diff --git a/.gitignore b/.gitignore index e951d911..1265ec97 100644 --- a/.gitignore +++ b/.gitignore @@ -53,6 +53,7 @@ examples/example_16/*_out.yaml # Temporary tasks: DEV +sandbox # Latex files: *.aux diff --git a/README.md b/README.md index a5b95e8a..e372cda1 100644 --- a/README.md +++ b/README.md @@ -6,9 +6,9 @@ [**Detailed documentation: https://rpoleski.github.io/MulensModel/**](https://rpoleski.github.io/MulensModel/) -[Latest release: 2.17.0](https://github.com/rpoleski/MulensModel/releases/latest) and we're working on further developing the code. +[Latest release: 2.18.0](https://github.com/rpoleski/MulensModel/releases/latest) and we're working on further developing the code. -MulensModel can generate a microlensing light curve for a given set of microlensing parameters, fit that light curve to some data, and return a chi2 value. That chi2 can then be input into an arbitrary likelihood function to find the best-fit parameters. +MulensModel can generate a microlensing light curve for a given set of microlensing parameters, fit that light curve to some data, and return a chi2 value. That chi2 (and its gradient in some cases) can then be input into an arbitrary likelihood function to find the best-fit parameters. If you want to learn more about microlensing, please visit [Microlensing Source website](http://microlensing-source.org/). @@ -62,4 +62,4 @@ If you want to contribute to MulensModel, then please see [this file](CONTRIBUTI ![example workflow](https://github.com/rpoleski/MulensModel/actions/workflows/python-app.yml/badge.svg) [![Coverage Status](https://codecov.io/gh/rpoleski/MulensModel/branch/master/graph/badge.svg)](https://codecov.io/gh/rpoleski/MulensModel) -file revised Jul 2023 +file revised Sep 2023 diff --git a/data/ephemeris_files/Spitzer_ephemeris_03.dat b/data/ephemeris_files/Spitzer_ephemeris_03.dat new file mode 100644 index 00000000..93b86907 --- /dev/null +++ b/data/ephemeris_files/Spitzer_ephemeris_03.dat @@ -0,0 +1,3215 @@ +******************************************************************************* + Revised: Oct 15, 2018 Spitzer Space Telescope (SST) / (Sun) -79 + http://spitzer.caltech.edu/ + + Spitzer Space Telescope + Launched: Aug 25, 2003 + Renamed : Dec 18, 2003 (formerly "SIRTF": Space Infrared Telescope Facility) + + EXTENDED MISSION (2009-present): + Cryogen depletion is expected to occur in April 2009. A 2-year extended + "warm" mission will continue operating the 3.6 and 4.5 micron channels on the + IRAC instrument with expected sensitivity unchanged from performance in the + cryogenic mission. The longer wavelength IRAC channels (5.6 and 8.0 microns) + and the MIPS and IRS instruments will be unavailable. + + PRIME MISSION (2003-2009): + Spitzer will obtain images and spectra by detecting infrared (heat) energy, + having wavelengths of 3 and 180 microns, radiated by objects in space. Most + of this infrared radiation is blocked by the Earth's atmosphere and cannot be + observed from the ground. The telescope must be cooled to near absolute zero + (-459 degrees F, or -273 degrees Celsius) to record infrared from distant + regions of space without interference from the telescope's own heat. + + SPACECRAFT: + 0.85-meter telescope + 3 cryogenically-cooled science instruments + 2 solar panels composed of 392 solar cells, producing 427 Watts. + Each solar cell is 5.5 x 6.5 cm. Each panel is 50% covered by solar cells, + and 50% covered by optical reflectors to reduce panel temp to 330 K. + Spitzer cannot point more than 120 degrees away from the sun and maintain + adequate power levels. + + SPACECRAFT TRAJECTORY: + Post-launch trajectory "sst_030825_181015_220101" + + This orbit solution is based on 2-way doppler tracking data through + 2018-Oct-14. The trajectory after that date is the nominal prediction. +******************************************************************************* + + +******************************************************************************* +Ephemeris / WWW_USER Fri Mar 8 22:17:53 2019 Pasadena, USA / Horizons +******************************************************************************* +Target body name: Spitzer Space Telescope (-79) {source: sst_030825_181015_220101} +Center body name: Earth (399) {source: sst_030825_181015_220101} +Center-site name: GEOCENTRIC +******************************************************************************* +Start time : A.D. 2013-Jun-01 12:00:00.0000 UT +Stop time : A.D. 2017-Nov-02 10:00:00.0000 UT +Step-size : 1440 minutes + +Start time : A.D. 2018-Jan-01 00:00:00.0000 UT +Stop time : A.D. 2018-Dec-31 00:00:00.0000 UT +Step-size : 360 minutes +******************************************************************************* +Target pole/equ : No model available +Target radii : (unavailable) +Center geodetic : 0.00000000,0.00000000,0.0000000 {E-lon(deg),Lat(deg),Alt(km)} +Center cylindric: 0.00000000,0.00000000,0.0000000 {E-lon(deg),Dxy(km),Dz(km)} +Center pole/equ : High-precision EOP model {East-longitude positive} +Center radii : 6378.1 x 6378.1 x 6356.8 km {Equator, meridian, pole} +Target primary : Earth +Vis. interferer : MOON (R_eq= 1737.400) km {source: sst_030825_181015_22 +Rel. light bend : Sun, EARTH {source: sst_030825_181015_22 +Rel. lght bnd GM: 1.3271E+11, 3.9860E+05 km^3/s^2 +Atmos refraction: NO (AIRLESS) +RA format : HMS +Time format : CAL +EOP file : eop.190307.p190529 +EOP coverage : DATA-BASED 1962-JAN-20 TO 2019-MAR-07. PREDICTS-> 2019-MAY-28 +Units conversion: 1 au= 149597870.700 km, c= 299792.458 km/s, 1 day= 86400.0 s +Table cut-offs 1: Elevation (-90.0deg=NO ),Airmass (>38.000=NO), Daylight (NO ) +Table cut-offs 2: Solar elongation ( 0.0,180.0=NO ),Local Hour Angle( 0.0=NO ) +Table cut-offs 3: RA/DEC angular rate ( 0.0=NO ) +************************************************************************************** + Date__(UT)__HR:MN R.A._(ICRF/J2000.0)_DEC delta deldot 1-way_LT +************************************************************************************** +$$SOE + 2013-Jun-01 12:00 08 26 37.19 +18 30 37.4 1.18920300729648 -0.3874637 9.890300 + 2013-Jun-02 12:00 08 30 34.15 +18 15 57.2 1.18897839140816 -0.3903285 9.888432 + 2013-Jun-03 12:00 08 34 30.46 +18 00 58.8 1.18875206830763 -0.3933761 9.886549 + 2013-Jun-04 12:00 08 38 26.12 +17 45 42.4 1.18852392860425 -0.3966203 9.884652 + 2013-Jun-05 12:00 08 42 21.13 +17 30 08.3 1.18829386037323 -0.4000518 9.882739 + 2013-Jun-06 12:00 08 46 15.49 +17 14 16.9 1.18806176006928 -0.4036533 9.880808 + 2013-Jun-07 12:00 08 50 09.20 +16 58 08.4 1.18782753679694 -0.4073972 9.878860 + 2013-Jun-08 12:00 08 54 02.27 +16 41 43.3 1.18759111850793 -0.4112473 9.876894 + 2013-Jun-09 12:00 08 57 54.68 +16 25 01.8 1.18735245535401 -0.4151630 9.874909 + 2013-Jun-10 12:00 09 01 46.45 +16 08 04.3 1.18711152314052 -0.4190956 9.872905 + 2013-Jun-11 12:00 09 05 37.58 +15 50 51.1 1.18686832876189 -0.4229883 9.870883 + 2013-Jun-12 12:00 09 09 28.07 +15 33 22.6 1.18662290850264 -0.4267919 9.868842 + 2013-Jun-13 12:00 09 13 17.92 +15 15 39.0 1.18637533305875 -0.4304404 9.866783 + 2013-Jun-14 12:00 09 17 07.13 +14 57 40.9 1.18612571083910 -0.4338673 9.864707 + 2013-Jun-15 12:00 09 20 55.72 +14 39 28.4 1.18587419102516 -0.4369979 9.862615 + 2013-Jun-16 12:00 09 24 43.68 +14 21 02.0 1.18562096858198 -0.4397476 9.860509 + 2013-Jun-17 12:00 09 28 31.02 +14 02 21.9 1.18536629068160 -0.4420207 9.858391 + 2013-Jun-18 12:00 09 32 17.74 +13 43 28.7 1.18511046348214 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12:00 19 53 01.73 -20 44 47.6 1.67985191238647 1.0951016 13.970902 + 2018-Dec-14 18:00 19 54 03.41 -20 41 50.8 1.68001009501930 1.0958752 13.972218 + 2018-Dec-15 00:00 19 55 05.04 -20 38 52.7 1.68016838957322 1.0966520 13.973534 + 2018-Dec-15 06:00 19 56 06.64 -20 35 53.2 1.68032679659185 1.0974331 13.974852 + 2018-Dec-15 12:00 19 57 08.19 -20 32 52.3 1.68048531674941 1.0982193 13.976170 + 2018-Dec-15 18:00 19 58 09.70 -20 29 50.1 1.68064395085291 1.0990115 13.977490 + 2018-Dec-16 00:00 19 59 11.17 -20 26 46.5 1.68080269984465 1.0998108 13.978810 + 2018-Dec-16 06:00 20 00 12.60 -20 23 41.6 1.68096156480449 1.1006180 13.980131 + 2018-Dec-16 12:00 20 01 13.98 -20 20 35.3 1.68112054695217 1.1014341 13.981453 + 2018-Dec-16 18:00 20 02 15.33 -20 17 27.8 1.68127964764935 1.1022602 13.982776 + 2018-Dec-17 00:00 20 03 16.62 -20 14 18.9 1.68143886840127 1.1030972 13.984101 + 2018-Dec-17 06:00 20 04 17.88 -20 11 08.6 1.68159821085798 1.1039461 13.985426 + 2018-Dec-17 12:00 20 05 19.09 -20 07 57.1 1.68175767681477 1.1048079 13.986752 + 2018-Dec-17 18:00 20 06 20.26 -20 04 44.2 1.68191726821193 1.1056837 13.988079 + 2018-Dec-18 00:00 20 07 21.38 -20 01 30.0 1.68207698713324 1.1065745 13.989408 + 2018-Dec-18 06:00 20 08 22.46 -19 58 14.5 1.68223683580349 1.1074811 13.990737 + 2018-Dec-18 12:00 20 09 23.50 -19 54 57.8 1.68239681658435 1.1084045 13.992068 + 2018-Dec-18 18:00 20 10 24.49 -19 51 39.7 1.68255693196881 1.1093456 13.993399 + 2018-Dec-19 00:00 20 11 25.43 -19 48 20.3 1.68271718457365 1.1103053 13.994732 + 2018-Dec-19 06:00 20 12 26.34 -19 44 59.7 1.68287757712997 1.1112842 13.996066 + 2018-Dec-19 12:00 20 13 27.20 -19 41 37.7 1.68303811247153 1.1122831 13.997401 + 2018-Dec-19 18:00 20 14 28.01 -19 38 14.5 1.68319879352079 1.1133025 13.998738 + 2018-Dec-20 00:00 20 15 28.78 -19 34 50.0 1.68335962327243 1.1143428 14.000075 + 2018-Dec-20 06:00 20 16 29.50 -19 31 24.3 1.68352060477454 1.1154044 14.001414 + 2018-Dec-20 12:00 20 17 30.18 -19 27 57.3 1.68368174110706 1.1164874 14.002754 + 2018-Dec-20 18:00 20 18 30.82 -19 24 29.0 1.68384303535788 1.1175918 14.004095 + 2018-Dec-21 00:00 20 19 31.40 -19 20 59.5 1.68400449059649 1.1187172 14.005438 + 2018-Dec-21 06:00 20 20 31.95 -19 17 28.8 1.68416610984553 1.1198634 14.006782 + 2018-Dec-21 12:00 20 21 32.45 -19 13 56.8 1.68432789605018 1.1210296 14.008128 + 2018-Dec-21 18:00 20 22 32.90 -19 10 23.6 1.68448985204620 1.1222150 14.009475 + 2018-Dec-22 00:00 20 23 33.31 -19 06 49.1 1.68465198052647 1.1234185 14.010823 + 2018-Dec-22 06:00 20 24 33.67 -19 03 13.4 1.68481428400700 1.1246387 14.012173 + 2018-Dec-22 12:00 20 25 33.99 -18 59 36.5 1.68497676479270 1.1258741 14.013524 + 2018-Dec-22 18:00 20 26 34.26 -18 55 58.4 1.68513942494343 1.1271228 14.014877 + 2018-Dec-23 00:00 20 27 34.48 -18 52 19.1 1.68530226624116 1.1283828 14.016232 + 2018-Dec-23 06:00 20 28 34.67 -18 48 38.6 1.68546529015869 1.1296519 14.017587 + 2018-Dec-23 12:00 20 29 34.80 -18 44 56.8 1.68562849783050 1.1309276 14.018945 + 2018-Dec-23 18:00 20 30 34.89 -18 41 13.9 1.68579189002658 1.1322073 14.020304 + 2018-Dec-24 00:00 20 31 34.93 -18 37 29.8 1.68595546712932 1.1334882 14.021664 + 2018-Dec-24 06:00 20 32 34.93 -18 33 44.5 1.68611922911436 1.1347676 14.023026 + 2018-Dec-24 12:00 20 33 34.89 -18 29 58.0 1.68628317553541 1.1360424 14.024390 + 2018-Dec-24 18:00 20 34 34.79 -18 26 10.4 1.68644730551334 1.1373095 14.025755 + 2018-Dec-25 00:00 20 35 34.65 -18 22 21.6 1.68661161772993 1.1385661 14.027121 + 2018-Dec-25 06:00 20 36 34.47 -18 18 31.6 1.68677611042591 1.1398089 14.028489 + 2018-Dec-25 12:00 20 37 34.24 -18 14 40.5 1.68694078140350 1.1410349 14.029859 + 2018-Dec-25 18:00 20 38 33.97 -18 10 48.2 1.68710562803297 1.1422413 14.031230 + 2018-Dec-26 00:00 20 39 33.65 -18 06 54.8 1.68727064726339 1.1434252 14.032602 + 2018-Dec-26 06:00 20 40 33.28 -18 03 00.2 1.68743583563653 1.1445837 14.033976 + 2018-Dec-26 12:00 20 41 32.87 -17 59 04.5 1.68760118930423 1.1457143 14.035351 + 2018-Dec-26 18:00 20 42 32.42 -17 55 07.7 1.68776670404813 1.1468144 14.036728 + 2018-Dec-27 00:00 20 43 31.92 -17 51 09.7 1.68793237530174 1.1478817 14.038106 + 2018-Dec-27 06:00 20 44 31.37 -17 47 10.6 1.68809819817405 1.1489141 14.039485 + 2018-Dec-27 12:00 20 45 30.78 -17 43 10.4 1.68826416747445 1.1499096 14.040865 + 2018-Dec-27 18:00 20 46 30.14 -17 39 09.1 1.68843027773834 1.1508663 14.042246 + 2018-Dec-28 00:00 20 47 29.46 -17 35 06.7 1.68859652325304 1.1517827 14.043629 + 2018-Dec-28 06:00 20 48 28.73 -17 31 03.1 1.68876289808375 1.1526573 14.045013 + 2018-Dec-28 12:00 20 49 27.96 -17 26 58.5 1.68892939609906 1.1534887 14.046397 + 2018-Dec-28 18:00 20 50 27.15 -17 22 52.8 1.68909601099593 1.1542760 14.047783 + 2018-Dec-29 00:00 20 51 26.28 -17 18 46.0 1.68926273632374 1.1550182 14.049170 + 2018-Dec-29 06:00 20 52 25.38 -17 14 38.2 1.68942956550739 1.1557144 14.050557 + 2018-Dec-29 12:00 20 53 24.43 -17 10 29.2 1.68959649186928 1.1563641 14.051946 + 2018-Dec-29 18:00 20 54 23.43 -17 06 19.2 1.68976350864995 1.1569668 14.053335 + 2018-Dec-30 00:00 20 55 22.39 -17 02 08.2 1.68993060902772 1.1575220 14.054724 + 2018-Dec-30 06:00 20 56 21.30 -16 57 56.0 1.69009778613681 1.1580295 14.056115 + 2018-Dec-30 12:00 20 57 20.17 -16 53 42.9 1.69026503308440 1.1584893 14.057506 + 2018-Dec-30 18:00 20 58 19.00 -16 49 28.6 1.69043234296637 1.1589013 14.058897 + 2018-Dec-31 00:00 20 59 17.78 -16 45 13.4 1.69059970888200 1.1592655 14.060289 +$$EOE +************************************************************************************** +Column meaning: + +TIME + + Times PRIOR to 1962 are UT1, a mean-solar time closely related to the +prior but now-deprecated GMT. Times AFTER 1962 are in UTC, the current +civil or "wall-clock" time-scale. UTC is kept within 0.9 seconds of UT1 +by introduction of integer leap-seconds for 1972 and later. + + Conversion from the internal TDB timescale to the non-uniform UT time-scale +requested for output has not been determined for UTC times after the next +July or January 1st. Therefore, the last known leap-second is used as a +constant over future intervals. + + Time tags refer to the UT time on Earth, regardless of where the observer +is located in the solar system. For example, if an observation from the +surface of another body has an output time-tag of 12:31:00 UT, it refers to +a time-scale conversion from TDB to UT valid at the center of the Earth, +not the actual observer location elsewhere in the solar system, where clock +rates may differ slightly due to the local spacetime metric and there is no +precisely defined or adopted "UT" analog. + + Any 'b' symbol in the 1st-column denotes a B.C. date. First-column blank +(" ") denotes an A.D. date. Calendar dates prior to 1582-Oct-15 are in the +Julian calendar system. Later calendar dates are in the Gregorian system. + + NOTE: "n.a." in output means quantity "not available" at the print-time. + + R.A._(ICRF/J2000.0)_DEC = + Astrometric right ascension and declination of the TARGET CENTER with +respect to the observing site in the coordinates of the ICRF/J2000 inertial +reference frame. Compensated for down-leg light-time. + Units: RA in hours-minutes-seconds of time (HH MM SS.ff), + DEC in angular degrees-minutes-seconds (DD MM SS.f) + + delta deldot = + Range ("delta") and range-rate ("delta-dot") of target center with respect +to the observer at the instant light seen by the observer at print-time would +have left the target center (print-time minus down-leg light-time); the +distance traveled by a light ray emanating from the center of the target and +recorded by the observer at print-time. "deldot" is a projection of the +velocity vector along this ray, the light-time-corrected line-of-sight from the +coordinate center, and indicates relative motion. A positive "deldot" means the +target center is moving away from the observer (coordinate center). A negative +"deldot" means the target center is moving toward the observer. +Units: AU and KM/S + + 1-way_LT = + 1-way down-leg light-time from target center to observer. The elapsed time +since light (observed at print-time) would have left or reflected off a point +at the center of the target. Units: MINUTES + + + Computations by ... + Solar System Dynamics Group, Horizons On-Line Ephemeris System + 4800 Oak Grove Drive, Jet Propulsion Laboratory + Pasadena, CA 91109 USA + Information: http://ssd.jpl.nasa.gov/ + Connect : telnet://ssd.jpl.nasa.gov:6775 (via browser) + telnet ssd.jpl.nasa.gov 6775 (via command-line) + Author : Jon.D.Giorgini@jpl.nasa.gov + +************************************************************************************** \ No newline at end of file diff --git a/data/interpolation_table_b0b1_v2.dat b/data/interpolation_table_b0b1_v2.dat new file mode 100644 index 00000000..26b365cf --- /dev/null +++ b/data/interpolation_table_b0b1_v2.dat @@ -0,0 +1,3010 @@ +# z, b0(z), b0(z)-b1(z), b1(z), b0'(z), b1'(z) +# +# in Yoo et al. 2004 https://ui.adsabs.harvard.edu/abs/2004ApJ...603..139Y/abstract +# notation +# +# Prepared by Radek Poleski and Jennifer Yee +0.000000000000000000e+00 0.000000000000000000e+00 0.000000000000000000e+00 0.000000000000000000e+00 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8482.0000000000000 -0.10504542083846186 -1.1123337874419328 -1.2675690517585048 + 8483.0000000000000 -0.10387605865627186 -1.1343707493513064 -1.2488913872127529 diff --git a/source/MulensModel/__init__.py b/source/MulensModel/__init__.py index cf306af9..8ecf24d6 100644 --- a/source/MulensModel/__init__.py +++ b/source/MulensModel/__init__.py @@ -18,6 +18,7 @@ from MulensModel.orbits import * from MulensModel.pointlens import PointLens, get_pspl_magnification from MulensModel.pointlenswithshear import PointLensWithShear +from MulensModel.pointlensfinitesource import PointLensFiniteSource from MulensModel.satelliteskycoord import SatelliteSkyCoord from MulensModel.trajectory import Trajectory from MulensModel.uniformcausticsampling import UniformCausticSampling diff --git a/source/MulensModel/event.py b/source/MulensModel/event.py index 5938b652..59634d17 100644 --- a/source/MulensModel/event.py +++ b/source/MulensModel/event.py @@ -357,7 +357,7 @@ def plot_data( # Get fluxes for the reference dataset (f_source_0, f_blend_0) = self.get_flux_for_dataset(data_ref) for (i, data) in enumerate(self._datasets): - # Scale the data flue + # Scale the data flux (flux, err_flux) = self.fits[i].scale_fluxes(f_source_0, f_blend_0) (y_value, y_err) = PlotUtils.get_y_value_y_err( phot_fmt, flux, err_flux) @@ -392,33 +392,22 @@ def plot_residuals( """ self._set_default_colors() - if data_ref is None: data_ref = self.data_ref - # Plot limit parameters - t_min = 3000000. - t_max = 0. subtract = PlotUtils.find_subtract(subtract_2450000, subtract_2460000) - # Plot zeropoint line - plt.plot([0., 3000000.], [0., 0.], color='black') + fluxes = self.get_flux_for_dataset(data_ref) + kwargs_residuals = {'phot_fmt': 'scaled', 'bad': False, + 'source_flux': fluxes[0], 'blend_flux': fluxes[1]} + if show_bad: + kwargs_residuals['bad']: True # Plot residuals - (f_source_0, f_blend_0) = self.get_flux_for_dataset(data_ref) - for i, data in enumerate(self._datasets): - # Evaluate whether or nor it is necessary to calculate the model - # for bad datapoints. - if show_bad: - bad = True - else: - bad = False - - (residuals, errorbars) = self.fits[i].get_residuals( - phot_fmt='scaled', source_flux=f_source_0, - blend_flux=f_blend_0, bad=bad) - y_value = residuals - y_err = errorbars + t_min = np.min(self._datasets[0].time) + t_max = np.max(self._datasets[0].time) + for (fit, data) in zip(self.fits, self._datasets): + (y_value, y_err) = fit.get_residuals(**kwargs_residuals) data._plot_datapoints( (y_value, y_err), subtract_2450000=subtract_2450000, subtract_2460000=subtract_2460000, @@ -432,6 +421,7 @@ def plot_residuals( if y_lim > 1.: y_lim = 0.5 + plt.axhline(0, color='black', zorder=0) plt.ylim(y_lim, -y_lim) plt.xlim(t_min-subtract, t_max-subtract) plt.ylabel('Residuals') diff --git a/source/MulensModel/fitdata.py b/source/MulensModel/fitdata.py index 3f19e73a..4020a653 100644 --- a/source/MulensModel/fitdata.py +++ b/source/MulensModel/fitdata.py @@ -1,9 +1,7 @@ import numpy as np import warnings -from MulensModel.mulensdata import MulensData -from MulensModel.trajectory import Trajectory -from MulensModel.utils import Utils +import MulensModel as mm class FitData(object): @@ -88,6 +86,8 @@ def __init__(self, model=None, dataset=None, fix_blend_flux=False, self._chi2_per_point = None self._chi2 = None + self._data_magnification = None + def _check_for_flux_ratio_errors(self): """ If combination of settings and models are invalid, raise exceptions. @@ -226,6 +226,7 @@ def _setup_linalg_arrays(self): return (xT, y) def _create_arrays(self): + """ Create x and y arrays""" # Initializations self.n_fluxes = 0 n_epochs = np.sum(self._dataset.good) @@ -410,7 +411,7 @@ def get_model_magnitudes(self, **kwargs): The model magnitude evaluated for each datapoint. """ model_flux = self.get_model_fluxes(**kwargs) - model_mag = Utils.get_mag_from_flux(model_flux) + model_mag = mm.Utils.get_mag_from_flux(model_flux) return model_mag @@ -516,9 +517,10 @@ def get_residuals( model_flux = source_flux[0] * magnification[0] model_flux += source_flux[1] * magnification[1] model_flux += blend_flux - model_mag = Utils.get_mag_from_flux(model_flux) + model_mag = mm.Utils.get_mag_from_flux(model_flux) (flux, err_flux) = self.scale_fluxes(source_flux, blend_flux) - (mag, errorbars) = Utils.get_mag_and_err_from_flux(flux, err_flux) + (mag, errorbars) = mm.Utils.get_mag_and_err_from_flux( + flux, err_flux) residuals = mag - model_mag else: raise ValueError( @@ -535,7 +537,7 @@ def _check_for_gradient_implementation(self, parameters): # Implemented for the requested parameters? if not isinstance(parameters, list): parameters = [parameters] - implemented = {'t_0', 't_E', 'u_0', 't_eff', 'pi_E_N', 'pi_E_E'} + implemented = {'t_0', 't_E', 'u_0', 't_eff', 'pi_E_N', 'pi_E_E', 'rho'} if len(set(parameters) - implemented) > 0: raise NotImplementedError(( "chi^2 gradient is implemented only for {:}\nCannot work " + @@ -546,11 +548,6 @@ def _check_for_gradient_implementation(self, parameters): raise NotImplementedError( 'chi2_gradient() only implemented for single lens models') - # Implemented for finite source effects? - if self.model.parameters.is_finite_source(): - raise NotImplementedError('Event.chi2_gradient() is not working ' - 'for finite source models yet') - if self.model.parameters.is_xallarap: raise NotImplementedError('Gradient for xallarap models is not ' 'implemented yet') @@ -627,12 +624,14 @@ def get_d_A_d_params_for_point_lens_model(self, parameters): Values are the partial derivatives for that parameter evaluated at each data point. """ - gradient = self._get_d_u_d_params(parameters) - - d_A_d_u = self.get_d_A_d_u_for_point_lens_model() - - for (key, value) in gradient.items(): - gradient[key] *= d_A_d_u + if 'rho' in self.model.parameters.parameters: + derivs = self.FSPL_Derivatives(self) + gradient = derivs.get_gradient(parameters) + else: + gradient = self._get_d_u_d_params(parameters) + d_A_d_u = self.get_d_A_d_u_for_PSPL_model() + for key in gradient.keys(): + gradient[key] *= d_A_d_u return gradient @@ -657,11 +656,11 @@ def get_dataset_trajectory(self): 'coords': self.model.coords, 'satellite_skycoord': self.dataset.satellite_skycoord} - return Trajectory(parameters=self.model.parameters, **kwargs_) + return mm.Trajectory(parameters=self.model.parameters, **kwargs_) - def get_d_A_d_u_for_point_lens_model(self): + def get_d_A_d_u_for_PSPL_model(self): """ - Calculate dA/du for PSPL + Calculate dA/du for PSPL point-source--point-lens model. No parameters. @@ -674,6 +673,44 @@ def get_d_A_d_u_for_point_lens_model(self): d_A_d_u = -8. / (u_2 * (u_2 + 4) * np.sqrt(u_2 + 4)) return d_A_d_u + # def get_d_A_d_u_for_FSPL_model(self): + # """ + # Calculate dA/du for FSPL + # + # Returns : + # dA_du: *np.ndarray* + # Derivative dA/du. + # """ + # d_A_pspl_d_u = self.get_d_A_d_u_for_PSPL_model() + # B_0_gamma_B_1 = self._get_B_0_gamma_B_1() + # A_pspl = self._get_A_pspl() + # d_B_0_gamma_dB_1 = self._get_dB_0_gamma_dB_1() + # + # d_A_d_u = d_A_pspl_d_u * B_0_gamma_B_1 + # d_A_d_u += (A_pspl / self.model.parameters.rho) * d_B_0_gamma_dB_1 + # + # return d_A_d_u + + def get_d_A_d_u_for_point_lens_model(self): + """ + Calculate dA/du for point-source--point-lens model. For finite source + models see :py:class:`FSPLDerivs` or + py:func:`get_d_A_d_params_for_point_lens_model()` + + Returns : + dA_du: *np.ndarray* + Derivative dA/du. + """ + if self.model.parameters.is_finite_source(): + # Something that will hopefully be fixed in Version 3: + raise NotImplementedError( + 'd_A_d_u for FSPL models is implemented through the ' + + 'FSPLDerivs class.') + else: + d_A_d_u = self.get_d_A_d_u_for_PSPL_model() + + return d_A_d_u + def _get_d_u_d_params(self, parameters): """ Calculate d u / d parameters @@ -724,6 +761,17 @@ def _get_d_u_d_params(self, parameters): return gradient + def get_d_A_d_rho(self): + """ + Calculate the derivative of the magnification with respect to rho. + + Returns: + d_A_d_rho: *np.ndarray* + derivative + """ + derivs = self.FSPL_Derivatives(self) + return derivs.get_d_A_d_rho() + @property def chi2_gradient(self): """ @@ -854,7 +902,7 @@ def dataset(self): @dataset.setter def dataset(self, new_value): - if not isinstance(new_value, MulensData): + if not isinstance(new_value, mm.MulensData): raise TypeError("Dataset has to of MulensData type, not: " + str(type(new_value))) self._dataset = new_value @@ -872,6 +920,21 @@ def model(self): def model(self, new_value): self._model = new_value + @property + def data_magnification(self): + """ + Returns previously calculated magnifications. To calculate the + magnifications (e.g., if something changed in the model), use + :py:func:`~get_data_magnification()`. + + Returns : + data_magnification: *np.ndarray* + The model magnification evaluated for each datapoint. If there + is more than one source, the magnification of each source is + reported separately. + """ + return self._data_magnification + @property def gamma(self): """ @@ -882,3 +945,166 @@ def gamma(self): :py:func:`~MulensModel.model.Model.get_limb_coeff_gamma()`. """ return self._gamma + + class FSPL_Derivatives(object): + """ + Calculates derivatives of an FSPL model for each datapoint. + + Arguments : + fit: py:class:`FitData` object + + """ + def __init__(self, fit): + # The fact that this takes a FitData object as an argument seems + # circular. + # + # Another problem with this code: the ephemerides file is tied to + # the dataset, so satellite parallax properties need to be defined + # relative to the dataset *not* the model (which may not have an + # ephemerides file). This creates bookkeeping problems. + + # Define the initialization functions + def _get_u(): + """ + Calculate u (lens-source separation) for all dataset epochs. + """ + # This calculation gets repeated = Not efficient. Should + # trajectory be a property of model? No. Wouldn't include + # dataset ephemerides. + trajectory = self.fit.get_dataset_trajectory() + u_ = np.sqrt(trajectory.x ** 2 + trajectory.y ** 2) + return u_ + + def _get_dataset_satellite_skycoord(): + """ + If set, get satellite_skycoordinates from the dataset. + Otherwise, return None. + """ + satellite_skycoord = None + if self.dataset.ephemerides_file is not None: + satellite_skycoord = self.dataset.satellite_skycoord + + return satellite_skycoord + + def _get_magnification_curve(): + """ + Get the + :py:class:`~MulensModel.magnificationcurve.MagnificationCurve.` + evaluated at the dataset epochs. + """ + # This code was copied directly from model.py --> indicates a + # refactor is needed. + # Also, shouldn't satellite_skycoord be stored as a property of + # mm.Model? + magnification_curve = mm.MagnificationCurve( + self.dataset.time, parameters=self.model.parameters, + parallax=self.model.get_parallax(), + coords=self.model.coords, + satellite_skycoord=self._dataset_satellite_skycoord, + gamma=self.gamma) + magnification_curve.set_magnification_methods( + self.model.methods, + self.model.default_magnification_method) + + return magnification_curve + + def _get_a_pspl(): + """ Calculate and return the point lens magnification. """ + zip_ = self.model.parameters.parameters.items() + point_source_params = {key: value for (key, value) in zip_} + point_source_params.pop('rho') + point_source_curve = mm.MagnificationCurve( + self.dataset.time, + parameters=mm.ModelParameters(point_source_params), + parallax=self.model.get_parallax(), + coords=self.model.coords, + satellite_skycoord=self._dataset_satellite_skycoord) + + a_pspl = point_source_curve.get_magnification() + return a_pspl + + def _get_b0_gamma_b1_and_derivs(): + """ + Retrieve B0 - gamma * B1 and its derivative for each epoch. + For uniform source, return B0 and its derivative. + """ + z_ = self.u_ / self.model.parameters.rho + + b0_gamma_b1 = np.ones(len(self.dataset.time)) + db0_gamma_db1 = np.zeros(len(self.dataset.time)) + B0B1 = self._B0B1_data + # This section was copied from magnificationcurve.py. Addl + # evidence a refactor is needed. + methods = np.array( + self._magnification_curve.methods_for_epochs) + for method in set(methods): + selection = (methods == method) & ( + z_ < B0B1.z_max_interpolation) + z = z_[selection] + method_ = method.lower() + if method_ == 'point_source': + pass # These cases are already taken care of. + elif method_ == 'finite_source_uniform_Gould94'.lower(): + b0_gamma_b1[selection] = B0B1.interpolate_B0(z) + db0_gamma_db1[selection] = B0B1.interpolate_B0prime(z) + elif method_ == 'finite_source_LD_Yoo04'.lower(): + B0 = B0B1.interpolate_B0(z) + B0_prime = B0B1.interpolate_B0prime(z) + B1 = B0B1.interpolate_B1(z) + B1_prime = B0B1.interpolate_B1prime(z) + + b0_gamma_b1[selection] = B0 - self.gamma * B1 + db0_gamma_db1[selection] = ( + B0_prime - self.gamma * B1_prime) + else: + msg = "dA/drho only implemented for 'finite_source_" + msg += "uniform_Gould94' and 'finite_source_LD" + msg += "_Yoo04'. Your value: {:}" + raise ValueError(msg.format(method)) + + return (b0_gamma_b1, db0_gamma_db1) + + # Actual Initializations + self.fit = fit + self.dataset = self.fit.dataset + self.model = self.fit.model + self.gamma = self.fit.gamma + + self._B0B1_data = mm.PointLensFiniteSource() + self.u_ = _get_u() + self._dataset_satellite_skycoord = ( + _get_dataset_satellite_skycoord()) + self._magnification_curve = _get_magnification_curve() + self.a_pspl = _get_a_pspl() + b0_gamma_b1_and_derivs = _get_b0_gamma_b1_and_derivs() + self.b0_gamma_b1 = b0_gamma_b1_and_derivs[0] + self.db0_gamma_db1 = b0_gamma_b1_and_derivs[1] + + def get_gradient(self, parameters): + """ + Return the gradient of the magnification with respect to the + FSPL parameters. + """ + d_A_pspl_d_u = self.fit.get_d_A_d_u_for_PSPL_model() + factor = self.a_pspl * self.db0_gamma_db1 + factor /= self.model.parameters.rho + factor += d_A_pspl_d_u * self.b0_gamma_b1 + + gradient = self.fit._get_d_u_d_params(parameters) + for