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Craig Markwardt wrote in message ...
First of all I am glad that you are now supplying numbers and percentages as its easier if we both refer to gcn data. You have inspired me to do more detailed data breakdown and I have done so by starting in Jan 2001 when HETE comes online and counted all gcn postings and broken them into more datasets like IPN only, IPN/HETE, HETE only etc.. And yes I find the data does not give the same poor 5-20 pere cent ratio over the three years that I initially claimed for the last 9 months period but my following argument still works I believe as a more detailed analysis as you prefer seems to unearth more new evidence against IPN as it does support it. Furthermore I still stand by my initial claim that in the last 9 months IPN has a very low about 10-20 per cent success ratio.Lower than the 3 year average.My count gives11 searchesIPN/HETE and 2 counterparts found.And one of those two counterparts..grb030131 seems to my reading of the relevent gcns that the counterpart was found outside the IPN box but inside IBASA error box? (Incidentally by `IPN-only` I mean a grb where a search is done where there is only a IPN annulus box but no available HETE/IBIS/Bepposax error box like grb020525) Your supposition that the speed of light is varies is not substantiated by observation. [refs. 1-4] Your analysis appears to be highly suspect. From my own analysis, I conclude that there are IPN Solutions of any type 300 (since GCN 100) IPN Box solutions 108 IPN Small box solutions 29 (50 sq. arcmin., night sky) Optical / Radio searchs 21 Counterparts found 8 So, if we judge success by number of counterparts found per search, it's approximately 8 / 21 = 38 %, with a Poissonian statistical uncertainty given by sqrt(8) / 21, or success ratio of = 38 +/- 13 % I can agree roughly with this figure although I got 20 IPN searches with 9 counterparts found since Jan 2001 when HETE came into service. But I must add that of those 9 I counted,.. 2 of them(030131,011121) seemed to have the counterpart observed *outside * the IPN error box but inside the HETE/IBIS box. In other words should that number be... 22 IPN radio optical searches 7counterparts found (within the IPN error box) Thats a 31 % success ratio for IPN if one discounts 030131 and 011121. You probably understand the RA dec etc better than I do. But it does seem to me that the counterparts were observed outside the IPN error boxes in those cases. (I admit I dont know enough about RA dec etc . RA is given in degrees and sometimes in h,m,s. For instance 202.037 in one post becomes 13h 27m 56sin another whch makes it hard for me to to decipher .But if you read all the gcn`s for these two bursts there are question marks over these as IPN successes) These are all GRBs where an independent IPN box solution existed, regardless of any other localization (GRBs 000630, 000911, 000926, 001007, 020813, 990506, 991208, 991216). The constraints on night sky and box size are relevant since ground observatories cannot observe during the daytime, and most do not have large fields of view. The same search in the HETE data shows: HETE-2 localizations since launch 36 Optical / Radio searches 33 Counterparts found 14 Similar success ratio = 42 +/- 11 % (GRBs 000323 000408 000429 000607 000616 000623 000811 000812 000820 000830 000911 000925 001004 001007). Im not too sure about this figure above either . I have the following results which are different from yours.. 39 HETE localizations with radio optical etc followups/searches 23 counterparts found 59% success ratio for HETE GRB`s where counterparts are found 010921,011130,011212,020124,020127,020305,020317,0 20331,020531,020812, 020903,021004,021211,020813,030115,030226,030323,0 30324,030328,030329,030418,030429,030528 Thus, to within the statistical limits, the fractional success rates (as defined) for both IPN and HETE are consistent with each other. HETE obviously has far more follow-up observations, since they have a dedicated and coordinated follow-up observation team, while IPN does not. Of course, the analysis also ignores the role that IPN had in improving the error boxes of the HETE positions, which is substantial. This improves the HETE results at the expense of the IPN. AS you see above I contest and revise your figures to a 60% success ratio for HETE as compared to a 30 % success ratio for IPN. Unless you can show that 030131,011121 are within the IPN error box. The `IPN only` success ratio over the last 3 years is 6 searches and 0 counterparts found ..ie a 0 per cent success rate. This compares unfavourably with the HETE only ratio which is 24 searches and 17 counterparts found or a 70 % success ratio. And seeing as you insist that the size of error box should be taken into account to explain this low IPN only success ratio then by the same token one must then say that where IPN has constrained or reduced the HETE error box by a percentage then the IPN /HETE success ratio should actually be better by the same percentage then the HETE only ratio. But it isnt! Its worse . There were 13 searches on IPN/HETE boxes with only 6 counterparts found or a 42 % success ratio. This is unfavourable compared to the 70% HETE-only rate but even more so if you use your `area` parameters . In other words if the IPN annulus reduces on average the HETE box by 50 % then the IPN HETE success ratio should be double the percentage of the HETE only ratio. Instead its only 1/2. Furthermore if my model is correct when it predicts that if the IPN annulus is incorrect it should lead to a reduction in the HETE success rate by the same average IPN percentage reduction of the HETE error box. So if IPN HETE has astronomers looking in only 50 per cent of the HETE error boxes then my model predicts that should lead to a 50 per cent reduction in IPN HETE successes(if my claim that c was variable is right). And thats what the figures and data show. HETE is 70 % and HETE IPN is 42 % Thats almost 1/2 for IPN/HETE when it should be double the HETE only ratio and although I have only guessed the average reduction in HETE error box by IPN I imagine my 50 per cent average isnt far off the mark Also, it ignores that there are several GRBs which are optically and radio "dark" and yet have X-ray afterglows localized to extremely high precision with the Chandra X-ray Observatory, which would tend to improve the success rates of both kinds of solutions. Your claims are unsubstantiated. You ignored the fact that most of the IPN solutions went unobserved by follow-up teams, and therefore you woefully underestimated the success rate of IPN. In addition, you still maintain that somehow the IPN solutions are being manipulated, and yet every IPN solution that I am aware of to date, has been consistent with a confirmed counterpart. You have not provided a mechanism by which the solution could be manipulated. Indeed, there is none, since it involves simple geometry and geometric viewing constraints. I am not privy to the IPN methods but I think that a laymans general summary would be that the IPN staff take the different time/flux lightcurves from the different detectors in each satelite. They then have to approximate a rough trigger and overall peak shape and calculate a time of arrival trigger point in UT for each satelitte for that specific burst. THey do this for all available satlitees whether its one two or three etc.. They then would use these calculated time of arrivals lets say 3 from NEAR INTEGRAL and ULYSES. As each satelite is a rough known distance and location from earth they then can calculate annuli rings sometimes double rings based on the assumption that c is constant and the different time of arrivals can give rough directions in `rings` My contention is that where the error box is known from HETE or Integral in most cases the rings do not overlap and the IPN staff assume this discrepancy is due to innacurate data or maybe to a misinterpretaion of trigger arrival times. If you have seen different discriminator channel lightcurves it is obviuos how matching lightcurves from different sources is a approximate science. These discrepencies are admitted even in the Laros papers and in the IPN website pages I then say that the process by which they `manipulate` the results is that each arrival time is tweaked until it gives a ring that overlaps the known error box. Another tweaking mechanism would be to widen the margin of error on the annuli ring. To back up my claim I point to the massive discrepency between the 100 per cent success rate of localizing the error boxes as compared to the 0 per cent success rate of IPN annuli where no error boxes are available to conform the annuli to. Why is it that IPN has a 100 per cent success ratio in finding HETE IBIS error boxes? Even if c were constant there would be some misses and a maybe 80 % success rate. The 100 per cent ratio in question is too good to be true especially in light of the poor IPN/HETE and IPN only success ratios. And most damning in my opinion is the fact that when IPN annuli reduce the area of HETE error boxes, instead of giving a proportionate improvement to the success rate the rate actually drops by almost 1/2. That shouldnt happen if IPN annuli were correct. And as I mention earlier that drop is roughly proportional to the reduced area of the new HETE/IPN error box implying that if the HETE error box is correct then the HETE/IPN overlap is random and indicative of annuli that are incorrect. I contend that one would get the same success rate as HETE/IPN hybred overlap if one were to randomly search in only `part` of the HETE error boxes total areas. And if that `part` were the same as the average overall IPN reduction of HETE error boxes in IPN/HETE localizations. (I guess roughly that the average IPN reduction of HETE error box area by overlap MUST be proportional to the 42% to 70% per cent ratio in success I mention earlier between IPN/Hete and HETE only success ratios.It would be interesting to see what IS the average IPN reduction in HETE error box area size? My rough calculation using the gcn`s I where percentages or size reductions are available is that it averages at about 40-60 per cent ) Sean |
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