From 2a59ea266f844963901a6b756fdf6a6be64156d2 Mon Sep 17 00:00:00 2001 From: mwcraig Date: Sun, 24 Nov 2024 00:11:11 +0000 Subject: [PATCH] deploy: e2d86e1e3b4ea2d7df407b6f80022ba0f09c180f --- v/dev/notebooks/01-06-Image-combination.html | 2 +- v/dev/notebooks/01-11-reading-images.html | 62 +++++++++---------- .../02-02-Calibrating-bias-images.html | 12 ++-- .../03-05-Calibrate-dark-images.html | 12 ++-- ...3-science-images-calibration-examples.html | 8 +-- ...-masks-into-calibrated-science-images.html | 2 +- v/dev/searchindex.js | 2 +- 7 files changed, 49 insertions(+), 51 deletions(-) diff --git a/v/dev/notebooks/01-06-Image-combination.html b/v/dev/notebooks/01-06-Image-combination.html index 1a0df79..8655f09 100644 --- a/v/dev/notebooks/01-06-Image-combination.html +++ b/v/dev/notebooks/01-06-Image-combination.html @@ -768,7 +768,7 @@

1.5.2. Combination method: average or me
-
<matplotlib.legend.Legend at 0x7efd145534d0>
+
<matplotlib.legend.Legend at 0x7fb6a82fda50>
 

 

 ../_images/01-06-Image-combination_8_1.png
diff --git a/v/dev/notebooks/01-11-reading-images.html b/v/dev/notebooks/01-11-reading-images.html
index d402a07..893b2ff 100644
--- a/v/dev/notebooks/01-11-reading-images.html
+++ b/v/dev/notebooks/01-11-reading-images.html
@@ -847,19 +847,19 @@ 
1.8.3. Option 1: Reading a single image
-
array([[ 1.93231885, -0.20554953,  1.11382749, ..., -0.48266713,
-         0.62491939,  0.32332385],
-       [-0.62965729,  0.25235816,  0.42799246, ...,  0.21027981,
-        -0.02531951, -0.03524356],
-       [-0.07380972, -1.30615523,  0.08721875, ..., -1.87320596,
-        -1.29376234, -0.24861751],
+
array([[ 0.2341024 ,  0.0886883 , -0.43032078, ..., -0.75214062,
+         0.23543571, -0.81959724],
+       [-0.53123304,  0.00828962, -0.13003293, ..., -0.19371957,
+        -0.12825977, -1.68561266],
+       [-0.75482136, -0.83648415, -0.19053338, ...,  0.01856515,
+        -0.67724466, -0.61606307],
        ...,
-       [ 1.50038478, -2.74012182,  1.15403477, ...,  0.78683255,
-        -1.00991427,  0.26186583],
-       [ 0.43151481,  0.1382379 ,  0.38706353, ...,  1.15553082,
-        -1.96669301,  0.11551855],
-       [ 1.23072078, -1.51645142, -0.26927057, ...,  1.10289169,
-        -0.85284388,  1.12601521]], dtype='>f8')
+       [-1.08225728,  0.25407755, -0.72736765, ..., -0.28221905,
+         0.97773887,  0.02857349],
+       [-1.51138547, -0.05298575,  0.57568942, ...,  0.62147688,
+         0.44542266, -0.46656935],
+       [ 0.07631423,  2.41562925,  0.79605736, ...,  0.96875243,
+         0.56625798,  1.64477419]], dtype='>f8')
@@ -909,19 +909,19 @@

1.8.4. Option 2: Use -
array([[ 1.93231885, -0.20554953,  1.11382749, ..., -0.48266713,
-         0.62491939,  0.32332385],
-       [-0.62965729,  0.25235816,  0.42799246, ...,  0.21027981,
-        -0.02531951, -0.03524356],
-       [-0.07380972, -1.30615523,  0.08721875, ..., -1.87320596,
-        -1.29376234, -0.24861751],
+
array([[ 0.2341024 ,  0.0886883 , -0.43032078, ..., -0.75214062,
+         0.23543571, -0.81959724],
+       [-0.53123304,  0.00828962, -0.13003293, ..., -0.19371957,
+        -0.12825977, -1.68561266],
+       [-0.75482136, -0.83648415, -0.19053338, ...,  0.01856515,
+        -0.67724466, -0.61606307],
        ...,
-       [ 1.50038478, -2.74012182,  1.15403477, ...,  0.78683255,
-        -1.00991427,  0.26186583],
-       [ 0.43151481,  0.1382379 ,  0.38706353, ...,  1.15553082,
-        -1.96669301,  0.11551855],
-       [ 1.23072078, -1.51645142, -0.26927057, ...,  1.10289169,
-        -0.85284388,  1.12601521]], dtype='>f8')
+       [-1.08225728,  0.25407755, -0.72736765, ..., -0.28221905,
+         0.97773887,  0.02857349],
+       [-1.51138547, -0.05298575,  0.57568942, ...,  0.62147688,
+         0.44542266, -0.46656935],
+       [ 0.07631423,  2.41562925,  0.79605736, ...,  0.96875243,
+         0.56625798,  1.64477419]], dtype='>f8')
@@ -958,7 +958,7 @@

1.8.5.1. Summary of directory contents
Table masked=True length=28 - +
@@ -1016,13 +1016,11 @@

1.8.5.2. Filtering and iterating over im
-
In file img-0018.fits the exposure is: 30.0 with standard deviation  1.0006305082274918
-In file img-0020.fits the exposure is: 30.0 with standard deviation  0.9951272812922944
-
-
-
In file img-0022.fits the exposure is: 30.0 with standard deviation  1.0013181677514156
-In file img-0024.fits the exposure is: 30.0 with standard deviation  0.9987948739214904
-In file img-0026.fits the exposure is: 30.0 with standard deviation  1.0047132884527286
+
In file img-0018.fits the exposure is: 30.0 with standard deviation  0.9994732838388732
+In file img-0020.fits the exposure is: 30.0 with standard deviation  1.0017460963203864
+In file img-0022.fits the exposure is: 30.0 with standard deviation  0.9945371306777717
+In file img-0024.fits the exposure is: 30.0 with standard deviation  1.0063754538403062
+In file img-0026.fits the exposure is: 30.0 with standard deviation  1.0032622075753466
diff --git a/v/dev/notebooks/02-02-Calibrating-bias-images.html b/v/dev/notebooks/02-02-Calibrating-bias-images.html index 759534d..720e43f 100644 --- a/v/dev/notebooks/02-02-Calibrating-bias-images.html +++ b/v/dev/notebooks/02-02-Calibrating-bias-images.html @@ -785,7 +785,7 @@

2.2.2.2. Make an image file collection f

Table length=14 -

filesimplebitpixnaxisnaxis1naxis2imagetypexposurebunitfilterobject
str13boolint64int64int64int64str5float64str3objectobject
img-0000.fitsTrue-642200300BIAS0.0adu----
+
@@ -813,7 +813,7 @@

2.2.2.2. Make an image file collection f
Table length=10 -

fileimagetypfilterexptimenaxis1naxis2
str14str9str2float64int64int64
ccd.001.0.fitsBIASi'0.020804128
+
@@ -858,7 +858,7 @@

2.2.2.3. Determine overscan region for t
Row index=0 -

fileimagetypexptime
str14str4float64
ccd.002.0.fitsBIAS0.0
+
@@ -1014,7 +1014,7 @@

2.2.2.7. Processing the folder of bias i
Table length=6 -

fileimagetypbiassecccdsecdatasec
str14str9str18str15str15
ccd.001.0.fitsBIAS[2049:2080,1:4127][1:2048,1:4128][1:2048,1:4128]
+
@@ -1053,7 +1053,7 @@

2.2.3.1. Decide where to put your calibr
Table length=32 -

fileimagetypnaxis1naxis2
str14str4int64int64
ccd.001.0.fitsBIAS20484128
+
@@ -1095,7 +1095,7 @@

2.2.3.2. Determine overscan region for t
Row index=0 -

fileimagetypfilterexptimenaxis1naxis2
str31str5objectfloat64int64int64
AutoFlat-PANoRot-r-Bin1-001.fitFLATr1.041094096
+
diff --git a/v/dev/notebooks/03-05-Calibrate-dark-images.html b/v/dev/notebooks/03-05-Calibrate-dark-images.html index 21504b2..a7b5459 100644 --- a/v/dev/notebooks/03-05-Calibrate-dark-images.html +++ b/v/dev/notebooks/03-05-Calibrate-dark-images.html @@ -720,7 +720,7 @@