key in parameters: + if key == 'rho': + gradient[key] = self.get_d_A_d_rho() + else: + gradient[key] *= factor + + return gradient + + def get_d_A_d_rho(self): + """ + Return the derivative of the magnification with respect to rho. + """ + d_A_d_rho = self.a_pspl + d_A_d_rho *= -self.u_ / self.model.parameters.rho**2 + d_A_d_rho *= self.db0_gamma_db1 + + return d_A_d_rho diff --git a/source/MulensModel/magnificationcurve.py b/source/MulensModel/magnificationcurve.py index c9b26429..4b39748c 100644 --- a/source/MulensModel/magnificationcurve.py +++ b/source/MulensModel/magnificationcurve.py @@ -274,8 +274,9 @@ def get_point_lens_magnification(self): for method in set(methods): kwargs = {} if self._methods_parameters is not None: - if method in self._methods_parameters.keys(): - kwargs = self._methods_parameters[method] + if method.lower() in self._methods_parameters.keys(): + kwargs = self._methods_parameters[method.lower()] + if kwargs != {}: raise ValueError( 'Methods parameters passed, but currently ' + @@ -478,6 +479,16 @@ def _get_binary_lens_magnification(self, binary_lens_class, return np.array(magnification) + @property + def methods_for_epochs(self): + """ + *list* + + for each epochs, decide which methods should be used to + calculate magnification, but don't run the calculations + """ + return self._methods_for_epochs() + def _methods_for_epochs(self): """ for given epochs, decide which methods should be used to diff --git a/source/MulensModel/model.py b/source/MulensModel/model.py index 424c0d46..98f1273b 100644 --- a/source/MulensModel/model.py +++ b/source/MulensModel/model.py @@ -853,9 +853,9 @@ def set_magnification_methods(self, methods, source=None): 2455746.7, 'VBBL', 2455747., 'Hexadecapole', 2455747.15, 'Quadrupole', 2455748.] - source: *int* or *None* - Which source given methods apply to? Accepts 1, 2, or *None* - (i.e., all sources). + source: *int* or *None*, optional + Which source do the given methods apply to? Accepts 1, 2, or + *None* (i.e., all sources). Default is *None* """ if not isinstance(methods, list): raise TypeError('Parameter methods has to be a list.') @@ -863,23 +863,55 @@ def set_magnification_methods(self, methods, source=None): raise ValueError('In Model.set_magnification_methods() ' + 'the parameter source, has to be 1, 2 or None.') - if source is None: + if (source is None) or (self.n_sources == 1): if isinstance(self._methods, dict): raise ValueError('You cannot set methods for all sources ' + 'after setting them for a single source') + self._methods = methods else: if isinstance(self._methods, list): raise ValueError('You cannot set methods for a single ' + 'source after setting them for all sources.') + if source > self.n_sources: msg = ('Cannot set methods for source {:} for model with ' + 'only {:} sources.') raise ValueError(msg.format(source, self.n_sources)) + if self._methods is None: self._methods = {} self._methods[source] = methods + def get_magnification_methods(self, source=None): + """ + Gets methods used for magnification calculation. See + :py:func:`set_magnification_methods` + + Parameters : + source: *int* or *None*, optional + Which source do the given methods apply to? Accepts 1, 2, or + *None* (i.e., all sources). Default is *None*. + """ + if (source is None): + return self.methods + elif (self.n_sources == 1): + if source > 1: + raise IndexError( + 'Your model only has 1 source, but you requested ' + + 'magnification methods for source {0}'.format(source)) + else: + return self.methods + + else: + return self.methods[source] + + @property + def methods(self): + """*list* of methods used for magnification calculation or *dict* of + *lists* if there are multiple sources.""" + return self._methods + def set_default_magnification_method(self, method): """ Stores information on method to be used, when no method is @@ -892,7 +924,29 @@ def set_default_magnification_method(self, method): Name of the method to be used. """ - self._default_magnification_method = method + warnings.warn( + "set_default_magnification_method() is DEPRECATED. Use default_" + + "magnification_method() instead.", DeprecationWarning) + self.default_magnification_method = method + + @property + def default_magnification_method(self): + """ + Stores information on method to be used, when no method is + directly specified. See + :py:class:`~MulensModel.magnificationcurve.MagnificationCurve` + for a list of implemented methods. + + Parameters: + method: *str* + Name of the method to be used. + + """ + return self._default_magnification_method + + @default_magnification_method.setter + def default_magnification_method(self, new_method): + self._default_magnification_method = new_method def set_magnification_methods_parameters(self, methods_parameters): """ @@ -906,31 +960,52 @@ def set_magnification_methods_parameters(self, methods_parameters): """ if self.n_lenses == 1: - methods_ok = [ - 'point_source', - 'finite_source_uniform_Gould94'.lower(), - 'finite_source_uniform_Gould94_direct'.lower(), - 'finite_source_LD_Yoo04'.lower(), - 'finite_source_LD_Yoo04_direct'.lower(), - 'finite_source_uniform_Lee09'.lower(), - 'finite_source_LD_Lee09'.lower()] + methods_all_str = ( + 'point_source finite_source_uniform_Gould94 ' + 'finite_source_uniform_Gould94_direct ' + 'finite_source_uniform_WittMao94 finite_source_LD_WittMao94 ' + 'finite_source_LD_Yoo04 finite_source_LD_Yoo04_direct ' + 'finite_source_uniform_Lee09 finite_source_LD_Lee09') elif self.n_lenses == 2: - methods_ok = [ - 'point_source', 'quadrupole', 'hexadecapole', 'vbbl', - 'adaptive_contouring', 'point_source_point_lens'] + methods_all_str = ('point_source quadrupole hexadecapole vbbl ' + 'adaptive_contouring point_source_point_lens') else: msg = 'wrong value of Model.n_lenses: {:}' raise ValueError(msg.format(self.n_lenses)) parameters = { key.lower(): value for (key, value) in methods_parameters.items()} - methods = set(parameters.keys()) - set(methods_ok) + methods_all = set([m.lower() for m in methods_all_str.split()]) + methods = set(parameters.keys()) - methods_all if len(methods): raise KeyError('Unknown methods provided: {:}'.format(methods)) self._methods_parameters = parameters + def get_magnification_methods_parameters(self, method): + """ + Get additional parameters for a specific magnification calculation + method or methods. + + Parameters : + method: *str*, *list* + Name of method or a list of the names for which parameters + will be returned. + + Returns : + method_parameters: *dict* + see :py:func:`set_magnification_methods_parameters` + """ + if isinstance(method, (str)): + parameters = { + method.lower(): self._methods_parameters[method.lower()]} + else: + parameters = {key.lower(): self._methods_parameters[key.lower()] + for key in method} + + return parameters + def set_limb_coeff_gamma(self, bandpass, coeff): """ Store gamma limb darkening coefficient for given band. See @@ -943,7 +1018,6 @@ def set_limb_coeff_gamma(self, bandpass, coeff): coeff: *float* Value of the coefficient. - """ if bandpass not in self._bandpasses: self._bandpasses.append(bandpass) diff --git a/source/MulensModel/pointlens.py b/source/MulensModel/pointlens.py index c993f170..a187193b 100644 --- a/source/MulensModel/pointlens.py +++ b/source/MulensModel/pointlens.py @@ -58,7 +58,6 @@ class PointLens(object): input parameters """ - _B0B1_file_read = False _elliptic_files_read = False def __init__(self, parameters=None): @@ -66,22 +65,9 @@ def __init__(self, parameters=None): raise TypeError( "PointLens argument has to be of ModelParameters type, not " + str(type(parameters))) - self.parameters = parameters - def _read_B0B1_file(self): - """Read file with pre-computed function values""" - file_ = os.path.join( - mm.DATA_PATH, 'interpolation_table_b0b1_v1.dat') - if not os.path.exists(file_): - raise ValueError('File with FSPL data does not exist.\n' + file_) - (z, B0, B0_minus_B1) = np.loadtxt(file_, unpack=True) - PointLens._B0_interpolation = interp1d(z, B0, kind='cubic') - PointLens._B0_minus_B1_interpolation = interp1d( - z, B0_minus_B1, kind='cubic') - PointLens._z_min = np.min(z) - PointLens._z_max = np.max(z) - - PointLens._B0B1_file_read = True + self.parameters = parameters + self._B0B1_data = mm.PointLensFiniteSource() def _read_elliptic_files(self): """ @@ -222,17 +208,14 @@ def _get_point_lens_finite_source_magnification( except TypeError: z = np.array([z]) - if not PointLens._B0B1_file_read: - self._read_B0B1_file() - if direct: mask = np.zeros_like(z, dtype=bool) else: - mask = (z > PointLens._z_min) & (z < PointLens._z_max) + mask = self._get_mask_B0B1_data(z) B0 = 0. * z if np.any(mask): # Here we use interpolation. - B0[mask] = PointLens._B0_interpolation(z[mask]) + B0[mask] = self._B0B1_data.interpolate_B0(z[mask]) mask = np.logical_not(mask) if np.any(mask): # Here we use direct calculation. @@ -242,6 +225,12 @@ def _get_point_lens_finite_source_magnification( # More accurate calculations can be performed - see Yoo+04 eq. 11 & 12. return magnification + def _get_mask_B0B1_data(self, z): + """ + Get mask that desides if z is in range covered by B0B1 file + """ + return self._B0B1_data.get_interpolation_mask(z) + def get_point_lens_limb_darkening_magnification( self, u, pspl_magnification, gamma, direct=False): """ @@ -284,18 +273,15 @@ def get_point_lens_limb_darkening_magnification( except TypeError: z = np.array([z]) - if not PointLens._B0B1_file_read: - self._read_B0B1_file() - if direct: mask = np.zeros_like(z, dtype=bool) else: - mask = (z > PointLens._z_min) & (z < PointLens._z_max) + mask = self._get_mask_B0B1_data(z) magnification = 0. * z + pspl_magnification if np.any(mask): # Here we use interpolation. - B_0 = PointLens._B0_interpolation(z[mask]) - B_0_minus_B_1 = PointLens._B0_minus_B1_interpolation(z[mask]) + B_0 = self._B0B1_data.interpolate_B0(z[mask]) + B_0_minus_B_1 = self._B0B1_data.interpolate_B0minusB1(z[mask]) magnification[mask] *= (B_0 * (1. - gamma) + B_0_minus_B_1 * gamma) mask = np.logical_not(mask) diff --git a/source/MulensModel/pointlensfinitesource.py b/source/MulensModel/pointlensfinitesource.py new file mode 100644 index 00000000..1e0a04db --- /dev/null +++ b/source/MulensModel/pointlensfinitesource.py @@ -0,0 +1,141 @@ +from os.path import join, exists +import numpy as np +from scipy.interpolate import interp1d + +import MulensModel as mm + + +class PointLensFiniteSource(object): + """ + Data and methods used for interpolation for finite-source point-lens + magnification calculations. + + There are no parameters of `__init__()`. In general, this class is not + directly used by a user. + """ + _B0B1_file_read = False + + def __init__(self): + self._B0B1_file = join(mm.DATA_PATH, 'interpolation_table_b0b1_v3.dat') + + if not PointLensFiniteSource._B0B1_file_read: + self._read_B0B1_file() + + def _read_B0B1_file(self): + """Read file with pre-computed function values""" + if not exists(self._B0B1_file): + raise ValueError( + 'File with FSPL data does not exist.