I'm having an issue where I'm using eleanor.multi_sectors() to search for a star using Gaia coordinates. The star is observed in sectors 16 and 17, but the function returns two entries for sector 16, and breaks as a result. Trying to download sector 16 using eleanor.Source() fails with the same error message, but downloading sector 7 using `eleanor.Source() works fine.
Any ideas? :)
I'm using Python 3.8.11 and eleanor version 2.0.3 from this repository.
import eleanor
from astropy.coordinates import SkyCoord
import astropy.units as u
c = SkyCoord(ra = 325.689078, dec=54.038285, unit=(u.deg, u.deg))
star = eleanor.multi_sectors(coords=c, sectors='all')
datum = eleanor.TargetData(star[1])
Found star in Sector(s) 16 16 17
WARNING: NoResultsWarning: Query returned no results. [astroquery.mast.discovery_portal]
No eleanor postcard has been made for your target (yet). Using TessCut instead.
No eleanor postcard has been made for your target (yet). Using TessCut instead.
No eleanor postcard has been made for your target (yet). Using TessCut instead.
datum = eleanor.TargetData(star[1])
WARNING: Input data contains invalid values (NaNs or infs), which were automatically clipped. [astropy.stats.sigma_clipping]
WARNING: Input data contains invalid values (NaNs or infs), which were automatically clipped. [astropy.stats.sigma_clipping]
/Users/Anaconda/anaconda3/envs/michael/lib/python3.8/site-packages/numpy/lib/nanfunctions.py:1113: RuntimeWarning: Mean of empty slice
return np.nanmean(a, axis, out=out, keepdims=keepdims)
/Users/Anaconda/anaconda3/envs/michael/lib/python3.8/site-packages/numpy/lib/nanfunctions.py:1113: RuntimeWarning: Mean of empty slice
return np.nanmean(a, axis, out=out, keepdims=keepdims)
/Users/Anaconda/anaconda3/envs/michael/lib/python3.8/site-packages/numpy/lib/nanfunctions.py:1113: RuntimeWarning: Mean of empty slice
return np.nanmean(a, axis, out=out, keepdims=keepdims)
/Users/Anaconda/anaconda3/envs/michael/lib/python3.8/site-packages/numpy/lib/nanfunctions.py:1113: RuntimeWarning: Mean of empty slice
return np.nanmean(a, axis, out=out, keepdims=keepdims)
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
/var/folders/qh/nrsz4hq94kg510wh1srt1x0ry2q37w/T/ipykernel_29011/847810929.py in <module>
----> 1 datum = eleanor.TargetData(star[1])
/Users/Anaconda/anaconda3/envs/michael/lib/python3.8/site-packages/eleanor-2.0.3-py3.8.egg/eleanor/targetdata.py in __init__(self, source, height, width, save_postcard, do_pca, do_psf, bkg_size, aperture_mode, cal_cadences, try_load, regressors, language)
229 self.create_apertures(self.tpf.shape[1], self.tpf.shape[2])
230
--> 231 self.get_lightcurve()
232
233 if do_pca == True:
/Users/Anaconda/anaconda3/envs/michael/lib/python3.8/site-packages/eleanor-2.0.3-py3.8.egg/eleanor/targetdata.py in get_lightcurve(self, aperture)
641 q = self.quality == 0
642
--> 643 tpf_stds[a] = get_flattened_sigma(all_corr_lc_tpf_sub[a][q][self.cal_cadences[0]:self.cal_cadences[1]])
644 pc_stds[a] = get_flattened_sigma(all_corr_lc_pc_sub[a][q][self.cal_cadences[0]:self.cal_cadences[1]])
645
/Users/Anaconda/anaconda3/envs/michael/lib/python3.8/site-packages/eleanor-2.0.3-py3.8.egg/eleanor/targetdata.py in get_flattened_sigma(y, maxiter, window_size, nsigma)
1688 def get_flattened_sigma(y, maxiter=100, window_size=51, nsigma=4):
1689 y = np.copy(y[np.isfinite(y)], order="C")
-> 1690 y[:] /= savgol_filter(y, window_size, 2)
1691 y[:] -= np.mean(y)
1692 sig = np.std(y)
~/.local/lib/python3.8/site-packages/scipy/signal/_savitzky_golay.py in savgol_filter(x, window_length, polyorder, deriv, delta, axis, mode, cval)
337 if mode == "interp":
338 if window_length > x.size:
--> 339 raise ValueError("If mode is 'interp', window_length must be less "
340 "than or equal to the size of x.")
341
ValueError: If mode is 'interp', window_length must be less than or equal to the size of x.
Turns out this was fixed between version 2.0.3, which was installed on my virtual environment, and 2.0.5 (which I updated in the wrong environment). Woops! Sorry :)
I'm having an issue where I'm using
eleanor.multi_sectors()
to search for a star using Gaia coordinates. The star is observed in sectors 16 and 17, but the function returns two entries for sector 16, and breaks as a result. Trying to download sector 16 usingeleanor.Source()
fails with the same error message, but downloading sector 7 using `eleanor.Source() works fine.Any ideas? :)
I'm using Python 3.8.11 and eleanor version 2.0.3 from this repository.