3.4.1.1.1. Raw images, everything except
Table length=14 -

fileimagetypbiassectrimsec
str31str5str11str11
AutoFlat-PANoRot-r-Bin1-001.fitFLAT[4096:4109][1:4096, :]
+
@@ -750,7 +750,7 @@

3.4.1.1.2. Raw dark frames
Table length=10 -

fileimagetypexptimefilter
str14str9float64str2
ccd.001.0.fitsBIAS0.0i'
+
@@ -832,7 +832,7 @@

3.4.1.3.1. Reduced images (so far)
Table length=16 -

fileimagetypexptimefilter
str14str4float64str2
ccd.002.0.fitsBIAS0.0r'
+
@@ -891,7 +891,7 @@

3.4.2. Example 2: Overscan not subtracte
Table length=32 -

fileimagetypexptimefiltercombined
str17str4float64str2object
ccd.001.0.fitsBIAS0.0i'--
+
@@ -948,14 +948,14 @@

3.4.2. Example 2: Overscan not subtracte datatables: 'https://cdn.datatables.net/1.10.12/js/jquery.dataTables.min' }}); require(["datatables"], function(){ - console.log("$('#table140183202519888-170325').dataTable()"); + console.log("$('#table139993319013008-576263').dataTable()"); jQuery.extend( jQuery.fn.dataTableExt.oSort, { "optionalnum-asc": astropy_sort_num, "optionalnum-desc": function (a,b) { return -astropy_sort_num(a, b); } }); - $('#table140183202519888-170325').dataTable({ + $('#table139993319013008-576263').dataTable({ order: [], pageLength: 50, lengthMenu: [[10, 25, 50, 100, 500, 1000, -1], [10, 25, 50, 100, 500, 1000, 'All']], diff --git a/v/dev/notebooks/06-03-science-images-calibration-examples.html b/v/dev/notebooks/06-03-science-images-calibration-examples.html index 7da32e4..4da619d 100644 --- a/v/dev/notebooks/06-03-science-images-calibration-examples.html +++ b/v/dev/notebooks/06-03-science-images-calibration-examples.html @@ -707,7 +707,7 @@

5.1.2. Example 1
Table length=2 -

idxfileimagetypexposure
0AutoFlat-PANoRot-r-Bin1-001.fitFLAT1.0
1AutoFlat-PANoRot-r-Bin1-002.fitFLAT1.0
+
@@ -724,7 +724,7 @@

5.1.2. Example 1
Table length=6 -

date-obsfileobjectfilterexptime
str10str14str7str2float64
2016-01-16ccd.037.0.fitsvv124_1g'300.062
+
@@ -875,7 +875,7 @@

5.1.3. Example 2
Table length=2 -

date-obsfileimagetypobjectfilterexptime
str10str27str9str6str2float64
2016-01-15combined_bias.fitBIASbiasi'0.0
+
@@ -894,7 +894,7 @@

5.1.3. Example 2
Table length=3 -

date-obsfileobjectfilterexposure
str19str31objectobjectfloat64
2018-08-23T09:00:21kelt-16-b-S001-R001-C084-r.fitkelt-16br90.0
+
diff --git a/v/dev/notebooks/08-05-incorporating-masks-into-calibrated-science-images.html b/v/dev/notebooks/08-05-incorporating-masks-into-calibrated-science-images.html index 346e773..ece95e1 100644 --- a/v/dev/notebooks/08-05-incorporating-masks-into-calibrated-science-images.html +++ b/v/dev/notebooks/08-05-incorporating-masks-into-calibrated-science-images.html @@ -631,7 +631,7 @@

