Content-Type: text/html; charset=UTF-8 Double Star Calculator - Orbital Elements

Double Star Calculator - Orbit

- Revision:		$Rev: 1216 $
- Report created:		2025-07-11 18:24:39

Orbital Elements for HDS2055

WDS:	HDS2055	WDS ID/Discoverer
P:	80.000	Orbital period (years)
a:	0.22	Semi-major axis (arcseconds)
i:	103.2	Inclination (degrees)
Ω:	132.1	Longitude of ascending node (degrees)
T:	2051.670	Epoch of periastron passage (year)
e:	0.4	Eccentricity
ω:	261.8	Longitude of periastron (degrees)
Start-Year:	1985.0	Year
End-Year:	2065.0	Year
Epoch:	2025.0	Besselian Epoch

Further data from the WDS Sixth Catalog of Orbits for HDS2055

Position:	143311.24-693517.3	Epoch-2000 right ascension and declination
WDS-ID:	14332-6935	WDS designation
Discoverer Code:	HDS2055	Discover designation and components
ADS number:	.	Aitken Double Star catalog
HD number:	127126	HD catalog number
Hipparcos number:	71155	Hipparcos catalog number
V1:	8.29	Magnitude of the primary
V2:	10.13	Magnitude of the secondary
Equinox:	2000	Equinox
Date:	2020	Date of last observation
Orbit grade:	5	Orbit grade, ranging from 1 'definitive' to 5 'indeterminate'
Flags:		Flags

Double Star Orbit for HDS2055

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ValueError

Python 3.12.3: /usr/bin/python3
Fri Jul 11 18:24:40 2025

A problem occurred in a Python script. Here is the sequence of function calls leading up to the error, in the order they occurred.

/var/www/cgi-bin/ds_orbit.py in <module>

956

957 # Smooth curve if necessary

=> 958 xa_smooth, ya_smooth = Q_get_smoothed_orbit(xa_list, ya_list)

959 plt.plot(xa_smooth, ya_smooth, label=f'Orbit of {wds}', color='#528B8B')

960

xa_smooth undefined, ya_smooth undefined, Q_get_smoothed_orbit = <function Q_get_smoothed_orbit>, xa_list = [0.1579872555268691, 0.16358294751967614, 0.16811185964746714, 0.17164344518731006, 0.17424329291522953, 0.17597279733120708, 0.17688911232248009, 0.17704527529137384, 0.17649042810721702, 0.17527008762951093, 0.17342643616437317, 0.17099861341329617, 0.16802299951364955, 0.1645334830449367, 0.1605617112989487, 0.1561373219276923, 0.1512881562762167, 0.1460404554001089, 0.14041904014921247, 0.13444747688528064, ...], ya_list = [0.13321963321616978, 0.1329081908214529, 0.13172949213849042, 0.1297688761513495, 0.12710347047662515, 0.12380287821808936, 0.11992991739931806, 0.115541351293149, 0.11068857691943601, 0.1054182564041532, 0.09977288649640387, 0.09379130613617745, 0.08750914710498446, 0.08095923193727977, 0.07417192522524108, 0.0671754438523667, 0.05999613144387913, 0.05265870186435304, 0.04518645609670067, 0.03760147635029101, ...]

/var/www/cgi-bin/ds_orbit.py in Q_get_smoothed_orbit(x_list=[0.1579872555268691, 0.16358294751967614, 0.16811185964746714, 0.17164344518731006, 0.17424329291522953, 0.17597279733120708, 0.17688911232248009, 0.17704527529137384, 0.17649042810721702, 0.17527008762951093, 0.17342643616437317, 0.17099861341329617, 0.16802299951364955, 0.1645334830449367, 0.1605617112989487, 0.1561373219276923, 0.1512881562762167, 0.1460404554001089, 0.14041904014921247, 0.13444747688528064, ...], y_list=[0.13321963321616978, 0.1329081908214529, 0.13172949213849042, 0.1297688761513495, 0.12710347047662515, 0.12380287821808936, 0.11992991739931806, 0.115541351293149, 0.11068857691943601, 0.1054182564041532, 0.09977288649640387, 0.09379130613617745, 0.08750914710498446, 0.08095923193727977, 0.07417192522524108, 0.0671754438523667, 0.05999613144387913, 0.05265870186435304, 0.04518645609670067, 0.03760147635029101, ...])

