan/en/
>>> ---------------------------------------------------------------
>>>
>>>
>>
>>
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> MSNoise mailing list
> MSNoise at mailman-as.oma.be
> http://mailman-as.oma.be/mailman/listinfo/msnoise
>



-- 
---------------------------------------------------------------
Dr. Christos Evangelidis
Associate Researcher - Seismologist
Hellenic Broadband Seismic Network
INSTITUTE OF GEODYNAMICS
NATIONAL OBSERVATORY OF ATHENS
Tel:+30 210 3490043
Email: cevan at noa.gr
Www: http://members.noa.gr/cevan/en/
---------------------------------------------------------------

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