mcfacts.objects.agnobject.AGNBinaryStar

class mcfacts.objects.agnobject.AGNBinaryStar(star_mass1=None, star_mass2=None, star_log_radius1=None, star_log_radius2=None, star_Y1=None, star_Y2=None, star_Z1=None, star_Z2=None, bin_e=None, bin_a=None, bin_inc=None, cm_orb_a=None, cm_orb_inc=None, cm_orb_ecc=None, obj_num=None, **kwargs)

Bases: AGNObject

An array of binary stars. Should include all objects of this type. No other objects should include objects of this type. Properties of this class:

  • scalar properties of each star: masses, radius, Y,Z (star_mass1,star_mass2, star_radius1, star_radius2, …)

  • vector properties of each star: individual angular momentum vectors (spin1,spin_angle_1) relative to the z axis of the binary orbit, not SMBH

  • orbit properties: use a reduced mass hamiltonian, you have ‘r = r2 - r1’ (vector) for which we get bin_a, bin_e, bin_inc (relative to SMBH)

Creates an instance of the AGNObject class.

Parameters:
  • mass (numpy array) – masses in Msun

  • spin (numpy array) – spins

  • spin_angle (numpy array) – spin angles in radians

  • orb_a (numpy array) – orbital semi-major axis with respect to the SMBH in R_g

  • orb_inc (numpy array) – orbital inclination with respect to the SMBH

  • orb_ang_mom (numpy array) – orbital angular momentum with respect to the SMBH

  • orb_ecc (numpy array) – orbital eccentricity with respect to the SMBH

  • orb_arg_periapse (numpy array) – argument of the orbital periapse with respect to the SMBH set to -1 if not otherwise set. currently used only for retros

  • galaxy (numpy array) – galaxy iteration

  • time_passed (numpy array) – time passed

  • obj_num (int, optional) – number of objects, by default 0

  • id_start_val (numpy array) – ID numbers for the objects, by default 0

__init__(star_mass1=None, star_mass2=None, star_log_radius1=None, star_log_radius2=None, star_Y1=None, star_Y2=None, star_Z1=None, star_Z2=None, bin_e=None, bin_a=None, bin_inc=None, cm_orb_a=None, cm_orb_inc=None, cm_orb_ecc=None, obj_num=None, **kwargs)

Creates an instance of the AGNObject class.

Parameters:
  • mass (numpy array) – masses in Msun

  • spin (numpy array) – spins

  • spin_angle (numpy array) – spin angles in radians

  • orb_a (numpy array) – orbital semi-major axis with respect to the SMBH in R_g

  • orb_inc (numpy array) – orbital inclination with respect to the SMBH

  • orb_ang_mom (numpy array) – orbital angular momentum with respect to the SMBH

  • orb_ecc (numpy array) – orbital eccentricity with respect to the SMBH

  • orb_arg_periapse (numpy array) – argument of the orbital periapse with respect to the SMBH set to -1 if not otherwise set. currently used only for retros

  • galaxy (numpy array) – galaxy iteration

  • time_passed (numpy array) – time passed

  • obj_num (int, optional) – number of objects, by default 0

  • id_start_val (numpy array) – ID numbers for the objects, by default 0

Methods

__init__([star_mass1, star_mass2, ...])

Creates an instance of the AGNObject class.

add_binaries([new_star_mass1, ...])

add_objects([new_mass, new_spin, ...])

Append new objects to the AGNObject.

at_id_num(id_num[, attr])

Returns the attribute at the specified ID numbers

check_consistency()

Prints the size of each attribute to check that everything is consistent.

copy()

Creates a deep copy of the AGNObject

init_from_file([fname])

Reads in file from previous AGNObject.

keep_id_num(id_num_keep)

Filters AGNObject to only keep the objects at the specified ID numbers

keep_index(idx_keep)

Filters AGNObject to only keep the objects at the specified indices.

remove_id_num([id_num_remove])

Filters AGNObject to remove the objects at the specified ID numbers

remove_index([idx_remove])

Removes objects at specified indices.

return_params()

Gets list of parameters present in object.

return_record_array()

Returns a numpy dictionary of all attributes in the AGNObject

sort([sort_attr])

