remove COMShift everywhere
@@ -27,7 +27,6 @@ def Kick(dyn_syst, dt):
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def LP(dyn_syst, dt):
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def LP(dyn_syst, dt):
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dyn_syst.COMShift()
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Drift(dyn_syst, dt / 2)
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Drift(dyn_syst, dt / 2)
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Kick(dyn_syst, dt)
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Kick(dyn_syst, dt)
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Drift(dyn_syst, dt / 2)
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Drift(dyn_syst, dt / 2)
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@@ -43,16 +42,23 @@ def leapfrog(dyn_syst, bin_syst, duration, dt, recover_param=False, display=Fals
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d.launch(dyn_syst.blackstyle)
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d.launch(dyn_syst.blackstyle)
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N = np.ceil(duration / dt).astype(int)
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N = np.ceil(duration / dt).astype(int)
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E = np.zeros(N,dtype=np.longdouble)
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E = np.zeros(N+1,dtype=np.longdouble)
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L = np.zeros((N, 3),dtype=np.longdouble)
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L = np.zeros((N+1, 3),dtype=np.longdouble)
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sma = np.zeros(N,dtype=np.longdouble)
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sma = np.zeros(N+1,dtype=np.longdouble)
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ecc = np.zeros(N,dtype=np.longdouble)
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ecc = np.zeros(N+1,dtype=np.longdouble)
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phi = np.zeros(N,dtype=np.longdouble)
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phi = np.zeros(N+1,dtype=np.longdouble)
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for j in range(N):
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E[0] = dyn_syst.ECOM
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L[0] = dyn_syst.LCOM
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sma[0] = bin_syst.smaCOM
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ecc[0] = bin_syst.eccCOM
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phi[0] = dyn_syst.phi
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for j in range(1,N+1):
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LP(dyn_syst,dt)
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LP(dyn_syst,dt)
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E[j] = dyn_syst.E
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E[j] = dyn_syst.ECOM
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L[j] = dyn_syst.L
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L[j] = dyn_syst.LCOM
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sma[j] = bin_syst.smaCOM
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sma[j] = bin_syst.smaCOM
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ecc[j] = bin_syst.eccCOM
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ecc[j] = bin_syst.eccCOM
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phi[j] = dyn_syst.phi
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phi[j] = dyn_syst.phi
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@@ -69,7 +69,6 @@ def Correct(dyn_syst, dt): # correct position and velocities of bodies in syste
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def HPC(dyn_syst, dt): # update position and velocities of bodies in system with hermite predictor corrector
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def HPC(dyn_syst, dt): # update position and velocities of bodies in system with hermite predictor corrector
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dyn_syst.COMShift()
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Update_a(dyn_syst)
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Update_a(dyn_syst)
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Update_j(dyn_syst)
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Update_j(dyn_syst)
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Predict(dyn_syst, dt)
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Predict(dyn_syst, dt)
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@@ -89,17 +88,23 @@ def hermite(dyn_syst, bin_syst, duration, dt, recover_param=False, display=False
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d.launch(dyn_syst.blackstyle)
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d.launch(dyn_syst.blackstyle)
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N = np.ceil(duration / dt).astype(int)
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N = np.ceil(duration / dt).astype(int)
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E = np.zeros(N,dtype=np.longdouble)
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E = np.zeros(N+1,dtype=np.longdouble)
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L = np.zeros((N, 3),dtype=np.longdouble)
