1.3 MiB
1.3 MiB
In [1]:
%matplotlib widget isdark = False from rayoptics.environment import *
In [2]:
opm = OpticalModel() sm = opm['seq_model'] osp = opm['optical_spec'] pm = opm['parax_model'] osp['pupil'] = PupilSpec(osp, key=['object', 'pupil'], value=16) osp['fov'] = FieldSpec(osp, key=['object', 'angle'], value=0.5, flds=[0., 0.707, 1.], is_relative=True) osp['wvls'] = WvlSpec([('F', 0.5), (587.5618, 1.0), ('C', 0.5)], ref_wl=1) opm.radius_mode = True sm.gaps[0].thi=1e10 def calc_curvature(n, fl): return (n-1)*fl n_bk7 = 1.5168 n_lasf9 = 1.85025 n_f2 = 1.62005 v_bk7 = 64.17 v_lasf9 = 32.16 v_f2 = 36.43 # try for chaining a 3x telescope setup with a second 3x telescope setup f0 = 150 f0_0 = (v_bk7-v_f2)*f0/v_bk7 f0_1 = -f0_0*v_bk7/v_f2 f0_actual = 1/(1/f0_0+1/f0_1) f1 = 40 # 1/f = 1/f0 + 1/f1 = 1/f0 - v2/(f0*v1) = (v1-v2)/(v1*f0) # f0 = (v1-v2)*f/v1 f1_0 = (v_bk7-v_f2)*f1/v_bk7 f1_1 = -f1_0*v_bk7/v_f2 print(f0_actual, f1_0, f1_1) f2 = 150 f3 = 50 f1_stacked = 2*f1 r0 = calc_curvature(n_lasf9, f0) r0_0 = calc_curvature(n_bk7, f0_0) r0_1 = calc_curvature(n_f2, f0_1) r1 = calc_curvature(n_lasf9, f1) r1_0 = calc_curvature(n_bk7, f1_0) r1_1 = calc_curvature(n_f2, f1_1) r2 = calc_curvature(n_lasf9, f2) r3 = calc_curvature(n_lasf9, f3) sm.add_surface([r0_0, 2, 'N-BK7', 'Schott', 42/2]) sm.add_surface([1e9, 2, 'N-F2', 'Schott', 42/2]) #sm.add_surface([-r0_1, 180+2*f1]) sm.add_surface([-r0_1, 180+2*36.]) #sm.add_surface([r1_0, 6, 'N-BK7', 'Schott', 16]) #sm.add_surface([1e9, 2, 'N-F2', 'Schott', 16]) #sm.add_surface([-r1_1, 30]) #sm.add_surface([1e9, 2, 'N-LASF9', 'Schott', 16]) #sm.add_surface([-r1, f2+f3]) #sm.add_surface([r2, 2, 'N-LASF9', 'Schott', 16]) #sm.add_surface([1e9, f2+f3]) #sm.add_surface([1e9, 2, 'N-LASF9', 'Schott', 16]) #sm.add_surface([-r3, f3])
150.0 17.29156926912888 -30.45841339555312
In [3]:
opm.update_model() layout_plt = plt.figure(FigureClass=InteractiveLayout, opt_model=opm, is_dark=isdark).plot()
Figure
In [4]:
pm.first_order_data()
efl 142.6 ffl -145.8 pp1 -3.188 bfl 137 ppk 5.616 f/# 8.914 m -1.426e-08 red -7.011e+07 obj_dist 1e+10 obj_ang 0.5 enp_dist -0 enp_radius 8 na obj 8e-10 n obj 1 img_dist 137 img_ht 1.245 exp_dist -117.5 exp_radius 7.825 na img -0.056 n img 1 optical invariant 0.06981
In [5]:
# add a focusing mirror #sm.add_surface([100, 2, 1.85, 16]) #sm.add_surface([1e9, 36]) opm.update_model() opm.seq_model.gaps[-1].thi = opm.optical_spec.parax_data.fod.bfl - 9 opm.update_model() layout_plt = plt.figure(FigureClass=InteractiveLayout, opt_model=opm, is_dark=isdark).plot()
Figure
In [6]:
#opm.seq_model.gaps[-1].thi -= 0.1 opm.update_model() #spot_plt = plt.figure(FigureClass=SpotDiagramFigure, opt_model=opm, scale_type=Fit.User_Scale, # user_scale_value=0.1, is_dark=isdark).plot() abr_plt = plt.figure(FigureClass=RayFanFigure, opt_model=opm, data_type='Ray', scale_type=Fit.All_Same).plot() opm.seq_model.gaps[-1].thi
Out[6]:
128.01040075032165
Figure
In [7]:
#opm.seq_model.gaps[-1].thi -= 0.1 opm.update_model() spot_plt = plt.figure(FigureClass=SpotDiagramFigure, opt_model=opm, is_dark=isdark).plot() opm.seq_model.gaps[-1].thi
Out[7]:
128.01040075032165
Figure
In [8]:
layout_plt = plt.figure(FigureClass=InteractiveLayout, opt_model=opm, is_dark=isdark).plot()
Figure
In [9]:
def dump_pts(p, wi, ray_pkg, fld, wvl, foc): if ray_pkg is not None: ray = ray_pkg[0][-1] return ray_pkg[0][-1][0] sm.trace_grid(dump_pts, 0, form='list', append_if_none=False)
Out[9]:
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['#268bd2', '#859900', '#dc322f'])
In [10]:
