Embedded newform data - 98.10.c.e.67.1

Formats: - HTML - YAML - JSON - 2025-11-08T03:27:51.425502

• 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': 9800, 'analytic_conductor': 50.47351194405957, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 7, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 3, 'char_parity': 1, 'char_values': [98, 3, [3], [2]], 'cm_discs': [], 'conrey_index': 67, 'dim': 2, 'field_disc': -3, 'field_disc_factorization': [[-1, 1], [3, 1]], 'field_poly': [1, -1, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 6, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [36, 6, 1]]], 'hecke_orbit': 5, 'hecke_orbit_code': 18014536116207714, 'hecke_ring_generator_nbound': 9, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 3, 1, 3, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '98.10.c.e', 'level': 98, '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, 7], 'level_radical': 14, 'minimal_twist': '14.10.a.a', 'nf_label': '2.0.3.1', 'prim_orbit_index': 3, 'qexp_display': 'q+2^{4}\\zeta_{6}q^{2}+(-6+6\\zeta_{6})q^{3}+(-2^{8}+\\cdots)q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '9.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '98.10.c', 'trace_display': [16, -6, 560, 0], 'trace_hash': 1663195356640953476, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.942', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.255', 'prec': 17}, {'__RealLiteral__': 0, 'data': '11.544', 'prec': 20}, {'__RealLiteral__': 0, 'data': '4.759', 'prec': 17}, {'__RealLiteral__': 0, 'data': '103.719', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [2, 16, -6, -256, 560, -192, 0, -8192, 19647, -8960, 54152, -1536, 226344, 0, -6720, -65536, 6262, -314352, 257078, -286720, 0, 1732864, 266000, 24576, 1639525, 1810752, -471960, 0, 3149428, -53760, -4637484, 1048576, 324912, 200384, 0, -10059264, 11946238, -4113248, -679032, -2293760, -43818252, 0, 55041184, 13862912, -11002320, -4256000, 52927836, 786432, 0, 52464800, 37572, -28972032, -16221222, -3775680, 60650240, 0, -3084936, 25195424, -140509618, 860160, -202963560, -148399488, 0, 33554432, 63376320, -5198592, -153734572, 1603072, -3192000, 0, 559311872, -80474112, -404022830, -191139808, 9837150, -131623936, 0, -21729024, 130689816, 36700160, -385296021, -350546016, -840268028, 0, 7013440, 440329472, -9448284, -221806592, -469542390, -352074240, 0, -136192000, -27824904, -846845376, -143963680, 6291456, 1745003380, 0, 2127848688, 419718400, 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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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[-0.18643845889403382, 0.32292088328930824], [-0.20947536973022404, 0.3628219833070237], [0.002567468217503671, 0.004446985399534659], [-0.9548389308339184, 0.0], [0.0, 0.0], [-0.29126259226753304, 0.0], [0.054020577839433315, 0.09356638547212788], [-0.0006850320350655893, 0.0011865102895459055], [0.5111065937634838, -0.8852625884818203], [-0.2516572936451813, -0.4358832186887344], [-1.1539590245274014, 0.0], [0.0, 0.0], [-0.6435599189978913, 0.0], [0.0024192977716388574, 0.0041903466591166685], [-0.541818525315208, 0.9384572143279842], [-0.024521778817878682, 0.042472966804532164], [0.016081717554590227, 0.027854351877522596], [-0.22857483729018585, 0.0], [0.0, 0.0], [-0.001098793742056233, 0.0], [0.3199149193558382, 0.5541088944236119], [0.01403958895473307, -0.024317281386980506], [-0.010330902079232103, 0.017893647289248957], [-0.15650022250646986, -0.2710663367770401], [1.435341951581013, 0.0], [0.0, 0.0], [0.8796530417081488, 0.0], [0.5788190885735968, 1.0025440698001797], [-0.30172443802060134, 0.5226020565368482], [0.03654312750417888, -0.06329455350470549], [-0.3833804594993398, -0.6640344344819588], [0.010928697769010605, 0.0], [0.0, 0.0], [-0.4087127821554955, 0.0], [0.027884496518548275, 0.04829736471360309], [-0.11259084566494287, 0.19501306515882713], [0.004062873932841407, -0.0070371040764285], [-0.19392056553543546, -0.3358802721398644], [-0.08406760598792413, 0.0], [0.0, 0.0], [-0.024155079965612145, 0.0], [-0.15849179838198785, -0.2745158473805657], [-0.48547302563667927, 0.8408639461069166], [-0.02762095933724021, 0.047840904925894025], [-0.11999801904056502, -0.20784266578587615], [0.37740878871545475, 0.0], [0.0, 