From bf3b468fce3d9ff148fdb200a6b4abab5cfb8314 Mon Sep 17 00:00:00 2001 From: thomasdonlon Date: Sat, 24 Sep 2022 17:14:08 -0400 Subject: [PATCH] v1.4.5 --- build/lib/mwahpy/orbit_fitter.py | 50 ++++++----- build/lib/mwahpy/timestep.py | 2 +- changelog.txt | 12 +++ dist/mwahpy-1.4.3-py3-none-any.whl | Bin 144565 -> 0 bytes dist/mwahpy-1.4.3.tar.gz | Bin 1001344 -> 0 bytes mwahpy.egg-info/PKG-INFO | 2 +- .../__pycache__/output_handler.cpython-38.pyc | Bin 4227 -> 4345 bytes mwahpy/coords.py | 80 ++++++++++++------ mwahpy/orbit_fitter.py | 8 +- mwahpy/output_handler.py | 25 ++++-- mwahpy/plot.py | 14 ++- setup.py | 2 +- 12 files changed, 133 insertions(+), 62 deletions(-) delete mode 100644 dist/mwahpy-1.4.3-py3-none-any.whl delete mode 100644 dist/mwahpy-1.4.3.tar.gz diff --git a/build/lib/mwahpy/orbit_fitter.py b/build/lib/mwahpy/orbit_fitter.py index eb535a4..9144090 100644 --- a/build/lib/mwahpy/orbit_fitter.py +++ b/build/lib/mwahpy/orbit_fitter.py @@ -99,15 +99,15 @@ def calc_lam_bet(self, normal, point): ''' #do this in one place so it's uniform across the file and easily changeable -def make_orbit(params, int_ts=None): +def make_orbit(params, int_ts=None, pot=None): #negate the x velocity because galpy is in left-handed frame and we aren't barbarians o = Orbit(vxvv=[params[0]*u.deg, params[1]*u.deg, params[2]*u.kpc, -1*params[3]*u.km/u.s, params[4]*u.km/u.s, params[5]*u.km/u.s], uvw=True, lb=True, ro=8., vo=220., zo=0., solarmotion=[0, -220, 0]) if int_ts: #use the global ts unless explicitly provided with a different ts - o.integrate(int_ts, mwahpy_default_pot) + o.integrate(int_ts, pot) else: - o.integrate(ts, mwahpy_default_pot) + o.integrate(ts, pot) return o @@ -165,14 +165,14 @@ def get_closest_index(val, Lam): #get_model_from_orbit: data, orbit, vector, vector -> list(int) x3 #take in data, orbit, and plane info: Output model data corresponding to each data point -def get_model_from_orbit(data, params): +def get_model_from_orbit(data, params, pot=None): #data: the data that the orbit is being fit to #o: the test orbit that we are calculating the goodness-of-fit of #normal: the normal vector to the plane of the Great Circle we are estimating for the orbit #point: parameter for the axis generation of the Great Circle coordinates #initialize the orbit we are fitting - o = make_orbit(params) + o = make_orbit(params, pot=pot) #we flip it around so that we are fitting both the forwards and the backwards orbit o_rev = o.flip() @@ -221,13 +221,13 @@ def get_model_from_orbit(data, params): #chi_squared: data, galpy.Orbit() --> float #takes in the observed data and a test orbit and calculates the goodness-of-fit using a chi-squared method -def chi_squared(params, data=[]): +def chi_squared(params, data=[], pot=None): #data: the data that the orbit is being fit to #o: the test orbit that we are calculating the goodness-of-fit of #normal: the normal vector to the plane of the Great Circle we are estimating for the orbit #point: parameter for the axis generation of the Great Circle coordinates - B_model, d_model, vx_model, vy_model, vz_model, vgsr_model, costs = get_model_from_orbit(data, params) #get model data from orbit + B_model, d_model, vx_model, vy_model, vz_model, vgsr_model, costs = get_model_from_orbit(data, params, pot=pot) #get model data from orbit #B_model sometimes has different length than data.b, no idea why #I think it might be a race condition @@ -282,7 +282,7 @@ def chi_squared(params, data=[]): #optimize: data -> [float, float, float, float, float], (float, float, float), (float, float, float) #takes in data, then fits a Great Circle to that data and minimizes the chi_squared to fit an orbit to the data -def optimize(data_opt, max_it, bounds, guess, mode, **kwargs): +def optimize(data_opt, max_it, bounds, guess, mode, method='Nelder-Mead', pot=None, **kwargs): ''' ============================================================================ @@ -303,7 +303,7 @@ def optimize(data_opt, max_it, bounds, guess, mode, **kwargs): print(RuntimeWarning('Keyword `bounds` was not provided in `fit_orbit()` (required for differential evolution): using default bounds of [(0, 360), (-90, 90), (0, 100), (-500, 500), (-500, 500), (-500, 500)].')) bounds = [(0, 360), (-90, 90), (0, 100), (-500, 500), (-500, 500), (-500, 500)] - params = scopt.differential_evolution(chi_squared, bounds, args=(data_opt,), maxiter=max_it, popsize=pop_size, mutation=diff_scaling_factor, recombination=crossover_rate, workers=-1, disp=not(verbose), **kwargs).x + params = scopt.differential_evolution(chi_squared, bounds, args=(data_opt, pot,), maxiter=max_it, popsize=pop_size, mutation=diff_scaling_factor, recombination=crossover_rate, workers=-1, disp=not(verbose), **kwargs).x elif mode == 'gd': #do gradient descent @@ -313,14 +313,14 @@ def optimize(data_opt, max_it, bounds, guess, mode, **kwargs): #have to do it this way because you can't pass 'bounds' as a kwarg if bounds is not None: - params = scopt.minimize(chi_squared, guess, args=(data_opt,), bounds=bounds, options={'maxiter':max_it, 'disp':verbose}, **kwargs).x + params = scopt.minimize(chi_squared, guess, args=(data_opt, pot,), bounds=bounds, options={'maxiter':max_it, 'disp':verbose}, method=method, **kwargs).x else: - params = scopt.minimize(chi_squared, guess, args=(data_opt,), options={'maxiter':max_it, 'disp':verbose}, **kwargs).x + params = scopt.minimize(chi_squared, guess, args=(data_opt, pot,), options={'maxiter':max_it, 'disp':verbose}, method=method, **kwargs).x else: raise BaseException('`mode` for `fit_orbit()` must be either `de` for differential evolution, or `gd` for gradient descent.') - x2 = chi_squared(params, data_opt) + x2 = chi_squared(params, data=data_opt, pot=pot) return params, x2 @@ -332,7 +332,11 @@ def optimize(data_opt, max_it, bounds, guess, mode, **kwargs): def fit_orbit(l, b, b_err, d, d_err, vx=None, vy=None, vz=None, vgsr=None, \ vx_err=None, vy_err=None, vz_err=None, vgsr_err=None, max_it=100, \ - bounds=None, guess=None, t_len=None, mode='de', **kwargs): + bounds=None, guess=None, t_len=None, mode='de', pot=None, **kwargs): + + if pot is None: + print(RuntimeWarning("Didn't provide potential for constructing orbits! Using mwahpy_default_pot for potential model.")) + pot = mwahpy_default_pot #construct data #set proper flags based on input data @@ -367,7 +371,7 @@ def fit_orbit(l, b, b_err, d, d_err, vx=None, vy=None, vz=None, vgsr=None, \ print('===================================') #optimization - params, x2 = optimize(data_opt, max_it, bounds, guess, mode, **kwargs) + params, x2 = optimize(data_opt, max_it, bounds, guess, mode, pot=pot, **kwargs) print('===================================') print('Params: l, b, d, vx, vy, vz') @@ -385,9 +389,9 @@ def fit_orbit(l, b, b_err, d, d_err, vx=None, vy=None, vz=None, vgsr=None, \ ================================================================================ ''' -def plot_orbit_gal(l, b, d, params): +def plot_orbit_gal(l, b, d, params, pot=None): - o = make_orbit(params) + o = make_orbit(params, pot=pot) o_rev = o.flip() o_rev.integrate(ts, mwahpy_default_pot) @@ -417,14 +421,14 @@ def plot_orbit_gal(l, b, d, params): plt.show() -def