def dump_dist(p, wi, ray_pkg, fld, wvl, foc): if ray_pkg is not None: image_pt = fld.ref_sphere[0] ray = ray_pkg[0] dist = foc / ray[-1][1][2] defocused_pt = ray[-1][0] + dist*ray[-1][1] t_abr = defocused_pt - image_pt return np.sqrt(np.sum(t_abr*t_abr)) spot_rms = np.sqrt(np.mean(np.square(sm.trace_grid(dump_dist, 0, form='list', append_if_none=False)[0]), axis=1)) print(spot_rms)
[0.25976753 0.26472785 0.27037767]
In [11]:
def spot_rms(sm): return np.sqrt(np.mean(np.square(sm.trace_grid(dump_dist, 0, form='list', append_if_none=False)[0]), axis=1)) ''' def calc_focus(opm, sm): old_gap = opm.seq_model.gaps[-1].thi offsets = np.linspace(-20, 20, 100) spots = np.zeros(offsets.shape) for i in range(offsets.shape[0]): opm.seq_model.gaps[-1].thi = opm.optical_spec.parax_data.fod.bfl + offsets[i] opm.update_model() spots[i] = np.sum(spot_rms(sm)) opm.seq_model.gaps[-1].thi = old_gap opm.update_model() return offsets[np.argmin(spots)] f = calc_focus(opm, sm) print(f) '''
Out[11]:
'\ndef calc_focus(opm, sm):\n old_gap = opm.seq_model.gaps[-1].thi\n offsets = np.linspace(-20, 20, 100)\n spots = np.zeros(offsets.shape)\n for i in range(offsets.shape[0]):\n opm.seq_model.gaps[-1].thi = opm.optical_spec.parax_data.fod.bfl + offsets[i]\n opm.update_model()\n spots[i] = np.sum(spot_rms(sm))\n opm.seq_model.gaps[-1].thi = old_gap\n opm.update_model()\n \n return offsets[np.argmin(spots)]\n\nf = calc_focus(opm, sm)\nprint(f)\n'
In [12]:
opm.seq_model.gaps[-1].thi = opm.optical_spec.parax_data.fod.bfl - 6.6666 opm.update_model() spot_plt = plt.figure(FigureClass=SpotDiagramFigure, opt_model=opm, is_dark=isdark).plot() print(spot_rms(sm))
[0.16672045 0.1716864 0.1773614 ]
Figure
In [13]:
import rayoptics.optical.model_constants as mc old_gap = opm.seq_model.gaps[-1].thi offsets = np.linspace(-20, 20, 1000) opm.seq_model.gaps[-1].thi = opm.optical_spec.parax_data.fod.bfl opm.update_model() def dump_rays(p, wi, ray_pkg, fld, wvl, foc): if ray_pkg is not None: image_pt = fld.ref_sphere[0] ray = ray_pkg[mc.ray] v = ray[-1][mc.d][0:2] / ray[-1][mc.d][2] return [ray[-1][mc.p][0:2] - image_pt[0:2], v] vals, colors = sm.trace_grid(dump_rays, 0, form='list', append_if_none=False) v1, v2, v3 = vals v1_p = v1[:,0] v1_v = v1[:,1] v2_p = v2[:,0] v2_v = v2[:,1] v3_p = v3[:,0] v3_v = v3[:,1] v1_rms = np.zeros(offsets.size) v2_rms = np.zeros(offsets.size) v3_rms = np.zeros(offsets.size) for i in range(offsets.size): v1_rms[i] = np.sqrt(np.mean(np.square(v1_p+v1_v*offsets[i]))) v2_rms[i] = np.sqrt(np.mean(np.square(v2_p+v2_v*offsets[i]))) v3_rms[i] = np.sqrt(np.mean(np.square(v3_p+v3_v*offsets[i]))) opm.seq_model.gaps[-1].thi = old_gap opm.update_model() plt.figure() plt.plot(offsets, v1_rms, color=colors[0]) plt.plot(offsets, v2_rms, color=colors[1]) plt.plot(offsets, v3_rms, color=colors[2]) plt.show() min_b, min_g, min_r = (offsets[np.argmin(v1_rms)], offsets[np.argmin(v2_rms)], offsets[np.argmin(v3_rms)]) min_b, min_g, min_r
Figure
Out[13]:
(-2.6626626626626617, -2.5025025025025016, -2.3823823823823815)
In [14]:
opm.seq_model.gaps[-1].thi = opm.optical_spec.parax_data.fod.bfl + min_r opm.update_model() spot_plt = plt.figure(FigureClass=SpotDiagramFigure, opt_model=opm, is_dark=isdark).plot() print(spot_rms(sm))
[0.03725505 0.03611947 0.03574278]
Figure
In [15]:
opm.seq_model.gaps[-1].thi = opm.optical_spec.parax_data.fod.bfl + min_g opm.update_model() spot_plt = plt.figure(FigureClass=SpotDiagramFigure, opt_model=opm, is_dark=isdark).plot() print(spot_rms(sm))
[0.03617745 0.03572421 0.03615391]
Figure
In [16]:
opm.seq_model.gaps[-1].thi = opm.optical_spec.parax_data.fod.bfl + min_b opm.update_model() spot_plt = plt.figure(FigureClass=SpotDiagramFigure, opt_model=opm, is_dark=isdark).plot() print(spot_rms(sm))
[0.03573303 0.03621866 0.03768028]
Figure
In [17]:
abr_plt = plt.figure(FigureClass=RayFanFigure, opt_model=opm, data_type='Ray', scale_type=Fit.All_Same).plot()
Figure
In [ ]: