Ref: https://iopscience.iop.org/article/10.1088/2041-8205/801/1/L5/meta Reports upto Hershel SPIRE 500 um
250 $\mu m$ = 8.83 Jy
350 $\mu m$ = 6.24 Jy
500 $\mu m$ = 3.83 Jy
350 GHz -> 856.5 $\mu m$
FIR flux is dominated by a second embeded class 0 source. We will not be able to resolve them using APEX. Hence taking continuum is not needed.
Our main interest is to detect CO outflows and any change in CO lines in this source.
Ref: Ninan et al 2015
250 $\mu m$ = 6.86 Jy
350 $\mu m$ = 5.68 Jy
500 $\mu m$ = 4.06 Jy
350 GHz -> 856.5 $\mu m$
Flux expected at 350 GHz = 2.7 Jy
Size of the clump in 500 $\mu m$ SPIRE images = 50"
from scipy.constants import c
def micronToHz(micron):
return c/(micron*1e-6)
print('Test 856.5 micron = {0} Hz'.format(micronToHz(856.5)))
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
FnuArray = np.array([6.86,5.68,4.06])
MicronArray = np.array([250,350,500])
HzArray = micronToHz(MicronArray)
plt.loglog(MicronArray,FnuArray*HzArray)
plt.xlabel(r'$\mu m$')
plt.ylabel(r'$\nu*F_{\nu}$')
plt.show()
P1 = np.polyfit(np.log(MicronArray),np.log(FnuArray*HzArray), 1)
SED = np.poly1d(P1)
print('Extrapolated Jy at 856.5 micron ie. at 350 GHz = {0} Jy'.format(np.exp(SED(np.log(856.5)))/350e9))
Ref: https://iopscience.iop.org/article/10.1088/2041-8205/748/1/L5/meta#apjl420091r30
Longest wavelength available is only AKARI 160 $\mu m$ = 14.8 Jy
Very similar to V733 Cep and FU Ori.
If we assume an SED simillar to other FU Ors the expected flux at 350 Ghz is ~ 0.3 Jy
So we expect CO outflow detection.
Sub-mm SCUBA measurements give 0.3 Jy at 350 GHz ; size 14"
We are looking for CO outflow signatures
Ref: https://iopscience.iop.org/article/10.1088/0004-637X/756/1/99/meta
APEX SABOCA ( 350 $\mu m$) measurment in 2011 : 3.2 Jy
APEX LABOCA (870 $\mu m$) : 0.5 Jy
This source possibly show change in sub-mm flux between post and pre outburst. Hence good to study change in gas temperaure from CO lines. We are also looking fo CO outflow signatures.