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L = np.zeros((N+1, 3),dtype=np.longdouble)
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sma = np.zeros(N,dtype=np.longdouble)
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sma = np.zeros(N+1,dtype=np.longdouble)
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ecc = np.zeros(N,dtype=np.longdouble)
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ecc = np.zeros(N+1,dtype=np.longdouble)
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phi = np.zeros(N,dtype=np.longdouble)
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phi = np.zeros(N+1,dtype=np.longdouble)
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for j in range(N):
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E[0] = dyn_syst.ECOM
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L[0] = dyn_syst.LCOM
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sma[0] = bin_syst.smaCOM
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ecc[0] = bin_syst.eccCOM
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phi[0] = dyn_syst.phi
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for j in range(1,N+1):
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HPC(dyn_syst, dt)
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HPC(dyn_syst, dt)
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E[j] = dyn_syst.E
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E[j] = dyn_syst.ECOM
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L[j] = dyn_syst.L
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L[j] = dyn_syst.LCOM
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sma[j] = bin_syst.smaCOM
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sma[j] = bin_syst.smaCOM
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ecc[j] = bin_syst.eccCOM
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ecc[j] = bin_syst.eccCOM
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phi[j] = dyn_syst.phi
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phi[j] = dyn_syst.phi
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@@ -24,10 +24,10 @@ class Body:
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self.vp = np.zeros(3,dtype=np.longdouble)
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self.vp = np.zeros(3,dtype=np.longdouble)
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def __repr__(self): # Called upon "print(body)"
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def __repr__(self): # Called upon "print(body)"
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return r"Body of mass: {0:.1e} $M_\odot$, position: {1}, velocity: {2}".format(self.m/Ms, self.q, self.v)
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return r"Body of mass: {0:.1e} $M_\odot$, position: {1}, velocity: {2}".format(self.m, self.q, self.v)
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def __str__(self): # Called upon "str(body)"
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def __str__(self): # Called upon "str(body)"
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return r"Body of mass: {0:.1e} $M_\odot$".format(self.m/Ms)
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return r"Body of mass: {0:.1e} $M_\odot$".format(self.m)
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@property
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@property
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def p(self):
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def p(self):
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@@ -67,19 +67,12 @@ class System(Body):
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zdata = np.array([body.q[2] for body in self.bodylist],dtype=np.longdouble)
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zdata = np.array([body.q[2] for body in self.bodylist],dtype=np.longdouble)
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return xdata, ydata, zdata
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return xdata, ydata, zdata
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def get_positionsCOM(self): #return the positions of the bodies in the center of mass frame
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def get_velocities(self): #return the positions of the bodies
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COM = self.COM
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vxdata = np.array([body.v[0] for body in self.bodylist],dtype=np.longdouble)
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xdata = np.array([body.q[0]-COM[0] for body in self.bodylist],dtype=np.longdouble)
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vydata = np.array([body.v[1] for body in self.bodylist],dtype=np.longdouble)
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ydata = np.array([body.q[1]-COM[1] for body in self.bodylist],dtype=np.longdouble)
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vzdata = np.array([body.v[2] for body in self.bodylist],dtype=np.longdouble)
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zdata = np.array([body.q[2]-COM[2] for body in self.bodylist],dtype=np.longdouble)
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return vxdata, vydata, vzdata
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return xdata, ydata, zdata