0.0], [0.9680151220459604, 0.0], [-0.7270353591409313, -1.2592621809311788], [0.004036132811411483, -0.006990787095460502], [-0.9149912599285009, 1.5848113506776247], [0.13431258852016745, 0.23263622741302237], [0.04057732696198812, 0.0], [0.0, 0.0], [-0.540623566186887, 0.0], [-0.09965569309470237, -0.17260872370351543], [-0.2821124264200946, 0.48863305600614027], [-0.032518147319995076, 0.05632308332624119], [0.009859019473109888, 0.017076322640237267], [0.17479624783147632, 0.0], [0.0, 0.0], [-0.0021420944927171884, 0.0], [0.09329490944377773, 0.1615915232441605], [-0.40716676032771254, 0.7052335160408181], [0.06607100165880447, -0.11443833178001693], [-0.4281219312373659, -0.741528936737627], [-0.3312945946837322, 0.0], [0.0, 0.0], [-0.11133170256232323, 0.0], [0.04306995182889974, 0.07459934484719845], [-0.00017597145859006994, 0.0003047915069600039], [-0.1417658044533522, 0.24554557608908026], [-0.45700160136850815, -0.7915499927105947], [0.06399366180149338, 0.0], [0.0, 0.0], [0.4071688164038633, 0.0], [0.01972683982593347, 0.034167888851289956], [-0.2346085456498555, 0.406353920955392], [-0.17393996506852635, 0.30127285696544337], [0.027888957345961213, 0.04830509109332609], [-0.8846412661600538, 0.0], [0.0, 0.0], [1.0861355955084604, 0.0], [0.2786623223715833, 0.48265730050271966], [0.41080523828606086, -0.7115355447268967], [-0.009154366860473865, 0.015855828513465526], [-0.03171982555479653, -0.05494034946812923], [0.005316044617357821, 0.0], [0.0, 0.0], [-0.24867814443199504, 0.0], [0.12165391805440588, 0.21071076701005173], [-0.15769952475882235, 0.2731435892117464], [-0.5200266898605446, 0.9007126481303263], [0.07971679270982353, 0.13807353518985063], [-0.024281314537304075, 0.0], [0.0, 0.0], [-0.2431830883468217, 0.0], [0.010389198413190984, 0.01799461950156074], [0.14940669285161354, -0.25877998300983246], [0.3405639429610424, -0.5898740524345145], [-0.0447745950689787, -0.07755187354779403], [-0.26059308351693616, 0.0]], 'angles': [None, -0.4200701908622468, -0.051229095277276496, None, -0.32252913823574253, -0.15741003039381452, -0.41521959834343386, -0.04700532537112578, -0.06753504822611676, -0.2168606811948916, -0.4911233676707604, 0.004438538555233423, -0.35350046817535163, -0.14482210111597876, 0.06190395556003192, -0.43921351928771657, 0.2194706462290361, -0.3894715587902762, -0.49382300299335535, -0.1367492944367415, 0.23990028878693312, -0.05311133989396238, -0.3307457970904269, -0.1482442011688095, -0.16660454565624408, 0.18142382002689322, -0.03445990414771553, -0.09387583591778693, -0.32510931228443773, -0.1824313390689426, -0.31589150380563424, -0.06910996182107808, -0.30906798191922386, -0.09931054678060622, -0.44675893261830096, -0.4130610665717972, -0.2334007975673299, -0.3965137090621159, -0.10605855508131705, -0.061439404150020076, -0.24584401122284366, -0.22847809303285427, 0.0409785676898061, -0.48449458508589766, -0.26261195854712666, -0.4657351439131761, -0.16223181731224784, -0.3789405584298872, 0.16727648525454297, -0.046630052843556265, -0.01632222387504015, -0.23964184143995113, 0.24693728947852128, -0.256755980361249, -0.4814359223775336, 0.20675618524353395, -0.2627437881784865, -0.4978746054562533, -0.39507265443372463, -0.42621816717772676, -0.4206008869466265, -0.29905596741180884, 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-0.3312845346016547, -0.30214056526790967, -0.0315061676449351, -0.14595342763125707, -0.2566918590855298, -0.49734296780120807, -0.45378213856159166, -0.2935633905509691, -0.2588640772518795, -0.15887165254874236, -0.4444916014870041, -0.34929047596288043, 0.17037233838211294, -0.392798485787013], 'char_orbit_index': 3, 'conrey_index': 67, 'dual_conrey_index': 79, 'dual_embedding_index': 1, 'dual_embedding_m': 2, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.8660254037844386, 'embedding_root_real': 0.5, 'hecke_orbit': 5, 'hecke_orbit_code': 18014536116207714, 'label': '98.10.c.e.67.1', 'level': 98, 'weight': 10}
• 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': 9800, 'analytic_conductor': 50.47351194405957, 'char_conductor': 7, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 3, 'char_parity': 1, 'char_values': [98, 3, [3], [2]], 'conrey_index': 67, 'cusp_dim': 236, 'dim': 60, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 137606725730, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 6, 6, 8, 12], 'label': '98.10.c', 'level': 98, '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, 7], 'level_radical': 14, 'mf_dim': 268, 'mf_new_dim': 60, 'num_forms': 14, 'prim_orbit_index': 3, 'relative_dim': 30, 'sturm_bound': 140, 'trace_bound': 3, 'trace_display': [0, 162, 1818, 0], 'traces': [60, 0, 162, -7680, 1818, -9728, 0, 0, -210336, -5632, -40718, 41472, -233176, 0, -267380, -1966080, 285906, -42944, -842658, 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• 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: 44228211
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 67, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18014536116207714, 'source_is_minimal': False, 'source_label': '98.10.c.e.67.1', 'source_level': 98, 'target_conrey_index': 67, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014536116207714, 'target_is_minimal': False, 'target_label': '98.10.c.e.67.1', 'target_level': 98, 'twist_class_label': '14.10.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
  • id: 44228212
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 67, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18014536116207714, 'source_is_minimal': False, 'source_label': '98.10.c.e.67.1', 'source_level': 98, 'target_conrey_index': 79, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014536116207714, 'target_is_minimal': False, 'target_label': '98.10.c.e.79.1', 'target_level': 98, 'twist_class_label': '14.10.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 10}
  • id: 44228213
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 67, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18014536116207714, 'source_is_minimal': False, 'source_label': '98.10.c.e.67.1', 'source_level': 98, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 167772174, 'target_is_minimal': True, 'target_label': '14.10.a.a.1.1', 'target_level': 14, 'twist_class_label': '14.10.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 10}
  • id: 44228214
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 67, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18014536116207714, 'source_is_minimal': False, 'source_label': '98.10.c.e.67.1', 'source_level': 98, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 167772258, 'target_is_minimal': False, 'target_label': '98.10.a.a.1.1', 'target_level': 98, 'twist_class_label': '14.10.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 10}
  • id: 44228215
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 67, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18014536116207714, 'source_is_minimal': False, 'source_label': '98.10.c.e.67.1', 'source_level': 98, 'target_conrey_index': 79, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22518135743578210, 'target_is_minimal': False, 'target_label': '98.10.c.f.79.1', 'target_level': 98, 'twist_class_label': '14.10.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 10}
  • id: 44228216
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 67, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18014536116207714, 'source_is_minimal': False, 'source_label': '98.10.c.e.67.1', 'source_level': 98, 'target_conrey_index': 67, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22518135743578210, 'target_is_minimal': False, 'target_label': '98.10.c.f.67.1', 'target_level': 98, 'twist_class_label': '14.10.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 10}
  • id: 44228217
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 67, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18014536116207714, 'source_is_minimal': False, 'source_label': '98.10.c.e.67.1', 'source_level': 98, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398677254270, 'target_is_minimal': False, 'target_label': '126.10.a.e.1.1', 'target_level': 126, 'twist_class_label': '14.10.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '21.17', 'twisting_conrey_index': 17, 'weight': 10}
  • id: 44228218
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 67, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18014536116207714, 'source_is_minimal': False, 'source_label': '98.10.c.e.67.1', 'source_level': 98, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599795142768, 'target_is_minimal': False, 'target_label': '112.10.a.b.1.1', 'target_level': 112, 'twist_class_label': '14.10.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '28.3', 'twisting_conrey_index': 3, 'weight': 10}
  • id: 44228219
    {'conductor': 35, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 67, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18014536116207714, 'source_is_minimal': False, 'source_label': '98.10.c.e.67.1', 'source_level': 98, 'target_conrey_index': 99, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503737234096478, 'target_is_minimal': False, 'target_label': '350.10.c.b.99.2', 'target_level': 350, 'twist_class_label': '14.10.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '35.3', 'twisting_conrey_index': 3, 'weight': 10}
  • id: 44228220
    {'conductor': 35, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 67, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18014536116207714, 'source_is_minimal': False, 'source_label': '98.10.c.e.67.1', 'source_level': 98, 'target_conrey_index': 99, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503737234096478, 'target_is_minimal': False, 'target_label': '350.10.c.b.99.1', 'target_level': 350, 'twist_class_label': '14.10.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '35.17', 'twisting_conrey_index': 17, 'weight': 10}
  • id: 44228221
    {'conductor': 35, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 67, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 18014536116207714, 'source_is_minimal': False, 'source_label': '98.10.c.e.67.1', 'source_level': 98, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199422513502, 'target_is_minimal': False, 'target_label': '350.10.a.c.1.1', 'target_level': 350, 'twist_class_label': '14.10.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '35.24', 'twisting_conrey_index': 24, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 290975
    {'charpoly_factorization': [[[256, -16, 1], 1]], 'hecke_orbit_code': 18014536116207714, 'p': 2}
  • id: 290976
    {'charpoly_factorization': [[[36, 6, 1], 1]], 'hecke_orbit_code': 18014536116207714, 'p': 3}
  • id: 290977
    {'charpoly_factorization': [[[313600, -560, 1], 1]], 'hecke_orbit_code': 18014536116207714, 'p': 5}
  • id: 290978
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 18014536116207714, 'p': 7}
  • id: 290979
    {'charpoly_factorization': [[[2932439104, -54152, 1], 1]], 'hecke_orbit_code': 18014536116207714, 'p': 11}
  • id: 290980
    {'charpoly_factorization': [[[-113172, 1], 2]], 'hecke_orbit_code': 18014536116207714, 'p': 13}
  • id: 290981
    {'charpoly_factorization': [[[39212644, -6262, 1], 1]], 'hecke_orbit_code': 18014536116207714, 'p': 17}
  • id: 290982
    {'charpoly_factorization': [[[66089098084, -257078, 1], 1]], 'hecke_orbit_code': 18014536116207714, 'p': 19}
  • id: 290983
    {'charpoly_factorization': [[[70756000000, -266000, 1], 1]], 'hecke_orbit_code': 18014536116207714, 'p': 23}
  • id: 290984
    {'charpoly_factorization': [[[-1574714, 1], 2]], 'hecke_orbit_code': 18014536116207714, 'p': 29}
  • id: 290985
    {'charpoly_factorization': [[[21506257850256, 4637484, 1], 1]], 'hecke_orbit_code': 18014536116207714, 'p': 31}
  • id: 290986
    {'charpoly_factorization': [[[142712602352644, -11946238, 1], 1]], 'hecke_orbit_code': 18014536116207714, 'p': 37}
  • id: 290987
    {'charpoly_factorization': [[[21909126, 1], 2]], 'hecke_orbit_code': 18014536116207714, 'p': 41}
  • id: 290988
    {'charpoly_factorization': [[[-27520592, 1], 2]], 'hecke_orbit_code': 18014536116207714, 'p': 43}
  • id: 290989
    {'charpoly_factorization': [[[2801355823642896, -52927836, 1], 1]], 'hecke_orbit_code': 18014536116207714, 'p': 47}
  • id: 290990
    {'charpoly_factorization': [[[263128043173284, 16221222, 1], 1]], 'hecke_orbit_code': 18014536116207714, 'p': 53}
  • id: 290991
    {'charpoly_factorization': [[[19742952750505924, 140509618, 1], 1]], 'hecke_orbit_code': 18014536116207714, 'p': 59}
  • id: 290992
    {'charpoly_factorization': [[[41194206687873600, 202963560, 1], 1]], 'hecke_orbit_code': 18014536116207714, 'p': 61}
  • id: 290993
    {'charpoly_factorization': [[[23634318628023184, 153734572, 1], 1]], 'hecke_orbit_code': 18014536116207714, 'p': 67}
  • id: 290994