Sorts all attributes of the AGNObject by the passed attribute

to_txt([fname, cols, extra_header])

Loads AGNObject into temporary multi-dim numpy array and then uses np.savetxt to save to file.

unique_id_nums()

Checks that ID numbers are unique.

add_objects(new_mass=array([], dtype=float64), new_spin=array([], dtype=float64), new_spin_angle=array([], dtype=float64), new_orb_a=array([], dtype=float64), new_orb_inc=array([], dtype=float64), new_orb_ang_mom=array([], dtype=float64), new_orb_ecc=array([], dtype=float64), new_orb_arg_periapse=array([], dtype=float64), new_gen=array([], dtype=float64), new_galaxy=array([], dtype=float64), new_time_passed=array([], dtype=float64), new_id_num=array([], dtype=float64), obj_num=0)

Append new objects to the AGNObject. This method is not called directly, it is only called by the subclasses’ add methods.

Parameters:
  • new_mass (numpy array) – masses to be added

  • new_spin (numpy array) – spins to be added

  • new_spin_angle (numpy array) – spin angles to be added

  • new_orb_a (numpy array) – semi-major axes to be added

  • new_orb_inc (numpy array) – orbital inclinations to be added

  • new_orb_ang_mom (numpy array) – orbital angular momentum to be added

  • new_orb_ecc (numpy array) – orbital eccentricities to be added

  • new_orb_arg_periapse (numpy array) – orbital arguments of the periapse to be added

  • new_gen (numpy array) – generations to be added

  • new_galaxy (numpy array) – galaxy iteration to be added, set to -1 if not passed

  • new_time_passed (numpy array) – time passed to be added, set to -1 if not passed

  • new_id_num (numpy array,optional) – ID numbers to be added

  • obj_num (int, optional) – Number of objects to be added.

at_id_num(id_num, attr=None)

Returns the attribute at the specified ID numbers

Parameters:
  • id_num (numpy array or float) – ID numbers of objects to return

  • attr (str) – attribute to return

Returns:

val – specified attribute at specified ID numbers

Return type:

numpy array

check_consistency()

Prints the size of each attribute to check that everything is consistent. Raises an AttributeError if all arrays do not have the same length.

copy()

Creates a deep copy of the AGNObject

Parameters:

None

Returns:

copied_object – new copy of AGNObject with no references to original AGNObject

Return type:

AGNObject

init_from_file(fname=None)
Reads in file from previous AGNObject.

Not fully implemented. Would need to init AGNObject and then read from file?

Parameters:

fname (str) – file to read in

keep_id_num(id_num_keep)

Filters AGNObject to only keep the objects at the specified ID numbers

Parameters:

id_num_keep (numpy array) – ID numbers to keep, others are removed

keep_index(idx_keep)

Filters AGNObject to only keep the objects at the specified indices.

Parameters:

idx_keep (numpy array) – indices to keep, others are removed.

remove_id_num(id_num_remove=None)

Filters AGNObject to remove the objects at the specified ID numbers

Parameters:

id_num_keep (numpy array) – ID numbers to keep, others are removed

remove_index(idx_remove=None)

Removes objects at specified indices.

Parameters:

idx_remove (numpy array) – indices to remove

return_params()

Gets list of parameters present in object.

Parameters:

None

Returns:

parameters in object

Return type:

list

return_record_array()

Returns a numpy dictionary of all attributes in the AGNObject

Parameters:

None

Returns:

dat_out – dictionary array of all attributes in the AGNObject. Everything is written as a float.

Return type:

numpy dictionary

sort(sort_attr=None)

Sorts all attributes of the AGNObject by the passed attribute

Parameters:

sort_attr (AGNObject attribute array) – array to sort the AGNObject by

to_txt(fname=None, cols=None, extra_header=None)

Loads AGNObject into temporary multi-dim numpy array and then uses np.savetxt to save to file. Avoids the issue of pandas writing non-values as blanks instead of NaNs.

Parameters:
  • fname (str) – filename including path

  • cols (array of str) – array of header names to re-order or cut out columns, optional

  • extra_header (str) – extra information to go a line above the column names, optional

unique_id_nums()

Checks that ID numbers are unique.