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def get_momenta(self): #return the momenta of the bodies
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pxdata = np.array([body.p[0] for body in self.bodylist],dtype=np.longdouble)
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pydata = np.array([body.p[1] for body in self.bodylist],dtype=np.longdouble)
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pzdata = np.array([body.p[2] for body in self.bodylist],dtype=np.longdouble)
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return pxdata, pydata, pzdata
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@property
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@property
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def M(self): #return total system mass
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def M(self): #return total system mass
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@@ -149,29 +142,24 @@ class System(Body):
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return E
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return E
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@property
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@property
|
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def LCOM(self): #return angular momentum in the center of mass of a binary system
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def ECOM(self): #return total energy of bodies in system in the center of mass frame
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#self.COMShiftBin()
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T, W = 0, 0
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LCOM = np.zeros(3,dtype=np.longdouble)
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COM, COMV = self.COM, self.COMV
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dr = self.bodylist[0].m/self.mu*self.bodylist[0].q#b
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dv = self.bodylist[0].m/self.mu*self.bodylist[0].v#b
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LCOM = self.mu*np.cross(dr,dv)
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return LCOM
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@property
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def ECOM(self): #return mechanical energy in the center of mass of a binary system
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#self.COMShiftBin()
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dr = self.bodylist[0].m/self.mu*self.bodylist[0].q#b
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dv = self.bodylist[0].m/self.mu*self.bodylist[0].v#b
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ECOM = self.mu/2.*np.linalg.norm(dv)**2 - Ga*self.M*self.mu/np.linalg.norm(dr)
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return ECOM
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@property
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def L(self): #return angular momentum of bodies in system
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L = np.zeros(3,dtype=np.longdouble)
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for body in self.bodylist:
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for body in self.bodylist:
|
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L = L + np.cross(body.q,body.p)
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T = T + 1./2.*body.m*np.linalg.norm(body.v-COMV)**2
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for otherbody in self.bodylist:
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if body != otherbody:
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rij = np.linalg.norm(body.q-otherbody.q)
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W = W - Ga*body.m*otherbody.m/rij
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E = T + W
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return E
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@property
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def LCOM(self): #return angular momentum of bodies in system
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L = np.zeros(3,dtype=np.longdouble)
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COM, COMV = self.COM, self.COMV
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for body in self.bodylist:
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L = L + np.cross(body.q-COM,body.p-body.m*COMV)
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return L
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return L
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@property
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@property
|
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@@ -187,6 +175,13 @@ class System(Body):
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E = T + W
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E = T + W
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return E
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return E
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@property
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def L(self): #return angular momentum of bodies in system in the center of mass frame
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L = np.zeros(3,dtype=np.longdouble)
