Skip to main content

No project description provided

Project description


Exocounts computes various statistical noises of astronomical photon counts observations. Very easy task? Yes, I know, but people sometimes make mistakes in photon number calculations, which can have serious consequences.

Exocounts defines InstClass, TargetClass, ObsClass, something like that.

ejas.lamb = 1.35*u.micron #micron
ejas.dlam = 0.5*u.micron #micron
ejas.dtel = 0.35*u.m #telescope diameter m
ejas.dstel = 0.14*u.m #secondary telescope diameter m or 12.4 (3 tels)
ejas.throughput = 0.8
ejas.ndark = 15.5/u.s #dark current
ejas.nread = 15.0 #nr
ejas.fullwell = 150000.

target.teff = 3000.0*u.K #K
target.rstar = 0.2*const.R_sun #Rsolar
target.d = 15.0*u.pc #pc

obs.texposure = 0.0833*u.h #cadence [hour]
obs.tframe = 12.5*u.s  #time for one frame [sec]
obs.napix = 15 # number of the pixels in aperture 
S=1.8*1.8*np.pi #core size
obs.effnpix = S/3.0 #3 is an approx. increment factor of PSF

and then you can compute noises like that.

print("shot noise (sigma) in total [ppm]=",obs.sign_relative*1.e-6)
print("dark in total  [ppm]=",obs.sigd_relative*1.e-6)
print("readout in total  [ppm]=",obs.sigr_relative*1.e-6)

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

exocounts-0.1.0-py3.8.egg (33.0 kB view hashes)

Uploaded Source

exocounts-0.1.0-py2.py3-none-any.whl (14.3 kB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page