def calc_anoms(params, MJD):
"""
Calculate the mean, eccentric, and true anomalies at the barycentric
epoch MJD (written by Scott Ransom)
Input
-----
params - a list of parameter values
MJD - the barycentric epoch MJD
Output
------
mean_anom - mean anomaly in radians
ecc_anom - eccentric enomaly in radians
true_anom - the true anomaly in radians
"""
MJD = myasarray(MJD)
difft = (MJD - params[3]) * SECPERDAY
sec_since_peri = fmod(difft, params[1])
sec_since_peri[sec_since_peri < 0.0] += params[1]
mean_anom = sec_since_peri / params[1] * TWOPI
ecc_anom = eccentric_anomaly(
[params[0], params[1], params[2], params[3], params[4], params[5]],
mean_anom)
true_anom = psr_utils.true_anomaly(ecc_anom, params[4])
return (mean_anom, ecc_anom, true_anom)
def calc_anoms(params, MJD):
"""
Calculate the mean, eccentric, and true anomalies at the barycentric
epoch MJD (written by Scott Ransom)
Input
-----
params - a list of parameter values
MJD - the barycentric epoch MJD
Output
------
mean_anom - mean anomaly in radians
ecc_anom - eccentric enomaly in radians
true_anom - the true anomaly in radians
"""
MJD = myasarray(MJD)
difft = (MJD - params[3])*SECPERDAY
sec_since_peri = fmod(difft, params[1])
sec_since_peri[sec_since_peri < 0.0] += params[1]
mean_anom = sec_since_peri/params[1]*TWOPI
ecc_anom = eccentric_anomaly([params[0],params[1],
params[2],params[3],params[4],
params[5]], mean_anom)
true_anom = psr_utils.true_anomaly(ecc_anom, params[4])
return (mean_anom, ecc_anom, true_anom)
def calc_anoms(self, MJD):
"""
calc_anoms(MJD):
Return a tuple of the mean, eccentric, and true anomalies (all
in radians) at the barycentric epoch MJD(s).
"""
MJD = myasarray(MJD)
difft = (MJD - self.T0) * SECPERDAY
sec_since_peri = Num.fmod(difft, self.PBsec)
sec_since_peri[sec_since_peri < 0.0] += self.PBsec
mean_anom = sec_since_peri / self.PBsec * TWOPI
ecc_anom = self.eccentric_anomaly(mean_anom)
true_anom = psr_utils.true_anomaly(ecc_anom, self.par.E)
return (mean_anom, ecc_anom, true_anom)
def calc_anoms(self, MJD):
"""
calc_anoms(MJD):
Return a tuple of the mean, eccentric, and true anomalies (all
in radians) at the barycentric epoch MJD(s).
"""
MJD = myasarray(MJD)
difft = (MJD - self.T0)*SECPERDAY
sec_since_peri = Num.fmod(difft, self.PBsec)
sec_since_peri[sec_since_peri < 0.0] += self.PBsec
mean_anom = sec_since_peri/self.PBsec*TWOPI
ecc_anom = self.eccentric_anomaly(mean_anom)
true_anom = psr_utils.true_anomaly(ecc_anom, self.par.E)
return (mean_anom, ecc_anom, true_anom)