\n' + self._B0B1_file) + + file_info = np.loadtxt(self._B0B1_file, unpack=True) + (z, B0, B0_minus_B1, B1, B0_prime, B1_prime) = file_info + + kwargs = {'kind': 'cubic', 'bounds_error': False, 'fill_value': 1.} + PointLensFiniteSource._B0_interpolation = interp1d(z, B0, **kwargs) + kwargs['fill_value'] = 0. + PointLensFiniteSource._B0_minus_B1_interpolation = interp1d( + z, B0_minus_B1, **kwargs) + PointLensFiniteSource._B1_interpolation = interp1d(z, B1, **kwargs) + PointLensFiniteSource._B0_prime_interpolation = interp1d( + z, B0_prime, **kwargs) + PointLensFiniteSource._B1_prime_interpolation = interp1d( + z, B1_prime, **kwargs) + PointLensFiniteSource._z_min = np.min(z) + PointLensFiniteSource._z_max = np.max(z) + PointLensFiniteSource._B0B1_file_read = True + + def interpolate_B0(self, z): + """ + Interpolate B_0(z) function. + + Parameters : + z: *np.ndarray* + Values of u/rho. + + Returns : + B0: *np.ndarray* + Values of B_0. + """ + return PointLensFiniteSource._B0_interpolation(z) + + def interpolate_B0minusB1(self, z): + """ + Interpolate B_0(z)-B_1(z) function. + + Parameters : + z: *np.ndarray* + Values of u/rho. + + Returns : + B0_minus_B1: *np.ndarray* + Values of B_0(z)-B_1(z). + """ + return PointLensFiniteSource._B0_minus_B1_interpolation(z) + + def interpolate_B1(self, z): + """ + Interpolate B_1(z) function. + + Parameters : + z: *np.ndarray* + Values of u/rho. + + Returns : + B1: *np.ndarray* + Values of B_1(z). + """ + return PointLensFiniteSource._B1_interpolation(z) + + def interpolate_B0prime(self, z): + """ + Interpolate derivative of B_0(z), i.e., d B_0(z)/d z. + + Parameters : + z: *np.ndarray* + Values of u/rho. + + Returns : + dB0_dz: *np.ndarray* + Values of d B_0(z)/d z. + """ + return PointLensFiniteSource._B0_prime_interpolation(z) + + def interpolate_B1prime(self, z): + """ + Interpolate derivative of B_1(z), i.e., d B_1(z)/d z. + + Parameters : + z: *np.ndarray* + Values of u/rho. + + Returns : + dB1_dz: *np.ndarray* + Values of d B_1(z)/d z. + """ + return PointLensFiniteSource._B1_prime_interpolation(z) + + def get_interpolation_mask(self, z): + """ + Get mask of z values for which interpolation of B_0(z), B_1(z) etc. + is allowed + + Parameters : + z: *np.ndarray* + Values of u/rho. + + Returns : + mask: *np.ndarray* + Mask indicating for which z values interpolation is allowed. + """ + mask = (z > PointLensFiniteSource._z_min) + mask &= (z < PointLensFiniteSource._z_max) + return mask + + @property + def z_max_interpolation(self): + """ + Maximum value of z for which interpolation is allowed. + + *float* + """ + return PointLensFiniteSource._z_max diff --git a/source/MulensModel/tests/test_Event.py b/source/MulensModel/tests/test_Event.py index ac14c059..9b8ae0fc 100644 --- a/source/MulensModel/tests/test_Event.py +++ b/source/MulensModel/tests/test_Event.py @@ -468,48 +468,6 @@ def test_1_param(self): np.testing.assert_almost_equal(ratio, 1., decimal=5) -def _test_event_chi2_gradient_rho(): - """ - test calculation of chi2 gradient including finite source effects - MB08310 is used as an example - """ - kwargs = {'comments': ["\\", "|"]} - datasets = [ - mm.MulensData(file_name=SAMPLE_FILE_310_01, bandpass='R', **kwargs), - mm.MulensData(file_name=SAMPLE_FILE_310_02, bandpass='U', **kwargs), - mm.MulensData(file_name=SAMPLE_FILE_310_03, bandpass='I', **kwargs)] - - (gamma_I, gamma_V) = (0.44, 0.72) - t_0 = 2454656.39975 - u_0 = 0.00300 - t_E = 11.14 - rho = 0.00492549 - t_star = rho * t_E - parameters = {'t_0': t_0, 'u_0': u_0, 't_E': t_E, 'rho': rho} - model = mm.Model(parameters) - method = 'finite_source_LD_Yoo04' - model.set_magnification_methods( - [t_0 - 2. * t_star, method, t_0 + 2. * t_star]) - model.set_limb_coeff_gamma('R', (gamma_V + gamma_I) / 2.) - model.set_limb_coeff_gamma('U', (gamma_V + gamma_I) / 2.) - model.set_limb_coeff_gamma('I', gamma_I) - - # Set expected values - # JCY - see sandbox/rho_gradient on pink laptop - params = parameters.keys() - gradient = {'t_0': 1283513.3068849628, 'u_0': 20492801.742886964, - 't_E': -9573.3589902395161, 'rho': -1503911.2409404013} - reference = np.array([gradient[key] for key in params]) - - # Create event and run test - event = mm.Event(model=model, datasets=datasets) - # result = event.get_chi2_gradient(list(params), fit_blending=False) - - # print(result) - # print(reference) - # np.testing.assert_almost_equal(reference / result, 1., decimal=2) - - # ---------- # Event.get_ref_fluxes() Tests def test_get_ref_fluxes(): @@ -568,7 +526,8 @@ def test_get_ref_fluxes_binary_source(): class TestBinarySourceFluxes(unittest.TestCase): def setUp(self): - (self.model, self.model_1, self.model_2) = self._generate_binary_source_models() + models = self._generate_binary_source_models() + (self.model, self.model_1, self.model_2) = models (self.data_1, self.data_2) = self._generate_binary_source_datasets() self.f_s1_1 = 100. @@ -618,6 +577,7 @@ def test_source_fluxes_2b(self): fluxes, np.array([[self.f_s1_1, self.f_s2_1], [self.f_s1_2, self.f_s2_2]])) + # Event.get_flux_for_dataset() Tests def test_get_flux_for_dataset(): """ @@ -855,7 +815,7 @@ def test_free_fluxes(self): def test_source_fluxes_AttributeError(self): event = mm.Event(datasets=self.datasets, model=self.model) with self.assertRaises(AttributeError): - fluxes = event.source_fluxes + _ = event.source_fluxes def test_source_fluxes_1(self): """1 dataset, 1 source""" @@ -1067,7 +1027,7 @@ class TestEvent_repr_(unittest.TestCase): def setUp(self): self.model = mm.Model({'t_0': 0, 'u_0': .5, 't_E': 10.}, - coords="18:12:34.56 -23:45:55.55") + coords="18:12:34.56 -23:45:55.55") self.dataset_01 = mm.MulensData(file_name=SAMPLE_FILE_01) self.dataset_02 = mm.MulensData(file_name=SAMPLE_FILE_02) @@ -1077,7 +1037,6 @@ def setUp(self): if i == 0: self.expected += " *data_ref*" - def test_repr_empty(self): """ Check printing if no input is provided. @@ -1146,9 +1105,9 @@ class TestModelSetter(unittest.TestCase): def setUp(self): self.model_1 = mm.Model({'t_0': 0, 'u_0': .5, 't_E': 10.}, - coords="18:12:34.56 -23:45:55.55") + coords="18:12:34.56 -23:45:55.55") self.model_2 = mm.Model({'t_0': 1, 'u_0': 1.5, 't_E': 60.}, - coords="18:00:00 -30:00:00") + coords="18:00:00 -30:00:00") self.result_1 = SkyCoord( "18:12:34.56 -23:45:55.55", unit=[u.hourangle, u.deg]) self.result_2 = SkyCoord( @@ -1180,7 +1139,6 @@ def test_TypeError(self): event.model = 'foo' - # Tests to add: # # properties: coords, model, datasets, data_ref, sum_function? diff --git a/source/MulensModel/tests/test_FitData.py b/source/MulensModel/tests/test_FitData.py index 3fcf2769..4273cf6d 100644 --- a/source/MulensModel/tests/test_FitData.py +++ b/source/MulensModel/tests/test_FitData.py @@ -1,20 +1,25 @@ import numpy as np from numpy.testing import assert_almost_equal as almost +from numpy.testing import assert_allclose import unittest -import os.path +from os.path import join import MulensModel as mm -dir_1 = os.path.join(mm.DATA_PATH, 'photometry_files', 'OB140939') -dir_2 = os.path.join(mm.DATA_PATH, 'unit_test_files') -dir_3 = os.path.join(mm.DATA_PATH, 'ephemeris_files') +dir_1 = join(mm.DATA_PATH, 'photometry_files', 'OB140939') +dir_2 = join(mm.DATA_PATH, 'unit_test_files') +dir_3 = join(mm.DATA_PATH, 'ephemeris_files') +dir_4 = join(dir_2, 'fspl_derivs') + +SAMPLE_FILE_02 = join(dir_1, 'ob140939_OGLE.dat') # HJD' +SAMPLE_FILE_02_REF = join(dir_2, 'ob140939_OGLE_ref_v1.dat') # HJD' +SAMPLE_FILE_03 = join(dir_1, 'ob140939_Spitzer.dat') # HJD' +SAMPLE_FILE_03_EPH = join(dir_3, 'Spitzer_ephemeris_01.dat') # UTC +SAMPLE_FILE_03_REF = join(dir_2, 'ob140939_Spitzer_ref_v1.dat') # HJD' +SAMPLE_FILE_04_WF = join(mm.DATA_PATH, 'WFIRST_1827.dat') +SAMPLE_FILE_FSPL_51 = join(dir_4, 'fort.51') +SAMPLE_FILE_FSPL_61 = join(dir_4, 'fort.61') -SAMPLE_FILE_02 = os.path.join(dir_1, 'ob140939_OGLE.dat') # HJD' -SAMPLE_FILE_02_REF = os.path.join(dir_2, 'ob140939_OGLE_ref_v1.dat') # HJD' -SAMPLE_FILE_03 = os.path.join(dir_1, 'ob140939_Spitzer.dat') # HJD' -SAMPLE_FILE_03_EPH = os.path.join(dir_3, 'Spitzer_ephemeris_01.dat') # UTC -SAMPLE_FILE_03_REF = os.path.join(dir_2, 'ob140939_Spitzer_ref_v1.dat') # HJD' -SAMPLE_FILE_04_WF = os.path.join(mm.DATA_PATH, 'WFIRST_1827.dat') # Note: default precision for assert_almost_equal (aka almost) is decimal = 7 @@ -140,6 +145,19 @@ def test_all_fixed(self): fix_source_flux=1.2, fix_blend_flux=-0.5) self._run_arbitrary_values_test(fix_source_flux=1.7, fix_blend_flux=0.) + def test_data_magnification(self): + dataset = self.my_dataset.copy() + dataset.bad = (dataset.time < self.pspl.parameters.t_0) + magnification = np.zeros(len(dataset.time)) + magnification[dataset.good] = self.pspl.get_magnification( + dataset.time[dataset.good]) + + my_fit = mm.FitData(model=self.pspl, dataset=dataset) + assert my_fit.data_magnification is None + my_fit.get_data_magnification() + np.testing.assert_equal( + my_fit.data_magnification, magnification) + class TestBinarySourceFluxes(unittest.TestCase): @@ -335,7 +353,7 @@ def test_satellite_and_annual_parallax_calculation(): # Test FitData.data_magnification() my_fit = mm.FitData(dataset=data_Spitzer, model=model_with_par) ratio = my_fit.get_data_magnification() / ref_Spitzer - np.testing.assert_almost_equal(ratio, [1.]*len(ratio), decimal=4) + almost(ratio, [1.]