amiszuda
commented
2 years ago The reason behind sudden spikes in the flux is, as you mentioned, the finite mesh; these are simply the numerical effects you see. Try to increase the number of triangles, it will smooth your flux.
As for your second question, no I don't think you can always use the same set of triangles in the mesh. As the binary orbits around the barycentre, the visibility not only of the spot but also of the Roche distortion changes in time. Therefore, PHOEBE will need to recalculate the mesh for each time point you provide. To visualise that, I changed your script a bit. I hope it helps.
import phoebe
import numpy as np
import matplotlib.pyplot as plt
b = phoebe.default_binary()
qq=0.2106537891#1./4.75
b.set_value('q', qq)
b.add_constraint('semidetached', 'secondary')
period=1#7.054905
b.set_value('period@binary', period)
b.set_value('teff', component='primary', value=5592.)
b.set_value('teff', component='secondary', value=4769.)
b.flip_constraint('asini@binary', solve_for='sma@binary')
b.add_spot(component='primary', feature='spot01')
b.add_constraint(b.get_parameter('requiv@primary'),24./25.*b.get_parameter("requiv_max@secondary@component"))
#solution with spot on primary and default gde and albedo
b["t0_supconj@binary@orbit@component"]=0.051233149902048816#,0.022060250657176605
b["gravb_bol@primary@star@component"]=0.32
b["gravb_bol@secondary@star@component"]=0.32
b["incl@binary@orbit@component"]=39.80638565338866#49.79894994015926
b["irrad_frac_refl_bol@primary@star@component"]=0.5#0.09293901423605994
b["irrad_frac_refl_bol@secondary@star@component"]=0.5#0.9262508771090747
b["asini@binary@orbit@component"]=12.201941180329381
#spot
b['colat@spot01']=93.5191972757996
b['long@spot01']=7.53262022863316
b['radius@spot01']=25.759455456205373
b['relteff@spot01']=0.9209290488374553
b['ntriangles@primary'] = 1000
b['ntriangles@secondary'] = 1000
# data=np.array([
# [0.06408226820591345, 0.9602671797842749, 0.9594889996490671],
# [0.07217726820055859, 0.9602935274506741, 0.961169541515931],
# [0.08508226820655374, 0.9603522735186585, 0.9601078045256515],
# [0.09217726820463312, 0.9604130847103299, 0.9612580725791999],
# [0.10608226819991806, 0.9605309462466235, 0.9593122715214302],
# [0.1131772682052734, 0.9605714350758937, 0.9616122783836647],
# [0.12708226820055835, 0.9607094935255753, 0.9593122715214302],
# [0.1341772682059137, 0.9607607863257719, 0.9613466117968567],
# [0.14708226820463288, 0.9624753486875852, 0.9604615864776328],# x
# [0.15517726820655398, 0.9610153621768093, 0.9627643488891963],
# [0.16808226820527317, 0.9611696674479447, 0.9591355759453193],
# [0.1761772681999183, 0.9627179390744364, 0.9621438318271684],# x
# [0.18908226820591345, 0.9629045969450848, 0.9607270084891201],# x
# [0.1971772682005586, 0.9614860681118392, 0.9632078203620027],
# [0.21008226820655374, 0.9616477664000752, 0.9610810186062989],
# [0.21717726820463312, 0.9617170359138295, 0.9640065838447285],
# [0.23108226819991806, 0.9619185236930053, 0.9608154987917139],
# [0.2381772682052734, 0.9620368162918097, 0.963474001290798],
# [0.25208226820055835, 0.9622600967878215, 0.9616122783836647],
# [0.2591772682059137, 0.962434085232735, 0.9640065838447285]
# ])
# timesli=data[:,0]
# models=data[:,1]
# sapi=data[:,2]
# esap=sapi*0.0+1e-3
timesli = np.linspace(0,1,100)
sapi = np.linspace(0.96,0.97,100)
esap=sapi*0.0+1e-3
phaseli=((timesli-b.get_value('t0_supconj@binary@orbit@component'))%period)/period
b.add_dataset('lc', overwrite=True,passband= 'TESS:T',
compute_phases=phaseli,
times=timesli,
fluxes=sapi,
sigmas=esap,
dataset='lc01')
b.set_value('atm', component='primary', value='blackbody')
b.set_value('atm', component='secondary', value='blackbody')
b.set_value('ld_mode', dataset='lc01', component='primary', value='manual')
b.set_value('ld_mode', dataset='lc01', component='secondary', value='manual')
b.add_dataset('mesh', times=timesli, columns=['teffs', 'intensities@lc01'])
b.set_value_all('pblum_mode', 'dataset-scaled')
b.run_compute()
fluxes_horvat = b.get_value('fluxes', context='model')
fig1=plt.figure()#figsize=[8,12])
b['lc01@model'].plot( fig=fig1,save="time_lc.png")
plt.clf()
b["mesh@model"].plot(x='us', y='vs', fc='intensities',
animate=True, save='single_spots_1.gif', save_kwargs={'writer': 'imagemagick'})
mvelavok
kecnry
Hello PHOEBE team!
I found strange behavior of PHOEBE 2.3 during modelling of the TESS light curve. LC shows 0.15% spikes, which originates from changes in spot shape. I attach script that will generate plots, where such spikes are clearly visible at times 0.147,0.176,0,189 d,
I think that it is due to the finite mesh resolution and very dense phase coverage. Is it possible to make spot to always use same set of triangles in the mesh?
regards,
Mikhail