Embedded newform data - 405.3.l.n.28.2

Formats: - HTML - YAML - JSON - 2025-09-23T10:31:06.237234

• 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': 3645, 'analytic_conductor': 11.035450706592025, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 45, 'char_degree': 4, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 12, 'char_orbit_label': 'l', 'char_order': 12, 'char_parity': -1, 'char_values': [405, 12, [326, 82], [4, 9]], 'cm_discs': [], 'conrey_index': 28, 'dim': 32, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [3906250000, 0, 0, 0, -5355250000, 0, 0, 0, 6324935356, 0, 0, 0, -1358242996, 0, 0, 0, 240112237, 0, 0, 0, -4481566, 0, 0, 0, 65527, 0, 0, 0, -286, 0, 0, 0, 1]]], 'hecke_orbit': 14, 'hecke_orbit_code': 58547551120392597, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 5, 3, -1, 4, 0], [1, 1, 9, 3, 1, 3, 0], [1, 1, 9, 4, -1, 6, 0], [1, 1, 15, 5, 1, 4, 0], [1, 1, 45, 11, -1, 12, 0], [1, 1, 45, 12, 1, 12, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '405.3.l.n', 'level': 405, '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': [3, 5], 'level_radical': 15, 'minimal_twist': '135.3.g.b', 'prim_orbit_index': 11, 'related_objects': [], 'relative_dim': 8, 'rm_discs': [], 'sato_tate_group': '2.2.3.c12', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '405.3.l', 'trace_display': [0, 0, 0, -16], 'traces': [32, 0, 0, 0, 0, 0, -16, 0, 0, 80, 0, 0, -40, 0, 0, 152, 0, 0, 0, 0, 0, 136, 0, 0, 32, 0, 0, -224, 0, 0, -200, 0, 0, 0, 0, 0, 32, 0, 0, 48, 0, 0, -136, 0, 0, 304, 0, 0, 0, 0, 0, -640, 0, 0, 496, 0, 0, -48, 0, 0, 280, 0, 0, 0, 0, 0, 344, 0, 0, 696, 0, 0, -1552, 0, 0, -144, 0, 0, 0, 0, 0, -1760, 0, 0, 176, 0, 0, -1200, 0, 0, 304, 0, 0, 0, 0, 0, -448, 0, 0, 2928, 0, 0, 248, 0, 0, 976, 0, 0, 0, 0, 0, -568, 0, 0, 1112, 0, 0, -1824, 0, 0, -264, 0, 0, 0, 0, 0, -256, 0, 0, -1184, 0, 0, -1512, 0, 0, 3408, 0, 0, 0, 0, 0, -176, 0, 0, 2160, 0, 0, 1336, 0, 0, 640, 0, 0, 0, 0, 0, 344, 0, 0, 3176, 0, 0, -1264, 0, 0, 1744, 0, 0, 0, 0, 0, -3136, 0, 0, -640, 0, 0, -2232, 0, 0, 208, 0, 0, 0, 0, 0, -656, 0, 0, 576, 0, 0, -544, 0, 0, 136, 0, 0, 0, 0, 0, -1160, 0, 0, 1144, 0, 0, -6160, 0, 0, -1064, 0, 0, 0, 0, 0, -32, 0, 0, -168, 0, 0, -1360, 0, 0, 5488, 0, 0, 0, 0, 0, -2520, 0, 0, 5120, 0, 0, 824, 0, 0, 208, 0, 0, 0, 0, 0, 360, 0, 0, 488, 0, 0, -2912, 0, 0, -328, 0, 0, 0, 0, 0, -4928, 0, 0, 1064, 0, 0, -2696, 0, 0, -4688, 0, 0, 0, 0, 0, 344, 0, 0, 1104, 0, 0, 248, 0, 0, 3416, 0, 0, 0, 0, 0, 2696, 0, 0, 1656, 0, 0, 4368, 0, 0, 16, 0, 0, 0, 0, 0, 3200, 0, 0, -1832, 0, 0, 1376, 0, 0, 1680, 0, 0, 0, 0, 0, -1376, 0, 0, 368, 0, 0, -840, 0, 0, -8, 0, 0, 0, 0, 0, 1928, 0, 0, -1112, 0, 0, -4272, 0, 0, -3296, 0, 0, 0, 0, 0, -1472, 0, 0, 1816, 0, 0, 2952, 0, 0, -1552, 0, 0, 0, 0, 0, -1456, 0, 0, 1056, 0, 0, -2488, 0, 0, 1176, 0, 0, 0, 0, 0, -4688, 0, 0, -2072, 0, 0, 3952, 0, 0, -2168, 0, 0, 0, 0, 0, 6368, 0, 0, 2072, 0, 0, -1400, 0, 0, 5088, 0, 0, 0, 0, 0, 1880, 0, 0, 848, 0, 0, 1728, 0, 0, -152, 0, 0, 0, 0, 0, 4600, 0, 0, -224, 0, 0, 464, 0, 0, 6336, 0, 0, 0, 0, 0, -4880, 0, 0, 1656, 0, 0, 4504, 0, 0, -4768, 0, 0, 0, 0, 0, 3368, 0, 0, -13648, 0, 0, -1408, 0, 0, -4496, 0, 0, 0, 0, 0, -2160, 0, 0, -1656, 0, 0, 5952, 0, 0, -4616, 0, 0, 0, 0, 0, 5360, 0, 0, -2696, 0, 0, 2328, 0, 0, -8336, 0, 0, 0, 0, 0, -968, 0, 0, 1504, 0, 0, 1048, 0, 0, -5144, 0, 0, 0, 0, 0, -1592, 0, 0, -6408, 0, 0, 896, 0, 0, 7504, 0, 0, 0, 0, 0, 5040, 0, 0, -1048, 0, 0, 936, 0, 0, -5264, 0, 0, 0, 0, 0, 3944, 0, 0, -16640, 0, 0, -2136, 0, 0, -2112, 0, 0, 0, 0, 0, -2960, 0, 0, -3136, 0, 0, 20400, 0, 0, -2216, 0, 0, 0, 0, 0, 11696, 0, 0, -3792, 0, 0, 2728, 0, 0, 4192, 0, 0, 0, 0, 0, 7136, 0, 0, -7440, 0, 0, 4120, 0, 0, -3608, 0, 0, 0, 0, 0, 3008, 0, 0, -7400, 0, 0, -4432, 0, 0, 1488, 0, 0, 0, 0, 0, -16304, 0, 0, 4760, 0, 0, 6232, 0, 0, -17360, 0, 0, 0, 0, 0, 2600, 0, 0, -1776, 0, 0, -904, 0, 0, -2592, 0, 0, 0, 0, 0, -8392, 0, 0, 3016, 0, 0, 16784, 0, 0, 3544, 0, 0, 0, 0, 0, 15024, 0, 0, 1992, 0, 0, 4112, 0, 0, 19520, 0, 0, 0, 0, 0, 7640, 0, 0, 6416, 0, 0, -1408, 0, 0, 3088, 0, 0, 0, 0, 0, 2680, 0, 0, -3128, 0, 0, 4608, 0, 0, 7864, 0, 0, 0, 0, 0, 9360, 0, 0, 304, 0, 0, 8352, 0, 0, -22160, 0, 0, 0, 0, 0, -88, 0, 0, -22496, 0, 0, -4504, 0, 0, -11432, 0, 0, 0, 0, 0, -6008, 0, 0, -6552, 0, 0, 1472, 0, 0, -8048, 0, 0, 0, 0, 0, 2192, 0, 0, -1728, 0, 0, -1224, 0, 0, 7216, 0, 0, 0, 0, 0, -5104, 0, 0, 5824, 0, 0, -1416, 0, 0, -6352, 0, 0, 0, 0, 0, 3152, 0, 0, -2208, 0, 0, -2480, 0, 0, -10296, 0, 0, 0, 0, 0, 976, 0, 0, 7744, 0, 0, 4200, 0, 0, 2944, 0, 0, 0, 0, 0, 3312, 0, 0, -11760, 0, 0, 2192, 0, 0, 11760, 0, 0, 0, 0, 0, 8360, 0, 0, -328, 0, 0, 16896, 0, 0, 1304, 0, 0, 0, 0, 0, 7584, 0, 0, -336, 0, 0, 3752, 0, 0, -32160, 0, 0, 0, 0, 0, 40, 0, 0, -4912, 0, 0, 4424, 0, 0, 3592, 0, 0, 0, 0, 0, 3152, 0, 0, -11288, 0, 0, 1328, 0, 0, 6784, 0, 0, 0, 0, 0, -18256, 0, 0, -4464, 0, 0, 504, 0, 0, -1664, 0, 0, 0, 0, 0, -8080, 0, 0, -2912, 0, 0, -9824, 0, 0, 1056, 0, 0, 0, 0, 0, -3104, 0, 0, -2728, 0, 0, -4944, 0, 0, -6192, 0, 0, 0, 0, 0, 14144, 0, 0, 3856, 0, 0, -4640, 0, 0, 21584, 0, 0, 0, 0, 0, 3480, 0, 0, 10288, 0, 0, 816, 0, 0, -1560, 0, 0, 0, 0, 0, 9272, 0, 0, 3216, 0, 0, -1824, 0, 0, 3712, 0, 0, 0, 0, 0, -2192, 0, 0, 6584, 0, 0, 3600, 0, 0, -3680, 0, 0, 0, 0, 0, 3872, 0, 0, 8832], 'weight': 3, 'weight_parity': -1}
• 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

  
  {'an_normalized': [[1.0, 0.0], [-1.394562597859548, -0.37367192189111437], [0.0, 0.0], [0.9391487303545334, 0.5422177722792851], [0.9012707556827506, -0.43325630399457976], [0.0, 0.0], [-1.6442310728668448, -0.44057038814482957], [-0.08619946016016149, -0.08619946016016149], [0.0, 0.0], [-1.4187742022048702, 0.2674234614174767], [0.5590725497461285, 0.9683420612773732], [0.0, 0.0], [-0.06972062985449433, 0.01868158646530098], [2.128354372792186, 1.2288059700624858], [0.0, 0.0], [-0.4542175471282638, -0.7867278693154639], [0.439854689792128, -0.439854689792128], [0.0, 0.0], [0.0, 1.3166467245069797], [1.0813465538830238, 0.08179291355216155], [0.0, 0.0], [-0.417819428280403, -1.5593233347318447], [-1.0755888369304734, 0.2882031602434509], [0.0, 0.0], [0.6245779500979126, -0.7809624730110208], [0.10421056701275161, 0.0], [0.0, 0.0], [-1.3052924301002602, -1.3052924301002602], [0.10103884034465897, -0.05833480167159648], [0.0, 0.0], [-0.4658527256469644, 0.8068805896649873], [0.37100787979529604, 1.3846202574044515], [0.0, 0.0], [-0.77776624616466, 0.44904355158977116], [-1.6727772795768472, 0.31530027088859847], [0.0, 0.0], [-0.07015754884260542, 0.07015754884260542], [0.4919939119981637, -1.836146276591718], [0.0, 0.0], [-0.11503551211331349, -0.04034259308267431], [0.284627298555079, -0.4929889423184725], [0.0, 0.0], [-0.09903335837355318, 0.3695975250942772], [0.0, 1.2125562898633824], [0.0, 0.0], [1.6076693914417537, 0.0], [1.4252007088248124, 0.3818813789818722], [0.0, 0.0], [1.6433681502863313, 0.9487990439454707], [-1.1628367968692017, 0.8557138122091666], [0.0, 0.0], [-0.07560752920322505, -0.02025897639171668], [0.5224423281178294, 0.5224423281178294], [0.0, 0.0], [0.923416041862703, 0.6305166747590171], [0.10375490123904806, 0.17970876048032228], [0.0, 0.0], [-0.16270306512952618, 0.0435961549075249], [1.288087148609056, 0.7436774619891359], [0.0, 0.0], [0.6479415024335888, 1.1222676025474891], [0.9511694079749333, -0.9511694079749333], [0.0, 0.0], [0.0, -1.1611397564382362], [-0.054743249650925974, 0.04704406995386683], [0.0, 0.0], [-0.2475232795798213, -0.9237694554479691], [0.6515860034844477, -0.1745919434330805], [0.0, 0.0], [2.450611486842847, 0.18536393607904747], [1.2501979000991927, 0.0], [0.0, 0.0], [0.1755807753806044, 0.1755807753806044], [0.12405499968458801, -0.07162318746221583], [0.0, 0.0], [-0.7139092538409921, 1.236527099646185], [-0.49262162048554275, -1.8384889165589589], [0.0, 0.0], [-0.33280371736371483, 