def spectrum_redshift_calc(private_key, sender_id, msg_id, mtype, params,
extra):
"""
spectrum_redshift_calc
"""
try:
info("spectrum_redshift_calc()")
try:
payload = DictionaryClass(params)
x = decode_string(payload.x)
y = decode_string(payload.y)
yerr = decode_string(payload.yerr)
from_redshift = float(payload.from_redshift)
to_redshift = float(payload.to_redshift)
sed = Sed(x, y, yerr, from_redshift)
sed.redshift(to_redshift)
payload.x = encode_string(sed.wavelength)
payload.y = encode_string(sed.flux)
payload.yerr = encode_string(sed.err)
reply_success(msg_id, mtype, payload)
except Exception, e:
reply_error(msg_id, sedexceptions.SEDException, e, mtype)
return
except Exception:
error(str(capture_exception()))
def stack_normalize(private_key, sender_id, msg_id, mtype, params,
extra):
try:
info("stack_normalize()")
try:
payload = DictionaryClass(params)
seds = []
for segment in payload.segments:
x = decode_string(segment.x)
y = decode_string(segment.y)
yerr = decode_string(segment.yerr)
id_ = str(segment.id)
seds.append(IrisSed(x=x, y=y, yerr=yerr, id=id_))
stack = IrisStack(seds)
result = normalize(stack, payload)
for i, segment in enumerate(payload.segments):
segment.x = encode_string(result[i].x)
segment.y = encode_string(result[i].y)
segment.yerr = encode_string(result[i].yerr)
segment.norm_constant = str(result[i].norm_constant)
payload.excludeds = result.excluded
reply_success(msg_id, mtype, payload.get_dict())
except Exception, e:
reply_error(msg_id, sedexceptions.SEDException, e, mtype)
return
except Exception:
error(str(capture_exception()))
def spectrum_redshift_calc(private_key, sender_id, msg_id, mtype, params,
extra):
"""
spectrum_redshift_calc
"""
try:
info("spectrum_redshift_calc()")
try:
payload = DictionaryClass(params)
x = decode_string(payload.x)
y = decode_string(payload.y)
yerr = decode_string(payload.yerr)
from_redshift = float(payload.from_redshift)
to_redshift = float(payload.to_redshift)
sed = Sed(x, y, yerr, from_redshift)
sed.redshift(to_redshift)
payload.x = encode_string(sed.wavelength)
payload.y = encode_string(sed.flux)
payload.yerr = encode_string(sed.err)
reply_success(msg_id, mtype, payload)
except Exception, e:
reply_error(msg_id, sedexceptions.SEDException, e, mtype)
return
except Exception:
error(str(capture_exception()))
def stack_redshift(private_key, sender_id, msg_id, mtype, params,
extra):
try:
info("stack_redshift()")
try:
payload = DictionaryClass(params)
seds = []
for segment in payload.segments:
x = decode_string(segment.x)
y = decode_string(segment.y)
yerr = decode_string(segment.yerr)
z = float(segment.z)
id_ = str(segment.id)
seds.append(IrisSed(x=x, y=y, yerr=yerr, z=z, id=id_))
z0 = float(payload.z0)
correct_flux = payload.correct_flux == "true"
result = redshift(IrisStack(seds), z0, correct_flux)
for i, segment in enumerate(payload.segments):
segment.x = encode_string(result[i].x)
segment.y = encode_string(result[i].y)
segment.yerr = encode_string(result[i].yerr)
payload.excludeds = result.excluded
reply_success(msg_id, mtype, payload.get_dict())
except Exception, e:
reply_error(msg_id, sedexceptions.SEDException, e, mtype)
return
except Exception:
error(str(capture_exception()))
def stack_normalize(private_key, sender_id, msg_id, mtype, params, extra):
try:
info("stack_normalize()")
try:
payload = DictionaryClass(params)
seds = []
for segment in payload.segments:
x = decode_string(segment.x)
y = decode_string(segment.y)
yerr = decode_string(segment.yerr)
id_ = str(segment.id)
seds.append(IrisSed(x=x, y=y, yerr=yerr, id=id_))
stack = IrisStack(seds)
result = normalize(stack, payload)
for i, segment in enumerate(payload.segments):
segment.x = encode_string(result[i].x)
segment.y = encode_string(result[i].y)
segment.yerr = encode_string(result[i].yerr)
segment.norm_constant = str(result[i].norm_constant)
payload.excludeds = result.excluded
reply_success(msg_id, mtype, payload.get_dict())
except Exception, e:
reply_error(msg_id, sedexceptions.SEDException, e, mtype)
return
except Exception:
error(str(capture_exception()))
def stack_redshift(private_key, sender_id, msg_id, mtype, params, extra):
try:
info("stack_redshift()")
try:
payload = DictionaryClass(params)
seds = []
for segment in payload.segments:
x = decode_string(segment.x)
