require more pixels to estimate the variance in the emission-line amplitude

moustakas commented 1 year ago

@yuvoonng

This PR addresses #124 by requiring more pixels when estimating the variance in the continuum around narrow emission lines, which more realistically helps identify lower signal-to-noise ratio lines. Previously, I required a minimum of just 3 pixels around each emission line; now I require 8.

Using the sample of 40 objects in #124, here are the new S/N distributions for [OIII] 4363:

And here are some numbers (where v1==Iron/v1.0 and v2==this branch.

Note that the final numbers may be affected by whatever we decide to do about #127, but nevertheless I'm planning to merge this PR as "the right thing to do" regardless.

     TARGETID     HEALPIX OIII_4363_AMP_V1 OIII_4363_AMP_SNR_V1 OIII_4363_AMP_V2 OIII_4363_AMP_SNR_V2 OIII_4363_FLUX_V1 OIII_4363_FLUX_SNR_V1 OIII_4363_FLUX_V2 OIII_4363_FLUX_SNR_V2 OIII_4363_NPIX_V1 OIII_4363_NPIX_V2
----------------- ------- ---------------- -------------------- ---------------- -------------------- ----------------- --------------------- ----------------- --------------------- ----------------- -----------------
39627474161632453   22658       0.80158347             5.891087       0.80158395            2.9583058        0.92319894             1.9468902        0.92283833             1.9461436                 4                11
39627618634434462   26747        0.6733961             5.064175       0.67379916            2.1789978         0.9386274             1.8015784        0.93921065             1.8025398                 4                11
39627637492024014   25867       0.79047346             8.422631       0.79109126            5.2172384         1.2159652             1.9418195         1.2169718             1.9434173                 5                11
39627654223107867   40932       0.78591675             9.234115        0.7847825            1.6301938         1.0199049             1.6069658         1.0184418             1.6046405                 4                11
39627666319479872   40921       0.81066114            7.5306277         0.810805            2.6544473        0.91887105             1.5535815          0.919182             1.5541008                 4                11
39627669842691869   18725        0.5316252            5.3706093        0.5355014             1.976125         0.7802198              1.819081        0.78486264             1.8299139                 4                11
39627670027243211   17381       0.46667323             9.136572       0.46973577            2.7710958         0.7375257             1.2820904        0.74322593             1.2921442                 4                11
39627690789048629   26843       0.44732478             5.195497       0.44594648            1.7869822         0.7357093               1.20796         0.7334782             1.2042744                 5                11
39627695281145847   22770       0.21985178            7.4032803       0.21985513           0.84066576          0.348808             1.1136082        0.34881973              1.113727                 5                11
39627701031539618   23170       0.43801486            5.8491445       0.43906757            1.3402303         0.6764019             1.4012468         0.6775936              1.403713                 5                11
39627702575043078   27182       0.47294968             6.322607       0.47416905             1.846187        0.72405344             1.3690087        0.72567046             1.3720732                 5                11
39627703137078588   25582       0.57705325            5.1240916       0.58554816            3.7218125         0.9055195             1.8060454         0.9185896             1.8324302                 4                11
39627714927265648   26846        0.6949042            5.5469003        0.6933647            0.9148465         1.0733902              1.709428         1.0715625             1.7066538                 4                11
39627720753154699   27190        0.7886953            4.4995437       0.79238564            1.5732528         1.1071881              1.773739         1.1125295             1.7823209                 4                11
39627726931361961   26874       0.57433814            4.5976515       0.57271695            1.2430793        0.99583966             1.8422568         0.9921845              1.835224                 5                11
39627751187022090   27041       0.63522214             7.062515         0.631589           0.92504865         1.0219741             1.7310627         1.0162596             1.7213202                 5                11
39627758367675205   31393       0.51248544             4.649577       0.51119226            1.4740845        0.92030156              1.246224         0.9182464              1.243726                 5                11
39627775828559337   26260       0.65429604            4.6281986        0.6556657            1.9260031         0.9489775             1.7162926         0.9511386             1.7202446                 5                11
39627782413617711   25939        0.5083716            14.933689        0.5093471            1.2257168         0.7112896             1.4406018         0.7131495             1.4443675                 5                11
39627785097974911   18005        0.6397867             5.112813        0.6399844             1.749702        0.85381156             1.8115039        0.85397017             1.8120984                 4                11
39627805482290470   27392       0.33002523            5.2760415       0.32240465            0.7105613         0.5286258             0.9741854        0.52071494            0.95960057                 5                11
39627806191124904   26206       0.36865926             4.394622       0.36706984            0.9876223        0.67476493             1.2042142        0.67146885             1.1982371                 5                11
39627823597490301   27394        0.5153714            7.8209496        0.5151445            2.0941715        0.87738895             1.8198375        0.87708586             1.8191003                 5                11
39627824050475588   26296       0.54618657            4.4056306        0.5522574            1.2003007        0.76921296             1.0480423         0.7779564             1.0598806                 4                11
39627835538670183   27247        0.5089733            4.1143155       0.50795835            1.5229132        0.84039867             1.7267444        0.84270453             1.7312112                 5                11
39627835538672534   27333        3.8113892             27.56169        3.8128314            11.473215        0.51993185             0.7544324         0.5199327             0.7544336                 4                11
39627841217758187   21882        0.6141452            22.553217         0.619206            1.0759573         1.0130118             1.9645466         1.0213217             1.9806235                 5                11
39627841792376926   27066       0.31702465            4.1005464        0.3185926            1.3931268        0.48621154             0.7462357        0.48829505             0.7494504                 5                11
39627842870313903    8198        0.4637944            4.1095233       0.46382633            1.5449972          0.588402            0.95486146        0.58827406            0.95451885                 4                11
39627853372854738   21877       0.99615806             4.682783        0.9950927            2.1056523         1.3110943             1.7061741         1.3094313             1.7039965                 4                11
39627859987271386   27104         0.852718             8.290379        0.8526726            3.2567976         1.1179242             1.8585533         1.1179563             1.8582861                 4                11
39627866949816418    8226       0.67286426             4.233593       0.67265123            2.2646456         0.8156081             1.6804136         0.8155647             1.6803243                 4                11
39627890333058327   27683       0.39008853            4.2548943       0.38939545            1.0865473         0.6478823             1.1444217         0.6463846             1.1418637                 5                11
39627920599157550   27712       0.69655937            4.9202476        0.6964924            1.9760405         1.0042146             1.6750036         1.0042843             1.6753504                 4                11
39627920959866996   26434       0.59808594            4.1380196        0.6001812            1.3815353         0.8762208             1.7679856          0.879395             1.7744712                 4                11
39627926802532979   26496        1.0195965            11.714091        1.0217545            2.9777873        0.51123863             0.8752846          0.512901             0.8781404                 4                11
39627927075161805   26098       0.45716396             4.694467       0.45529318            0.6680193         0.6835449             1.0091693         0.6806857             1.0049564                 5                11
39627927385543026   31467        1.3129799            15.687575        1.3216143             4.639828        0.46966967             0.8986222        0.46946162            0.89825404                 4                11
39627927716890322   31511        0.3750537            4.4886284        0.3771995            1.2271975         0.5803369             1.1031259        0.58315057             1.1084574                 5                11
39627932993323600   26434        0.5166419            5.6894937        0.5162561            1.6211717        0.79294723             1.3825387        0.79221344             1.3812279                 5                11

coveralls commented 1 year ago

Pull Request Test Coverage Report for Build 5719858714

129 of 186 (69.35%) changed or added relevant lines in 5 files are covered.
6 unchanged lines in 3 files lost coverage.
Overall coverage increased (+0.8%) to 51.618%

Changes Missing Coverage	Covered Lines	Changed/Added Lines	%
py/fastspecfit/emlines.py	97	104	93.27%
py/fastspecfit/fastspecfit.py	1	10	10.0%
py/fastspecfit/util.py	6	16	37.5%
py/fastspecfit/io.py	23	38	60.53%
py/fastspecfit/continuum.py	2	18	11.11%
<!--	Total:	129	186	69.35%	-->

Files with Coverage Reduction	New Missed Lines	%
py/fastspecfit/emlines.py	2	50.57%
py/fastspecfit/fastspecfit.py	2	13.32%
py/fastspecfit/io.py	2	53.88%
<!--	Total:	6	-->

Totals
Change from base Build 5657428145:	0.8%
Covered Lines:	2345
Relevant Lines:	4543

💛 - Coveralls

moustakas commented 1 year ago

Drilling into 39627835538672534 (healpix 27333), the S/N on the amplitude goes from ~27 to ~11, but 11 still seems awful high:

To get the variance in the continuum around the line, I estimate the "robust" sigma of the pixels in the continuum as the 75 percentile minus the 25 percentile divided by 1.349: https://github.com/desihub/fastspecfit/blob/main/py/fastspecfit/emlines.py#L1082

If I instead use a simple 3-sigma-clipped standard deviation the S/N for [OIII] 4363 in this object reduces to ~9.9, which is pretty consistent with the "robust" sigma:

But I'm still not quite satisfied in these results.

     TARGETID     HEALPIX OIII_4363_AMP_V1 OIII_4363_AMP_SNR_V1 OIII_4363_AMP_V2 OIII_4363_AMP_SNR_V2 OIII_4363_FLUX_V1 OIII_4363_FLUX_SNR_V1 OIII_4363_FLUX_V2 OIII_4363_FLUX_SNR_V2 OIII_4363_NPIX_V1 OIII_4363_NPIX_V2
----------------- ------- ---------------- -------------------- ---------------- -------------------- ----------------- --------------------- ----------------- --------------------- ----------------- -----------------
39627474161632453   22658       0.80158347             5.891087       0.80158395            3.0986469        0.92319894             1.9468902        0.92283833             1.9461436                 4                11
39627618634434462   26747        0.6733961             5.064175       0.67379916            1.3757114         0.9386274             1.8015784        0.93921065             1.8025398                 4                11
39627637492024014   25867       0.79047346             8.422631       0.79109126            2.2558744         1.2159652             1.9418195         1.2169718             1.9434173                 5                11
39627654223107867   40932       0.78591675             9.234115        0.7847825            1.3439605         1.0199049             1.6069658         1.0184418             1.6046405                 4                11
39627666319479872   40921       0.81066114            7.5306277         0.810805            3.4451802        0.91887105             1.5535815          0.919182             1.5541008                 4                11
39627669842691869   18725        0.5316252            5.3706093        0.5355014            2.1878185         0.7802198              1.819081        0.78486264             1.8299139                 4                11
39627670027243211   17381       0.46667323             9.136572       0.46973577            1.2627052         0.7375257             1.2820904        0.74322593             1.2921442                 4                11
39627690789048629   26843       0.44732478             5.195497       0.44594648            0.9012924         0.7357093               1.20796         0.7334782             1.2042744                 5                11
39627695281145847   22770       0.21985178            7.4032803       0.21985513           0.64537954          0.348808             1.1136082        0.34881973              1.113727                 5                11
39627701031539618   23170       0.43801486            5.8491445       0.43906757            1.4548409         0.6764019             1.4012468         0.6775936              1.403713                 5                11
39627702575043078   27182       0.47294968             6.322607       0.47416905            1.2526602        0.72405344             1.3690087        0.72567046             1.3720732                 5                11
39627703137078588   25582       0.57705325            5.1240916       0.58554816            1.1672889         0.9055195             1.8060454         0.9185896             1.8324302                 4                11
39627714927265648   26846        0.6949042            5.5469003        0.6933647           0.90951604         1.0733902              1.709428         1.0715625             1.7066538                 4                11
39627720753154699   27190        0.7886953            4.4995437       0.79238564            1.7895093         1.1071881              1.773739         1.1125295             1.7823209                 4                11
39627726931361961   26874       0.57433814            4.5976515       0.57271695            1.0528032        0.99583966             1.8422568         0.9921845              1.835224                 5                11
39627751187022090   27041       0.63522214             7.062515         0.631589            0.9350174         1.0219741             1.7310627         1.0162596             1.7213202                 5                11
39627758367675205   31393       0.51248544             4.649577       0.51119226            1.2458849        0.92030156              1.246224         0.9182464              1.243726                 5                11
39627775828559337   26260       0.65429604            4.6281986        0.6556657            1.7732824         0.9489775             1.7162926         0.9511386             1.7202446                 5                11
39627782413617711   25939        0.5083716            14.933689        0.5093471            1.5316681         0.7112896             1.4406018         0.7131495             1.4443675                 5                11
39627785097974911   18005        0.6397867             5.112813        0.6399844             1.865172        0.85381156             1.8115039        0.85397017             1.8120984                 4                11
39627805482290470   27392       0.33002523            5.2760415       0.32240465           0.76751906         0.5286258             0.9741854        0.52071494            0.95960057                 5                11
39627806191124904   26206       0.36865926             4.394622       0.36706984            0.7683166        0.67476493             1.2042142        0.67146885             1.1982371                 5                11
39627823597490301   27394        0.5153714            7.8209496        0.5151445            2.2496543        0.87738895             1.8198375        0.87708586             1.8191003                 5                11
39627824050475588   26296       0.54618657            4.4056306        0.5522574            1.3757923        0.76921296             1.0480423         0.7779564             1.0598806                 4                11
39627835538670183   27247        0.5089733            4.1143155       0.50795835            1.2464485        0.84039867             1.7267444        0.84270453             1.7312112                 5                11
39627835538672534   27333        3.8113892             27.56169        3.8128314             9.934304        0.51993185             0.7544324         0.5199327             0.7544336                 4                11
39627841217758187   21882        0.6141452            22.553217         0.619206            1.0837158         1.0130118             1.9645466         1.0213217             1.9806235                 5                11
39627841792376926   27066       0.31702465            4.1005464        0.3185926            0.6748023        0.48621154             0.7462357        0.48829505             0.7494504                 5                11
39627842870313903    8198        0.4637944            4.1095233       0.46382633            1.0023264          0.588402            0.95486146        0.58827406            0.95451885                 4                11
39627853372854738   21877       0.99615806             4.682783        0.9950927            1.7794544         1.3110943             1.7061741         1.3094313             1.7039965                 4                11
39627859987271386   27104         0.852718             8.290379        0.8526726            2.1606624         1.1179242             1.8585533         1.1179563             1.8582861                 4                11
39627866949816418    8226       0.67286426             4.233593       0.67265123             1.264874         0.8156081             1.6804136         0.8155647             1.6803243                 4                11
39627890333058327   27683       0.39008853            4.2548943       0.38939545            1.3513856         0.6478823             1.1444217         0.6463846             1.1418637                 5                11
39627920599157550   27712       0.69655937            4.9202476        0.6964924             2.236964         1.0042146             1.6750036         1.0042843             1.6753504                 4                11
39627920959866996   26434       0.59808594            4.1380196        0.6001812            1.4820997         0.8762208             1.7679856          0.879395             1.7744712                 4                11
39627926802532979   26496        1.0195965            11.714091        1.0217545             2.992052        0.51123863             0.8752846          0.512901             0.8781404                 4                11
39627927075161805   26098       0.45716396             4.694467       0.45529318            0.7055326         0.6835449             1.0091693         0.6806857             1.0049564                 5                11
39627927385543026   31467        1.3129799            15.687575        1.3216143             3.329349        0.46966967             0.8986222        0.46946162            0.89825404                 4                11
39627927716890322   31511        0.3750537            4.4886284        0.3771995            0.7835819         0.5803369             1.1031259        0.58315057             1.1084574                 5                11
39627932993323600   26434        0.5166419            5.6894937        0.5162561            1.2600701        0.79294723             1.3825387        0.79221344             1.3812279                 5                11

moustakas commented 1 year ago

@yuvoonng here is the latest fit for the object we've been discussing and below that are the full results. You can see that, as expected, the new line-amplitudes are more in-line with what the data show. You may also notice that the fluxes have changed, too, due to---it turns out---a different bug, which I'll announce more broadly to the group.

     TARGETID     HEALPIX OIII_4363_AMP_V1 OIII_4363_AMP_SNR_V1 OIII_4363_AMP_V2 OIII_4363_AMP_SNR_V2 OIII_4363_FLUX_V1 OIII_4363_FLUX_SNR_V1 OIII_4363_FLUX_V2 OIII_4363_FLUX_SNR_V2 OIII_4363_NPIX_V1 OIII_4363_NPIX_V2
----------------- ------- ---------------- -------------------- ---------------- -------------------- ----------------- --------------------- ----------------- --------------------- ----------------- -----------------
39627474161632453   22658       0.80158347             5.891087       0.59174657            2.2933915        0.92319894             1.9468902         0.9276309             1.9497676                 4                15
39627618634434462   26747        0.6733961             5.064175        0.5827834            1.5154659         0.9386274             1.8015784         0.8872366             1.7055526                 4                15
39627637492024014   25867       0.79047346             8.422631        0.6702724            2.7482188         1.2159652             1.9418195         1.2885427             2.0585308                 5                15
39627654223107867   40932       0.78591675             9.234115        0.5033729            1.1209804         1.0199049             1.6069658        0.77326506             1.2190888                 4                15
39627666319479872   40921       0.81066114            7.5306277        0.5104399            1.3791964        0.91887105             1.5535815         1.0740476             1.8183305                 4                15
39627669842691869   18725        0.5316252            5.3706093       0.43425387            1.5510747         0.7802198              1.819081         0.9246239              2.153755                 4                15
39627670027243211   17381       0.46667323             9.136572       0.37940165            1.2578294         0.7375257             1.2820904        0.84056306             1.4622184                 4                15
39627690789048629   26843       0.44732478             5.195497        0.4426965            1.2557592         0.7357093               1.20796         0.8814872              1.446187                 5                15
39627695281145847   22770       0.21985178            7.4032803       0.15755588            0.9003952          0.348808             1.1136082        0.31079903             0.9934871                 5                15
39627701031539618   23170       0.43801486            5.8491445        0.3318827            1.3273196         0.6764019             1.4012468        0.54942393             1.1390735                 5                15
39627702575043078   27182       0.47294968             6.322607       0.39947832            0.9693747        0.72405344             1.3690087         0.7590762             1.4346417                 5                15
39627703137078588   25582       0.57705325            5.1240916       0.42356446            1.5208424         0.9055195             1.8060454         0.9129189             1.8227797                 4                15
39627714927265648   26846        0.6949042            5.5469003        0.5592927            0.9010373         1.0733902              1.709428         1.1648173             1.8558733                 4                15
39627720753154699   27190        0.7886953            4.4995437       0.72713006            1.3490331         1.1071881              1.773739         1.3298225             2.1276562                 4                15
39627726931361961   26874       0.57433814            4.5976515       0.48245072            1.1491998        0.99583966             1.8422568         1.0358611             1.9087152                 5                15
39627751187022090   27041       0.63522214             7.062515       0.50750256            0.7085783         1.0219741             1.7310627        0.94340676             1.5942131                 5                15
39627758367675205   31393       0.51248544             4.649577       0.42528665            1.1048108        0.92030156              1.246224        0.93115777             1.2645309                 5                15
39627775828559337   26260       0.65429604            4.6281986       0.53373855            1.1861311         0.9489775             1.7162926        0.67584413             1.2234557                 5                15
39627782413617711   25939        0.5083716            14.933689        0.4226672            1.1173851         0.7112896             1.4406018        0.39145583              0.793469                 5                15
39627785097974911   18005        0.6397867             5.112813       0.46455577            1.5618528        0.85381156             1.8115039         0.4995881             1.0636863                 4                15
39627805482290470   27392       0.33002523            5.2760415       0.21180783            0.6467254         0.5286258             0.9741854           0.42006            0.77400947                 5                15
39627806191124904   26206       0.36865926             4.394622       0.35399592            0.8273068        0.67476493             1.2042142        0.79553527             1.4177814                 5                15
39627823597490301   27394        0.5153714            7.8209496       0.42579153            1.6001623        0.87738895             1.8198375        0.91274536              1.888244                 5                15
39627824050475588   26296       0.54618657            4.4056306       0.41263336            0.7626869        0.76921296             1.0480423         0.8186291             1.1159037                 4                15
39627835538670183   27247        0.5089733            4.1143155        0.4312652            1.3091731        0.84039867             1.7267444        0.94254404             1.9305542                 5                15
39627835538672534   27333        3.8113892             27.56169        0.5079588            1.2951595        0.51993185             0.7544324        0.14042504            0.20007308                 4                15
39627841217758187   21882        0.6141452            22.553217       0.42897668            0.7244192         1.0130118             1.9645466        0.99952525             1.9413675                 5                15
39627841792376926   27066       0.31702465            4.1005464       0.27267545            0.7215216        0.48621154             0.7462357        0.55956364             0.8594576                 5                15
39627842870313903    8198        0.4637944            4.1095233       0.31094763            0.7664973          0.588402            0.95486146        0.55588007            0.89441526                 4                15
39627853372854738   21877       0.99615806             4.682783       0.74091655           0.96935403         1.3110943             1.7061741        0.09722571            0.12674384                 4                15
39627859987271386   27104         0.852718             8.290379        0.6374405            2.2332582         1.1179242             1.8585533        0.93004465             1.5375146                 4                15
39627866949816418    8226       0.67286426             4.233593       0.40169907           0.82870466         0.8156081             1.6804136        0.67136467             1.3794558                 4                15
39627890333058327   27683       0.39008853            4.2548943       0.30390525            0.7207259         0.6478823             1.1444217          0.634548             1.1214639                 5                15
39627920599157550   27712       0.69655937            4.9202476       0.49882007            1.3125601         1.0042146             1.6750036         1.0443455             1.7412695                 4                15
39627920959866996   26434       0.59808594            4.1380196       0.50669736            1.2792659         0.8762208             1.7679856         0.9884001             1.9924709                 4                15
39627926802532979   26496        1.0195965            11.714091        0.2247391            0.4037624        0.51123863             0.8752846       0.039704487            0.06951553                 4                15
39627927075161805   26098       0.45716396             4.694467        0.4060926            0.5286029         0.6835449             1.0091693         0.8040978             1.1854738                 5                15
39627927385543026   31467        1.3129799            15.687575       0.28605554           0.76128215        0.46966967             0.8986222        0.44220924            0.83586484                 4                15
39627927716890322   31511        0.3750537            4.4886284        0.2920748            1.0984384         0.5803369             1.1031259        0.56908184             1.0828828                 5                15
39627932993323600   26434        0.5166419            5.6894937        0.5139289            1.2608304        0.79294723             1.3825387        0.97825795             1.7043577                 5                15

yuvoonng commented 1 year ago

@moustakas Nice to see that!

moustakas commented 1 year ago

The change reported in https://github.com/desihub/fastspecfit/issues/127#issuecomment-1657205052 leads to (much) larger flux uncertainties so the flux S/N distribution now is more sensible:

     TARGETID     HEALPIX OIII_4363_AMP_V1 OIII_4363_AMP_SNR_V1 OIII_4363_AMP_V2 OIII_4363_AMP_SNR_V2 OIII_4363_FLUX_V1 OIII_4363_FLUX_SNR_V1 OIII_4363_FLUX_V2 OIII_4363_FLUX_SNR_V2 OIII_4363_NPIX_V1 OIII_4363_NPIX_V2
----------------- ------- ---------------- -------------------- ---------------- -------------------- ----------------- --------------------- ----------------- --------------------- ----------------- -----------------
39627474161632453   22658       0.80158347             5.891087       0.59174657            1.6507187        0.92319894             1.9468902         0.9276309             0.5251954                 4                18
39627618634434462   26747        0.6733961             5.064175        0.5827834            1.4791989         0.9386274             1.8015784         0.8872366              0.464796                 4                18
39627637492024014   25867       0.79047346             8.422631        0.6702724            2.8446093         1.2159652             1.9418195         1.2885427            0.55887634                 5                18
39627654223107867   40932       0.78591675             9.234115        0.5033729            1.0619872         1.0199049             1.6069658        0.77326506            0.32560888                 4                18
39627666319479872   40921       0.81066114            7.5306277        0.5104399            1.3563741        0.91887105             1.5535815         1.0740476            0.49735418                 4                18
39627669842691869   18725        0.5316252            5.3706093       0.43425387             1.486215         0.7802198              1.819081         0.9246239             0.5858586                 4                18
39627670027243211   17381       0.46667323             9.136572       0.37940165             1.133174         0.7375257             1.2820904        0.84056306            0.39818212                 4                18
39627690789048629   26843       0.44732478             5.195497        0.4426965            0.8293728         0.7357093               1.20796         0.8814872            0.39217803                 5                18
39627695281145847   22770       0.21985178            7.4032803       0.15755588            0.7947355          0.348808             1.1136082        0.31079903            0.27788836                 5                18
39627701031539618   23170       0.43801486            5.8491445        0.3318827            1.3005193         0.6764019             1.4012468        0.54942393             0.3105429                 5                18
39627702575043078   27182       0.47294968             6.322607       0.39947832            1.0343088        0.72405344             1.3690087         0.7590762            0.39019215                 5                18
39627703137078588   25582       0.57705325            5.1240916       0.42356446            1.1429102         0.9055195             1.8060454         0.9129189            0.50016534                 4                18
39627714927265648   26846        0.6949042            5.5469003        0.5592927            0.9326846         1.0733902              1.709428         1.1648173             0.5027789                 4                18
39627720753154699   27190        0.7886953            4.4995437       0.72713006             1.592655         1.1071881              1.773739         1.3298225             0.5790671                 4                18
39627726931361961   26874       0.57433814            4.5976515       0.48245072            1.2042849        0.99583966             1.8422568         1.0358611            0.51124096                 5                18
39627751187022090   27041       0.63522214             7.062515       0.50750256           0.71737367         1.0219741             1.7310627        0.94340676            0.42994696                 5                18
39627758367675205   31393       0.51248544             4.649577       0.42528665             1.084897        0.92030156              1.246224        0.93115777            0.34865123                 5                18
39627775828559337   26260       0.65429604            4.6281986       0.53373855            1.1983199         0.9489775             1.7162926        0.67584413            0.33672225                 5                18
39627782413617711   25939        0.5083716            14.933689        0.4226672            1.1786524         0.7112896             1.4406018        0.39145583            0.21761854                 5                18
39627785097974911   18005        0.6397867             5.112813       0.46455577            1.0993799        0.85381156             1.8115039         0.4995881            0.29104817                 4                18
39627805482290470   27392       0.33002523            5.2760415       0.21180783            0.4067591         0.5286258             0.9741854           0.42006             0.2073464                 5                18
39627806191124904   26206       0.36865926             4.394622       0.35399592              0.68622        0.67476493             1.2042142        0.79553527             0.3847353                 5                18
39627823597490301   27394        0.5153714            7.8209496       0.42579153            1.5905213        0.87738895             1.8198375        0.91274536            0.50973433                 5                18
39627824050475588   26296       0.54618657            4.4056306       0.41263336           0.94572073        0.76921296             1.0480423         0.8186291             0.2999517                 4                18
39627835538670183   27247        0.5089733            4.1143155        0.4312652            1.4843968        0.84039867             1.7267444        0.94254404              0.524842                 5                18
39627835538672534   27333        3.8113892             27.56169        0.5079588             1.054001        0.51993185             0.7544324        0.14042504           0.053878997                 4                18
39627841217758187   21882        0.6141452            22.553217       0.42897668            0.6892543         1.0130118             1.9645466        0.99952525             0.5282989                 5                18
39627841792376926   27066       0.31702465            4.1005464       0.27267545           0.56471926        0.48621154             0.7462357        0.55956364            0.23376772                 5                18
39627842870313903    8198        0.4637944            4.1095233       0.31094763           0.56839997          0.588402            0.95486146        0.55588007            0.23891611                 4                18
39627853372854738   21877       0.99615806             4.682783       0.74091655            1.0442078         1.3110943             1.7061741        0.09722571            0.03454631                 4                18
39627859987271386   27104         0.852718             8.290379        0.6374405            1.8645424         1.1179242             1.8585533        0.93004465            0.41669372                 4                18
39627866949816418    8226       0.67286426             4.233593       0.40169907            1.0246841         0.8156081             1.6804136        0.67136467            0.36889943                 4                18
39627890333058327   27683       0.39008853            4.2548943       0.30390525           0.65035355         0.6478823             1.1444217          0.634548            0.31183684                 5                18
39627920599157550   27712       0.69655937            4.9202476       0.49882007            1.2614043         1.0042146             1.6750036         1.0443455             0.4788677                 4                18
39627920959866996   26434       0.59808594            4.1380196       0.50669736            0.9793277         0.8762208             1.7679856         0.9884001             0.5383368                 4                18
39627926802532979   26496        1.0195965            11.714091        0.2247391            0.5535888        0.51123863             0.8752846       0.039704487           0.019064624                 4                18
39627927075161805   26098       0.45716396             4.694467        0.4060926           0.52004313         0.6835449             1.0091693         0.8040978            0.32162672                 5                18
39627927385543026   31467        1.3129799            15.687575       0.28605554            0.6721484        0.46966967             0.8986222        0.44220924            0.22670269                 4                18
39627927716890322   31511        0.3750537            4.4886284        0.2920748            0.9038894         0.5803369             1.1031259        0.56908184            0.29234114                 5                18
39627932993323600   26434        0.5166419            5.6894937        0.5139289            1.2016586        0.79294723             1.3825387        0.97825795             0.4596656                 5                18

desihub / fastspecfit

require more pixels to estimate the variance in the emission-line amplitude #137

Pull Request Test Coverage Report for Build 5719858714

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