plot_orbit_icrs(l, b, d, params): +def plot_orbit_icrs(l, b, d, params, pot=None): s = SkyCoord(l, b, frame='galactic', unit=(u.deg, u.deg)) s = s.transform_to('icrs') ra = s.ra dec = s.dec - o = make_orbit(params) + o = make_orbit(params, pot=pot) o_rev = o.flip() o_rev.integrate(ts, mwahpy_default_pot) @@ -473,7 +477,7 @@ def test(): ts = np.linspace(0, 0.25, 1000)*u.Gyr sample = np.array([100, 250, 400, 500, 600, 750, 850]) - o = make_orbit([test_o_l, test_o_b, test_o_d, test_o_vx, test_o_vy, test_o_vz]) + o = make_orbit([test_o_l, test_o_b, test_o_d, test_o_vx, test_o_vy, test_o_vz], pot=mwahpy_default_pot) l = np.take(o.ll(ts), sample) b = np.take(o.bb(ts), sample) @@ -493,11 +497,11 @@ def test(): test_orbit_data = OrbitData(l, b, d, None, None, None, None, b_err, d_err, None, None, None, None) print('Goodness-of-Fit of actual values:') - print(chi_squared([test_o_l, test_o_b, test_o_d, test_o_vx, test_o_vy, test_o_vz], data=test_orbit_data)) + print(chi_squared([test_o_l, test_o_b, test_o_d, test_o_vx, test_o_vy, test_o_vz], data=test_orbit_data, pot=mwahpy_default_pot)) - params, x2 = fit_orbit(l, b, b_err, d, d_err) - plot_orbit_gal(l, b, d, params) - plot_orbit_icrs(l, b, d, params) + params, x2 = fit_orbit(l, b, b_err, d, d_err, pot=mwahpy_default_pot) + plot_orbit_gal(l, b, d, params, pot=mwahpy_default_pot) + plot_orbit_icrs(l, b, d, params, pot=mwahpy_default_pot) ''' ================================================================================ diff --git a/build/lib/mwahpy/timestep.py b/build/lib/mwahpy/timestep.py index e91f014..f933b99 100644 --- a/build/lib/mwahpy/timestep.py +++ b/build/lib/mwahpy/timestep.py @@ -716,7 +716,7 @@ def get_self_energies(t): #compute the kinetic energy of each particle (within reference frame of #the COM's of the particles) - kin_energies = t.vx**2 + t.vy**2 + t.vz**2 + kin_energies = 0.5*(t.vx**2 + t.vy**2 + t.vz**2) energies = pot_energies + kin_energies diff --git a/changelog.txt b/changelog.txt index 6977186..e42d0ae 100644 --- a/changelog.txt +++ b/changelog.txt @@ -1,3 +1,15 @@ +v1.4.5: (MINOR PATCH) + - fixed bug where orbit fitter plots would use the mwahpy default potential even + if another was provided + - output_handler.read_output() now works for files with the tags format + - changed name of sky_to_pole() to pole_rotation(), because it was confusing. + sky_to_pole() is now an alias for pole_rotation() and causes a DeprecationWarning + - added pole_rotation_inv() function + - timestep.scatter() now has a 'cbar' keyword to turn on a colorbar & shade particles appropriately + - improved how .coords was checking types + - added eq_to_OC() transformation from ra/dec to Orphan-Chenab lambda/beta, + and OC_to_eq() inverse transformation + v1.4.4: (MINOR PATCH) - orbit_fitter gradient descent now uses Nelder-Mead optimizer by default, BFGS was terminating the optimization early diff --git a/dist/mwahpy-1.4.3-py3-none-any.whl b/dist/mwahpy-1.4.3-py3-none-any.whl deleted file mode 100644 index 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zljaJ+62Wl-3;y+aB1gVVaDpCR(^G38J1XAw5BDe&+|*T_a;I9^4v%2*@ISmTF{+q+ zbdX0=`fnsoO@&g_q+F(%ffbb_CQ%rbuj`*pPJYkEG3)diB* dNm?aXBcQF15s`j6@z2G1Z`{A`Ui3@;^#8Lqa_;~D diff --git a/mwahpy/coords.py b/mwahpy/coords.py index 03f31aa..8e5b3d6 100644 --- a/mwahpy/coords.py +++ b/mwahpy/coords.py @@ -15,29 +15,29 @@ #These functions aren't meant to be accessed by outside files or by end users, #and as such they are not well documented, named, or tested -def wrap_long(long, rad=False): +def wrap_long(lon, rad=False): if