{"id":178,"date":"2014-11-12T23:53:22","date_gmt":"2014-11-12T23:53:22","guid":{"rendered":"http:\/\/www.eaobservatory.org\/jcmt\/?page_id=178"},"modified":"2021-01-05T15:50:28","modified_gmt":"2021-01-06T01:50:28","slug":"observing-modes","status":"publish","type":"page","link":"https:\/\/www.eaobservatory.org\/jcmt\/instrumentation\/continuum\/scuba-2\/observing-modes\/","title":{"rendered":"SCUBA-2 Observing Modes"},"content":{"rendered":"<p style=\"text-align: justify\"><div id=\"toc_container\" class=\"no_bullets\"><p class=\"toc_title\">Contents<\/p><ul class=\"toc_list\"><li><a href=\"#Scan_Patterns\"><span class=\"toc_number toc_depth_1\">1<\/span> Scan Patterns<\/a><ul><li><a href=\"#CV_Daisy\"><span class=\"toc_number toc_depth_2\">1.1<\/span> CV Daisy<\/a><\/li><li><a href=\"#Rotating_Pong_patterns\"><span class=\"toc_number toc_depth_2\">1.2<\/span> Rotating Pong patterns<\/a><ul><li><a href=\"#15-arcmin_Pong_map\"><span class=\"toc_number toc_depth_3\">1.2.1<\/span> 15-arcmin Pong map<\/a><\/li><li><a href=\"#30-arcmin_Pong_map\"><span class=\"toc_number toc_depth_3\">1.2.2<\/span> 30-arcmin Pong map<\/a><\/li><li><a href=\"#45-arcmin_Pong_map\"><span class=\"toc_number toc_depth_3\">1.2.3<\/span> 45-arcmin Pong map<\/a><\/li><li><a href=\"#1-degree_Pong_map\"><span class=\"toc_number toc_depth_3\">1.2.4<\/span> 1-degree Pong map<\/a><\/li><li><a href=\"#2-degree_Pong_map\"><span class=\"toc_number toc_depth_3\">1.2.5<\/span> 2-degree Pong map<\/a><\/li><\/ul><\/li><\/ul><\/li><li><a href=\"#A_Daisy_or_a_15-arcmin_Pong\"><span class=\"toc_number toc_depth_1\">2<\/span> A Daisy or a 15-arcmin Pong?<\/a><\/li><li><a href=\"#High_elevation_constraints\"><span class=\"toc_number toc_depth_1\">3<\/span> High elevation constraints<\/a><\/li><li><a href=\"#NEFD_versus_transmission\"><span class=\"toc_number toc_depth_1\">4<\/span> NEFD versus transmission<\/a><\/li><li><a href=\"#Noise_integration\"><span class=\"toc_number toc_depth_1\">5<\/span> Noise integration<\/a><\/li><li><a href=\"#Radial_dependence_of_noise_in_maps\"><span class=\"toc_number toc_depth_1\">6<\/span> Radial dependence of noise in maps<\/a><\/li><li><a href=\"#Filtering_SCUBA-2_data_and_large_scale_structure\"><span class=\"toc_number toc_depth_1\">7<\/span> Filtering SCUBA-2 data and large scale structure<\/a><\/li><\/ul><\/div>\n\n<h2 style=\"text-align: justify\"><span id=\"Scan_Patterns\">Scan Patterns<\/span><\/h2>\n<p style=\"text-align: justify\">There are two observing modes available with SCUBA-2; CV Daisy for\u00a0point sources and a rotating Pong pattern for larger scale\u00a0mapping. The choice of rotating Pong pattern will rely on two\u00a0dependent factors: (i) the size of the region you wish to observe (ii)\u00a0the size scales of extended structures you wish to recover.<\/p>\n<h3 style=\"text-align: justify\"><span id=\"CV_Daisy\">CV Daisy<\/span><\/h3>\n<p style=\"text-align: justify\">A &#8220;CV Daisy&#8221; (CV = constant velocity) is designed for small and compact sources of order\u00a03-arcmin or less, although there is significant exposure time in the\u00a0map out to 12-arcmin. The telescope executes a pseudo-circular pattern\u00a0at a speed of 155&#8243;\/s. This pattern keeps the target coordinate on the\u00a0array throughout the integration.<\/p>\n<p style=\"text-align: justify\">The telescope track for this\u00a0pattern is shown in the graph on the right below. The exposure time\u00a0map for a typical observation is shown in the image on the right\u00a0below. The image is scaled between 0-600 seconds. Contours indicating\u00a0100, 250 and 500 seconds are shown.<\/p>\n<p><a href=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/DaisyPattern.jpg\"><img loading=\"lazy\" class=\"alignnone size-medium wp-image-243 aligncenter\" src=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/DaisyPattern-300x253.jpg\" alt=\"DaisyPattern\" width=\"300\" height=\"253\" srcset=\"https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/DaisyPattern-300x253.jpg 300w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/DaisyPattern-177x150.jpg 177w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/DaisyPattern-150x126.jpg 150w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/DaisyPattern.jpg 656w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><br \/>\n<a href=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/DaisyExptime.jpg\"><img loading=\"lazy\" class=\"alignnone size-medium wp-image-244 aligncenter\" src=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/DaisyExptime-297x300.jpg\" alt=\"DaisyExptime\" width=\"297\" height=\"300\" srcset=\"https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/DaisyExptime-297x300.jpg 297w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/DaisyExptime-148x150.jpg 148w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/DaisyExptime.jpg 588w\" sizes=\"(max-width: 297px) 100vw, 297px\" \/><\/a><\/p>\n<h3 style=\"text-align: justify\"><span id=\"Rotating_Pong_patterns\">Rotating Pong patterns<\/span><\/h3>\n<p style=\"text-align: justify\">These are designed for mapping larger fields, and there are five sizes currently available (defined by their diameter): 900&#8243;, 1800&#8243;, 2700&#8243;, 3600&#8243; and 7200&#8243;.\u00a0 The telescope tracks across the defined sky area, filling it in by &#8220;bouncing&#8221; off the walls of this area. Once a pattern is complete the map is rotated and the pattern repeated at the new angle.<\/p>\n<p style=\"text-align: justify\">A full rotating Pong pattern with all repeats is set to take 40\u00a0minutes. Decreasing the number of repeats decreases the overall\u00a0exposure time. The parameter space of the telescope velocity, the\u00a0spacing between successive rows of the basic pattern and the number of\u00a0rotations have been explored to determine those which give the most\u00a0uniform coverage across the requested field.<\/p>\n<h4 style=\"text-align: justify\"><span id=\"15-arcmin_Pong_map\">15-arcmin Pong map<\/span><\/h4>\n<p style=\"text-align: justify\">The 15-arcmin Pong map (also known as pong900) pattern has a scan\u00a0spacing of 30&#8243;, telescope velocity of 280&#8243;\/s with 11 rotations of the\u00a0field (~ 8deg apart) within a ~40 minute integration.<\/p>\n<p style=\"text-align: justify\">The telescope track for this pattern is shown in the graph below. The exposure time map for a typical observation is shown\u00a0in the other image below. The image is scaled between 0-160\u00a0seconds. Contours indicating 50, 100 and 150 seconds are shown.<\/p>\n<p style=\"text-align: center\"><a href=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong900Pattern.jpg\"><img loading=\"lazy\" class=\"alignnone size-medium wp-image-248\" src=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong900Pattern-300x243.jpg\" alt=\"pong900Pattern\" width=\"300\" height=\"243\" srcset=\"https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong900Pattern-300x243.jpg 300w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong900Pattern-185x150.jpg 185w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong900Pattern-150x121.jpg 150w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong900Pattern.jpg 764w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><br \/>\n<a href=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong900Exptime.jpg\"><img loading=\"lazy\" class=\"alignnone size-medium wp-image-249\" src=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong900Exptime-300x300.jpg\" alt=\"pong900Exptime\" width=\"300\" height=\"300\" srcset=\"https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong900Exptime-300x300.jpg 300w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong900Exptime-150x150.jpg 150w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong900Exptime.jpg 531w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n<h4 style=\"text-align: justify\"><span id=\"30-arcmin_Pong_map\">30-arcmin Pong map<\/span><\/h4>\n<p style=\"text-align: justify\">The 30-arcmin Pong map (also known as pong1800) pattern has a scan\u00a0spacing of 60&#8243;, telescope velocity of 400&#8243;\/s with 8 rotations of the\u00a0field (~ 11.25 deg apart) within a ~40 minute integration.<\/p>\n<p style=\"text-align: justify\">The telescope track for this pattern is shown in the graph below. The exposure time map for a typical observation is shown\u00a0in the other image. The image is scaled between 0-40\u00a0seconds. Contours indicating 10, 20 and 30 seconds are shown.<\/p>\n<p style=\"text-align: center\"><a href=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong1800Pattern.jpg\"><img loading=\"lazy\" class=\"alignnone size-medium wp-image-251\" src=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong1800Pattern-300x240.jpg\" alt=\"pong1800Pattern\" width=\"300\" height=\"240\" srcset=\"https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong1800Pattern-300x240.jpg 300w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong1800Pattern-187x150.jpg 187w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong1800Pattern-150x120.jpg 150w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong1800Pattern.jpg 833w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><br \/>\n<a href=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong1800Exptime.jpg\"><img loading=\"lazy\" class=\"alignnone size-medium wp-image-250\" src=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong1800Exptime-300x300.jpg\" alt=\"pong1800Exptime\" width=\"300\" height=\"300\" srcset=\"https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong1800Exptime-300x300.jpg 300w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong1800Exptime-150x150.jpg 150w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong1800Exptime-149x150.jpg 149w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong1800Exptime.jpg 650w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n<h4 style=\"text-align: justify\"><span id=\"45-arcmin_Pong_map\">45-arcmin Pong map<\/span><\/h4>\n<p style=\"text-align: justify\">The 45-arcmin Pong map (also known as pong2700) pattern has a scan spacing of 105&#8243;, a telescope velocity of 540&#8243;\/s with 8 rotations of the field within a ~40 minute integration.<\/p>\n<p style=\"text-align: justify\">The telescope track for this pattern is shown in the graph below. The exposure time map for a typical observation is shown in the other image. The latter image is scaled between 0.5-11 seconds. Contours indicating 3, 6 and 9 seconds are shown.<\/p>\n<p><img loading=\"lazy\" class=\"aligncenter wp-image-11673\" src=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2021\/01\/Pong2700.jpg\" alt=\"\" width=\"289\" height=\"282\" srcset=\"https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2021\/01\/Pong2700.jpg 1472w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2021\/01\/Pong2700-300x293.jpg 300w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2021\/01\/Pong2700-1024x999.jpg 1024w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2021\/01\/Pong2700-768x749.jpg 768w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2021\/01\/Pong2700-150x146.jpg 150w\" sizes=\"(max-width: 289px) 100vw, 289px\" \/><\/p>\n<p><img loading=\"lazy\" class=\"aligncenter wp-image-11672\" src=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2021\/01\/point5_to_11_3_6_9.jpg\" alt=\"\" width=\"287\" height=\"295\" srcset=\"https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2021\/01\/point5_to_11_3_6_9.jpg 1112w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2021\/01\/point5_to_11_3_6_9-292x300.jpg 292w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2021\/01\/point5_to_11_3_6_9-995x1024.jpg 995w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2021\/01\/point5_to_11_3_6_9-768x790.jpg 768w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2021\/01\/point5_to_11_3_6_9-146x150.jpg 146w\" sizes=\"(max-width: 287px) 100vw, 287px\" \/><\/p>\n<h4 style=\"text-align: justify\"><span id=\"1-degree_Pong_map\">1-degree Pong map<\/span><\/h4>\n<p style=\"text-align: justify\">The 1-degree Pong map (also known as pong3600) pattern has a scan\u00a0spacing of 180&#8243;, telescope velocity of 600&#8243;\/s with 8 rotations of the\u00a0field (~ 11deg apart) within a ~40 minute integration.<\/p>\n<p style=\"text-align: justify\">The telescope track for this pattern is shown in the graph below. The exposure time map for a typical observation is shown\u00a0in the other image. The image is scaled between 0-9\u00a0seconds. Contours indicating the 3.5 and 7 seconds are shown.<\/p>\n<p style=\"text-align: center\"><a href=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong3600Pattern.jpg\"><img loading=\"lazy\" class=\"alignnone size-medium wp-image-252\" src=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong3600Pattern-300x242.jpg\" alt=\"pong3600Pattern\" width=\"300\" height=\"242\" srcset=\"https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong3600Pattern-300x242.jpg 300w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong3600Pattern-185x150.jpg 185w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong3600Pattern-150x121.jpg 150w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong3600Pattern.jpg 725w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><br \/>\n<a href=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong3600Exptime.jpg\"><img loading=\"lazy\" class=\"alignnone size-medium wp-image-253\" src=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong3600Exptime-295x300.jpg\" alt=\"pong3600Exptime\" width=\"295\" height=\"300\" srcset=\"https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong3600Exptime-295x300.jpg 295w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong3600Exptime-147x150.jpg 147w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong3600Exptime.jpg 564w\" sizes=\"(max-width: 295px) 100vw, 295px\" \/><\/a><\/p>\n<h4 style=\"text-align: justify\"><span id=\"2-degree_Pong_map\">2-degree Pong map<\/span><\/h4>\n<p style=\"text-align: justify\">The 2-degree Pong map (also known as pong7200) pattern has a scan spacing of 360&#8243;, telescope velocity of 600&#8243;\/s with 4 rotations of the field (~ 23deg apart) within a ~40 minute integration.<\/p>\n<p style=\"text-align: justify\">The telescope track for this pattern is shown in the graph below. The exposure time map for a typical observation is shown\u00a0in the other image. The image is scaled between 0-3\u00a0seconds. Contours indicating the 1.2 seconds are shown.<\/p>\n<p style=\"text-align: center\"><a href=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong7200Pattern.jpg\"><img loading=\"lazy\" class=\"alignnone size-medium wp-image-257\" src=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong7200Pattern-300x234.jpg\" alt=\"pong7200Pattern\" width=\"300\" height=\"234\" srcset=\"https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong7200Pattern-300x234.jpg 300w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong7200Pattern-191x150.jpg 191w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong7200Pattern-150x117.jpg 150w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong7200Pattern.jpg 732w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><br \/>\n<a href=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong7200Exptime.jpg\"><img loading=\"lazy\" class=\"alignnone size-medium wp-image-260\" src=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong7200Exptime-298x300.jpg\" alt=\"pong7200Exptime\" width=\"298\" height=\"300\" srcset=\"https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong7200Exptime-298x300.jpg 298w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong7200Exptime-150x150.jpg 150w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong7200Exptime-149x150.jpg 149w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong7200Exptime.jpg 780w\" sizes=\"(max-width: 298px) 100vw, 298px\" \/><\/a><\/p>\n<h2 style=\"text-align: justify\"><span id=\"A_Daisy_or_a_15-arcmin_Pong\">A Daisy or a 15-arcmin Pong?<\/span><\/h2>\n<p style=\"text-align: justify\">An issue that appears to come up regularly is that a pong900 is used\u00a0when possibly a CV Daisy would have been better, given that the latter is\u00a0much faster and actually gives significant exposure time out to 12<br \/>\narcmins. The numbers break down as follows:<\/p>\n<p style=\"text-align: justify\">For the same integration time, the rms in the center of a Daisy will\u00a0be more than <em>twice<\/em> as good as in a pong900. Out to a radius of about\u00a05.5 arcmin the noise will still be below the pong900 target noise.\u00a0Beyond this radius the noise will exceed the target noise, but that is\u00a0also the case for the pong900 (see the radial profiles below).<\/p>\n<p style=\"text-align: justify\"><i>I.e. the trade-off is between a flatter and slightly larger map\u00a0(pong900) and a somewhat smaller but much deeper map in the center\u00a0with a distinct noise gradient across the field (CV Daisy).<\/i><\/p>\n<p style=\"text-align: justify\">Detection experiments may well be better off with Daisies, although\u00a0statistical conclusions, such as number counts, may become more\u00a0complicated. The same may be true for isolated (i.e. non-mosaicked)\u00a0fields where one could ask if the negative impact of the noise\u00a0gradient and a smaller field out-weigh the benefits of a deeper\u00a0mapping across most of the image.<\/p>\n<p style=\"text-align: justify\">There are other possibilities, such as doing an initial exploratory\u00a0Daisy to the required depth in a 3-arcmin field (this can be done in less that 25% of the time it takes for a pong900) and then proceed with pongs on the most promising\u00a0candidate(s). Pong and Daisy fields can be combined. It may also be\u00a0beneficial to use a pattern of offset Daisies to mitigate somewhat for the more pronounced gradient or to better match the source morphology\u00a0in the field.<\/p>\n<h2 style=\"text-align: justify\"><span id=\"High_elevation_constraints\">High elevation constraints<\/span><\/h2>\n<p style=\"text-align: justify\">By monitoring observations taken over a range of dates an elevation dependence\u00a0in the exposure time has been found for all maps. This elevation dependence appears\u00a0to affect 15&#8242; pong maps observed at elevations greater than 65 degrees. The plot below\u00a0shows the median exposure time the inner 1.5&#8242; radius of the map.<\/p>\n<p style=\"text-align: justify\"><img class=\"decoded aligncenter\" src=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2015\/02\/pong900elevation.png\" alt=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2015\/02\/pong900elevation.png\" \/><\/p>\n<p style=\"text-align: justify\">An example of the telescope track and exposure map is given below. This particular observation was taken over an elevation range of 69-73degrees. The image on the left is scaled between 0-160 seconds. Contours indicating 50, 100 and 120 seconds are shown.<\/p>\n<p style=\"text-align: justify\"><img src=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2015\/02\/pong900Pattern_highel.png\" alt=\"\" width=\"48%\" \/><img src=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2015\/02\/pong900exptime_highel.png\" alt=\"\" width=\"40%\" \/><\/p>\n<p style=\"text-align: justify\">Because of this we adopt an elevation restriction of 70 degrees for all pong maps and of 75 degrees for CV daisies.<\/p>\n<h2><span id=\"NEFD_versus_transmission\"><a name=\"nefd\"><\/a>NEFD versus transmission<\/span><\/h2>\n<p style=\"text-align: justify\">The NEP corresponds to the noise in the raw data and is a combination of intrument and atmospheric noise. Measured NEPs in pW are shown on the plots below:<\/p>\n<p><img src=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2015\/02\/nep_450.png\" alt=\"\" width=\"48%\" \/> <img src=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2015\/02\/nep_850.png\" alt=\"\" width=\"48%\" \/><\/p>\n<p style=\"text-align: justify\">It should be noted that these measurements were taken from the first 10 seconds of data from a large number of observations without much selection on data quality. A number of effects can be seen. In the 450\u03bcm data there is a secondary track at NEP ~4.75e-16. These are times that an array (mostly s4c) for unknown reasons &#8216;locks&#8217; into a noisier state. The same effect is present in the 850\u03bcm data (mostly the s8d array), but is much less apparent.<\/p>\n<p>The magenta line shows the adopted fits to the data, which follow the lower edge of the distribution but are displaced to the median distribution of the NEP. However, at 850\u03bcm the NEP can be significantly worse than that on occasion! The cause of this is unclear at present and under active investigation, but appears to be atmospheric or environmental in nature and not intrinsic to the instrument. <b><i>Please make sure to revisit this page prior to the submission deadline for the latest information on this issue<\/i><\/b>.<\/p>\n<p>By applying a <a href=\"http:\/\/www.eaobservatory.org\/jcmt\/instrumentation\/continuum\/scuba-2\/calibration\/\">nominal FCFs<\/a> (537 @ 850\u03bcm and 491 @ 450\u03bcm) and a correction for the atmospheric attenuation at the respective wavelengths (see <a href=\"http:\/\/www.eaobservatory.org\/jcmt\/instrumentation\/continuum\/scuba-2\/time-and-sensitivity\/\">Integration times<\/a> page) the NEP can be converted to a NEFD. These, along with the above fits, are shown in the next plots as a function of transmission, <i>T<\/i>. Note that these are for a single, average bolometer and not the focal plane as a whole.<\/p>\n<p><img src=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2015\/02\/nefd_450.png\" alt=\"\" width=\"48%\" \/> <img src=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2015\/02\/nefd_850.png\" alt=\"\" width=\"48%\" \/><\/p>\n<p style=\"text-align: justify\">The linear fits of the NEP data then translate to the following equations for the effective NEFD, i.e. representative for the focal plane as a whole by adding the 1\/sqrt factor:<\/p>\n<p style=\"text-align: center\">\u00a0<img src=\"https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/plugins\/youngwhans-simple-latex\/mathtex.cgi?NEFD_{450}=\\bigg(\\frac{171.9}{T_{450}}-29.5\\bigg)\\frac{1}{\\sqrt_{3670}}}mJy\\sqrt{s}\" style=\"vertical-align:middle; float:top;\" border=\"0px\" \/><\/p>\n<p style=\"text-align: center\">\u00a0<img src=\"https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/plugins\/youngwhans-simple-latex\/mathtex.cgi?NEFD_{850}=\\bigg(\\frac{94.5}{T_{850}}-24.5\\bigg)\\frac{1}{\\sqrt_{3630}}}mJy\\sqrt{s}\" style=\"vertical-align:middle; float:top;\" border=\"0px\" \/><\/p>\n<p style=\"text-align: justify\">These equations, together with the exposure versus elapse relations from the next section, form the basis for the integration time relations<i><b>.<\/b><\/i><\/p>\n<h2><span id=\"Noise_integration\">Noise integration<\/span><\/h2>\n<p style=\"text-align: justify\">The graphs below show how the exposure time in the central 3-arcmin of the map increases with the elapsed time of the integration, and also how the noise <i>per pixel<\/i> in that same region decreases. Note that in all cases the noise integrates down with the square-root of time, as expected. Furthermore, although these relations can give an indication of how long it will take to get to a certain depth, it is only applicable for the conditions reported (air-mass, AM, and CSO tau). We advise that you use the relations on the main SCUBA-2 integration time calculation page.