0.19214431580724886], [-0.7502278008538042, -0.5122622056163529], [0.0, 0.0], [-0.5811467104419274, 0.5811467104419274], [-0.4735362281403245, 1.7672612626442181], [0.0, 0.0], [0.20585835146553327, -0.5869979858535729], [0.27621643505635585, -0.4784208994031575], [0.0, 0.0], [0.035278810954006284, -0.1316623149109689], [0.0, 1.3246179236525586], [0.0, 0.0], [0.12286737982678622, 0.0], [-1.166406766097817, -0.3125377510221075], [0.0, 0.0], [-1.8448332541514145, -1.0651149758942924], [0.5704454935264637, 1.1866551883636238], [0.0, 0.0], [-0.19053279053257946, -0.051053107354852925], [-1.9372401946633901, -1.9372401946633901], [0.0, 0.0], [1.0100233211916487, -0.394782650265984], [-0.09728035921682324, -0.16849452474208915], [0.0, 0.0], [1.60765717753662, -0.4307704424270354], [0.007620223323728173, 0.004399537987239526], [0.0, 0.0], [-0.533356501506733, -0.923800559156848], [0.09891549058807644, -0.09891549058807644], [0.0, 0.0], [0.0, 0.08330745538265553], [-1.0521550966036355, -1.2243496190136205], [0.0, 0.0], [0.4002296020809832, 1.4936772096593036], [-1.3154129170997328, 0.3524638288503407], [0.0, 0.0], [-0.8445309278576235, 0.7257547241290975], [0.12652066483490784, 0.0], [0.0, 0.0], [-1.5184267737451558, -1.5184267737451558], [-0.9170096999114653, 0.5294357970933824], [0.0, 0.0], [-0.12512423175927473, 0.21672152666508715], [-0.48423509297475065, -1.8071899697896086], [0.0, 0.0], [-0.8750099916470907, 0.50518725422106], [0.2245569264523074, -0.9744609724264451], [0.0, 0.0], [-0.906840933751268, 0.906840933751268], [-0.0628774445771601, 0.2346618178120577], [0.0, 0.0], [0.09392193648171056, -0.045149885101124235], [0.07197624347446678, -0.12466651063572431], [0.0, 0.0], [0.5800755584656585, -2.1648714564227283], [0.0, 1.380746831206203], [0.0, 0.0], [-0.07583047361799346, 0.0], [0.5332844511451073, 0.14289313802040599], [0.0, 0.0], [0.28007381185979674, 0.16170069067021825], [-1.7419480687607773, -0.6108957209660933], [0.0, 0.0], [-1.7434792314008818, -0.46716385207430083], [-0.057069056248399225, -0.057069056248399225], [0.0, 0.0], [0.06578943142424687, -0.09635116531278852], [-0.1792487764653669, -0.3104679880325719], [0.0, 0.0], [-0.10392904276233167, 0.02784770307830639], [-0.9545472227380368, -0.5511080960020152], [0.0, 0.0], [-0.12715948387086037, -0.22024668672856534], [0.1134942368741465, -0.1134942368741465], [0.0, 0.0], [0.0, 2.747966747304395], [-0.07027333603748918, 0.9290515089127113], [0.0, 0.0], [-0.10739768718086157, -0.40081362517436403], 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-0.3996223102898317, -0.4603359759587587, -0.23510689749816505, -0.1858917970536752, -0.07770491442061665, -0.11676589648879286, 0.050396308643304535, -0.29963836085361284, 0.07556833180999113, 0.12417820606950988, -0.44102178888543375, -0.3458824913788471, -0.17763759325740267, -0.08300777464073918, -0.3875799598313219, -0.31973364383619557, -0.40248607062484504, -0.2117056869791354, 0.0853317848622303, -0.0968392133969261, -0.47385823865265786, -0.47069272034632537, 0.10356588217150056, -0.44054711612914227, 0.11979626231460255, -0.4744159054419637, -0.3345226572067808, -0.33774525039414943, -0.32631389803691896, -0.22660607906991087, -0.14951513055904617, -0.38676372380547897, -0.3834091072230735, -0.1620474245362461, -0.26831798314761257, -0.08261323372328891, -0.4249131213579707, -0.02244465891733664, -0.30831344471437644, 0.12479624497801212, -0.3135809032585497, 0.001846430142083449, -0.1291624899210311, -0.320799742019968, -0.3903891822316414, -0.3268801088753286, -0.27784414214611036, -0.4943933856182456, -0.004255436747833272, -0.08055126833907453, -0.10404020726090561, -0.13684845355864805, -0.022897544293911835, -0.12177242512508939, -0.15691786821959153, -0.2130079930970842, -0.3549175522291936, -0.4523690972229218, -0.48383834917881696, -0.32090733818607375, -0.18913073417233095, -0.10706402832764551, -0.04383984443958957, -0.13169041465690381, 0.028118994756727828, -0.216228179227432, -0.008740701887102588, -0.3465523105695017, -0.45033037845970486, -0.15671919490767386, -0.17064779633959998, -0.41977070676564204, -0.32935835680981695, -0.38211046637239593, -0.3286246078093975, -0.47835935984732597, -0.17740768863937614, -0.22053760577997533, -0.12481781703554513, -0.2910674418157541, -0.29079275535000265, 0.10610597187346615, -0.25828761218359503, -0.3693869544471476, -0.4633011912925746, -0.30292695827591254, -0.498704019842517, -0.19894122924055066, -0.4596138912849316, -0.07411906672888603, -0.20082077027351064, -0.4297530803335593, -0.36516445559941746, -0.44481231265697113, -0.05009310383559675, -0.0012257342653748992, -0.2837243765822731, 0.27009327914304926, 0.011039054005042005, -0.25808163538674, -0.38742232723609477, -0.13944450226941815, -0.29034558804370947, -0.09687271102450525, -0.07053061941830224, -0.21024300033929114, -0.18158712165172983, -0.48933649793031525, -0.2802297385968116, -0.4964990181921504, 0.07409869220591488, -0.25058443012726955, -0.24472728956995526, -0.4876558176508676, -0.09542921579127002, -0.0353367827306554, -0.4025858478518961, -0.31747500019862795, -0.006535673666214497, -0.42320080892378753, -0.20313489207925414, -0.24152818763435935], 'char_orbit_index': 12, 'conrey_index': 28, 'dual_conrey_index': 217, 'dual_embedding_index': 2, 'dual_embedding_m': 10, 'embedding_index': 2, 'embedding_m': 2, 'hecke_orbit': 14, 'hecke_orbit_code': 58547551120392597, 'label': '405.3.l.n.28.2', 'level': 405, 'weight': 3}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	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

  
  {'Nk2': 3645, 'analytic_conductor': 11.035450706592025, 'char_conductor': 45, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 12, 'char_orbit_label': 'l', 'char_order': 12, 'char_parity': -1, 'char_values': [405, 12, [326, 82], [4, 9]], 'conrey_index': 28, 'cusp_dim': 384, 'dim': 184, 'eis_dim': 96, 'eis_new_dim': 16, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 755964576149, 'hecke_orbit_dims': [4, 4, 4, 4, 8, 8, 8, 8, 8, 16, 16, 16, 16, 32, 32], 'label': '405.3.l', 'level': 405, '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': [3, 5], 'level_radical': 15, 'mf_dim': 480, 'mf_new_dim': 200, 'num_forms': 15, 'prim_orbit_index': 11, 'relative_dim': 46, 'sturm_bound': 162, 'trace_bound': 7, 'trace_display': [0, 0, 0, 4], 'traces': [184, 0, 0, 0, 0, 0, 4, 0, 0, -8, 0, 0, 4, 0, 0, 328, 0, 0, 0, 0, 0, 20, 0, 0, 16, 0, 0, 152, 0, 0, 8, 0, 0, 0, 0, 0, 160, 0, 0, -60, 0, 0, 4, 0, 0, 728, 0, 0, 0, 0, 0, -44, 0, 0, -472, 0, 0, -252, 0, 0, -184, 0, 0, 0, 0, 0, 160, 0, 0, -96, 0, 0, -8, 0, 0, 660, 0, 0, 0, 0, 0, -88, 0, 0, 52, 0, 0, 300, 0, 0, -352, 0, 0, 0, 0, 0, -296, 0, 0, 120, 0, 0, -644, 0, 0, -1012, 0, 0, 0, 0, 0, -104, 0, 0, -284, 0, 0, -4536, 0, 0, -876, 0, 0, 0, 0, 0, -656, 0, 0, 80, 0, 0, -228, 0, 0, 720, 0, 0, 0, 0, 0, 404, 0, 0, 1896, 0, 0, 596, 0, 0, 1376, 0, 0, 0, 0, 0, -500, 0, 0, 424, 0, 0, 2320, 0, 0, 1916, 0, 0, 0, 0, 0, 1264, 0, 0, -668, 0, 0, -2292, 0, 0, 1376, 0, 0, 0, 0, 0, 1508, 0, 0, -2592, 0, 0, -476, 0, 0, -136, 0, 0, 0, 0, 0, 1376, 0, 0, 1244, 0, 0, -1712, 0, 0, 1016, 0, 0, 0, 0, 0, -1120, 0, 0, 1044, 0, 0, 2212, 0, 0, -1360, 0, 0, 0, 0, 0, -3168, 0, 0, 688, 0, 0, -2384, 0, 0, -2704, 0, 0, 0, 0, 0, -3108, 0, 0, -2144, 0, 0, -4024, 0, 0, -4520, 0, 0, 0, 0, 0, -3112, 0, 0, 2608, 0, 0, -1444, 0, 0, 464, 0, 0, 0, 0, 0, 244, 0, 0, 12528, 0, 0, 1012, 0, 0, 3568, 0, 0, 0, 0, 0, -1232, 0, 0, 1212, 0, 0, 11928, 0, 0, 5120, 0, 0, 0, 0, 0, 832, 0, 0, -604, 0, 0, 688, 0, 0, -312, 0, 0, 0, 0, 0, 4856, 0, 0, -7112, 0, 0, 3756, 0, 0, 2600, 0, 0, 0, 0, 0, 5128, 0, 0, 4100, 0, 0, 2376, 0, 0, -2356, 0, 0, 0, 0, 0, -3376, 0, 0, -796, 0, 0, 5688, 0, 0, -1448, 0, 0, 0, 0, 0, -3380, 0, 0, 4248, 0, 0, -1232, 0, 0, -4152, 0, 0, 0, 0, 0, -8620, 0, 0, -5356, 0, 0, -10864, 0, 0, -7096, 0, 0, 0, 0, 0, 136, 0, 0, 6448, 0, 0, -1252, 0, 0, 4656, 0, 0, 0, 0, 0, -4124, 0, 0, 11464, 0, 0, 372, 0, 0, 1136, 0, 0, 0, 0, 0, 1268, 0, 0, 2132, 0, 0, 2296, 0, 0, 4020, 0, 0, 0, 0, 0, 2096, 0, 0, -1284, 0, 0, -5476, 0, 0, -848, 0, 0, 0, 0, 0, 4648, 0, 0, -21872, 0, 0, -2072, 0, 0, 2216, 0, 0, 0, 0, 0, 12768, 0, 0, -984, 0, 0, 1224, 0, 0, 464, 0, 0, 0, 0, 0, -4640, 0, 0, -8668, 0, 0, 1044, 0, 0, -20488, 0, 0, 0, 0, 0, -5644, 0, 0, -8968, 0, 0, -1660, 0, 0, -9160, 0, 0, 0, 0, 0, -5008, 0, 0, -8124, 0, 0, -15224, 0, 0, -4432, 0, 0, 0, 0, 0, -312, 0, 0, -1340, 0, 0, -5328, 0, 0, 8480, 0, 0, 0, 0, 0, -5564, 0, 0, 11456, 0, 0, 348, 0, 0, 8208, 0, 0, 0, 0, 0, -1072, 0, 0, 3736, 0, 0, 25608, 0, 0, 9008, 0, 0, 0, 0, 0, 21136, 0, 0, -132, 0, 0, 3080, 0, 0, 10280, 0, 0, 0, 0, 0, 19084, 0, 0, -7656, 0, 0, 11120, 0, 0, -2776, 0, 0, 0, 0, 0, 8512, 0, 0, 4580, 0, 0, -1040, 0, 0, 96, 0, 0, 0, 0, 0, -13696, 0, 0, -368, 0, 0, 7448, 0, 0, -23392, 0, 0, 0, 0, 0, -6044, 0, 0, -8400, 0, 0, -6020, 0, 0, -12588, 0, 0, 0, 0, 0, -15332, 0, 0, 908, 0, 0, -13808, 0, 0, -4528, 0, 0, 0, 0, 0, -2616, 0, 0, -2220, 0, 0, -9116, 0, 0, 17296, 0, 0, 0, 0, 0, 3736, 0, 0, 18472, 0, 0, -7244, 0, 0, 7664, 0, 0, 0, 0, 0, 1532, 0, 0, 11048, 0, 0, 17328, 0, 0, 15008, 0, 0, 0, 0, 0, 50568, 0, 0, 4208, 0, 0, 7308, 0, 0, 7088, 0, 0, 0, 0, 0, 7600, 0, 0, -29944, 0, 0, 5728, 0, 0, 10484, 0, 0, 0, 0, 0, 7292, 0, 0, -9264, 0, 0, 11248, 0, 0, -3688, 0, 0, 0, 0, 0, -16976, 0, 0, -14940, 0, 0, 4740, 0, 0, -5560, 0, 0, 0, 0, 0, -12572, 0, 0, 680, 0, 0, 8028, 0, 0, -6200, 0, 0, 0, 0, 0, -10004, 0, 0, -7632, 0, 0, -13192, 0, 0, -21168, 0, 0, 0, 0, 0, -16696, 0, 0, 6188, 0, 0, -6000, 0, 0, 27728, 0, 0, 0, 0, 0, -10188, 0, 0, 17904, 0, 0, 988, 0, 0, 8712, 0, 0, 0, 0, 0, 8308, 0, 0, 13780, 0, 0, 6336, 0, 0, 4540, 0, 0, 0, 0, 0, 6768, 0, 0, 13644, 0, 0, 2464, 0, 0, 96, 0, 0, 0, 0, 0, 20744, 0, 0, -12344, 0, 0, 8512, 0, 0, 18272, 0, 0, 0, 0, 0, 16852, 0, 0, -16828, 0, 0, 16120, 0, 0, 2228, 0, 0, 0, 0, 0, -42416, 0, 0, -8040, 0, 0, -1176, 0, 0, -34432, 0, 0, 0, 0, 0, -3584, 0, 0, -13120, 0, 0, -2776, 0, 0, -34452, 0, 0, 0, 0, 0, -7132, 0, 0, -5840, 0, 0, -31104, 0, 0, -20544, 0, 0, 0, 0, 0, 3568, 0, 0, -11032, 0, 0, -11668, 0, 0, 33232, 0, 0, 0, 0, 0, -23940, 0, 0, 5840, 0, 0, -26820, 0, 0, 8868, 0, 0, 0, 0, 0, 2656, 0, 0, 3372, 0, 0, 5136, 0, 0, 33668, 0, 0, 0, 0, 0, 67352, 0, 0, 5140, 0, 0, 10116, 0, 0, 2384, 0, 0, 0, 0, 0, 14716, 0, 0, 9216], 'weight': 3, '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: 47750046
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 28, 'source_dim': 32, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58547551120392597, 'source_is_minimal': False, 'source_label': '405.3.l.n.28.2', 'source_level': 405, 'target_conrey_index': 28, 'target_dim': 32, 'target_embedding_index': 2, 'target_hecke_orbit_code': 58547551120392597, 'target_is_minimal': False, 'target_label': '405.3.l.n.28.2', 'target_level': 405, 'twist_class_label': '135.3.g.b.28.2', 'twist_class_level': 135, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 3}
  • id: 47750047
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 28, 'source_dim': 32, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58547551120392597, 'source_is_minimal': False, 'source_label': '405.3.l.n.28.2', 'source_level': 405, 'target_conrey_index': 28, 'target_dim': 32, 'target_embedding_index': 7, 'target_hecke_orbit_code': 58547551120392597, 'target_is_minimal': False, 'target_label': '405.3.l.n.28.7', 'target_level': 405, 'twist_class_label': '135.3.g.b.28.2', 'twist_class_level': 135, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 3}
  • id: 47750048
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 28, 'source_dim': 32, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58547551120392597, 'source_is_minimal': False, 'source_label': '405.3.l.n.28.2', 'source_level': 405, 'target_conrey_index': 352, 'target_dim': 32, 'target_embedding_index': 7, 'target_hecke_orbit_code': 58547551120392597, 'target_is_minimal': False, 'target_label': '405.3.l.n.352.7', 'target_level': 405, 'twist_class_label': '135.3.g.b.28.2', 'twist_class_level': 135, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 3}
  • id: 47750049
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 28, 'source_dim': 32, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58547551120392597, 'source_is_minimal': False, 'source_label': '405.3.l.n.28.2', 'source_level': 405, 'target_conrey_index': 298, 'target_dim': 32, 'target_embedding_index': 2, 'target_hecke_orbit_code': 58547551120392597, 'target_is_minimal': False, 'target_label': '405.3.l.n.298.2', 'target_level': 405, 'twist_class_label': '135.3.g.b.28.2', 'twist_class_level': 135, 'twisting_char_label': '9.2', 'twisting_conrey_index': 2, 'weight': 3}
  • id: 47750050
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 28, 'source_dim': 32, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58547551120392597, 'source_is_minimal': False, 'source_label': '405.3.l.n.28.2', 'source_level': 405, 'target_conrey_index': 28, 'target_dim': 16, 'target_embedding_index': 7, 'target_hecke_orbit_code': 4504011994562695, 'target_is_minimal': True, 'target_label': '135.3.g.b.28.7', 'target_level': 135, 'twist_class_label': '135.3.g.b.28.2', 'twist_class_level': 135, 'twisting_char_label': '9.4', 'twisting_conrey_index': 4, 'weight': 3}
  • id: 47750051
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 28, 'source_dim': 32, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58547551120392597, 'source_is_minimal': False, 'source_label': '405.3.l.n.28.2', 'source_level': 405, 'target_conrey_index': 28, 'target_dim': 16, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4504011994562695, 'target_is_minimal': True, 'target_label': '135.3.g.b.28.2', 'target_level': 135, 'twist_class_label': '135.3.g.b.28.2', 'twist_class_level': 135, 'twisting_char_label': '9.5', 'twisting_conrey_index': 5, 'weight': 3}
  • id: 47750052
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 28, 'source_dim': 32, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58547551120392597, 'source_is_minimal': False, 'source_label': '405.3.l.n.28.2', 'source_level': 405, 'target_conrey_index': 298, 'target_dim': 32, 'target_embedding_index': 7, 'target_hecke_orbit_code': 58547551120392597, 'target_is_minimal': False, 'target_label': '405.3.l.n.298.7', 'target_level': 405, 'twist_class_label': '135.3.g.b.28.2', 'twist_class_level': 135, 'twisting_char_label': '9.7', 'twisting_conrey_index': 7, 'weight': 3}
  • id: 47750053
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 28, 'source_dim': 32, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58547551120392597, 'source_is_minimal': False, 'source_label': '405.3.l.n.28.2', 'source_level': 405, 'target_conrey_index': 352, 'target_dim': 32, 'target_embedding_index': 2, 'target_hecke_orbit_code': 58547551120392597, 'target_is_minimal': False, 'target_label': '405.3.l.n.352.2', 'target_level': 405, 'twist_class_label': '135.3.g.b.28.2', 'twist_class_level': 135, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 3}
  • id: 47750054
    {'conductor': 45, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 28, 'source_dim': 32, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58547551120392597, 'source_is_minimal': False, 'source_label': '405.3.l.n.28.2', 'source_level': 405, 'target_conrey_index': 217, 'target_dim': 32, 'target_embedding_index': 7, 'target_hecke_orbit_code': 58547551120392597, 'target_is_minimal': False, 'target_label': '405.3.l.n.217.7', 'target_level': 405, 'twist_class_label': '135.3.g.b.28.2', 'twist_class_level': 135, 'twisting_char_label': '45.2', 'twisting_conrey_index': 2, 'weight': 3}
  • id: 47750055
    {'conductor': 45, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 28, 'source_dim': 32, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58547551120392597, 'source_is_minimal': False, 'source_label': '405.3.l.n.28.2', 'source_level': 405, 'target_conrey_index': 568, 'target_dim': 16, 'target_embedding_index': 2, 'target_hecke_orbit_code': 40532809013527203, 'target_is_minimal': False, 'target_label': '675.3.g.j.568.2', 'target_level': 675, 'twist_class_label': '135.3.g.b.28.2', 'twist_class_level': 135, 'twisting_char_label': '45.4', 'twisting_conrey_index': 4, 'weight': 3}
  • id: 47750056
    {'conductor': 45, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 28, 'source_dim': 32, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58547551120392597, 'source_is_minimal': False, 'source_label': '405.3.l.n.28.2', 'source_level': 405, 'target_conrey_index': 217, 'target_dim': 32, 'target_embedding_index': 2, 'target_hecke_orbit_code': 58547551120392597, 'target_is_minimal': False, 'target_label': '405.3.l.n.217.2', 'target_level': 405, 'twist_class_label': '135.3.g.b.28.2', 'twist_class_level': 135, 'twisting_char_label': '45.7', 'twisting_conrey_index': 7, 'weight': 3}
  • id: 47750057
    {'conductor': 45, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 28, 'source_dim': 32, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58547551120392597, 'source_is_minimal': False, 'source_label': '405.3.l.n.28.2', 'source_level': 405, 'target_conrey_index': 82, 'target_dim': 16, 'target_embedding_index': 2, 'target_hecke_orbit_code': 40532809013527203, 'target_is_minimal': False, 'target_label': '675.3.g.j.82.2', 'target_level': 675, 'twist_class_label': '135.3.g.b.28.2', 'twist_class_level': 135, 'twisting_char_label': '45.13', 'twisting_conrey_index': 13, 'weight': 3}
  • id: 47750058
    {'conductor': 45, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 28, 'source_dim': 32, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58547551120392597, 'source_is_minimal': False, 'source_label': '405.3.l.n.28.2', 'source_level': 405, 'target_conrey_index': 568, 'target_dim': 16, 'target_embedding_index': 7, 'target_hecke_orbit_code': 40532809013527203, 'target_is_minimal': False, 'target_label': '675.3.g.j.568.7', 'target_level': 675, 'twist_class_label': '135.3.g.b.28.2', 'twist_class_level': 135, 'twisting_char_label': '45.14', 'twisting_conrey_index': 14, 'weight': 3}
  • id: 47750059
    {'conductor': 45, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 28, 'source_dim': 32, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58547551120392597, 'source_is_minimal': False, 'source_label': '405.3.l.n.28.2', 'source_level': 405, 'target_conrey_index': 82, 'target_dim': 16, 'target_embedding_index': 7, 'target_hecke_orbit_code': 4504011994562695, 'target_is_minimal': True, 'target_label': '135.3.g.b.82.7', 'target_level': 135, 'twist_class_label': '135.3.g.b.28.2', 'twist_class_level': 135, 'twisting_char_label': '45.22', 'twisting_conrey_index': 22, 'weight': 3}
  • id: 47750060
    {'conductor': 45, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 28, 'source_dim': 32, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58547551120392597, 'source_is_minimal': False, 'source_label': '405.3.l.n.28.2', 'source_level': 405, 'target_conrey_index': 82, 'target_dim': 16, 'target_embedding_index': 7, 'target_hecke_orbit_code': 40532809013527203, 'target_is_minimal': False, 'target_label': '675.3.g.j.82.7', 'target_level': 675, 'twist_class_label': '135.3.g.b.28.2', 'twist_class_level': 135, 'twisting_char_label': '45.23', 'twisting_conrey_index': 23, 'weight': 3}
  • id: 47750061
    {'conductor': 45, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 28, 'source_dim': 32, 'source_embedding_index': 2, 'source_hecke_orbit_code': 58547551120392597, 'source_is_minimal': False, 'source_label': '405.3.l.n.28.2', 'source_level': 405, 'target_conrey_index': 82, 'target_dim': 16, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4504011994562695, 'target_is_minimal': True, 'target_label': '135.3.g.b.82.2', 'target_level': 135, 'twist_class_label': '135.3.g.b.28.2', 'twist_class_level': 135, 'twisting_char_label': '45.32', 'twisting_conrey_index': 32, 'weight': 3}
• hecke_orbit_code 58547551120392597 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

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

  
  {'char_orbit_index': 12, 'hecke_orbit': 14, 'label': '405.3.l.n', 'level': 405, 'portrait': 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', 'weight': 3}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 59322433
    {'hecke_orbit_code': 58547551120392597, 'n': 1, 'trace_an': 32}
  • id: 59322434
    {'hecke_orbit_code': 58547551120392597, 'n': 2, 'trace_an': 0}
  • id: 59322435
    {'hecke_orbit_code': 58547551120392597, 'n': 3, 'trace_an': 0}
  • id: 59322436
    {'hecke_orbit_code': 58547551120392597, 'n': 4, 'trace_an': 0}
  • id: 59322437
    {'hecke_orbit_code': 58547551120392597, 'n': 5, 'trace_an': 0}
  • id: 59322438
    {'hecke_orbit_code': 58547551120392597, 'n': 6, 'trace_an': 0}
  • id: 59322439
    {'hecke_orbit_code': 58547551120392597, 'n': 7, 'trace_an': -16}
  • id: 59322440
    {'hecke_orbit_code': 58547551120392597, 'n': 8, 'trace_an': 0}
  • id: 59322441
    {'hecke_orbit_code': 58547551120392597, 'n': 9, 'trace_an': 0}
  • id: 59322442
    {'hecke_orbit_code': 58547551120392597, 'n': 10, 'trace_an': 80}
  • id: 59322443
    {'hecke_orbit_code': 58547551120392597, 'n': 11, 'trace_an': 0}
  • id: 59322444
    {'hecke_orbit_code': 58547551120392597, 'n': 12, 'trace_an': 0}
  • id: 59322445
    {'hecke_orbit_code': 58547551120392597, 'n': 13, 'trace_an': -40}
  • id: 59322446
    {'hecke_orbit_code': 58547551120392597, 'n': 14, 'trace_an': 0}
  • id: 59322447
    {'hecke_orbit_code': 58547551120392597, 'n': 15, 'trace_an': 0}
  • id: 59322448
    {'hecke_orbit_code': 58547551120392597, 'n': 16, 'trace_an': 152}
  • id: 59322449
    {'hecke_orbit_code': 58547551120392597, 'n': 17, 'trace_an': 0}
  • id: 59322450
    {'hecke_orbit_code': 58547551120392597, 'n': 18, 'trace_an': 0}
  • id: 59322451
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  • id: 59322648
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  • id: 59322650
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  • id: 59322654
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  • id: 59322661
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  • id: 59322662
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  • id: 59322663
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  • id: 59322665
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  • id: 59322667
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  • id: 59322668
    {'hecke_orbit_code': 58547551120392597, 'n': 853, 'trace_an': 3752}
  • id: 59322669
    {'hecke_orbit_code': 58547551120392597, 'n': 857, 'trace_an': 0}
  • id: 59322670
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  • id: 59322672
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  • id: 59322674
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  • id: 59322675
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  • id: 59322676
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  • id: 59322677
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  • id: 59322678
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  • id: 59322680
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  • id: 59322681
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  • id: 59322685
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  • id: 59322686
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  • id: 59322687
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  • id: 59322688
    {'hecke_orbit_code': 58547551120392597, 'n': 983, 'trace_an': 0}
  • id: 59322689
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  • id: 59322690
    {'hecke_orbit_code': 58547551120392597, 'n': 997, 'trace_an': 3872}