rad: - long = long * 180/np.pi + lon = lon * 180/np.pi use_array = True - if type(long) != type(np.array([])): + if not(isinstance(lon, np.ndarray)): use_array = False - long = np.array([long]) + lon = np.array([lon]) - for i in range(len(long)): - if long[i] < 0: - long[i] += 360 - elif long[i] > 360: - long[i] -= 360 + for i in range(len(lon)): + if lon[i] < 0: + lon[i] += 360 + elif lon[i] > 360: + lon[i] -= 360 if rad: - long = long * np.pi/180 + lon = lon * np.pi/180 if not use_array: - long = long[0] + lon = lon[0] - return long + return lon #rotate the given data around the provided axis #TODO: Allow array-like input @@ -72,7 +72,7 @@ def rot_around_arb_axis(x, y, z, ux, uy, uz, theta): def long_lat_to_unit_vec(l, b, left_handed=False, rad=False): use_array = True - if type(l) != type(np.array([])): + if not(isinstance(l, np.ndarray)): use_array = False l = np.array([l]) b = np.array([b]) @@ -126,7 +126,7 @@ def comp_wise_dot(M, v, normalize=False): def cart_to_gal(x, y, z, left_handed=False): #get l, b, r (helio) from galactocentric X, Y, Z coords use_array = True - if type(x) != type(np.array([])): + if not(isinstance(x, np.ndarray)): use_array = False x = np.array([x]) y = np.array([y]) @@ -152,7 +152,7 @@ def cart_to_gal(x, y, z, left_handed=False): def gal_to_cart(l, b, r, left_handed=False, rad=False): use_array = True - if type(l) != type(np.array([])): + if not(isinstance(l, np.ndarray)): use_array = False l = np.array([l]) b = np.array([b]) @@ -187,7 +187,7 @@ def gal_to_cart(l, b, r, left_handed=False, rad=False): def cart_to_cyl(x, y, z): use_array = True - if type(x) != type(np.array([])): + if not(isinstance(x, np.ndarray)): use_array = False x = np.array([x]) y = np.array([y]) @@ -206,7 +206,7 @@ def cart_to_cyl(x, y, z): def cyl_to_cart(R, z, phi): use_array = True - if type(R) != type(np.array([])): + if not(isinstance(R, np.ndarray)): use_array = False R = np.array([R]) phi = np.array([phi]) @@ -227,7 +227,7 @@ def cyl_to_cart(R, z, phi): def cart_to_sph(x, y, z): use_array = True - if type(x) != type(np.array([])): + if not(isinstance(x, np.ndarray)): use_array = False x = np.array([x]) y = np.array([y]) @@ -250,7 +250,7 @@ def cart_to_sph(x, y, z): def sph_to_cart(phi, theta, r): use_array = True - if type(phi) != type(np.array([])): + if not(isinstance(phi, np.ndarray)): use_array = False phi = np.array([phi]) theta = np.array([theta]) @@ -343,7 +343,7 @@ def get_vxvyvz(ra, dec, dist, rv, pmra, pmde): def get_rvpm(ra, dec, dist, U, V, W): use_array = True - if type(ra) != type(np.array([])): + if not(isinstance(ra, np.ndarray)): use_array = False ra = np.array([ra]) dec = np.array([dec]) @@ -438,7 +438,7 @@ def vlos_to_vgsr(l, b, vlos): #TODO: Allow ra, dec as inputs use_array = True - if type(l) != type(np.array([])): + if not(isinstance(l, np.ndarray)): use_array = False l = np.array([l]) b = np.array([b]) @@ -459,7 +459,7 @@ def vgsr_to_vlos(l, b, vgsr): #TODO: Allow ra, dec as inputs use_array = True - if type(l) != type(np.array([])): + if not(isinstance(l, np.ndarray)): use_array = False l = np.array([l]) b = np.array([b]) @@ -724,7 +724,7 @@ def sgr_to_gal(Lam, Bet): #------------------------------------------------------------------------------- -#sky_to_pole: array(float), array(float), tuple(float, float), tuple(float, float) -> array(float), array(float) +#pole_rotation: array(float), array(float), tuple(float, float), tuple(float, float) -> array(float), array(float) #rotate the positions on the sky (sky1, sky2) into a new frame determined by #the pole of the new frame (pole1, pole2) and the origin of the new frame (origin1, origin2) #The output is the longitude and latitude in the new coordinate frame @@ -734,7 +734,9 @@ def sgr_to_gal(Lam, Bet): #e.g. if sky1 is a list of RAs and sky2 is a list of Decs, then #the pole and origin arguments must also be specified in RA Dec. -def sky_to_pole(sky1, sky2, pole, origin, wrap=False, rad=False): +#sky_to_pole() is deprecated but it is an alias of this function + +def pole_rotation(sky1, sky2, pole, origin, wrap=False, rad=False): #sky1, sky2: positions of the data on the sky (e.g. sky1 = array(RA), sky2 = array(Dec), etc.) #pole: position of the pole of the new coordinate system, tuple #origin: position of the origin of the new coordinate system, tuple @@ -801,6 +803,36 @@ def sky_to_pole(sky1, sky2, pole, origin, wrap=False, rad=False): return Lam, Bet +#given the origin and pole for a pole_rotation (in Eq, galactic, etc.), and the new Lambda/Beta, +#returns the sky coordinates in whatever coordinates pole and origin were specified in +def pole_rotation_inv(Lam, Bet, pole, origin, **kwargs): + + new_lon, new_lat = pole_rotation(np.array([0, 0]), np.array([90, 0]), pole, origin, **kwargs) + new_pole = (new_lon[0], new_lat[0]) + new_origin = (new_lon[1], new_lat[1]) + sky1, sky2 = pole_rotation(Lam, Bet, new_pole, new_origin, **kwargs) + + return sky1, sky2 + +def sky_to_pole(sky1, sky2, pole, origin, wrap=False, rad=False): + + print(DeprecationWarning('sky_to_pole() is deprecated as of mwahpy v1.4.5. Please use pole_rotation() instead (sky_to_pole is now an alias for this). In future updates, this function may be removed.')) + + return pole_rotation(sky1, sky2, pole, origin, wrap=False, rad=False) + +#------------------------------------------------------------------------------- +#hard-coded pole_rotation transformations + +oc_pole = (72, -14) #koposov et al. (2019) orphan-chenab stream transformation (ra, dec) +oc_origin = (191.10487, 62.86084) + +def eq_to_OC(ra, dec, **kwargs): + return pole_rotation(ra, dec, oc_pole, oc_origin, **kwargs) + +def OC_to_eq(Lam, Bet, **kwargs): + return pole_rotation_inv(Lam, Bet, oc_pole, oc_origin, **kwargs) + + #=============================================================================== # RUNTIME #=============================================================================== diff --git a/mwahpy/orbit_fitter.py b/mwahpy/orbit_fitter.py index 9144090..9e77a34 100644 --- a/mwahpy/orbit_fitter.py +++ b/mwahpy/orbit_fitter.py @@ -389,12 +389,12 @@ def fit_orbit(l, b, b_err, d, d_err, vx=None, vy=None, vz=None, vgsr=None, \ ================================================================================ ''' -def plot_orbit_gal(l, b, d, params, pot=None): +def plot_orbit_gal(l, b, d, params, pot=mwahpy_default_pot): o = make_orbit(params, pot=pot) o_rev = o.flip() - o_rev.integrate(ts, mwahpy_default_pot) + o_rev.integrate(ts, pot) data_orbit, data_orbit_rev = get_OrbitData_from_orbit(o, o_rev) @@ -421,7 +421,7 @@ def plot_orbit_gal(l, b, d, params, pot=None): plt.show() -def plot_orbit_icrs(l, b, d, params, pot=None): +def plot_orbit_icrs(l, b, d, params, pot=mwahpy_default_pot): s = SkyCoord(l, b, frame='galactic', unit=(u.deg, u.deg)) s = s.transform_to('icrs') @@ -431,7 +431,7 @@ def plot_orbit_icrs(l, b, d, params, pot=None): o = make_orbit(params, pot=pot) o_rev = o.flip() - o_rev.integrate(ts, mwahpy_default_pot) + o_rev.integrate(ts, pot) data_orbit, data_orbit_rev = get_OrbitData_from_orbit(o, o_rev) data_orbit.icrs() diff --git a/mwahpy/output_handler.py b/mwahpy/output_handler.py index 8a7eca6..ffe662a 