*len(ratio), decimal=4) def test_get_d_u_d_params(): @@ -637,6 +655,357 @@ def test_no_gradient_for_xallarap(self): fit.get_chi2_gradient(['t_0', 'u_0', 't_E']) +class FortranSFitFile(object): + """ + Class to parse the comparison file generated by + the Fortran version of sfit. + """ + def __init__(self, filename): + with open(filename, 'r') as input_file: + key = None + for line in input_file.readlines(): + words = line.split() + if words[0] == '#': + key = words[-1] + continue + elif len(words) == 1: + value = float(words[0]) + else: + value = np.array([float(item) for item in words]) + + self.__setattr__(key, value) + + +class TestFSPLGradient(unittest.TestCase): + """ Compares various parts of the FSPL Derivative calculations to the + results from sfit.""" + + def setUp(self): + # Read in sfit comparison file, split by dataset + self.filenames = ['FSPL_par_Obs_1_I.pho', 'FSPL_par_Obs_2_V.pho'] + self.sfit_derivs = np.genfromtxt( + SAMPLE_FILE_FSPL_61, dtype=None, + names=['nob', 'k', 't', 'dAdrho', 'mag', 'db0', 'db1']) + self._read_sfit() + self._create_model() + self._set_datasets() + self._set_fits() + self._set_indices() + + def _read_sfit(self): + """ read in the input parameters and output matrices from sfit""" + self.sfit_mat = FortranSFitFile(SAMPLE_FILE_FSPL_51) + self.sfit_mat.a[0] += 2450000. + + def _create_model(self): + """ Initialize a model to match sfit parameters """ + parameters = ['t_0', 'u_0', 't_E', 'rho'] + self.sfit_model = mm.Model(dict(zip(parameters, self.sfit_mat.a))) + t_star = ( + self.sfit_model.parameters.rho * self.sfit_model.parameters.t_E) + n_t_star = 9. + self._t_lim_1 = self.sfit_model.parameters.t_0 - n_t_star * t_star + self._t_lim_2 = self.sfit_model.parameters.t_0 + n_t_star * t_star + n_t_star_2 = 50. + self._t_lim_3 = self.sfit_model.parameters.t_0 - n_t_star_2 * t_star + self._t_lim_4 = self.sfit_model.parameters.t_0 + n_t_star_2 * t_star + self.sfit_model.set_magnification_methods( + [self._t_lim_3, 'finite_source_uniform_Gould94', + self._t_lim_1, 'finite_source_LD_Yoo04', + self._t_lim_2, 'finite_source_uniform_Gould94', + self._t_lim_4]) + self.sfit_model.set_limb_coeff_gamma('I', self.sfit_mat.a[4]) + self.sfit_model.set_limb_coeff_gamma('V', self.sfit_mat.a[5]) + + def _set_datasets(self): + """ Read in datasets for test""" + self.datasets = [] + for filename in self.filenames: + bandpass = filename.split('.')[0][-1] + mag_data = np.genfromtxt( + join(dir_4, filename), dtype=None, encoding='utf-8', + names=['time', 'mag', 'err']) + (flux, err) = mm.Utils.get_flux_and_err_from_mag( + mag_data['mag'], mag_data['err'], zeropoint=18.) + dataset = mm.MulensData( + [mag_data['time'], flux, err], phot_fmt='flux', + bandpass=bandpass) + self.datasets.append(dataset) + + def _set_fits(self): + """ Set up fits for each individual dataset.""" + self.fits = [] + self.zs = [] # z = u / rho for each data epoch + self.indices = [] # restrict to points affected by FS effects + self.sfit_indices = [] # select the right parts of the sfit comparison + # file + for (i, dataset) in enumerate(self.datasets): + fit = mm.FitData( + dataset=dataset, model=self.sfit_model, + fix_source_flux=self.sfit_mat.a[9 + i * 3], + fix_blend_flux=self.sfit_mat.a[9 + i * 3 + 1]) + fit.fit_fluxes() + self.fits.append(fit) + + index = ((dataset.time > self._t_lim_1) & + (dataset.time < self._t_lim_2)) + self.indices.append(index) + + sfit_index = np.where(self.sfit_derivs['nob'] == i + 1) + self.sfit_indices.append(sfit_index) + + trajectory = fit.model.get_trajectory(dataset.time) + u = np.sqrt(trajectory.x**2 + trajectory.y**2) + z = u / self.sfit_model.parameters.rho + self.zs.append(z) + + def _set_indices(self): + z_break = 1.3 + zs_1_margin = 0.003 + self._indexes = [] + self._indices_not_near_1 = [] + self._indices_not_near_1_db = [] + for (zs, indices) in zip(self.zs, self.indices): + index_large = (zs > z_break) + index_small = (zs <= z_break) + self._indexes.append([index_large, index_small]) + # The sfit code is not accurate near 1.0. + near_1 = (np.abs(zs - 1.) > zs_1_margin) + self._indices_not_near_1.append(indices & near_1) + near_1_db = (zs < 0.88) | (zs > 1.1) + self._indices_not_near_1_db.append(indices & near_1_db) + + def _db0_test(self, i): + """ Test that B0prime is calculated correctly""" + # private function check + sfit_db0 = self.sfit_derivs[self.sfit_indices[i]]['db0'] + kwargs_ = [{'atol': 0.0005}, {'rtol': 0.01}] + for (condition, kwargs) in zip(self._indexes[i], kwargs_): + index_i = condition & self._indices_not_near_1_db[i] + z = self.zs[i][index_i] + db0 = mm.PointLensFiniteSource().interpolate_B0prime(z) + assert_allclose(db0, sfit_db0[index_i], **kwargs) + + def test_db0_0(self): + """ Check that B0prime is calculated correctly for dataset 0""" + self._db0_test(0) + + def test_db0_1(self): + """ Check that B0prime is calculated correctly for dataset 1""" + self._db0_test(1) + + def _db1_test(self, i): + """ Check that B1prime is calculated correctly""" + # private function check + sfit_db1 = self.sfit_derivs[self.sfit_indices[i]]['db1'] + kwargs_ = [{'atol': 0.001}, {'rtol': 0.05}] + for (condition, kwargs) in zip(self._indexes[i], kwargs_): + index_i = condition & self._indices_not_near_1_db[i] + z = self.zs[i][index_i] + db1 = mm.PointLensFiniteSource().interpolate_B1prime(z) + assert_allclose(db1, sfit_db1[index_i], **kwargs) + + def test_db1_0(self): + """ Check that B1prime is calculated correctly for dataset 0""" + self._db1_test(0) + + def test_db1_1(self): + """ Check that B1prime is calculated correctly for dataset 1""" + self._db1_test(1) + + def _mags_test(self, i): + """ Check that magnification is calculated correctly""" + mags = self.fits[i].get_data_magnification() + sfit_mags = self.sfit_derivs[self.sfit_indices[i]]['mag'] + assert_allclose(mags, sfit_mags, rtol=0.005) + + def test_mags_0(self): + """ Check that magnification is calculated correctly for dataset 0""" + self._mags_test(0) + + def test_mags_1(self): + """ Check that magnification is calculated correctly for dataset 1""" + self._mags_test(1) + + def _dA_drho_test(self, i): + """ Check that dA / drho is calculated correctly""" + # compare da_drho + fs = self.fits[i].source_flux + derivs = fs * self.fits[i].get_d_A_d_rho() + sfit_da_drho = self.sfit_derivs[self.sfit_indices[i]]['dAdrho'] + mask = self._indices_not_near_1[i] + assert_allclose(derivs[mask], sfit_da_drho[mask], rtol=0.015) + + def test_dAdrho_0(self): + """ Check that dA / drho is calculated correctly for dataset 0""" + self._dA_drho_test(0) + + def test_dAdrho_1(self): + """ Check that dA / drho is calculated correctly for dataset 1""" + self._dA_drho_test(1) + + def _set_limb_coeffs(self, model): + for band in ['I', 'V']: + gamma = self.sfit_model.get_limb_coeff_gamma(band) + model.set_limb_coeff_gamma(band, gamma) + + def test_FSPL_Derivatives_tstar(self): + """ Make sure that FSPL Derivatives fails for models defined with + tstar """ + model = mm.Model( + {'t_0': self.sfit_model.parameters.t_0, + 'u_0': self.sfit_model.parameters.u_0, + 't_E': self.sfit_model.parameters.t_E, + 't_star': self.sfit_model.parameters.t_star}) + self._set_limb_coeffs(model) + + fit = mm.FitData(model=model, dataset=self.datasets[0]) + + with self.assertRaises(KeyError): + fit.get_d_A_d_rho() + + def test_check_FSPLDerivs_errors_1(self): + parameters = ['t_0', 'u_0', 't_E', 'rho'] + model = mm.Model(dict(zip(parameters, self.sfit_mat.a))) + self._set_limb_coeffs(model) + + t_star = model.parameters.rho * model.parameters.t_E + n_t_star = 9. + t_lim_1 = model.parameters.t_0 - n_t_star * t_star + t_lim_2 = model.parameters.t_0 + n_t_star * t_star + model.set_magnification_methods( + [t_lim_1, 'finite_source_uniform_WittMao94', t_lim_2]) + fit = mm.FitData(model=model, dataset=self.datasets[0]) + with self.assertRaises(ValueError): + fit.get_d_A_d_rho() + + def test_magnification_methods_parameters(self): + parameters = ['t_0', 'u_0', 't_E', 'rho'] + model = mm.Model(dict(zip(parameters, self.sfit_mat.a))) + t_star = model.parameters.rho * model.parameters.t_E + n_t_star = 9. + t_lim_1 = model.parameters.t_0 - n_t_star * t_star + t_lim_2 = model.parameters.t_0 + n_t_star * t_star + model.set_magnification_methods( + [t_lim_1, 'finite_source_uniform_Gould94', t_lim_2]) + with self.assertRaises(KeyError): + model.set_magnification_methods_parameters( + {'vbbl': {'accuracy': 0.005}}) + + model.set_magnification_methods_parameters( + {'finite_source_uniform_Gould94': {'accuracy': 0.005}}) + with self.assertRaises(ValueError): + model.get_magnification(np.arange(t_lim_1, t_lim_2, 0.1)) + + +class TestFSPLGradient2(TestFSPLGradient): + + def setUp(self): + fort_61 = join(dir_4, 'test_2', 'fort.61') + fort_62 = join(dir_4, 'test_2', 'fort.62') + fort_51 = join(dir_4, 'test_2', 'fort.51') + self.filenames = [join('test_2', 'FSPL_Obs_1_I.pho'), + join('test_2', 'FSPL_Obs_2_V.pho')] + + self.sfit_derivs = np.genfromtxt( + fort_61, dtype=None, encoding='utf-8', + names=['nob', 'k', 't', 'dAdrho', 'mag', 'db0', 'db1']) + self.sfit_partials = np.genfromtxt( + fort_62, dtype=None, encoding='utf-8', + names=['nob', 'k', 't', 'dfdt0', 'dfdu0', 'dfdtE', 'dfdrho', + 'dAdu', 'df', 'res', 'sig2']) + self.sfit_mat = FortranSFitFile(fort_51) + self.sfit_mat.a[0] += 2450000. + + self._create_model() + self._set_datasets() + self._set_fits() + self._set_indices() + + def test_dA_dparams(self): + params = ['t_0', 'u_0', 't_E', 'rho'] + for i, fit in enumerate(self.fits): + dA_dparam = fit.get_d_A_d_params_for_point_lens_model(params) + for j, param in enumerate(params): + short_param = param.replace('_', '') + df_dparam = fit.source_flux * dA_dparam[param] + sfit_df_dparam = self.sfit_partials[ + self.sfit_indices[i]]['dfd{0}'.format(short_param)] + mask = self._indices_not_near_1[i] + assert_allclose( + df_dparam[mask], sfit_df_dparam[mask], rtol=0.015) + + def test_chi2_gradient(self): + params = ['t_0', 'u_0', 't_E', 'rho'] + for i, fit in enumerate(self.fits): + gradient = fit.get_chi2_gradient(params) + sfit_res = self.sfit_partials[self.sfit_indices[i]]['res'] + + # Test residuals from model & Errors + res, err = fit.get_residuals(phot_fmt='flux') + index_peak = (self.zs[i] < 15.) + index_wings = (self.zs[i] > 