y = decode_string(segment.y)
yerr = decode_string(segment.yerr)
z = float(segment.z)
id_ = str(segment.id)
seds.append(IrisSed(x=x, y=y, yerr=yerr, z=z, id=id_))
z0 = float(payload.z0)
correct_flux = payload.correct_flux == "true"
result = redshift(IrisStack(seds), z0, correct_flux)
for i, segment in enumerate(payload.segments):
segment.x = encode_string(result[i].x)
segment.y = encode_string(result[i].y)
segment.yerr = encode_string(result[i].yerr)
payload.excludeds = result.excluded
reply_success(msg_id, mtype, payload.get_dict())
except Exception, e:
reply_error(msg_id, sedexceptions.SEDException, e, mtype)
return
except Exception:
error(str(capture_exception()))
def spectrum_interpolate(private_key, sender_id, msg_id, mtype, params,
extra):
"""
spectrum_interpolate
"""
try:
info("spectrum_interpolate()")
try:
methods = {'Neville' : neville,
'Linear' : linear_interp,
'Nearest Neighbor' : nearest_interp,
'Linear Spline' : interp1d,
}
payload = DictionaryClass(params)
x = decode_string(payload.x)
y = decode_string(payload.y)
x_min = max(float(payload.x_min), min(x))
x_max = min(float(payload.x_max), max(x))
method = methods[payload.method]
info("method " + method.__name__)
n_bins = int(payload.n_bins)
log = payload.log=='true';
sed = Sed(x, y)
newSed = sed.interpolate(method, (x_min, x_max), n_bins, log);
filtered = False
if payload.smooth == "true":
info('smoothing')
newSed = filter(newSed)
newSed.smooth(int(payload.box_size))
if payload.normalize=="true":
info('normalizing')
if not filtered:
newSed = filter(newSed)
newSed.normalise()
payload.x = encode_string(newSed.wavelength)
payload.y = encode_string(newSed.flux)
reply_success(msg_id, mtype, payload)
info("success")
except Exception, e:
reply_error(msg_id, sedexceptions.SEDException, e, mtype)
error("error: " + repr(e))
return
except Exception:
error(str(capture_exception()))
def spectrum_interpolate(private_key, sender_id, msg_id, mtype, params, extra):
"""
spectrum_interpolate
"""
try:
info("spectrum_interpolate()")
try:
methods = {
'Neville': neville,
'Linear': linear_interp,
'Nearest Neighbor': nearest_interp,
'Linear Spline': interp1d,
}
payload = DictionaryClass(params)
x = decode_string(payload.x)
y = decode_string(payload.y)
x_min = max(float(payload.x_min), min(x))
x_max = min(float(payload.x_max), max(x))
method = methods[payload.method]
info("method " + method.__name__)
n_bins = int(payload.n_bins)
log = payload.log == 'true'
sed = Sed(x, y)
newSed = sed.interpolate(method, (x_min, x_max), n_bins, log)
filtered = False
if payload.smooth == "true":
info('smoothing')
newSed = filter(newSed)
newSed.smooth(int(payload.box_size))
if payload.normalize == "true":
info('normalizing')
if not filtered:
newSed = filter(newSed)
newSed.normalise()
payload.x = encode_string(newSed.wavelength)
payload.y = encode_string(newSed.flux)
reply_success(msg_id, mtype, payload)
info("success")
except Exception, e:
reply_error(msg_id, sedexceptions.SEDException, e, mtype)
error("error: " + repr(e))
return
except Exception:
error(str(capture_exception()))
def spectrum_integrate(private_key, sender_id, msg_id, mtype, params,
extra):
"""
spectrum_integrate
"""
try:
info("spectrum_integrate()")
try:
payload = DictionaryClass(params)
x = decode_string(payload.x)
y = decode_string(payload.y)
sed = Sed(x, y)
response = dict()
response['points'] = list()
for curve in payload.curves:
pb = Passband(curve.file_name)
flux = sed.calcFlux(pb)
point = dict()
point['id'] = curve.id
point['wavelength'] = curve.eff_wave
point['flux'] = str(flux)
response['points'].append(point)
for window in payload.windows:
xmin = float(window.min)
xmax = float(window.max)
flux = sed.integrate(xmin, xmax)
point = dict()
point['id'] = window.id
point['wavelength'] = str((xmax+xmin)/2)
point['flux'] = str(flux)
response['points'].append(point)
reply_success(msg_id, mtype, response)
except Exception, e:
reply_error(msg_id, sedexceptions.SEDException, e, mtype)
return
except Exception:
error(str(capture_exception()))
def spectrum_integrate(private_key, sender_id, msg_id, mtype, params, extra):
"""
spectrum_integrate
"""
try:
info("spectrum_integrate()")
try:
payload = DictionaryClass(params)
x = decode_string(payload.x)
y = decode_string(payload.y)
sed = Sed(x, y)
response = dict()
response['points'] = list()
for curve in payload.curves:
pb = Passband(curve.file_name)
flux = sed.calcFlux(pb)
point = dict()
point['id'] = curve.id
point['wavelength'] = curve.eff_wave
point['flux'] = str(flux)
response['points'].append(point)
for window in payload.windows:
xmin = float(window.min)
xmax = float(window.max)
flux = sed.integrate(xmin, xmax)
point = dict()
point['id'] = window.id
point['wavelength'] = str((xmax + xmin) / 2)
point['flux'] = str(flux)
response['points'].append(point)
reply_success(msg_id, mtype, response)
except Exception, e:
reply_error(msg_id, sedexceptions.SEDException, e, mtype)
return
except Exception:
error(str(capture_exception()))
def stack_stack(private_key, sender_id, msg_id, mtype, params, extra):
try:
info("stack_stack()")
try:
payload = DictionaryClass(params)
seds = []
for segment in payload.segments:
x = decode_string(segment.x)
y = decode_string(segment.y)
yerr = decode_string(segment.yerr)
seds.append(IrisSed(x=x, y=y, yerr=yerr))
i_stack = IrisStack(seds)
binsize = float(payload.binsize)
statistic = str(payload.statistic)
smooth = payload.smooth == "true"
smooth_binsize = float(payload.smooth_binsize)
logbin = payload.log_bin == "true"
result = sedstacker.sed.stack(i_stack,
binsize,
statistic,
fill='remove',
smooth=smooth,
smooth_binsize=smooth_binsize,
logbin=logbin)
payload.segments[0].x = encode_string(result.x)
payload.segments[0].y = encode_string(result.y)
payload.segments[0].yerr = encode_string(result.yerr)
payload.segments[0].counts = encode_string(result.counts)
payload.segments = [payload.segments[0]]
get_dict = payload.get_dict()
reply_success(msg_id, mtype, payload.get_dict())
except Exception, e:
reply_error(msg_id, sedexceptions.SEDException, e, mtype)
return
except Exception:
error(str(capture_exception()))
def stack_stack(private_key, sender_id, msg_id, mtype, params,
extra):
try:
info("stack_stack()")
try:
payload = DictionaryClass(params)
seds = []
for segment in payload.segments:
x = decode_string(segment.x)
y = decode_string(segment.y)
yerr = decode_string(segment.yerr)
seds.append(IrisSed(x=x, y=y, yerr=yerr))
i_stack = IrisStack(seds)
binsize = float(payload.binsize)
statistic = str(payload.statistic)
smooth = payload.smooth == "true"
smooth_binsize = float(payload.smooth_binsize)
logbin = payload.log_bin == "true"
result = sedstacker.sed.stack(i_stack, binsize, statistic, fill='remove', smooth=smooth, smooth_binsize=smooth_binsize, logbin=logbin)
payload.segments[0].x = encode_string(result.x)
payload.segments[0].y = encode_string(result.y)
payload.segments[0].yerr = encode_string(result.yerr)
payload.segments[0].counts = encode_string(result.counts)
payload.segments = [payload.segments[0]]
get_dict = payload.get_dict()
reply_success(msg_id, mtype, payload.get_dict())
except Exception, e:
reply_error(msg_id, sedexceptions.SEDException, e, mtype)
return
except Exception:
error(str(capture_exception()))
def set_data(self, datamaps):
if not numpy.iterable(datamaps):
raise TypeError("datamaps is not iterable")
# keys = ["x", "y", "staterror", "syserror", "weights"]
keys = ["x", "y", "staterror", "syserror"]
for ii, data in enumerate(datamaps):
for key in keys:
if data.has_key(key):
data[key] = decode_string(data[key])
info("decoding" + key)
self.session.set_data(ii, sherpa.data.Data1D(**data))
d = self.session.get_data(ii)
numpy.set_printoptions(precision=4, threshold=6)
info("DataSet %i x: " % ii + numpy.array2string(d.x))
info("DataSet %i y: " % ii + numpy.array2string(d.y))
info("DataSet %i staterror: " % ii + numpy.array2string(d.staterror))
def set_data(self, datamaps):
if not numpy.iterable(datamaps):
raise TypeError("datamaps is not iterable")
#keys = ["x", "y", "staterror", "syserror", "weights"]
keys = ["x", "y", "staterror", "syserror"]
for ii, data in enumerate(datamaps):
for key in keys:
if data.has_key(key):
data[key] = decode_string(data[key])
info('decoding' + key)
self.session.set_data(ii, sherpa.data.Data1D(**data))
d = self.session.get_data(ii)
numpy.set_printoptions(precision=4, threshold=6)
info("DataSet %i x: " % ii + numpy.array2string(d.x))
info("DataSet %i y: " % ii + numpy.array2string(d.y))
info("DataSet %i staterror: " % ii +
numpy.array2string(d.staterror))