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for body in self.bodylist:
|
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L = L + np.cross(body.q,body.p)
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return L
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@property
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@property
|
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def eccCOM(self): #exentricity of two body sub system
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def eccCOM(self): #exentricity of two body sub system
|
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if len(self.bodylist) == 2 :
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if len(self.bodylist) == 2 :
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48
lib/plots.py
@@ -53,7 +53,7 @@ class DynamicUpdate():
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self.lines = []
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self.lines = []
|
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for i,body in enumerate(self.dyn_syst.bodylist):
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for i,body in enumerate(self.dyn_syst.bodylist):
|
||||||
x, y, z = body.q
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x, y, z = body.q/au-self.dyn_syst.COM/au
|
||||||
lines, = self.ax.plot([x],[y],[z],'o',color="C{0:d}".format(i),label="{0:s}".format(str(body)))
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lines, = self.ax.plot([x],[y],[z],'o',color="C{0:d}".format(i),label="{0:s}".format(str(body)))
|
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self.lines.append(lines)
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self.lines.append(lines)
|
||||||
self.lines = np.array(self.lines)
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self.lines = np.array(self.lines)
|
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@@ -74,7 +74,7 @@ class DynamicUpdate():
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self.ax.set_zlabel('AU')
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self.ax.set_zlabel('AU')
|
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|
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def on_running(self, dyn_syst, step=None, label=None):
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def on_running(self, dyn_syst, step=None, label=None):
|
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xdata, ydata, zdata = dyn_syst.get_positions()
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xdata, ydata, zdata = dyn_syst.get_positionsCOM()
|
||||||
values = np.sqrt(np.sum((np.array((xdata,ydata,zdata))**2).T,axis=1))/au
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values = np.sqrt(np.sum((np.array((xdata,ydata,zdata))**2).T,axis=1))/au
|
||||||
self.min_x, self.max_x = -np.max([np.abs(values).max(),self.max_x]), np.max([np.abs(values).max(),self.max_x])
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self.min_x, self.max_x = -np.max([np.abs(values).max(),self.max_x]), np.max([np.abs(values).max(),self.max_x])
|
||||||
self.set_lims()
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self.set_lims()
|
||||||
@@ -134,30 +134,40 @@ def display_parameters(E,L,sma,ecc,phi,parameters,savename=""):
|
|||||||
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|
||||||
fig3 = plt.figure(figsize=(15,7))
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fig3 = plt.figure(figsize=(15,7))
|
||||||
ax3 = fig3.add_subplot(111)
|
ax3 = fig3.add_subplot(111)
|
||||||
ax3.plot(np.arange(sma[-1].shape[0])*step[-1]/yr, sma[-1]/au, label="a (step of {0:.2e}s)".format(step[-1]))
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for i in range(len(E)):
|
||||||
ax3.plot(np.arange(ecc[-1].shape[0])*step[-1]/yr, ecc[-1], label="e (step of {0:.2e}s)".format(step[-1]))
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ax3.plot(np.arange(E[i].shape[0])*step[-1]/yr, E[i], label="step of {0:.2e}s".format(step[i]))
|
||||||
ax3.set(xlabel=r"$t \, [yr]$", ylabel=r"$a \, [au] \, or \, e$")
|
ax3.set(xlabel=r"$t \, [yr]$", ylabel=r"$E \, [J]$")
|
||||||
ax3.legend()
|
ax3.legend()
|
||||||
fig3.suptitle("Semi major axis and eccentricity "+title2)
|
fig3.suptitle("Mechanical energy of the whole system "+title2)
|
||||||
fig3.savefig("plots/{0:s}a_e.png".format(savename),bbox_inches="tight")
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fig3.savefig("plots/{0:s}E.png".format(savename),bbox_inches="tight")
|
||||||
|
|
||||||
fig4 = plt.figure(figsize=(15,7))
|
fig4 = plt.figure(figsize=(15,7))
|
||||||
ax4 = fig4.add_subplot(111)
|
ax4 = fig4.add_subplot(111)
|
||||||
for i in range(len(E)):
|
for i in range(len(L)):
|
||||||
ax4.plot(np.arange(E[i].shape[0])*step[-1]/yr, E[i], label="step of {0:.2e}s".format(step[i]))
|
L2 = np.array([np.linalg.norm(Li)**2 for Li in L[i]])
|
||||||
ax4.set(xlabel=r"$t \, [yr]$", ylabel=r"$E \, [J]$")
|
ax4.plot(np.arange(L[i].shape[0])*step[i]/yr, L2, label=r"$L^2$ for step of {0:.2e}s".format(step[i]))
|
||||||
|
ax4.set(xlabel=r"$t \, [yr]$", ylabel=r"$\left|\vec{L}\right|^2 \, [kg^2 \cdot m^4 \cdot s^{-2}]$",yscale='log')
|
||||||
ax4.legend()
|
ax4.legend()
|
||||||
fig4.suptitle("Mechanical energy of the whole system "+title2)
|