100644 --- a/mwahpy/output_handler.py +++ b/mwahpy/output_handler.py @@ -26,11 +26,19 @@ def remove_header(f): #f (open file): the milkyway ".out" file + has_bodies_tag = False #tracks if there are leading and trailing / tags in the .out file + comass = [] comom = [] - #first 3 lines are junk - for i in range(0, 3): + #first few lines are junk + line = f.readline() + if line.strip() == '': #exactly how many lines to skip depends on if we have the tags or not + n_skip = 3 + has_bodies_tag = True + else: + n_skip = 2 + for i in range(n_skip): f.readline() #next line has COM info @@ -41,7 +49,7 @@ def remove_header(f): comass = [float(line[0]), float(line[1]), float(line[2])] comom = [float(line[3]), float(line[4]), float(line[5])] - return comass, comom + return comass, comom, has_bodies_tag #parses a milkyway ".out" file and returns a Timestep class structure def read_output(f, start=None, stop=None): @@ -58,12 +66,17 @@ def read_output(f, start=None, stop=None): if stop is not None: flen -= stop if verbose: - print('\nReading in data from ' + str(f) + '...') + print(f"\nReading in data from {f}...") f = open(f, 'r') #remove the header, get relevant info from header - comass, comom = remove_header(f) + comass, comom, has_bodies_tag = remove_header(f) + + if has_bodies_tag: #have to account for the tag at the end of the file + if stop is not None: #if stop is given, then you assume it cuts off before the end of the file + stop = flen - 1 + flen -= 1 #store the data here temporarily array_dict = {0:[], 1:[], 2:[], 3:[], 4:[], 5:[], 6:[], 7:[], 8:[], 9:[], 10:[], 11:[]} @@ -102,7 +115,7 @@ def read_output(f, start=None, stop=None): #return the Timestep class using the array dictionary we built if verbose: - print('\n'+ str(len(array_dict[1])) + ' objects read in') + print(f"\n{len(array_dict[1])} objects read in") print('\rConverting data...', end='') d = Timestep(typ=array_dict[0], id_val=array_dict[1], x=array_dict[2], y=array_dict[3], z=array_dict[4], vx=array_dict[8], vy=array_dict[9], vz=array_dict[10], mass=array_dict[11], center_of_mass=comass, center_of_momentum=comom) if verbose: diff --git a/mwahpy/plot.py b/mwahpy/plot.py index 7d79aad..d8402e1 100644 --- a/mwahpy/plot.py +++ b/mwahpy/plot.py @@ -31,12 +31,22 @@ #=============================================================================== #generates a scatter plot of your Timestep object -def scatter(t, x, y, show=False, s=5.0, color='k', marker='o', **kwargs): +def scatter(t, x, y, cbar=None, show=False, s=5.0, color=None, marker='o', **kwargs): #t: the Timestep object to plot #x: the x-axis parameter #y: the y-axis parameter - plt.scatter(t[x], t[y], s=s, c=color, marker=marker, **kwargs) + if (cbar is not None) and (color is not None): + print(UserWarning("Provided both 'cbar' and 'color' argument. Using cbar argument for this plot.")) + + if color is None: + color = 'k' #default set to black, but this can't be assigned in the def line because we need to check if a user set it + + if cbar is not None: + plt.scatter(t[x], t[y], s=s, c=t[cbar], marker=marker, **kwargs) + plt.colorbar() + else: + plt.scatter(t[x], t[y], s=s, c=color, marker=marker, **kwargs) if show: plt.xlabel(x) diff --git a/setup.py b/setup.py index 9c48402..73796df 100644 --- a/setup.py +++ b/setup.py @@ -5,7 +5,7 @@ setuptools.setup( name="mwahpy", - version="1.4.4", + version="1.4.5", author="Tom Donlon", author_email="donlot@rpi.edu", description="A python package for easily parsing and processing data from MilkyWay@home",

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