272 # Nur wenn ausreichend Punkte vorhanden sind

273 if len(x) >= 4:

=> 274 tck, u = splprep([x, y], s=0.0, per=True) # per=True für geschlossene Kurve (Orbit)

275 u_fine = np.linspace(0, 1, 300) # Feinere Parameterwerte

276 return splev(u_fine, tck)

tck undefined, u undefined, splprep = <function splprep>, x = array([-0.0463274 , -0.06363554, -0.07922121, -0... , 0.01131725, -0.0083155 , -0.02771492]), y = array([-0.00268268, -0.02077799, -0.03831396, -0...6, 0.05003517, 0.03321717, 0.01548635]), s undefined, per undefined

/usr/lib/python3/dist-packages/scipy/interpolate/_fitpack_py.py in splprep(x=[array([-0.0463274 , -0.06363554, -0.07922121, -0... , 0.01131725, -0.0083155 , -0.02771492]), array([-0.00268268, -0.02077799, -0.03831396, -0...6, 0.05003517, 0.03321717, 0.01548635])], w=None, u=None, ub=None, ue=None, k=3, task=0, s=0.0, t=None, full_output=0, nest=None, per=True, quiet=1)

153 """

154

=> 155 res = _impl.splprep(x, w, u, ub, ue, k, task, s, t, full_output, nest, per,

=> 156 quiet)

157 return res

res undefined, global _impl = <module 'scipy.interpolate._fitpack_impl' from '...ist-packages/scipy/interpolate/_fitpack_impl.py'>, _impl.splprep = <function splprep>, x = [array([-0.0463274 , -0.06363554, -0.07922121, -0... , 0.01131725, -0.0083155 , -0.02771492]), array([-0.00268268, -0.02077799, -0.03831396, -0...6, 0.05003517, 0.03321717, 0.01548635])], w = None, u = None, ub = None, ue = None, k = 3, task = 0, s = 0.0, t = None, full_output = 0, nest = None, per = True, quiet = 1

/usr/lib/python3/dist-packages/scipy/interpolate/_fitpack_impl.py in splprep(x=array([[-0.0463274 , -0.06363554, -0.07922121, -... 0.05003517, 0.03321717, -0.00268268]]), w=array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1... 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.]), u=array([0. , 0.02892758, 0.0560309 , 0.080...8178, 0.90973361, 0.93959821, 1. ]), ub=0, ue=1, k=3, task=0, s=0.0, t=array([], dtype=float64), full_output=0, nest=87, per=True, quiet=1)

172 wrk = _parcur_cache['wrk']

173 iwrk = _parcur_cache['iwrk']

=> 174 t, c, o = _fitpack._parcur(ravel(transpose(x)), w, u, ub, ue, k,

=> 175 task, ipar, s, t, nest, wrk, iwrk, per)

176 _parcur_cache['u'] = o['u']

t = array([], dtype=float64), c undefined, o undefined, global _fitpack = <module 'scipy.interpolate._fitpack' from '/usr/...polate/_fitpack.cpython-312-x86_64-linux-gnu.so'>, _fitpack._parcur = <built-in function _parcur>, global ravel = <function ravel>, global transpose = <function transpose>, x = array([[-0.0463274 , -0.06363554, -0.07922121, -... 0.05003517, 0.03321717, -0.00268268]]), w = array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1... 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.]), u = array([0. , 0.02892758, 0.0560309 , 0.080...8178, 0.90973361, 0.93959821, 1. ]), ub = 0, ue = 1, k = 3, task = 0, ipar = False, s = 0.0, nest = 87, wrk = array([], dtype=float64), iwrk = array([], dtype=int32), per = True

ValueError: Invalid inputs.
      add_note = <built-in method add_note of ValueError object>
      args = ('Invalid inputs.',)
      with_traceback = <built-in method with_traceback of ValueError object>