fig4.suptitle("Squared norm of the kinetic moment of the whole system "+title2)
|
||||||
fig4.savefig("plots/{0:s}E.png".format(savename),bbox_inches="tight")
|
fig4.savefig("plots/{0:s}L.png".format(savename),bbox_inches="tight")
|
||||||
|
|
||||||
fig5 = plt.figure(figsize=(15,7))
|
fig5 = plt.figure(figsize=(15,7))
|
||||||
ax5 = fig5.add_subplot(111)
|
ax5 = fig5.add_subplot(111)
|
||||||
for i in range(len(phi)):
|
ax5.plot(np.arange(sma[-1].shape[0])*step[-1]/yr, sma[-1]/au, label="a (step of {0:.2e}s)".format(step[-1]))
|
||||||
ax5.plot(np.arange(phi[i].shape[0])*step[-1]/yr, phi[i], label="step of {0:.2e}s".format(step[i]))
|
ax5.plot(np.arange(ecc[-1].shape[0])*step[-1]/yr, ecc[-1], label="e (step of {0:.2e}s)".format(step[-1]))
|
||||||
ax5.set(xlabel=r"$t \, [yr]$", ylabel=r"$\phi \, [^{\circ}]$")
|
ax5.set(xlabel=r"$t \, [yr]$", ylabel=r"$a \, [au] \, or \, e$")
|
||||||
ax5.legend()
|
ax5.legend()
|
||||||
fig5.suptitle("Inclination angle of the perturbator's orbital plane "+title2)
|
fig5.suptitle("Semi major axis and eccentricity "+title2)
|
||||||
fig5.savefig("plots/{0:s}phi.png".format(savename),bbox_inches="tight")
|
fig5.savefig("plots/{0:s}a_e.png".format(savename),bbox_inches="tight")
|
||||||
|
|
||||||
|
fig6 = plt.figure(figsize=(15,7))
|
||||||
|
ax6 = fig6.add_subplot(111)
|
||||||
|
for i in range(len(phi)):
|
||||||
|
ax6.plot(np.arange(phi[i].shape[0])*step[-1]/yr, phi[i], label="step of {0:.2e}s".format(step[i]))
|
||||||
|
ax6.set(xlabel=r"$t \, [yr]$", ylabel=r"$\phi \, [^{\circ}]$")
|
||||||
|
ax6.legend()
|
||||||
|
fig6.suptitle("Inclination angle of the perturbator's orbital plane "+title2)
|
||||||
|
fig6.savefig("plots/{0:s}phi.png".format(savename),bbox_inches="tight")
|
||||||
|
|
||||||
plt.show(block=True)
|
plt.show(block=True)
|
||||||
|
|
||||||
6
main.py
@@ -12,9 +12,9 @@ from lib.units import *
|
|||||||
def main():
|
def main():
|
||||||
#initialisation
|
#initialisation
|
||||||
m = np.array([1., 1., 1e-1],dtype=np.longdouble)*Ms#/Ms # Masses in Solar mass
|
m = np.array([1., 1., 1e-1],dtype=np.longdouble)*Ms#/Ms # Masses in Solar mass
|
||||||
a = np.array([1., 1., 10.],dtype=np.longdouble)/2.*au#/au # Semi-major axis in astronomical units
|
a = np.array([1., 1., 10.],dtype=np.longdouble)*au#/au # Semi-major axis in astronomical units
|
||||||
e = np.array([0., 0., 0.25],dtype=np.longdouble) # Eccentricity
|
e = np.array([0., 0., 0.25],dtype=np.longdouble) # Eccentricity
|
||||||
psi = np.array([0., 0., 60.],dtype=np.longdouble)*np.pi/180. # Inclination of the orbital plane in degrees
|
psi = np.array([0., 0., 80.],dtype=np.longdouble)*np.pi/180. # Inclination of the orbital plane in degrees
|
||||||
|
|
||||||
x1 = np.array([0., -1., 0.],dtype=np.longdouble)*a[0]*(1.+e[0])
|
x1 = np.array([0., -1., 0.],dtype=np.longdouble)*a[0]*(1.+e[0])
|
||||||
x2 = np.array([0., 1., 0.],dtype=np.longdouble)*a[1]*(1.+e[1])
|
x2 = np.array([0., 1., 0.],dtype=np.longdouble)*a[1]*(1.+e[1])
|
||||||
@@ -27,7 +27,7 @@ def main():
|
|||||||
v = np.array([v1, v2, v3],dtype=np.longdouble)
|
v = np.array([v1, v2, v3],dtype=np.longdouble)
|
||||||
|
|
||||||
#integration parameters
|
#integration parameters
|
||||||
duration, step = 5000*yr, np.array([30.*86400.],dtype=np.longdouble) #integration time and step in seconds
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duration, step = 500*yr, np.array([30./1.*86400.],dtype=np.longdouble) #integration time and step in seconds
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step = np.sort(step)[::-1]
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step = np.sort(step)[::-1]
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integrator = "leapfrog"
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integrator = "leapfrog"
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n_bodies = 3
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n_bodies = 3
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Before Width: | Height: | Size: 111 KiB After Width: | Height: | Size: 111 KiB |
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Before Width: | Height: | Size: 37 KiB After Width: | Height: | Size: 34 KiB |
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Before Width: | Height: | Size: 95 KiB After Width: | Height: | Size: 89 KiB |
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Before Width: | Height: | Size: 95 KiB After Width: | Height: | Size: 60 KiB |
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Before Width: | Height: | Size: 31 KiB After Width: | Height: | Size: 31 KiB |
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Before Width: | Height: | Size: 56 KiB After Width: | Height: | Size: 184 KiB |
BIN
plots/3bodies_leapfrog_L.png
Normal file
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After Width: | Height: | Size: 34 KiB |
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Before Width: | Height: | Size: 67 KiB After Width: | Height: | Size: 62 KiB |
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Before Width: | Height: | Size: 57 KiB After Width: | Height: | Size: 134 KiB |
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Before Width: | Height: | Size: 63 KiB After Width: | Height: | Size: 34 KiB |
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Before Width: | Height: | Size: 56 KiB After Width: | Height: | Size: 213 KiB |