Skip to content

crashing when making ideal pulsar #56

@tsmith2

Description

@tsmith2

I have been trying to load J1713+0747 from the 15 year data and when I try to run 'LT.make_ideal(psr)' it fails and gives me the following errors:

Warning: one or more of the design-matrix columns is null. Disabling renormalization (if active), but fit may fail.

and then fails with the following output

`---------------------------------------------------------------------------
LinAlgError Traceback (most recent call last)
Cell In[5], line 1
----> 1 LT.make_ideal(psr)

File /opt/anaconda3/envs/ent15y/lib/python3.9/site-packages/libstempo/toasim.py:159, in make_ideal(psr)
156 """Adjust the TOAs so that the residuals to zero, then refit."""
158 psr.stoas[:] -= psr.residuals() / 86400.0
--> 159 psr.fit()

File libstempo/libstempo.pyx:2087, in libstempo.libstempo.tempopulsar.fit()

File libstempo/libstempo.pyx:2054, in libstempo.libstempo.tempopulsar._fit()

File /opt/anaconda3/envs/ent15y/lib/python3.9/site-packages/scipy/linalg/_decomp_cholesky.py:154, in cho_factor(a, lower, overwrite_a, check_finite)
94 def cho_factor(a, lower=False, overwrite_a=False, check_finite=True):
95 """
96 Compute the Cholesky decomposition of a matrix, to use in cho_solve
97
(...)
152
153 """
--> 154 c, lower = _cholesky(a, lower=lower, overwrite_a=overwrite_a, clean=False,
155 check_finite=check_finite)
156 return c, lower

File /opt/anaconda3/envs/ent15y/lib/python3.9/site-packages/scipy/linalg/_decomp_cholesky.py:37, in _cholesky(a, lower, overwrite_a, clean, check_finite)
35 c, info = potrf(a1, lower=lower, overwrite_a=overwrite_a, clean=clean)
36 if info > 0:
---> 37 raise LinAlgError("%d-th leading minor of the array is not positive "
38 "definite" % info)
39 if info < 0:
40 raise ValueError('LAPACK reported an illegal value in {}-th argument'
41 'on entry to "POTRF".'.format(-info))

LinAlgError: 19-th leading minor of the array is not positive definite`

I am trying to produce a synthetic data set which matches as close as possible the NG15yr data-- if this is my goal, is it necessary to re fit?

Any help on resolving this would be much appreciated.

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions