Embedded newform data - 1008.6.a.bg.1.1

Formats: - HTML - YAML - JSON - 2024-09-20T17:58:32.829926

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 36288, 'analytic_conductor': 161.66689037148447, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, 1], [7, 1]], 'atkin_lehner_string': '+++', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1008, 1, [127, 757, 785, 577], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 424, 'field_disc_factorization': [[2, 3], [53, 1]], 'field_poly': [-106, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [-2372, 76, 1]], [11, [-15876, -564, 1]]], 'hecke_orbit': 33, 'hecke_orbit_code': 144115188176520176, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 6, 'hecke_ring_index_factorization': [[2, 1], [3, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1008.6.a.bg', 'level': 1008, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'minimal_twist': '504.6.a.k', 'nf_label': '2.2.424.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(-38+\\beta )q^{5}-7^{2}q^{7}+(282+5\\beta )q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1008.6.a', 'trace_display': [0, 0, -76, -98], 'trace_hash': 2221599132459225460, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.990', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '10.042', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '68.734', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, 'traces': [2, 0, 0, 0, -76, 0, -98, 0, 0, 0, 564, 0, 516, 0, 0, 0, 76, 0, -2360, 0, 0, 0, -2036, 0, 4270, 0, 0, 0, -8320, 0, 6280, 0, 0, 0, 3724, 0, -2460, 0, 0, 0, 14308, 0, -23128, 0, 0, 0, 12712, 0, 4802, 0, 0, 0, 9896, 0, 16728, 0, 0, 0, 60888, 0, 16172, 0, 0, 0, 10920, 0, 62568, 0, 0, 0, -732, 0, 1244, 0, 0, 0, -27636, 0, -11600, 0, 0, 0, 132288, 0, -71576, 0, 0, 0, -93452, 0, -25284, 0, 0, 0, 120208, 0, -272932, 0, 0, 0, -68340, 0, -96312, 0, 0, 0, 170052, 0, 76964, 0, 0, 0, -290112, 0, -235544, 0, 0, 0, -3724, 0, 27746, 0, 0, 0, -504792, 0, -278800, 0, 0, 0, -26000, 0, 115640, 0, 0, 0, -119320, 0, 5472, 0, 0, 0, 298152, 0, 163520, 0, 0, 0, -491432, 0, -270032, 0, 0, 0, 402448, 0, 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• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
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-0.3288484087589576, -0.4271529372740906, -0.14670295028993688, -0.15663590410380515, -0.2995726021043358, -0.172533338502349, -0.33291605978243954, -0.33954162645779773, -0.1565494806068599, -0.2548019656858853, -0.1537611639576217, -0.28438017830060697, -0.27053000701171215, -0.29144121328181033, -0.30963048892405287, -0.21084361451799208, -0.3947459045749756, -0.3535955304173033, -0.26674119739256474, -0.1709403034406471, -0.15719710480385998, -0.09901569222571675, -0.29149488476807933, -0.3438588540667127, -0.236565401755811, -0.1874455815962344, -0.20832901468534712, -0.35296044169733626, -0.37526631076882055, -0.09418389716409804, -0.15487155720587872, -0.3060127681949355, -0.31980441954832006, -0.33392725463935063, -0.08029784404053275, -0.3673855124981579, -0.1575437119776891, -0.3091911590664531, -0.30875768301363016, -0.3636677744654577, -0.1618207469352438, -0.21233177150594212, -0.24789181367690138, -0.2198939649974285, -0.1673450833689659, -0.10241303900759523, -0.24440818501629044, -0.2984072735951277, -0.13966198994389112, -0.3761155487655808, -0.12386806249966793, -0.18166904416504265, -0.3692551772139331, -0.23211502442495463, -0.3451559512189453, -0.32343946592393846, -0.15861276062546253, -0.11083922402545572, -0.3454995813847522, -0.3634148769087922, -0.3489767367540343, -0.12511733391716054, -0.3228301678311854, -0.3338420245155227, -0.1964306125205806, -0.24996099984278028, -0.4065153198763799, -0.32996244079130516, -0.29820679882952955, -0.2103627822068821, -0.21571235829403446, -0.35601628909686245, -0.16028360960982022, -0.3625239975142965, -0.159149304439089, -0.30306731204728315, -0.24984255958709467, -0.17651619903594104, -0.41010936628801176, -0.2530257952038362, -0.3035225493797468, -0.3044410276032594, -0.27874556382144894, -0.17853159369566263, -0.18853163557789082, -0.13244903999392993, -0.2399336043063695, -0.3709746718195331, -0.3463660966912625, -0.43215988749343653, -0.30662135009578145, -0.3251229626410578, -0.2879032130952453, -0.3015736938626149, -0.22549305545171835, -0.33944525982679974, -0.309463694654976, -0.35555472783469094, -0.1876794574611546, -0.19719370419873036, -0.3144576328916356, -0.29760833386736774, -0.1987325087693127, -0.23718851855417966, -0.311910481486211, -0.37670864030854034, -0.2912212615028418, -0.13333960455537794, -0.23775662624546284, -0.06262910551765873, -0.21578896902416453, -0.2665902620004759, -0.33910528097228776, -0.3053156381022077, -0.19780884820401665, -0.2945312901149091, -0.34676496943162916, -0.19454655047648428, -0.34507221880642613, -0.23677530276243702, -0.2700162468163737, -0.30098121230526986, -0.3196499249279848, -0.4423623669708547, -0.35380604127995835, -0.23143299376161863, -0.17572454108797222, -0.10056081173064611, -0.17966723829698292, -0.17931678043530686, -0.08839142782261601, -0.1766979208109894, -0.30374574941247323, -0.35114974391448023, -0.3508709752538343, -0.2572894042768343, -0.15957789411587242, -0.43041396798224957, -0.3257590316592171, -0.25790439922552877, -0.2577282587333718, -0.13671659365881633, -0.19302377201734544, -0.24790773729285, -0.396577941483214, -0.3709480845496936, -0.3922646254354465, -0.29741264437931014, -0.14888581038848286, -0.15146946272745143, -0.4125851511191288, -0.26341146624964934, -0.3085546690172475, -0.3698601704558284, -0.19470723681421526, -0.40244200831371374, -0.36269088560706947, -0.1962422331078207, -0.1407156594634256, -0.05733544175223159, -0.32952078382160044, -0.10751582544963514, -0.21816676005820346, -0.3179027542982182, -0.24959648861319908, -0.3885583539999295, -0.19937119190899844, -0.1824247789936872, -0.16120593724421892, -0.38259496853728614, -0.37852713945632105, -0.35977071596543425, -0.25633551007676897, -0.34244727430860666, -0.037230222701350575, -0.2614972698587901, -0.2688786138639681, -0.32461092371483535, -0.16269838218646912, -0.15546711437734534, -0.2305690473187051, -0.308697195681789, -0.3984774456295228, -0.10861263606826156, -0.2966416691228632, -0.22917501182270608, -0.21050296902823845, -0.14077152715885996, -0.21438556697943909, -0.22532625858382457, -0.1664978049018303, -0.2950574009898351], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': -10.295630140987, 'hecke_orbit': 33, 'hecke_orbit_code': 144115188176520176, 'label': '1008.6.a.bg.1.1', 'level': 1008, 'weight': 6}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'ALdims': [8, 8, 11, 11, 8, 6, 11, 12], 'Nk2': 36288, 'analytic_conductor': 161.66689037148447, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1008, 1, [127, 757, 785, 577], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 936, 'dim': 75, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11], 'hecke_orbit_code': 100664304, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4], 'label': '1008.6.a', 'level': 1008, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'mf_dim': 984, 'mf_new_dim': 75, 'num_forms': 51, 'plus_dim': 36, 'prim_orbit_index': 1, 'relative_dim': 75, 'sturm_bound': 1152, 'trace_bound': 13, 'trace_display': [0, 0, 38, -49], 'traces': [75, 0, 0, 0, 38, 0, -49, 0, 0, 0, -424, 0, -122, 0, 0, 0, -802, 0, -2360, 0, 0, 0, 2756, 0, 45317, 0, 0, 0, -2246, 0, -7160, 0, 0, 0, -7350, 0, -7206, 0, 0, 0, 4566, 0, 3732, 0, 0, 0, -29184, 0, 180075, 0, 0, 0, -32486, 0, -70408, 0, 0, 0, -60264, 0, -38922, 0, 0, 0, 31460, 0, 126572, 0, 0, 0, 119884, 0, -66218, 0, 0, 0, -3724, 0, -49720, 0, 0, 0, -122632, 0, 131684, 0, 0, 0, -37186, 0, 49686, 0, 0, 0, 303432, 0, 154662, 0, 0, 0, -104186, 0, 8000, 0, 0, 0, -807552, 0, 163754, 0, 0, 0, -3746, 0, 654272, 0, 0, 0, 141610, 0, 1549399, 0, 0, 0, 64092, 0, -592472, 0, 0, 0, -1035752, 0, -176792, 0, 0, 0, 15790, 0, 72360, 0, 0, 0, 1382464, 0, -310388, 0, 0, 0, 266954, 0, -511416, 0, 0, 0, -2901408, 0, -862786, 0, 0, 0, -242648, 0, -551148, 0, 0, 0, 946696, 0, 2057717, 0, 0, 0, 621670, 0, -214375, 0, 0, 0, -1470752, 0, 683918, 0, 0, 0, -654668, 0, 3100152, 0, 0, 0, 2608788, 0, -702258, 0, 0, 0, -523734, 0, -779968, 0, 0, 0, -851326, 0, 903252, 0, 0, 0, 2065712, 0, 1360052, 0, 0, 0, 4532456, 0, -336728, 0, 0, 0, 1023324, 0, -816128, 0, 0, 0, -377904, 0, 108350, 0, 0, 0, 983342, 0, 3755904, 0, 0, 0, 4822012, 0, -2835818, 0, 0, 0, 91238, 0, -5500424, 0, 0, 0, 2816512, 0, 1040544, 0, 0, 0, 2793382, 0, 659834, 0, 0, 0, 670980, 0, 2249692, 0, 0, 0, 2261078, 0, 4060880, 0, 0, 0, -5038760, 0, 2344906, 0, 0, 0, -1827666, 0, 56128, 0, 0, 0, 1417178, 0, 7919785, 0, 0, 0, -6175482, 0, -651576, 0, 0, 0, 2025096, 0, -191884, 0, 0, 0, 4497844, 0, -638008, 0, 0, 0, -2656720, 0, 1824230, 0, 0, 0, 5922930, 0, 10800288, 0, 0, 0, 1715248, 0, 2304570, 0, 0, 0, 374360, 0, 2881668, 0, 0, 0, -17243864, 0, -4699146, 0, 0, 0, -4228336, 0, -117649, 0, 0, 0, 13982448, 0, -8447042, 0, 0, 0, 10589894, 0, -1917488, 0, 0, 0, -1935060, 0, 13017735, 0, 0, 0, 3295340, 0, 2582176, 0, 0, 0, -1619254, 0, 4487090, 0, 0, 0, -14017884, 0, -3567868, 0, 0, 0, -3588504, 0, 317912, 0, 0, 0, -7584590, 0, 21373552, 0, 0, 0, 14006416, 0, -8250194, 0, 0, 0, 8341134, 0, -3050432, 0, 0, 0, -9140224, 0, 11496126, 0, 0, 0, 0, 0, 14626520, 0, 0, 0, 22323064, 0, -3320102, 0, 0, 0, -14659358, 0, -3881682, 0, 0, 0, -17723276, 0, -11383970, 0, 0, 0, -17218400, 0, 2918440, 0, 0, 0, 10834424, 0, 4341044, 0, 0, 0, 11923894, 0, -19172248, 0, 0, 0, -1822996, 0, 10576702, 0, 0, 0, 12141174, 0, 25263144, 0, 0, 0, 8560720, 0, 3120516, 0, 0, 0, -4642336, 0, 8557432, 0, 0, 0, -22362656, 0, -9375708, 0, 0, 0, -32944772, 0, 8622616, 0, 0, 0, 5940936, 0, -990868, 0, 0, 0, 5719672, 0, 7863508, 0, 0, 0, -15205480, 0, 7369228, 0, 0, 0, 28131206, 0, -15395114, 0, 0, 0, 15445936, 0, 4997888, 0, 0, 0, -32050938, 0, 17062048, 0, 0, 0, -8200688, 0, 10846099, 0, 0, 0, -23298964, 0, -8962056, 0, 0, 0, -1018024, 0, -23146702, 0, 0, 0, 16036500, 0, 36094548, 0, 0, 0, 848, 0, 3470768, 0, 0, 0, 35480370, 0, -18929720, 0, 0, 0, -7113816, 0, 22279684, 0, 0, 0, -41944250, 0, -53093348, 0, 0, 0, 12171532, 0, -23135178, 0, 0, 0, -274792, 0, 8537040, 0, 0, 0, -17432048, 0, -26070096, 0, 0, 0, 48297782, 0, -9535988, 0, 0, 0, 23124124, 0, -2826802, 0, 0, 0, 67377102, 0, 19515136, 0, 0, 0, -20733136, 0, 37723674, 0, 0, 0, -38502202, 0, 6490032, 0, 0, 0, 2988706, 0, -10914961, 0, 0, 0, -8200428, 0, -16549840, 0, 0, 0, 592608, 0, -292922, 0, 0, 0, 27390830, 0, -43510912, 0, 0, 0, 21710392, 0, -31488, 0, 0, 0, 38815242, 0, -116293064, 0, 0, 0, -21816592, 0, 5635518, 0, 0, 0, -1711864, 0, -11901640, 0, 0, 0, 52680000, 0, -22540394, 0, 0, 0, -73900914, 0, 4212726, 0, 0, 0, -75984264, 0, -49711676, 0, 0, 0, 66187188, 0, 49186552, 0, 0, 0, 20932664, 0, -20150060, 0, 0, 0, 37345562, 0, -35822304, 0, 0, 0, 6356770, 0, 25753506, 0, 0, 0, -36268016, 0, -78826064, 0, 0, 0, 34090616, 0, 397488, 0, 0, 0, -804250, 0, -136271984, 0, 0, 0, -40492504, 0, -83714098, 0, 0, 0, 68853872, 0, 26101940, 0, 0, 0, 24184684, 0, 60307484, 0, 0, 0, -204036, 0, 37135984, 0, 0, 0, -107074240, 0, -21469166, 0, 0, 0, -65175354, 0, 22527554, 0, 0, 0, 64341576, 0, 16393166, 0, 0, 0, -102470682, 0, -17347304, 0, 0, 0, -29355472, 0, -73206592, 0, 0, 0, 46621140, 0, -40244360, 0, 0, 0, -897386, 0, 97344868, 0, 0, 0, 8877846, 0, -106761200, 0, 0, 0, -12352624, 0, -3409616, 0, 0, 0, -13898090, 0, 40643424, 0, 0, 0, 39081224, 0, -63891488, 0, 0, 0, -80847398, 0, 105446576, 0, 0, 0, -28154704, 0, -80227122, 0, 0, 0, -1925602, 0, 68315632, 0, 0, 0, 95034264, 0, 76000933, 0, 0, 0, 51583226, 0, 18625635, 0, 0, 0, -42467256, 0, 38455478, 0, 0, 0, -93007674, 0, -147048440, 0, 0, 0, -90103668, 0, -18432548, 0, 0, 0, -79963376, 0, -107770712, 0, 0, 0, 25252836, 0, 6425650, 0, 0, 0, 34287926, 0, 108527972, 0, 0, 0, 24394184, 0, -7945056, 0, 0, 0, -31626832, 0, 145671784, 0, 0, 0, -7135840, 0, -40147348, 0, 0, 0, -80755212, 0, 139729068, 0, 0, 0, -35385212, 0, -71532224, 0, 0, 0, 30565416, 0, -74835272, 0, 0, 0, -91694392, 0, -50536922, 0, 0, 0, 79315486, 0, -5666360, 0, 0, 0, -20587056, 0, 25133550, 0, 0, 0, 58457694, 0, -123812384, 0, 0, 0, 63620768, 0, -138012660, 0, 0, 0, 32503118, 0, -35162016, 0, 0, 0, -8447698, 0, 36545259, 0, 0, 0, -121286132, 0, 297961664, 0, 0, 0, 57879328, 0, -11099480, 0, 0, 0, -42317066, 0, 161055144, 0, 0, 0, 33200304, 0, 118603644, 0, 0, 0, 117556016, 0, -24307456, 0, 0, 0, 109643248, 0, -39434402, 0, 0, 0], 'weight': 6, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 48799073
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 144115188176520176, 'source_is_minimal': False, 'source_label': '1008.6.a.bg.1.1', 'source_level': 1008, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 144115188176520176, 'target_is_minimal': False, 'target_label': '1008.6.a.bg.1.1', 'target_level': 1008, 'twist_class_label': '504.6.a.k.1.1', 'twist_class_level': 504, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
  • id: 48799074
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 144115188176520176, 'source_is_minimal': False, 'source_label': '1008.6.a.bg.1.1', 'source_level': 1008, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 211669182587077616, 'target_is_minimal': False, 'target_label': '1008.6.a.bv.1.2', 'target_level': 1008, 'twist_class_label': '504.6.a.k.1.1', 'twist_class_level': 504, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 48799075
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 144115188176520176, 'source_is_minimal': False, 'source_label': '1008.6.a.bg.1.1', 'source_level': 1008, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45035996374368760, 'target_is_minimal': True, 'target_label': '504.6.a.k.1.1', 'target_level': 504, 'twist_class_label': '504.6.a.k.1.1', 'twist_class_level': 504, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 6}
  • id: 48799076
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 144115188176520176, 'source_is_minimal': False, 'source_label': '1008.6.a.bg.1.1', 'source_level': 1008, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 90071992648073720, 'target_is_minimal': True, 'target_label': '504.6.a.u.1.2', 'target_level': 504, 'twist_class_label': '504.6.a.k.1.1', 'twist_class_level': 504, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1590775
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 144115188176520176, 'p': 2}
  • id: 1590776
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 144115188176520176, 'p': 3}
  • id: 1590777
    {'charpoly_factorization': [[[-2372, 76, 1], 1]], 'hecke_orbit_code': 144115188176520176, 'p': 5}
  • id: 1590778
    {'charpoly_factorization': [[[49, 1], 2]], 'hecke_orbit_code': 144115188176520176, 'p': 7}
  • id: 1590779
    {'charpoly_factorization': [[[-15876, -564, 1], 1]], 'hecke_orbit_code': 144115188176520176, 'p': 11}
  • id: 1590780
    {'charpoly_factorization': [[[5508, -516, 1], 1]], 'hecke_orbit_code': 144115188176520176, 'p': 13}
  • id: 1590781
    {'charpoly_factorization': [[[-307652, -76, 1], 1]], 'hecke_orbit_code': 144115188176520176, 'p': 17}
  • id: 1590782
    {'charpoly_factorization': [[[1331344, 2360, 1], 1]], 'hecke_orbit_code': 144115188176520176, 'p': 19}
  • id: 1590783
    {'charpoly_factorization': [[[-5378372, 2036, 1], 1]], 'hecke_orbit_code': 144115188176520176, 'p': 23}
  • id: 1590784
    {'charpoly_factorization': [[[15779200, 8320, 1], 1]], 'hecke_orbit_code': 144115188176520176, 'p': 29}
  • id: 1590785
    {'charpoly_factorization': [[[-17066096, -6280, 1], 1]], 'hecke_orbit_code': 144115188176520176, 'p': 31}
  • id: 1590786
    {'charpoly_factorization': [[[-12224700, 2460, 1], 1]], 'hecke_orbit_code': 144115188176520176, 'p': 37}
  • id: 1590787
    {'charpoly_factorization': [[[-118712420, -14308, 1], 1]], 'hecke_orbit_code': 144115188176520176, 'p': 41}
  • id: 1590788
    {'charpoly_factorization': [[[129818512, 23128, 1], 1]], 'hecke_orbit_code': 144115188176520176, 'p': 43}
  • id: 1590789
    {'charpoly_factorization': [[[-147669008, -12712, 1], 1]], 'hecke_orbit_code': 144115188176520176, 'p': 47}
  • id: 1590790
    {'charpoly_factorization': [[[21903088, -9896, 1], 1]], 'hecke_orbit_code': 144115188176520176, 'p': 53}
  • id: 1590791
    {'charpoly_factorization': [[[777234672, -60888, 1], 1]], 'hecke_orbit_code': 144115188176520176, 'p': 59}
  • id: 1590792
    {'charpoly_factorization': [[[-1804456604, -16172, 1], 1]], 'hecke_orbit_code': 144115188176520176, 'p': 61}
  • id: 1590793
    {'charpoly_factorization': [[[972583056, -62568, 1], 1]], 'hecke_orbit_code': 144115188176520176, 'p': 67}
  • id: 1590794
    {'charpoly_factorization': [[[-305485668, 732, 1], 1]], 'hecke_orbit_code': 144115188176520176, 'p': 71}
  • id: 1590795
    {'charpoly_factorization': [[[-451183292, -1244, 1], 1]], 'hecke_orbit_code': 144115188176520176, 'p': 73}
  • id: 1590796
    {'charpoly_factorization': [[[-8690285504, 11600, 1], 1]], 'hecke_orbit_code': 144115188176520176, 'p': 79}
  • id: 1590797
    {'charpoly_factorization': [[[4350606336, -132288, 1], 1]], 'hecke_orbit_code': 144115188176520176, 'p': 83}
  • id: 1590798
    {'charpoly_factorization': [[[297417532, 93452, 1], 1]], 'hecke_orbit_code': 144115188176520176, 'p': 89}
  • id: 1590799
    {'charpoly_factorization': [[[18251504452, 272932, 1], 1]], 'hecke_orbit_code': 144115188176520176, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 1, 'hecke_orbit': 33, 'label': '1008.6.a.bg', 'level': 1008, 'portrait': 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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 69242017
    {'hecke_orbit_code': 144115188176520176, 'n': 1, 'trace_an': 2}
  • id: 69242018
    {'hecke_orbit_code': 144115188176520176, 'n': 2, 'trace_an': 0}
  • id: 69242019
    {'hecke_orbit_code': 144115188176520176, 'n': 3, 'trace_an': 0}
  • id: 69242020
    {'hecke_orbit_code': 144115188176520176, 'n': 4, 'trace_an': 0}
  • id: 69242021
    {'hecke_orbit_code': 144115188176520176, 'n': 5, 'trace_an': -76}
  • id: 69242022
    {'hecke_orbit_code': 144115188176520176, 'n': 6, 'trace_an': 0}
  • id: 69242023
    {'hecke_orbit_code': 144115188176520176, 'n': 7, 'trace_an': -98}
  • id: 69242024
    {'hecke_orbit_code': 144115188176520176, 'n': 8, 'trace_an': 0}
  • id: 69242025
    {'hecke_orbit_code': 144115188176520176, 'n': 9, 'trace_an': 0}
  • id: 69242026
    {'hecke_orbit_code': 144115188176520176, 'n': 10, 'trace_an': 0}
  • id: 69242027
    {'hecke_orbit_code': 144115188176520176, 'n': 11, 'trace_an': 564}
  • id: 69242028
    {'hecke_orbit_code': 144115188176520176, 'n': 12, 'trace_an': 0}
  • id: 69242029
    {'hecke_orbit_code': 144115188176520176, 'n': 13, 'trace_an': 516}
  • id: 69242030
    {'hecke_orbit_code': 144115188176520176, 'n': 14, 'trace_an': 0}
  • id: 69242031
    {'hecke_orbit_code': 144115188176520176, 'n': 15, 'trace_an': 0}
  • id: 69242032
    {'hecke_orbit_code': 144115188176520176, 'n': 16, 'trace_an': 0}
  • id: 69242033
    {'hecke_orbit_code': 144115188176520176, 'n': 17, 'trace_an': 76}
  • id: 69242034
    {'hecke_orbit_code': 144115188176520176, 'n': 18, 'trace_an': 0}
  • id: 69242035
    {'hecke_orbit_code': 144115188176520176, 'n': 19, 'trace_an': -2360}
  • id: 69242036
    {'hecke_orbit_code': 144115188176520176, 'n': 20, 'trace_an': 0}
  • id: 69242037
    {'hecke_orbit_code': 144115188176520176, 'n': 21, 'trace_an': 0}
  • id: 69242038
    {'hecke_orbit_code': 144115188176520176, 'n': 22, 'trace_an': 0}
  • id: 69242039
    {'hecke_orbit_code': 144115188176520176, 'n': 23, 'trace_an': -2036}
  • id: 69242040
    {'hecke_orbit_code': 144115188176520176, 'n': 24, 'trace_an': 0}
  • id: 69242041
    {'hecke_orbit_code': 144115188176520176, 'n': 25, 'trace_an': 4270}
  • id: 69242042
    {'hecke_orbit_code': 144115188176520176, 'n': 26, 'trace_an': 0}
  • id: 69242043
    {'hecke_orbit_code': 144115188176520176, 'n': 27, 'trace_an': 0}
  • id: 69242044
    {'hecke_orbit_code': 144115188176520176, 'n': 28, 'trace_an': 0}
  • id: 69242045
    {'hecke_orbit_code': 144115188176520176, 'n': 29, 'trace_an': -8320}
  • id: 69242046
    {'hecke_orbit_code': 144115188176520176, 'n': 30, 'trace_an': 0}
  • id: 69242047
    {'hecke_orbit_code': 144115188176520176, 'n': 31, 'trace_an': 6280}
  • id: 69242048
    {'hecke_orbit_code': 144115188176520176, 'n': 32, 'trace_an': 0}
  • id: 69242049
    {'hecke_orbit_code': 144115188176520176, 'n': 33, 'trace_an': 0}
  • id: 69242050
    {'hecke_orbit_code': 144115188176520176, 'n': 34, 'trace_an': 0}
  • id: 69242051
    {'hecke_orbit_code': 144115188176520176, 'n': 35, 'trace_an': 3724}
  • id: 69242052
    {'hecke_orbit_code': 144115188176520176, 'n': 36, 'trace_an': 0}
  • id: 69242053
    {'hecke_orbit_code': 144115188176520176, 'n': 37, 'trace_an': -2460}
  • id: 69242054
    {'hecke_orbit_code': 144115188176520176, 'n': 38, 'trace_an': 0}
  • id: 69242055
    {'hecke_orbit_code': 144115188176520176, 'n': 39, 'trace_an': 0}
  • id: 69242056
    {'hecke_orbit_code': 144115188176520176, 'n': 40, 'trace_an': 0}
  • id: 69242057
    {'hecke_orbit_code': 144115188176520176, 'n': 41, 'trace_an': 14308}
  • id: 69242058
    {'hecke_orbit_code': 144115188176520176, 'n': 42, 'trace_an': 0}
  • id: 69242059
    {'hecke_orbit_code': 144115188176520176, 'n': 43, 'trace_an': -23128}
  • id: 69242060
    {'hecke_orbit_code': 144115188176520176, 'n': 44, 'trace_an': 0}
  • id: 69242061
    {'hecke_orbit_code': 144115188176520176, 'n': 45, 'trace_an': 0}
  • id: 69242062
    {'hecke_orbit_code': 144115188176520176, 'n': 46, 'trace_an': 0}
  • id: 69242063
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  • id: 69242254
    {'hecke_orbit_code': 144115188176520176, 'n': 859, 'trace_an': 19557448}
  • id: 69242255
    {'hecke_orbit_code': 144115188176520176, 'n': 863, 'trace_an': -46503812}
  • id: 69242256
    {'hecke_orbit_code': 144115188176520176, 'n': 877, 'trace_an': -50948}
  • id: 69242257
    {'hecke_orbit_code': 144115188176520176, 'n': 881, 'trace_an': -13172660}
  • id: 69242258
    {'hecke_orbit_code': 144115188176520176, 'n': 883, 'trace_an': -2175224}
  • id: 69242259
    {'hecke_orbit_code': 144115188176520176, 'n': 887, 'trace_an': -17063064}
  • id: 69242260
    {'hecke_orbit_code': 144115188176520176, 'n': 907, 'trace_an': 5006744}
  • id: 69242261
    {'hecke_orbit_code': 144115188176520176, 'n': 911, 'trace_an': 3168788}
  • id: 69242262
    {'hecke_orbit_code': 144115188176520176, 'n': 919, 'trace_an': 54772768}
  • id: 69242263
    {'hecke_orbit_code': 144115188176520176, 'n': 929, 'trace_an': 10128100}
  • id: 69242264
    {'hecke_orbit_code': 144115188176520176, 'n': 937, 'trace_an': -46408476}
  • id: 69242265
    {'hecke_orbit_code': 144115188176520176, 'n': 941, 'trace_an': 76273668}
  • id: 69242266
    {'hecke_orbit_code': 144115188176520176, 'n': 947, 'trace_an': -34358188}
  • id: 69242267
    {'hecke_orbit_code': 144115188176520176, 'n': 953, 'trace_an': 91767280}
  • id: 69242268
    {'hecke_orbit_code': 144115188176520176, 'n': 961, 'trace_an': 16312290}
  • id: 69242269
    {'hecke_orbit_code': 144115188176520176, 'n': 967, 'trace_an': 43471200}
  • id: 69242270
    {'hecke_orbit_code': 144115188176520176, 'n': 971, 'trace_an': -46995040}
  • id: 69242271
    {'hecke_orbit_code': 144115188176520176, 'n': 977, 'trace_an': -39867336}
  • id: 69242272
    {'hecke_orbit_code': 144115188176520176, 'n': 983, 'trace_an': -75129648}
  • id: 69242273
    {'hecke_orbit_code': 144115188176520176, 'n': 991, 'trace_an': 5642064}
  • id: 69242274
    {'hecke_orbit_code': 144115188176520176, 'n': 997, 'trace_an': -17927572}