| # %ECSV 1.0 | |
| # --- | |
| # datatype: | |
| # - {name: AUID, datatype: string} | |
| # - {name: Label, datatype: uint8} | |
| # - name: Umag | |
| # unit: mag | |
| # datatype: float64 | |
| # meta: !!omap | |
| # - {ucd: PHOT_JHN_U} |
| #!/usr/bin/env python | |
| # Script to standardize and fix up FITS headers from several different smart | |
| # telescopes (Seestar, DWARFLAB, Celestron Origin). Adds consistent MJD-OBS, | |
| # DATE-OBS, and DATE-END timestamps, as well as misc. cleanups. | |
| # | |
| # Author: C. Gobat | |
| import argparse | |
| import datetime as dt |
| #!/usr/bin/env python | |
| # | |
| # This script populates metadata in the headers of FITS files produced by a Celestron Origin | |
| # telescope, using information from an accompanying JSON file | |
| # | |
| # Author: @cgobat | |
| import json | |
| import argparse | |
| import numpy as np |
| #!/usr/bin/env python | |
| """Display/print current CPU temperature. | |
| Copyright Caden Gobat (@cgobat on GitHub) | |
| This program is free software. You may use, copy, modify, and/or redistribute it under the terms of the GNU GPL v3. | |
| The lm-sensors package (or whatever provides the `sensors` command on your distro) is required to run this program. | |
| This file is most useful if it is made executable and placed somewhere on your $PATH. |
| M104 S160 ; Start warming extruder to 160 | |
| M190 S{material_bed_temperature_layer_0} ; Wait for Heat Bed temperature | |
| G28 ; Home all axes | |
| G29 L ; Load UBL | |
| G29 A ; Activate the UBL System. | |
| G29 J ; 3-point level | |
| G92 E0 ; Reset Extruder | |
| G1 Z2.0 F3000 ; Move Z Axis up little to prevent scratching of Heat Bed | |
| G1 X0.1 Y20 Z0.5 F5000.0 ; Move to start position |
| print("This script has moved to https://github.com/cgobat/astro-instruments/blob/main/AstroHQ/astro_hq.py") |
Turns a FITS binary table of Gaia DR3 stars with tetra3-style database of stars with
| # see https://en.wikipedia.org/wiki/68–95–99.7_rule | |
| import numpy as np | |
| from scipy import special | |
| def sigma_to_pct_conf(z: float) -> float: | |
| """If an uncertainty is ±zσ, what is the corresponding confidence interval?""" | |
| return special.erf(z/np.sqrt(2)) | |
| def pct_conf_to_sigma(conf: float) -> float: |