Embedded newform data - 735.4.a.q.1.1

Formats: - HTML - YAML - JSON - 2024-10-12T09:07:33.758686

• 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': 11760, 'analytic_conductor': 43.36640385421935, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [5, -1], [7, -1]], 'atkin_lehner_string': '+--', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [735, 1, [491, 442, 346], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 41, 'field_disc_factorization': [[41, 1]], 'field_poly': [-10, -1, 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': [[2, [-8, -3, 1]], [11, [920, -62, 1]], [13, [-1016, -6, 1]]], 'hecke_orbit': 17, 'hecke_orbit_code': 72057594105037535, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], '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': '735.4.a.q', 'level': 735, '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, 7], 'level_radical': 105, 'minimal_twist': '105.4.a.g', 'nf_label': '2.2.41.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(1+\\beta )q^{2}-3q^{3}+(3+3\\beta )q^{4}+5q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '735.4.a', 'trace_display': [3, -6, 10, 0], 'trace_hash': 1039601834597366923, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.051', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.927', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.375', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '64.334', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [2, 3, -6, 9, 10, -9, 0, 51, 18, 15, 62, -27, 6, 0, -30, 25, -40, 27, 122, 45, 0, 52, 16, -153, 50, 214, -54, 0, 352, -45, -66, -309, -186, 186, 0, 81, -188, 224, -18, 255, -16, 0, -396, 156, 90, -960, 188, -75, 0, 75, 120, 642, 982, -81, 310, 0, -366, 774, -516, -135, 880, 680, 0, -479, 30, -156, -356, 558, -48, 0, 310, 459, -326, 1358, -150, 672, 0, -642, 1832, 125, 162, 2190, 680, 0, -200, 1456, -1056, 1540, -796, 135, 0, -2880, 198, -2588, 610, 927, 670, 0, 558, 225, -1552, -558, -96, 358, 0, 2662, 1052, -243, 2048, 260, 564, 0, -1690, -672, 80, 2322, 54, -2332, 0, -765, -658, 3042, 48, 2040, 250, 0, 1112, -1629, 1188, 1070, -832, -468, 0, -5208, -270, -774, -934, 2880, 2130, 0, -564, 2228, -224, 225, 1760, 290, 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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[0.061067660764707515, 0.0], [-0.9772352938491401, 0.0], [-0.38213137221371274, 0.0], [-0.20334572596979997, 0.0], [0.18993016825783096, 0.0], [0.0, 0.0], [-0.6375349171383128, 0.0], [-0.480199579948584, 0.0], [-0.14292834892638553, 0.0], [-0.2762741212695272, 0.0], [-1.975125508356669, 0.0], [-0.0014655529594361813, 0.0], [0.0, 0.0], [1.133390825139534, 0.0], [0.5947471936184174, 0.0], [0.494026249952187, 0.0], [0.2825257415012318, 0.0], [-0.07931771612892935, 0.0], [0.4399287250858787, 0.0], [0.0, 0.0], [1.932013527816581, 0.0], [-0.1586747882732982, 0.0], [0.61179239174407, 0.0], [-0.49444851618800784, 0.0], [-0.5214593911544574, 0.0], [-0.7455148313677966, 0.0], [0.0, 0.0], [-0.14561900458899335, 0.0], [-0.1970891277989731, 0.0], [-0.5793488604711196, 0.0], [-0.16941413092810437, 0.0], [-0.9148733312380133, 0.0], [-0.7452874184289031, 0.0], [0.0, 0.0], [-0.44176867776541484, 0.0], [0.05034195715894008, 0.0], [0.3172163813698257, 0.0], [-0.3449915430922451, 0.0], 