<\/p>\n<p><a href=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/850Timings.png\"><img loading=\"lazy\" class=\"alignnone size-full wp-image-3356\" src=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/850Timings.png\" alt=\"850Timings\" width=\"300\" height=\"301\" srcset=\"https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/850Timings.png 300w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/850Timings-150x150.png 150w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/850Timings-299x300.png 299w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><a href=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/450Timings.png\"><img loading=\"lazy\" class=\"alignnone size-medium wp-image-3392\" src=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/450Timings-300x300.png\" alt=\"450Timings\" width=\"300\" height=\"300\" srcset=\"https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/450Timings-300x300.png 300w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/450Timings-150x150.png 150w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/450Timings-149x150.png 149w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/450Timings.png 727w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n<p><a href=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/850noise.png\"><img loading=\"lazy\" class=\"alignnone size-medium wp-image-3352\" src=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/850noise-300x300.png\" alt=\"850noise\" width=\"300\" height=\"300\" srcset=\"https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/850noise-300x300.png 300w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/850noise-150x150.png 150w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/850noise.png 608w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><a href=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/450noise.png\"><img loading=\"lazy\" class=\"alignnone size-medium wp-image-3351\" src=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/450noise-300x300.png\" alt=\"450noise\" width=\"300\" height=\"300\" srcset=\"https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/450noise-300x300.png 300w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/450noise-150x150.png 150w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/450noise.png 608w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n<h2><span id=\"Radial_dependence_of_noise_in_maps\">Radial dependence of noise in maps<\/span><\/h2>\n<p style=\"text-align: justify\">For each of the standard map sizes, the (square root of the) exposure time in the map is used as a proxy for noise, and this is calculated as a function of radius. The graphs below show the uniformity of that noise across each map, with the grey dashed line signifying the demanded image size.<\/p>\n<p style=\"text-align: justify\">Below, the noise profile for the CV daisy observing mode is shown. This mapping mode is designed for point sources. Nevertheless, given the noise increases by ~35% out to a radius of 3-arcmin, this mode is still useful for mapping intermediate-sized, or compact, fields of the order of 3-6 arcmin.<\/p>\n<p style=\"text-align: justify\"><a href=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/DaisyRadialProfiles.png\"><img loading=\"lazy\" class=\" wp-image-3354 size-full aligncenter\" src=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/DaisyRadialProfiles.png\" alt=\"DaisyRadialProfiles\" width=\"608\" height=\"608\" srcset=\"https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/DaisyRadialProfiles.png 608w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/DaisyRadialProfiles-150x150.png 150w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/DaisyRadialProfiles-300x300.png 300w\" sizes=\"(max-width: 608px) 100vw, 608px\" \/><\/a><\/p>\n<p style=\"text-align: justify\">The graphs below show the same but for 15-arcmin, 30-arcmin, 1 degree and 2 degree pong maps. The noise remains quite uniform across the field, never getting above a 20% difference, relative to the centre of the map, by the edge of the demanded field size.<\/p>\n<p style=\"text-align: center\"><a href=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong900_radial.png\"><img loading=\"lazy\" class=\"alignnone size-medium wp-image-3348\" src=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong900_radial-300x300.png\" alt=\"pong900_radial\" width=\"300\" height=\"300\" srcset=\"https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong900_radial-300x300.png 300w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong900_radial-150x150.png 150w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong900_radial.png 620w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><a href=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong1800_radial.png\"><img loading=\"lazy\" class=\"alignnone size-medium wp-image-3349\" src=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong1800_radial-300x300.png\" alt=\"pong1800_radial\" width=\"300\" height=\"300\" srcset=\"https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong1800_radial-300x300.png 300w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong1800_radial-150x150.png 150w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong1800_radial.png 620w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><a href=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong3600_radial.png\"><img loading=\"lazy\" class=\"alignnone size-medium wp-image-3350\" src=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong3600_radial-300x300.png\" alt=\"pong3600_radial\" width=\"300\" height=\"300\" srcset=\"https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong3600_radial-300x300.png 300w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong3600_radial-150x150.png 150w, https:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2014\/11\/pong3600_radial.png 620w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n<h2><span id=\"Filtering_SCUBA-2_data_and_large_scale_structure\"><a name=\"filter\"><\/a>Filtering SCUBA-2 data and large scale structure<\/span><\/h2>\n<p style=\"text-align: justify\">In contrast to SCUBA-2&#8217;s predecessor, SCUBA which observed an area of sky while simultaneously chopping, SCUBA-2 removes atmospheric noise in the data processing stage. The power spectrum of data taken by SCUBA-2 has a 1\/f noise curve at lower frequencies. To ensure source signals are far away from this 1\/f region of the power spectrum, fast scan speeds are required. The maximum size of the structure that can be recovered from the power spectrum is determined by the scan speed and frequency cut applied to the data:<\/p>\n<p><img class=\"aligncenter\" src=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2015\/02\/scale.png\" alt=\"\" \/><\/p>\n<p style=\"text-align: justify\">When chosing your map size from the options above you should consider the scanning speed for that size pong. If you wish to recover large scale extended structure you are advised to use large pongs that scan at a faster rate rather than tiling smaller pong maps. Ultimately it is the size of the SCUBA-2 FOV that determines the sensitivity to large scale structure. Below is an image of the SCUBA-2 footprint with the eight sub arrays labeled.<\/p>\n<p><a href=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2015\/02\/s450array.png\"><img src=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2015\/02\/s450array.png\" alt=\"\" width=\"45%\" \/><\/a> <a href=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2015\/02\/s850array.png\"><img src=\"http:\/\/www.eaobservatory.org\/jcmt\/wp-content\/uploads\/sites\/2\/2015\/02\/s850array.png\" alt=\"\" width=\"45%\" \/><\/a><\/p>\n<p style=\"text-align: justify\">Typically SCUBA-2 is referred to as having a field of view (FOV) of 8 square arc minutes. As you see in the image above the FOV is not quite square and as such a FOV a value of approximately 600&#8221; is more representative. Removal of correlated signal typically sky or instrumental noise, which is common to all bolometers reduces the ability to detect contiguous structures larger than the FOV. This is referred to as common mode subtraction.<\/p>\n<p style=\"text-align: justify\">On a final note, during data reduction common mode subtraction on a per array basis is discouraged for sources not considered to be compact.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Scan Patterns There are two observing modes available with SCUBA-2; CV Daisy for\u00a0point sources and a rotating Pong pattern for larger scale\u00a0mapping. The choice of rotating Pong pattern will rely on two\u00a0dependent factors: (i) the size of the region you wish to observe (ii)\u00a0the size scales of extended structures you\u2026 <a class=\"continue-reading-link\" href=\"https:\/\/www.eaobservatory.org\/jcmt\/instrumentation\/continuum\/scuba-2\/observing-modes\/\">Continue reading<\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"parent":176,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.eaobservatory.org\/jcmt\/wp-json\/wp\/v2\/pages\/178"}],"collection":[{"href":"https:\/\/www.eaobservatory.org\/jcmt\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.eaobservatory.org\/jcmt\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.eaobservatory.org\/jcmt\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.eaobservatory.org\/jcmt\/wp-json\/wp\/v2\/comments?post=178"}],"version-history":[{"count":44,"href":"https:\/\/www.eaobservatory.org\/jcmt\/wp-json\/wp\/v2\/pages\/178\/revisions"}],"predecessor-version":[{"id":11676,"href":"https:\/\/www.eaobservatory.org\/jcmt\/wp-json\/wp\/v2\/pages\/178\/revisions\/11676"}],"up":[{"embeddable":true,"href":"https:\/\/www.eaobservatory.org\/jcmt\/wp-json\/wp\/v2\/pages\/176"}],"wp:attachment":[{"href":"https:\/\/www.eaobservatory.org\/jcmt\/wp-json\/wp\/v2\/media?parent=178"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}