15.) + assert_allclose(res[index_peak], sfit_res[index_peak], rtol=0.01) + assert_allclose(res[index_wings], sfit_res[index_wings], atol=0.01) + sig2 = self.sfit_partials[self.sfit_indices[i]]['sig2'] + assert_allclose(err**2, sig2, rtol=0.01) + + # Test gradient + for j, param in enumerate(params): + short_param = param.replace('_', '') + partials = self.sfit_partials[ + self.sfit_indices[i]]['dfd{0}'.format(short_param)] + sfit_gradient = np.sum(-2. * sfit_res * partials / sig2) + assert_allclose(gradient[j], sfit_gradient, rtol=0.01) + + def test_dAdu_FSPLError(self): + for i, fit in enumerate(self.fits): + with self.assertRaises(NotImplementedError): + fit.get_d_A_d_u_for_point_lens_model() + + def test_dAdu_PSPL(self): + params = ['t_0', 'u_0', 't_E'] + sfit_PSPL_model = mm.Model(dict(zip(params, self.sfit_mat.a))) + for (i, dataset) in enumerate(self.datasets): + fit = mm.FitData( + dataset=dataset, model=sfit_PSPL_model, + fix_source_flux=self.sfit_mat.a[9 + i * 3], + fix_blend_flux=self.sfit_mat.a[9 + i * 3 + 1]) + fit.fit_fluxes() + dAdu = fit.get_d_A_d_u_for_point_lens_model() + assert_allclose( + dAdu, self.sfit_partials[self.sfit_indices[i]]['dAdu'], + rtol=0.005) + + +def test_FSPLDerivs_get_satellite_coords(): + times = [2456445.0, 2457328.0] + mags = [16., 15.] + errs = [0.01, 0.02] + + dataset = mm.MulensData( + [times, mags, errs], phot_fmt='mag', + ephemerides_file=SAMPLE_FILE_03_EPH) + model = mm.Model({'t_0': 2457000., 'u_0': 0.01, 't_E': 100., 'rho': 0.02}) + model.default_magnification_method = 'finite_source_uniform_Gould94' + + fit = mm.FitData(dataset=dataset, model=model) + + derivs_obj = fit.FSPL_Derivatives(fit) + result_1 = derivs_obj._dataset_satellite_skycoord[0] + result_2 = derivs_obj._dataset_satellite_skycoord[-1] + + ra_1 = 15 * (8 + 26 / 60. + 37.19 / 3600.) + dec_1 = 18 + 30 / 60. + 37.4 / 3600. + np.testing.assert_almost_equal(result_1.ra.value, ra_1, decimal=3) + np.testing.assert_almost_equal(result_1.dec.value, dec_1, decimal=3) + + ra_2 = 15 * (17 + 40 / 60. + 4.98 / 3600.) + dec_2 = -23 - 26 / 60. - 38.2 / 3600. + np.testing.assert_almost_equal(result_2.ra.value, ra_2, decimal=3) + np.testing.assert_almost_equal(result_2.dec.value, dec_2, decimal=3) + + # Tests to add: # # test get_chi2_gradient(), chi2_gradient: diff --git a/source/MulensModel/tests/test_MagnificationCurve.py b/source/MulensModel/tests/test_MagnificationCurve.py index dd11f804..3a093e8a 100644 --- a/source/MulensModel/tests/test_MagnificationCurve.py +++ b/source/MulensModel/tests/test_MagnificationCurve.py @@ -255,3 +255,14 @@ def test_Chang_Refsdal(): mag_curve = mm.MagnificationCurve(times=t_vec, parameters=parameters) magnification = mag_curve.get_magnification() np.testing.assert_almost_equal(magnification, 5.556327, decimal=5) + + +class FSMethodWarningsTest(unittest.TestCase): + + def test_finite_source_warning(self): + parameters = mm.ModelParameters({ + 't_0': 2457000., 'u_0': 0.01, 't_E': 100., 'rho': 0.02}) + mag_curve = mm.MagnificationCurve(2457000.1, parameters) + + with self.assertWarns(UserWarning): + mag_curve.get_magnification() diff --git a/source/MulensModel/tests/test_Model.py b/source/MulensModel/tests/test_Model.py index 07780e70..e58f2484 100644 --- a/source/MulensModel/tests/test_Model.py +++ b/source/MulensModel/tests/test_Model.py @@ -3,6 +3,7 @@ from math import isclose import unittest from astropy import units as u +import warnings import MulensModel as mm @@ -205,6 +206,8 @@ def test_BLPS_02(): methods = [2456113.5, 'Quadrupole', 2456114.5, 'Hexadecapole', 2456116.5, 'VBBL', 2456117.5] model.set_magnification_methods(methods) + assert model.default_magnification_method == 'point_source' + assert model.methods == methods data = mm.MulensData(data_list=[t, t*0.+16., t*0.+0.01]) result = model.get_magnification(data.time) @@ -225,75 +228,169 @@ def test_BLPS_02(): almost(result, result_2) -def test_BLPS_02_AC(): +class TestBLPS02AC(unittest.TestCase): """ simple binary lens with extended source and different methods to evaluate magnification - version with adaptivecontouring """ - params = mm.ModelParameters({ - 't_0': t_0, 'u_0': u_0, 't_E': t_E, 'alpha': alpha, 's': s, - 'q': q, 'rho': rho}) - model = mm.Model(parameters=params) - - t = np.array([6112.5, 6113., 6114., 6115., 6116., 6117., 6118., 6119]) - t += 2450000. - ac_name = 'Adaptive_Contouring' - methods = [2456113.5, 'Quadrupole', 2456114.5, 'Hexadecapole', 2456116.5, - ac_name, 2456117.5] - accuracy_1 = {'accuracy': 0.04} - accuracy_2 = {'accuracy': 0.01, 'ld_accuracy': 0.00001} - model.set_magnification_methods(methods) - model.set_magnification_methods_parameters({ac_name: accuracy_1}) - - data = mm.MulensData(data_list=[t, t*0.+16., t*0.+0.01]) - result = model.get_magnification(data.time) - - expected = np.array([4.69183078, 2.87659723, 1.83733975, 1.63865704, - 1.61038135, 1.63603122, 1.69045492, 1.77012807]) - almost(result, expected, decimal=3) - - # Below we test passing the limb coeff to VBBL function. - # data.bandpass = 'I' - model.set_limb_coeff_u('I', 10.) - # This is an absurd value but I needed something quick. - model.set_magnification_methods_parameters({ac_name: accuracy_2}) - # result = model.data_magnification[0] - result = model.get_magnification( - data.time, gamma=model.get_limb_coeff_gamma('I')) - almost(result[5], 1.6366862, decimal=3) - - -def test_methods_parameters(): + def setUp(self): + t = np.array([6112.5, 6113., 6114., 6115., 6116., 6117., 6118., 6119]) + t += 2450000. + self.data = mm.MulensData(data_list=[t, t*0.+16., t*0.+0.01]) + + ac_name = 'Adaptive_Contouring' + methods = [2456113.5, 'Quadrupole', 2456114.5, 'Hexadecapole', + 2456116.5, + ac_name, 2456117.5] + accuracy_1 = {'accuracy': 0.04} + accuracy_2 = {'accuracy': 0.01, 'ld_accuracy': 0.00001} + + params = mm.ModelParameters({ + 't_0': t_0, 'u_0': u_0, 't_E': t_E, 'alpha': alpha, 's': s, + 'q': q, 'rho': rho}) + self.model_ac_1 = mm.Model(parameters=params) + self.model_ac_1.set_magnification_methods(methods) + self.model_ac_1.set_magnification_methods_parameters( + {ac_name: accuracy_1}) + + self.model_ac_2 = mm.Model(parameters=params) + # data.bandpass = 'I' + self.model_ac_2.set_limb_coeff_u('I', 10.) + # This is an absurd value but I needed something quick. + self.model_ac_2.set_magnification_methods(methods) + self.model_ac_2.set_magnification_methods_parameters( + {ac_name: accuracy_2}) + + def test_methods(self): + def test_model_methods(model): + assert model.default_magnification_method == 'point_source' + methods_compare = [ + 2456113.5, 'Quadrupole', 2456114.5, 'Hexadecapole', + 2456116.5, 'Adaptive_Contouring', 2456117.5] + assert model.methods == methods_compare + + test_model_methods(self.model_ac_1) + test_model_methods(self.model_ac_2) + + def test_methods_parameters_1(self): + # test get_magnification_methods_parameters() + assert (self.model_ac_1.get_magnification_methods_parameters( + 'Adaptive_Contouring') == + {'adaptive_contouring': {'accuracy': 0.04}}) + + def test_mag_calculation_1(self): + """Test calculation of magnification""" + result = self.model_ac_1.get_magnification(self.data.time) + expected = np.array([4.69183078, 2.87659723, 1.83733975, 1.63865704, + 1.61038135, 1.63603122, 1.69045492, 1.77012807]) + almost(result, expected, decimal=3) + + def test_methods_parameters_2(self): + """ + test get_magnification_methods_parameters() + and methods_parameters() + """ + AC = 'Adaptive_Contouring' + dict_1 = self.model_ac_2.get_magnification_methods_parameters(AC) + reference = {AC.lower(): {'accuracy': 0.01, 'ld_accuracy': 0.00001}} + assert dict_1 == reference + + def test_mag_calculation_2(self): + """Test calculation of magnification with limb darkening""" + result = self.model_ac_2.get_magnification( + self.data.time, gamma=self.model_ac_2.get_limb_coeff_gamma('I')) + almost(result[5], 1.6366862, decimal=3) + + +class TestMethodsParameters(unittest.TestCase): """ make sure additional parameters are properly passed to very inner functions """ - params = mm.ModelParameters({ - 't_0': t_0, 'u_0': u_0, 't_E': t_E, 'alpha': alpha, 's': s, - 'q': q, 'rho': rho}) - model = mm.Model(parameters=params) - - t = np.array([2456117.]) - methods = [2456113.5, 'Quadrupole', 2456114.5, 'Hexadecapole', 2456116.5, - 'VBBL', 2456117.5] - model.set_magnification_methods(methods) - - data = mm.MulensData(data_list=[t, t*0.+16., t*0.+0.01]) - result_1 = model.get_magnification(data.time) - - vbbl_options = {'accuracy': 0.1} - methods_parameters = {'VBBL': vbbl_options} - model.set_magnification_methods_parameters(methods_parameters) - result_2 = model.get_magnification(data.time) - - vbbl_options = {'accuracy': 1.e-5} - methods_parameters = {'VBBL': vbbl_options} - model.set_magnification_methods_parameters(methods_parameters) - result_3 = model.get_magnification(data.time) - - assert result_1[0] != result_2[0] - assert result_1[0] != result_3[0] - assert result_2[0] != result_3[0] + def setUp(self): + t = np.array([2456117.]) + self.data = mm.MulensData(data_list=[t, t*0.+16., t*0.