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-0.367663730046638, -0.4354262192947298, -0.0908687040975492, -0.18526200554116007, -0.25257807176513836, -0.22127055236446655, -0.16607331008276996, -0.2660334522610595, -0.2866416209674967, -0.1330388874934788, -0.2901139041326586, -0.1838814325307068, -0.13922851327015043, -0.2233658870206133, -0.20631271397998915, -0.29089310599726026, -0.10124466683828204, -0.2521069599234548, -0.10866133631873147, -0.2845846510478647, -0.2950651365948865, -0.1252733513072714, -0.21384102577745082, -0.2269863803681156, -0.31509773285060044, -0.29313636910080554, -0.18256968164913914, -0.0614517054160279, -0.3347119362871007, -0.15643984414643314, -0.13011838418683525, -0.4067631785141724, -0.26251556094133166, -0.23669204980474914, -0.1457068701801826, -0.27019419455254917, -0.2731666622937607, -0.06200783670664608, -0.30179741486660416, -0.1866785532331941, -0.12278271818422169, -0.3734807270094559, -0.29092090532939546, -0.4196418748038021, -0.11763441080324935, -0.2935237644795893, 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-0.3128157040231913, -0.3038765376071129, -0.2941275407655887, -0.13976427668891617, -0.35321852612078813, -0.1459474598226108, -0.11537418304410514, -0.4165587465578379, -0.23486302723677444, -0.2613835802450602, -0.2019446573601459, -0.041616866822402634, -0.28544716602869, -0.28218175652521055, -0.35687298227219866, -0.3091231208221934, -0.2007917034417035, -0.07286876462078157], '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': -2.7015621187164243, 'hecke_orbit': 17, 'hecke_orbit_code': 72057594105037535, 'label': '735.4.a.q.1.1', 'level': 735, 'weight': 4}
• 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': [11, 10, 7, 13, 9, 11, 13, 8], 'Nk2': 11760, 'analytic_conductor': 43.36640385421935, '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': [735, 1, [491, 442, 346], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 320, 'dim': 82, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 11, 13], 'hecke_orbit_code': 67109599, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 3, 3, 4, 4, 4, 4, 5, 5, 5, 5, 8, 8], 'label': '735.4.a', 'level': 735, '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, 7], 'level_radical': 105, 'mf_dim': 352, 'mf_new_dim': 82, 'num_forms': 29, 'plus_dim': 48, 'prim_orbit_index': 1, 'relative_dim': 82, 'sturm_bound': 448, 'trace_bound': 11, 'trace_display': [-4, 0, 0, 0], 'traces': [82, -4, 0, 354, 0, -6, 0, 36, 738, -50, 52, 24, -64, 0, 30, 1338, 24, -36, 248, 40, 0, 196, 368, -342, 2050, -84, 0, 0, -312, 60, -200, 1124, -36, 780, 0, 3186, 1152, 1040, 1020, -450, -372, 0, 1512, 1468, 0, 1480, -504, 912, 0, -100, -780, 296, -1184, -54, -740, 0, -528, 244, 180, -90, 988, 384, 0, 7234, 580, -996, -400, 2936, 1152, 0, 152, 324, -2124, 140, 0, 3936, 0, 3984, -4768, 1200, 6642, 1984, -3368, 0, 780, 12208, -1164, 9148, 2036, -450, 0, 8872, -2304, 288, -520, -2262, 3196, 0, 468, 8850, 40, -1536, -2940, -3140, 0, 5964, -5544, 216, -2404, 2940, 204, 0, -1888, -2712, -2200, 5712, -576, -8860, 0, 1980, 6562, -3720, 1776, 1968, 0, 0, -4236, 13020, 3216, -3160, 1228, 372, 0, -592, 270, 9580, -3680, 2544, 2656, 0, -5112, -16096, -2952, 12042, 500, 11984, 0, 23424, 3984, -150, 17680, 2624, 216, 0, 3320, 8892, 4128, -19928, -108, -8850, 0, -324, 17528, -13156, 420, -3872, 6016, 0, 1198, 7840, 2232, 9448, 13632, 3120, 0, -18620, 612, -14072, 3876, 360, 13596, 0, 7560, 20504, -1060, 7560, 456, -27016, 0, 13320, -14968, 15528, -17404, -16648, -1680, 0, 12800, 1764, 8064, 900, -4920, 7324, 0, 10380, 5760, -8580, 3312, 14952, 1440, 0, -16464, -14144, -3096, -4736, 4520, -3078, 0, -64048, -11328, -2860, 8616, 1704, -20956, 0, 18450, -18676, -23104, -21960, -1820, -12160, 0, -17668, 5624, -756, 1200, -11004, 3576, 0, -7320, 270, 4036, -69788, 0, 12052, 0, -13284, -31864, 15536, -1728, -1250, 26332, 0, 7328, -13572, -5520, 4954, -3904, -720, 0, -8340, -2808, 28492, -480, 14604, 5140, 0, -6312, -80096, 11416, 540, -22272, -10680, 0, -2100, 1300, 15432, 3824, -18152, -1800, 0, 15940, -1128, -232, 