6.4.1. Read masks that are the same for
Table length=36 -

date-obsfileimagetypfilterexposure
str19str31str4objectfloat64
2018-08-23T11:20:07combined_bias.fitBIAS--0.0
+
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Astronomical Images","1.1. Understanding an astronomical CCD image","1.2. Construction of an artificial (but realistic) image","1.3. Nonuniform sensitivity","1.4. Calibration overview","1.5. Image combination","1.6. Overscan","1.7. Calibration choices you need to make","1.8. Reading images","2. Handling overscan, trimming, and bias subtraction","2.1. About bias and overscan","2.2. Calibrating bias images","2.3. Combine bias images to make master","3. Dark current and hot pixels","3.1. Dark current: the ideal case","3.2. Real dark current: noise and other artifacts","3.3. Handling overscan and bias for dark frames","3.4. Calibrate dark images","3.5. Combine calibrated dark images for use in later reduction steps","4. Flat corrections","4.1. More about flat corrections","4.2. Calibrating the flats","4.3. Combining flats","5. Reducing science images","5.1. 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t:[3,4,5,15,35],datat:18,date:[7,11,12,13,15,16,18,19,22,23,25,31],datfix:[7,11,12,13,16,18,19,22,23,25,31],davi:0,dawn:25,dc:10,dead:2,deal:16,dear:36,decid:[7,14,17,25,31,33],decis:[8,12],decor:[16,22,23,25],decreas:5,dedic:18,deepskyblu:11,def:[3,15,22,23,25,27,34,35],default_rng:[3,6],defect:[0,32,33],defin:[6,15,22,23,25],del:34,delete_branches_pr:36,delete_fd:34,demonstr:[5,6,12,15,16,32],densiti:[15,16,31],depend:[2,3,6,7,13,15,16,17,18,19,22,32,36],deposit:33,deprec:[7,18,22,23,25],depth:36,deriv:[31,32],describ:[7,9,13,19,22,25,33],descript:[7,33],desir:[3,9,11,15,25,34],despit:[16,19],detail:[0,1,2,6,9,12,22,27,33,34],detect:[23,33],detect_sourc:[27,32,33],detect_threshold:27,detector:[2,6,20,21,22,33],determin:[3,15,25,33,34],dev:[6,15],develop:[0,33,36],deviat:[3,6,9,15],diagram:6,dict:[3,25],dictionari:[22,25],did:[6,9,12,16,22],didn:[9,34],differ:[3,4,6,7,9,10,11,12,13,15,16,17,18,19,21,22,23,25,27,31,32,33,34],difficult:[0,20,27,33],digit:2,dim:[4,20],dimens:[3,9],dimension:[1,2,13],dimensionless_unsc:[31,32,33,34],direct:[3,6,7,16],directli:[1,2,3,6,9,33],directori:[0,12,13,19,22,34],disadvantag:26,discuss:[9,11,13,17,19,21,25,26,31,32,34],disk:12,displai:[3,5,6,12,16,22,23,25,32,33,34],display_cosmic_rai:33,disregard:22,dissip:33,distanc:6,distinguish:33,distrbut:6,distribut:[0,3,5,11,16,31],dive:[1,2],divid:[3,16,21,25,31,32],dividng:31,doc:18,document:[9,12,13,19,36],doe:[1,2,3,4,5,6,7,10,12,15,16,18,23,30,31,33,36],doesn:[3,6,12,15],doi:0,dokkum:33,dome:[21,23,32],domin:[6,16,21],don:[2,5],done:[0,6,12,23,25,27,32,33,36],donut:[2,4,22],dot:[3,5],doubl:32,doubt:0,down:[7,15,22,27],download:[3,12],download_data:0,download_fil:34,downsid:[6,33],downward:16,dozen:33,draft:[0,36],drawn:[6,33],dsitribut:15,dtype:[9,12,22,23],due:[2,15,16,21],duplic:22,dure:[1,2,10,13,19,27,30,31,32,33],dust:[2,4,20,22],e:[0,3,5,6,7,11,12,15,16,18,31,33],each:[0,1,2,3,5,6,7,9,10,12,13,15,18,22,23,25,27,30,31,32,33,34],earlier:[18,25,26,27,33,34,36],earth:33,easier:[3,9],easiest:6,easili:[13,19,36],ed:2,edg:[11,25,32,33],edit:3,editor:3,effect:[2,3,12,14,16,23,33],either:[0,6,7,19,20,27,33,36],electr:[12,16,18,22,25],electroluminesc:21,electron:[3,4,5,10,11,15,16,23,31,33],element:[1,2,4,23],elif:22,elimin:[2,6,16,27,32,33,36],ellipticalapertur:[3,4,5,15,35],els:[6,20,34],emit:16,emphas:11,empti:9,en:[3,18],encod:34,encount:[22,25],end:[5,7,11,12,15,22,33,36],energi:15,enough:[4,6,7,15,16,18,22,27,33],ensur:[2,3,9,16,22,27,33],entir:[3,7,16,34],enumer:25,env:[3,4,5,15,25,32,33,34,35],environ:[3,4,5,6,15,35],equal:[15,16,31],equat:4,equatori:[7,22,23,25],equival:[0,2,6,16,31],errno:34,error:[0,3,6,18,21,22,25],especi:[0,6],essenti:[1,2,3,6,7,12,13,16,19,21,23],estim:6,evalu:[6,7],even:[3,5,6,12,14,15,16,31,32,33],event:33,everi:[2,3,8,10,14,15,21,32],everyth:[0,3],everywher:6,evid:4,ex1_darks_raw:18,ex1_images_raw:18,ex1_images_reduc:18,ex1_path:32,ex1_path_raw:18,ex1_path_reduc:18,ex2_calibr:27,ex2_images_raw:18,ex2_images_reduc:18,ex2_path:[31,32,33,34],ex2_path_raw:18,ex2_path_reduc:18,exact:27,exactli:[5,8,13,19,26],exagger:[3,5,6],examin:[7,12,37],exampl:[0,3,6,9,11,15,17,27,32,33],example1:[12,13,18,19,22,23,25,32],example2:[12,13,18,19,22,23,25,27,31,32,33,34],example3:12,example_cryo_path:12,exce:[15,16],excel:[0,27],except:[2,3,5,9,17,22,27,32,34,35],excit:15,exclud:[0,6,16,31,33],execut:36,executepreprocessor:36,exept:2,exhaust:32,exist:12,exist_ok:[9,12,27],exoplanet:[31,33],exp:15,exp_tim:19,expect:[3,5,7,12,15,16,22,23,31,32,33],expected_exposure_tim:22,expected_mean:15,expected_mean_dark:15,expected_scal:15,experi:3,explain:[6,22,33],explicit:[18,34],explor:[9,15],expos:[7,10,12,32],exposur:[0,3,4,5,6,7,8,9,10,15,17,18,22,23,25,27,31,32,33,35],exposure_tim:[3,9,16,22,25,27],exposure_unit:[22,25,27],express:[5,6],exptim:[12,18,19,22,25],extend:[7,12,27,33],extens:9,extent:7,extra:[7,10],extract:[0,3],extrem:[3,12,13,14,19,23,32,33],f8:[9,22],f:9,fact:[1,2,19,33],factor:[6,13,15,16,19],fail:32,failur:27,faint:6,fair:6,fairli:[2,16,21,25,33],fall:31,fals:[3,6,15,16,22,25,31,32,33,35],familiar:0,far:[3,6,22,33,34],farther:6,fast:33,faster:6,feasibl:16,featur:[6,7,9,13,19,33],feedback:[0,36],feet:33,fell:[1,2],few:[3,4,6,7,8,9,12,15,16,21,27,31,33],field:[18,23,25,27,33,34],fig:[6,11,12,13,16,19,23,25,32],figsiz:[3,5,6,7,11,12,13,15,16,19,23,25,31,32,35],figur:[3,5,6,7,11,12,13,15,16,19,22,23,25,31,32,33,35],file:[3,4,5,7,9,11,13,15,18,19,22,23,25,31,32,34,35],file_nam:[12,18,22,25,34],fileimagetyp:34,fileimagetypbiassecccdsecdatasec:12,fileimagetypbiassectrimsec:12,fileimagetypexptim:12,fileimagetypexptimefilt:18,fileimagetypexptimefiltercombin:18,fileimagetypfilterexptimenaxis1naxis2:12,fileimagetypnaxis1naxis2:12,fileio:34,filenam:9,filenotfounderror:34,fileobj:34,files_filt:[12,13,18,19,22,23,34],filesimplebitpixnaxisnaxis1naxis2imagetypexposurebunitfilterobject:9,fill:25,filt:[9,23,25],filter:[2,4,12,18,20,23,25,27,32],final_imag:4,final_image2:4,financi:0,find:[6,7,22,25,33,36],find_nearest_dark_ex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