+0.01]) + + self.params = mm.ModelParameters({ + 't_0': t_0, 'u_0': u_0, 't_E': t_E, 'alpha': alpha, 's': s, + 'q': q, 'rho': rho}) + methods = [2456113.5, 'Quadrupole', 2456114.5, 'Hexadecapole', + 2456116.5, 'VBBL', 2456117.5] + self.model_1 = mm.Model(parameters=self.params) + self.model_1.set_magnification_methods(methods) + + vbbl_options_2 = {'accuracy': 0.1} + methods_parameters_2 = {'VBBL': vbbl_options_2} + self.model_2 = mm.Model(parameters=self.params) + self.model_2.set_magnification_methods(methods) + self.model_2.set_magnification_methods_parameters(methods_parameters_2) + + vbbl_options_3 = {'accuracy': 1.e-5} + methods_parameters_3 = {'VBBL': vbbl_options_3} + self.model_3 = mm.Model(parameters=self.params) + self.model_3.set_magnification_methods(methods) + self.model_3.set_magnification_methods_parameters(methods_parameters_3) + + def test_methods(self): + def test_model_methods(model): + assert (model.default_magnification_method == 'point_source') + assert (model.methods == + [2456113.5, 'Quadrupole', 2456114.5, 'Hexadecapole', + 2456116.5, + 'VBBL', 2456117.5]) + + test_model_methods(self.model_1) + test_model_methods(self.model_2) + test_model_methods(self.model_3) + + def test_get_magnification_methods(self): + assert (self.model_1.get_magnification_methods() == + [2456113.5, 'Quadrupole', 2456114.5, 'Hexadecapole', + 2456116.5, + 'VBBL', 2456117.5]) + assert (self.model_1.get_magnification_methods(source=1) == + [2456113.5, 'Quadrupole', 2456114.5, 'Hexadecapole', + 2456116.5, + 'VBBL', 2456117.5]) + with self.assertRaises(IndexError): + self.model_1.get_magnification_methods(source=2) + + def test_mag_calculations(self): + result_1 = self.model_1.get_magnification(self.data.time) + result_2 = self.model_2.get_magnification(self.data.time) + result_3 = self.model_3.get_magnification(self.data.time) + + assert result_1[0] != result_2[0] + assert result_1[0] != result_3[0] + assert result_2[0] != result_3[0] + + def test_get_magnification_methods_parameters(self): + with self.assertRaises(KeyError): + self.model_1.get_magnification_methods_parameters('vbbl') + + assert (self.model_2.get_magnification_methods_parameters( + 'vbbl') == {'vbbl': {'accuracy': 0.1}}) + assert (self.model_3.get_magnification_methods_parameters( + 'vbbl') == {'vbbl': {'accuracy': 1.e-5}}) + + def test_default_magnification_methods(self): + """ + Test if methods are properly changed and + the warning is raised for deprecated method. + """ + model = mm.Model(self.params) + assert model.default_magnification_method == 'point_source' + + with warnings.catch_warnings(record=True) as warnings_: + warnings.simplefilter("always") + model.set_default_magnification_method('point_source_point_lens') + assert len(warnings_) == 1 + assert issubclass(warnings_[0].category, DeprecationWarning) + + assert model.default_magnification_method == 'point_source_point_lens' + + model.default_magnification_method = 'VBBL' + assert model.default_magnification_method == 'VBBL' def test_caustic_for_orbital_motion(): @@ -368,10 +465,19 @@ def test_model_binary_and_finite_sources(): (t1, t2) = (4999.95, 5000.05) (t3, t4) = (5099.95, 5100.05) finite = 'finite_source_uniform_Gould94' - model.set_magnification_methods( - [t1, finite, t2, 'point_source', t3, finite, t4]) - model_1.set_magnification_methods([t1, finite, t2]) - model_2.set_magnification_methods([t3, finite, t4]) + methods = [t1, finite, t2, 'point_source', t3, finite, t4] + model.set_magnification_methods(methods) + model_1.set_magnification_methods(methods) + model_2.set_magnification_methods(methods) + + def test_model_methods(test_model): + assert (test_model.default_magnification_method == 'point_source') + assert (test_model.methods == + [t1, finite, t2, 'point_source', t3, finite, t4]) + + test_model_methods(model) + test_model_methods(model_1) + test_model_methods(model_2) (f_s_1, f_s_2) = (100., 300.) time = np.linspace(4900., 5200., 4200) @@ -421,29 +527,50 @@ def test_binary_source_and_fluxes_for_bands(): almost(result_V, effective_mag_V) -def test_separate_method_for_each_source(): +class TestSeparateMethodForEachSource(unittest.TestCase): """ Checks if setting separate magnification method for each source in binary source models works properly. """ - model = mm.Model({'t_0_1': 5000., 'u_0_1': 0.01, 'rho_1': 0.005, + def setUp(self): + parameters = {'t_0_1': 5000., 'u_0_1': 0.01, 'rho_1': 0.005, 't_0_2': 5100., 'u_0_2': 0.001, 'rho_2': 0.005, - 't_E': 1000.}) - - model.set_magnification_methods( - [4999., 'finite_source_uniform_Gould94', 5101.], source=1) - # In order not to get "no FS method" warning: - model.set_magnification_methods( - [0., 'finite_source_uniform_Gould94', 1.], source=2) - out = model.get_magnification(5000., separate=True) - almost([out[0][0], out[1][0]], [103.46704167, 10.03696291]) - - model.set_magnification_methods( - [4999., 'finite_source_uniform_Gould94', 5001.], source=1) - model.set_magnification_methods( - [5099., 'finite_source_uniform_Gould94', 5101.], source=2) - out = model.get_magnification(5100., separate=True) - almost([out[0][0], out[1][0]], [9.98801936, 395.96963727]) + 't_E': 1000.} + self.model = mm.Model(parameters) + + def test_1(self): + self.model.set_magnification_methods( + [4999., 'finite_source_uniform_Gould94', 5101.], source=1) + # In order not to get "no FS method" warning: + self.model.set_magnification_methods( + [0., 'finite_source_uniform_Gould94', 1.], source=2) + out = self.model.get_magnification(5000., separate=True) + almost([out[0][0], out[1][0]], [103.46704167, 10.03696291]) + assert self.model.default_magnification_method == 'point_source' + assert (self.model.methods[1] == + [4999., 'finite_source_uniform_Gould94', 5101.]) + assert (self.model.methods[2] == + [0., 'finite_source_uniform_Gould94', 1.]) + assert (self.model.get_magnification_methods(source=1) == + [4999., 'finite_source_uniform_Gould94', 5101.]) + assert (self.model.get_magnification_methods(source=2) == + [0., 'finite_source_uniform_Gould94', 1.]) + assert (self.model.get_magnification_methods() == + {1: [4999., 'finite_source_uniform_Gould94', 5101.], + 2: [0., 'finite_source_uniform_Gould94', 1.]}) + + def test_2(self): + self.model.set_magnification_methods( + [4999., 'finite_source_uniform_Gould94', 5001.], source=1) + self.model.set_magnification_methods( + [5099., 'finite_source_uniform_Gould94', 5101.], source=2) + out = self.model.get_magnification(5100., separate=True) + almost([out[0][0], out[1][0]], [9.98801936, 395.96963727]) + assert self.model.default_magnification_method == 'point_source' + assert (self.model.methods[1] == + [4999., 'finite_source_uniform_Gould94', 5001.]) + assert (self.model.methods[2] == + [5099., 'finite_source_uniform_Gould94', 5101.]) def test_get_lc(): @@ -458,6 +585,14 @@ def test_get_lc(): almost(out, 19.668370500043526) +def test_is_finite_source(): + model_fs = mm.Model({'t_0': 10, 'u_0': 1, 't_E': 3, 'rho': 0.001}) + model_ps = mm.Model({'t_0': 10, 'u_0': 1, 't_E': 3}) + + assert model_fs.parameters.is_finite_source() + assert not model_ps.parameters.is_finite_source() + + def test_repr(): """Test if printing is Model instance is OK.""" parameters = {'t_0': 2454656.4, 'u_0': 0.003, diff --git a/source/MulensModel/tests/test_ModelParameters.py b/source/MulensModel/tests/test_ModelParameters.py index 5eaabb5e..739dcdc5 100644 --- a/source/MulensModel/tests/test_ModelParameters.py +++ b/source/MulensModel/tests/test_ModelParameters.py @@ -112,6 +112,7 @@ def test_repr_t_0_par(): assert (out_1 + out_2) == str(params) + def test_repr_t_0_kep(): """ Make sure that t_0_kep is printed properly if provided directly. @@ -124,13 +125,12 @@ def test_repr_t_0_kep(): alpha = 30. params = mm.ModelParameters( {'t_0': t_0, 'u_0': u_0, 't_E': t_E, 's': s, 'q': q, 'alpha': alpha, - 'ds_dt': 0.47, 'dalpha_dt': 3.14, - 't_0_kep': t_0+1}) + 'ds_dt': 0.47, 'dalpha_dt': 3.14, 't_0_kep': t_0+1}) - out_1 = (" t_0 (HJD) u_0 t_E (d) s q alpha (deg) ds/dt (/yr) dalpha/dt (deg/yr) " - "t_0_kep (HJD) \n") - out_2 = ("2456145.00000 0.010000 62.6300 1.00000 0.00300000 30.00000 0.47000 3.14000 " - "2456146.00000 ") + out_1 = (" t_0 (HJD) u_0 t_E (d) s q " + "alpha (deg) ds/dt (/yr) dalpha/dt (deg/yr) t_0_kep (HJD) \n") + out_2 = ("2456145.00000 0.010000 62.6300 1.00000 0.00300000 " + " 30.00000 0.47000 3.14000 2456146.00000 ") assert (out_1 + out_2) == str(params) diff --git a/source/MulensModel/tests/test_Model_Parallax.py b/source/MulensModel/tests/test_Model_Parallax.py index ac26cd20..205a2c2c 100644 --- a/source/MulensModel/tests/test_Model_Parallax.py +++ b/source/MulensModel/tests/test_Model_Parallax.py @@ -16,6 +16,8 @@ SAMPLE_FILE_03 = os.path.join(dir_1, 'ob140939_Spitzer.dat') # HJD' SAMPLE_FILE_03_EPH = os.path.join(dir_3, 'Spitzer_ephemeris_01.dat') # UTC SAMPLE_FILE_03_REF = os.path.join(dir_2, 'ob140939_Spitzer_ref_v1.dat') # HJD' +SAMPLE_FILE_04_EPH = os.path.join(dir_3, 'Spitzer_ephemeris_03.dat') # UTC +SAMPLE_FILE_04_REF = os.path.join(dir_2, 'gets_70.dat') # All in HJD': SAMPLE_ANNUAL_PARALLAX_FILE_01 = os.path.join(dir_2, 'parallax_test_1.dat') @@ -300,3 +302,35 @@ def test_horizons_3d(): np.testing.assert_almost_equal(vec_x, output.x) np.testing.assert_almost_equal(vec_y, output.y) np.testing.assert_almost_equal(vec_z, output.z) + + +def test_d_perp(): + """ + Test that the calculation of d_perp works correctly. + """ + ref_data = np.genfromtxt( + SAMPLE_FILE_04_REF, dtype=None, encoding='utf-8', + names=['HJD', 'qn', 'qe', 'qr']) + with open(SAMPLE_FILE_04_REF, 'r') as data_file: + line = data_file.readline() + coords = line.split('=')[1] + + params = {'t_0': 2458310.7772, 'u_0': -0.006877, 't_E': 15.931, + 'pi_E_N': 0., 'pi_E_E': 0.} + model = mm.Model( + params, coords=coords, ephemerides_file=SAMPLE_FILE_04_EPH) + trajectory = model.get_trajectory(ref_data['HJD'] + 2450000.) + d_perp = trajectory.d_perp + + # PSPL parameters shouldn't matter, so double-check that's true + model_prime = mm.Model( + params, coords=coords, ephemerides_file=SAMPLE_FILE_04_EPH) + model_prime.parameters.t_E = 3. + model_prime.parameters.t_0 = 2450000. + trajectory_prime = model_prime.get_trajectory(ref_data['HJD'] + 2450000.) + d_perp_prime = trajectory_prime.d_perp + np.testing.assert_allclose(d_perp, d_perp_prime) + + # Real d_perp test. + np.testing.assert_allclose( + d_perp, np.sqrt(ref_data['qn']**2 + ref_data['qe']**2), rtol=0.01) diff --git a/source/MulensModel/trajectory.py b/source/MulensModel/trajectory.py index b3759887..26461b09 100644 --- a/source/MulensModel/trajectory.py +++ b/source/MulensModel/trajectory.py @@ -138,6 +138,23 @@ def parallax_delta_N_E(self): """ return self._delta_N_E + @property + def d_perp(self): + """ + *np.ndarray* + + Projection of the Earth-Satellite + separation vector (in AU) on the sky. + """ + if (self.parallax['satellite'] and + self.satellite_skycoord is not None): + delta_satellite = self._get_delta_satellite() + return np.sqrt(delta_satellite['N']**2 + delta_satellite['E']**2) + else: + raise AttributeError( + 'Only valid for satellite parallax. ' + + 'satellite_skycoord must be provided.') + def get_xy(self): """ For a given set of parameters diff --git a/source/MulensModel/version.py b/source/MulensModel/version.py index b33b8dc0..6ebac24f 100644 --- a/source/MulensModel/version.py +++ b/source/MulensModel/version.py @@ -1 +1 @@ -__version__ = "2.17.5" +__version__ = "2.18.0"