17600, -7680, -12584, 0, 10116, 11734, 15000, -33120, -20372, -18432, 0, 7980, -91812, -324, 3316, 4512, 600, 0, -8824, -180, -16048, -8360, 7020, 16912, 0, -21468, -2560, 2104, 24240, -2796, 892, 0, -95944, -2928, -37128, -19032, 16600, 1920, 0, -49216, 28674, -1600, -91136, -22680, 41024, 0, 2940, 22224, 9448, 10368, 16440, 240, 0, 33172, 12740, 684, -13180, 15488, 9360, 0, 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0, 25128, 27144, 1000, -5376, 9836, 36984, 0, 22420, -137344, -10368, -109820, 3432, 6540, 0, 67508, -4752, -25276, 64580, 28416, 35280, 0, -1452, -16160, -35324, 2196, 3992, -35732, 0, -20752, 4992, -26460, 63082, 29800, 1620, 0, 34272, -5388, -11560, -58072, -46692, 4860, 0, -810, 24476, -1272, -39600, 102988, 22200, 0, 27360, -249784, 8892, 4900, -26928, -60048, 0, 120612, 4920, 21064, 72944, 3456, 18784, 0, -16296, 87264, 71120, -122856, -24660, -50752, 0, -123592, 142724, 19920, 16472, 92968, 45624, 0, 9200, 65106, 6220, 65708, 66744, 7780, 0, -85380, 78568, -82912, 5220, 30404, 66856, 0, 90888, 1540, 7860, -58408, -6848, -8964, 0, 105072, 170352, -86736, -14672, -8550, -5164, 0, -3600, -10416, -17360, -33144, -26516, 73296, 0, -53740, -15960, 26424, 109160, -98840, -8700, 0, 114712, -16284, -1248, -27560, 10368, -82504, 0, 133908, 51250, -104400, 22560, -25160, -55640, 0, -145688, -194608, -3984, -33932, 6220, -34788, 0, -6368, 1368, 13150, 237052, -100776, -9208, 0, 720, 250688, -45560, 2916, 41072, -2100, 0, 10776, 192032, -6540, 46580, -62196, -19116, 0, 20324, 13980, 35308, 10000, 54384, -12928, 0, 1260, -193264, -10496, 29580, -40960, -34344, 0, 138020, 210528, 0, 160966, 87520, 40872, 0, 228960, -15528, 81584, 114136, 35424, 10780, 0, -57048, 28960, 110904, -65280, 133800, 162672, 0, 310344, -33440, 28080, 77648, 11064, -9804, 0, 134216, 35856, -60624, 104052, -24960, 39676, 0, 8892, 103212, 15360, -42912, -145976, -50464, 0, -40560, 210100, 6696, 159160, -113616, 10800, 0, 15572, -152448, -3996, -7800, -2238, -33220, 0, 59778, 192540, 1168, 202680, 54648, 11948, 0, -128664, 147856, 17856, 10912, 67500, 33216, 0, -332728, 54096, -10340, 66324, -30312, 70200, 0, 1500, 108224, -102696, -41124, 73008, 43760, 0, 74264, 156056, -61392, 157840, -65132, -35412, 0, 28888, 7020, 75328, -97368, 62304, -9756, 0, 147948, -38188, 26416, 109872, -5000, 18280, 0, 159980, 44920, 37320, 71920, 364192, -10476, 0, 55620, -46164, -48168, -225256, 58128, -48680, 0, 82332, -134272, -37436, 24720, -19848, -73024, 0, 18560, 28100, 18324, 248064, -131896, 43416, 0, 33088, 3084, 40700, 81516, -4050, 127120, 0, 5664, -42896, -51840, 101124, -61392, -82880, 0, -5960, 199912, 58680, -158876, -162660, -900, 0, -145648, 79848, 18700, -63160, 25788, 71528, 0, -61104, 76920, 49456, -20736, 5340, 51552, 0, 150990, -391464, 744, -76288, 105600, 2592, 0, -7744, -142968, 19500, 76888, -219360, -57000, 0, -4680, -70368, -114584, -62760, 90096, -29480, 0, 16944, 114464, -20358, -22540, 52480, 1344, 0, -196656, 13020, -58160, -793768, 28764, 149840, 0, -153936, -53952, 33464, -85212, -56060, -108492, 0, 10016, 97360, 7980, -94456, 199136, -11256, 0, -50420, 4212, 59508, 59312, 130488, -2660, 0, -240, -370352, 210112, 79650, -163640, 28856, 0, 125948, -19080, -59760, -128520, -131568, 360, 0, -137072, -136008, 5904, 340680, -45060, -48436, 0, -13824, -478208, -113280, 51024, -194284, -49008, 0, 28800, -212716, -26460, -156676, -179964, -19080, 0, -88552, 22248, -208032, -41960, -28260, 18988, 0, 87168, -117200, 132448, 199272, -6736, -181212, 0, -110256, -287776, -32952, -201560, 26000, 54516, 0, 23760, 53676, 21160, -287768, -177480, -109944, 0, -60810, -104534, 103872, -49896, 34892, -5880, 0, -176988, -388572, -46608, 59860, -26244, 1944, 0, -334404, 25500, -96252, -146680, 54888, -112392, 0, -21636, 160884, 17560, -205500, -18860, 77712, 0, -463800, -93328, 26460, -86840, 438080, -14952, 0, 34080, -193848, 7648, -67472, 1836, -11250], 'weight': 4, '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: 48043297
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 72057594105037535, 'source_is_minimal': False, 'source_label': '735.4.a.q.1.1', 'source_level': 735, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 72057594105037535, 'target_is_minimal': False, 'target_label': '735.4.a.q.1.1', 'target_level': 735, 'twist_class_label': '105.4.a.g.1.1', 'twist_class_level': 105, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 48043298
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 72057594105037535, 'source_is_minimal': False, 'source_label': '735.4.a.q.1.1', 'source_level': 735, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 94575592241891485, 'target_is_minimal': False, 'target_label': '2205.4.a.v.1.2', 'target_level': 2205, 'twist_class_label': '105.4.a.g.1.1', 'twist_class_level': 105, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48043299
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 72057594105037535, 'source_is_minimal': False, 'source_label': '735.4.a.q.1.1', 'source_level': 735, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597831331945, 'target_is_minimal': True, 'target_label': '105.4.a.g.1.1', 'target_level': 105, 'twist_class_label': '105.4.a.g.1.1', 'twist_class_level': 105, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 4}
  • id: 48043300
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 72057594105037535, 'source_is_minimal': False, 'source_label': '735.4.a.q.1.1', 'source_level': 735, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27021597831332155, 'target_is_minimal': False, 'target_label': '315.4.a.g.1.2', 'target_level': 315, 'twist_class_label': '105.4.a.g.1.1', 'twist_class_level': 105, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 4}
  • id: 48043301
    {'conductor': 28, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 72057594105037535, 'source_is_minimal': False, 'source_label': '735.4.a.q.1.1', 'source_level': 735, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 108086391124002448, 'target_is_minimal': False, 'target_label': '1680.4.a.y.1.1', 'target_level': 1680, 'twist_class_label': '105.4.a.g.1.1', 'twist_class_level': 105, 'twisting_char_label': '28.27', 'twisting_conrey_index': 27, 'weight': 4}
  • id: 48043302
    {'conductor': 35, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 72057594105037535, 'source_is_minimal': False, 'source_label': '735.4.a.q.1.1', 'source_level': 735, 'target_conrey_index': 274, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 40532602871874061, 'target_is_minimal': False, 'target_label': '525.4.d.j.274.3', 'target_level': 525, 'twist_class_label': '105.4.a.g.1.1', 'twist_class_level': 105, 'twisting_char_label': '35.13', 'twisting_conrey_index': 13, 'weight': 4}
  • id: 48043303
    {'conductor': 35, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 72057594105037535, 'source_is_minimal': False, 'source_label': '735.4.a.q.1.1', 'source_level': 735, 'target_conrey_index': 274, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 40532602871874061, 'target_is_minimal': False, 'target_label': '525.4.d.j.274.2', 'target_level': 525, 'twist_class_label': '105.4.a.g.1.1', 'twist_class_level': 105, 'twisting_char_label': '35.27', 'twisting_conrey_index': 27, 'weight': 4}
  • id: 48043304
    {'conductor': 35, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 72057594105037535, 'source_is_minimal': False, 'source_label': '735.4.a.q.1.1', 'source_level': 735, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 36028797086073357, 'target_is_minimal': False, 'target_label': '525.4.a.i.1.2', 'target_level': 525, 'twist_class_label': '105.4.a.g.1.1', 'twist_class_level': 105, 'twisting_char_label': '35.34', 'twisting_conrey_index': 34, 'weight': 4}
  • id: 48043305
    {'conductor': 105, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 72057594105037535, 'source_is_minimal': False, 'source_label': '735.4.a.q.1.1', 'source_level': 735, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 108086391124002343, 'target_is_minimal': False, 'target_label': '1575.4.a.y.1.1', 'target_level': 1575, 'twist_class_label': '105.4.a.g.1.1', 'twist_class_level': 105, 'twisting_char_label': '105.104', 'twisting_conrey_index': 104, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1267025
    {'charpoly_factorization': [[[-8, -3, 1], 1]], 'hecke_orbit_code': 72057594105037535, 'p': 2}
  • id: 1267026
    {'charpoly_factorization': [[[3, 1], 2]], 'hecke_orbit_code': 72057594105037535, 'p': 3}
  • id: 1267027
    {'charpoly_factorization': [[[-5, 1], 2]], 'hecke_orbit_code': 72057594105037535, 'p': 5}
  • id: 1267028
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 72057594105037535, 'p': 7}
  • id: 1267029
    {'charpoly_factorization': [[[920, -62, 1], 1]], 'hecke_orbit_code': 72057594105037535, 'p': 11}
  • id: 1267030
    {'charpoly_factorization': [[[-1016, -6, 1], 1]], 'hecke_orbit_code': 72057594105037535, 'p': 13}
  • id: 1267031
    {'charpoly_factorization': [[[-1076, 40, 1], 1]], 'hecke_orbit_code': 72057594105037535, 'p': 17}
  • id: 1267032
    {'charpoly_factorization': [[[3680, -122, 1], 1]], 'hecke_orbit_code': 72057594105037535, 'p': 19}
  • id: 1267033
    {'charpoly_factorization': [[[-23552, -16, 1], 1]], 'hecke_orbit_code': 72057594105037535, 'p': 23}
  • id: 1267034
    {'charpoly_factorization': [[[29500, -352, 1], 1]], 'hecke_orbit_code': 72057594105037535, 'p': 29}
  • id: 1267035
    {'charpoly_factorization': [[[-13712, 66, 1], 1]], 'hecke_orbit_code': 72057594105037535, 'p': 31}
  • id: 1267036
    {'charpoly_factorization': [[[-56764, 188, 1], 1]], 'hecke_orbit_code': 72057594105037535, 'p': 37}
  • id: 1267037
    {'charpoly_factorization': [[[-119492, 16, 1], 1]], 'hecke_orbit_code': 72057594105037535, 'p': 41}
  • id: 1267038
    {'charpoly_factorization': [[[-63296, 396, 1], 1]], 'hecke_orbit_code': 72057594105037535, 'p': 43}
  • id: 1267039
    {'charpoly_factorization': [[[-192064, -188, 1], 1]], 'hecke_orbit_code': 72057594105037535, 'p': 47}
  • id: 1267040
    {'charpoly_factorization': [[[206600, -982, 1], 1]], 'hecke_orbit_code': 72057594105037535, 'p': 53}
  • id: 1267041
    {'charpoly_factorization': [[[7360, 516, 1], 1]], 'hecke_orbit_code': 72057594105037535, 'p': 59}
  • id: 1267042
    {'charpoly_factorization': [[[121276, -880, 1], 1]], 'hecke_orbit_code': 72057594105037535, 'p': 61}
  • id: 1267043
    {'charpoly_factorization': [[[-501152, 356, 1], 1]], 'hecke_orbit_code': 72057594105037535, 'p': 67}
  • id: 1267044
    {'charpoly_factorization': [[[-51784, -310, 1], 1]], 'hecke_orbit_code': 72057594105037535, 'p': 71}
  • id: 1267045
    {'charpoly_factorization': [[[11768, 326, 1], 1]], 'hecke_orbit_code': 72057594105037535, 'p': 73}
  • id: 1267046
    {'charpoly_factorization': [[[838400, -1832, 1], 1]], 'hecke_orbit_code': 72057594105037535, 'p': 79}
  • id: 1267047
    {'charpoly_factorization': [[[-398704, -680, 1], 1]], 'hecke_orbit_code': 72057594105037535, 'p': 83}
  • id: 1267048
    {'charpoly_factorization': [[[-998780, 796, 1], 1]], 'hecke_orbit_code': 72057594105037535, 'p': 89}
  • id: 1267049
    {'charpoly_factorization': [[[-679936, -670, 1], 1]], 'hecke_orbit_code': 72057594105037535, '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': 17, 'label': '735.4.a.q', 'level': 735, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 61897015
    {'hecke_orbit_code': 72057594105037535, 'n': 1, 'trace_an': 2}
  • id: 61897016
    {'hecke_orbit_code': 72057594105037535, 'n': 2, 'trace_an': 3}
  • id: 61897017
    {'hecke_orbit_code': 72057594105037535, 'n': 3, 'trace_an': -6}
  • id: 61897018
    {'hecke_orbit_code': 72057594105037535, 'n': 4, 'trace_an': 9}
  • id: 61897019
    {'hecke_orbit_code': 72057594105037535, 'n': 5, 'trace_an': 10}
  • id: 61897020
    {'hecke_orbit_code': 72057594105037535, 'n': 6, 'trace_an': -9}
  • id: 61897021
    {'hecke_orbit_code': 72057594105037535, 'n': 7, 'trace_an': 0}
  • id: 61897022
    {'hecke_orbit_code': 72057594105037535, 'n': 8, 'trace_an': 51}
  • id: 61897023
    {'hecke_orbit_code': 72057594105037535, 'n': 9, 'trace_an': 18}
  • id: 61897024
    {'hecke_orbit_code': 72057594105037535, 'n': 10, 'trace_an': 15}
  • id: 61897025
    {'hecke_orbit_code': 72057594105037535, 'n': 11, 'trace_an': 62}
  • id: 61897026
    {'hecke_orbit_code': 72057594105037535, 'n': 12, 'trace_an': -27}
  • id: 61897027
    {'hecke_orbit_code': 72057594105037535, 'n': 13, 'trace_an': 6}
  • id: 61897028
    {'hecke_orbit_code': 72057594105037535, 'n': 14, 'trace_an': 0}
  • id: 61897029
    {'hecke_orbit_code': 72057594105037535, 'n': 15, 'trace_an': -30}
  • id: 61897030
    {'hecke_orbit_code': 72057594105037535, 'n': 16, 'trace_an': 25}
  • id: 61897031
    {'hecke_orbit_code': 72057594105037535, 'n': 17, 'trace_an': -40}
  • id: 61897032
    {'hecke_orbit_code': 72057594105037535, 'n': 18, 'trace_an': 27}
  • id: 61897033
    {'hecke_orbit_code': 72057594105037535, 'n': 19, 'trace_an': 122}
  • id: 61897034
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  • id: 61897035
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  • id: 61897037
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  • id: 61897038
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  • id: 61897039
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  • id: 61897040
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  • id: 61897041
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  • id: 61897042
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  • id: 61897043
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  • id: 61897044
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  • id: 61897045
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  • id: 61897046
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  • id: 61897047
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  • id: 61897048
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  • id: 61897049
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  • id: 61897050
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  • id: 61897051
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  • id: 61897060
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  • id: 61897061
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  • id: 61897086
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  • id: 61897119
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  • id: 61897131
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  • id: 61897132
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  • id: 61897136
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  • id: 61897140
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