    {'charpoly_factorization': [[[-279655936, 1], 2]], 'hecke_orbit_code': 18014536116207714, 'p': 71}
  • id: 290995
    {'charpoly_factorization': [[[163234447161208900, 404022830, 1], 1]], 'hecke_orbit_code': 18014536116207714, 'p': 73}
  • id: 290996
    {'charpoly_factorization': [[[17079828006113856, -130689816, 1], 1]], 'hecke_orbit_code': 18014536116207714, 'p': 79}
  • id: 290997
    {'charpoly_factorization': [[[420134014, 1], 2]], 'hecke_orbit_code': 18014536116207714, 'p': 83}
  • id: 290998
    {'charpoly_factorization': [[[220470056006912100, 469542390, 1], 1]], 'hecke_orbit_code': 18014536116207714, 'p': 89}
  • id: 290999
    {'charpoly_factorization': [[[-872501690, 1], 2]], 'hecke_orbit_code': 18014536116207714, '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': 3, 'hecke_orbit': 5, 'label': '98.10.c.e', 'level': 98, 'portrait': 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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 40666969
    {'hecke_orbit_code': 18014536116207714, 'n': 1, 'trace_an': 2}
  • id: 40666970
    {'hecke_orbit_code': 18014536116207714, 'n': 2, 'trace_an': 16}
  • id: 40666971
    {'hecke_orbit_code': 18014536116207714, 'n': 3, 'trace_an': -6}
  • id: 40666972
    {'hecke_orbit_code': 18014536116207714, 'n': 4, 'trace_an': -256}
  • id: 40666973
    {'hecke_orbit_code': 18014536116207714, 'n': 5, 'trace_an': 560}
  • id: 40666974
    {'hecke_orbit_code': 18014536116207714, 'n': 6, 'trace_an': -192}
  • id: 40666975
    {'hecke_orbit_code': 18014536116207714, 'n': 7, 'trace_an': 0}
  • id: 40666976
    {'hecke_orbit_code': 18014536116207714, 'n': 8, 'trace_an': -8192}
  • id: 40666977
    {'hecke_orbit_code': 18014536116207714, 'n': 9, 'trace_an': 19647}
  • id: 40666978
    {'hecke_orbit_code': 18014536116207714, 'n': 10, 'trace_an': -8960}
  • id: 40666979
    {'hecke_orbit_code': 18014536116207714, 'n': 11, 'trace_an': 54152}
  • id: 40666980
    {'hecke_orbit_code': 18014536116207714, 'n': 12, 'trace_an': -1536}
  • id: 40666981
    {'hecke_orbit_code': 18014536116207714, 'n': 13, 'trace_an': 226344}
  • id: 40666982
    {'hecke_orbit_code': 18014536116207714, 'n': 14, 'trace_an': 0}
  • id: 40666983
    {'hecke_orbit_code': 18014536116207714, 'n': 15, 'trace_an': -6720}
  • id: 40666984
    {'hecke_orbit_code': 18014536116207714, 'n': 16, 'trace_an': -65536}
  • id: 40666985
    {'hecke_orbit_code': 18014536116207714, 'n': 17, 'trace_an': 6262}
  • id: 40666986
    {'hecke_orbit_code': 18014536116207714, 'n': 18, 'trace_an': -314352}
  • id: 40666987
    {'hecke_orbit_code': 18014536116207714, 'n': 19, 'trace_an': 257078}
  • id: 40666988
    {'hecke_orbit_code': 18014536116207714, 'n': 20, 'trace_an': -286720}
  • id: 40666989
    {'hecke_orbit_code': 18014536116207714, 'n': 21, 'trace_an': 0}
  • id: 40666990
    {'hecke_orbit_code': 18014536116207714, 'n': 22, 'trace_an': 1732864}
  • id: 40666991
    {'hecke_orbit_code': 18014536116207714, 'n': 23, 'trace_an': 266000}
  • id: 40666992
    {'hecke_orbit_code': 18014536116207714, 'n': 24, 'trace_an': 24576}
  • id: 40666993
    {'hecke_orbit_code': 18014536116207714, 'n': 25, 'trace_an': 1639525}
  • id: 40666994
    {'hecke_orbit_code': 18014536116207714, 'n': 26, 'trace_an': 1810752}
  • id: 40666995
    {'hecke_orbit_code': 18014536116207714, 'n': 27, 'trace_an': -471960}
  • id: 40666996
    {'hecke_orbit_code': 18014536116207714, 'n': 28, 'trace_an': 0}
  • id: 40666997
    {'hecke_orbit_code': 18014536116207714, 'n': 29, 'trace_an': 3149428}
  • id: 40666998
    {'hecke_orbit_code': 18014536116207714, 'n': 30, 'trace_an': -53760}
  • id: 40666999
    {'hecke_orbit_code': 18014536116207714, 'n': 31, 'trace_an': -4637484}
  • id: 40667000
    {'hecke_orbit_code': 18014536116207714, 'n': 32, 'trace_an': 1048576}
  • id: 40667001
    {'hecke_orbit_code': 18014536116207714, 'n': 33, 'trace_an': 324912}
  • id: 40667002
    {'hecke_orbit_code': 18014536116207714, 'n': 34, 'trace_an': 200384}
  • id: 40667003
    {'hecke_orbit_code': 18014536116207714, 'n': 35, 'trace_an': 0}
  • id: 40667004
    {'hecke_orbit_code': 18014536116207714, 'n': 36, 'trace_an': -10059264}
  • id: 40667005
    {'hecke_orbit_code': 18014536116207714, 'n': 37, 'trace_an': 11946238}
  • id: 40667006
    {'hecke_orbit_code': 18014536116207714, 'n': 38, 'trace_an': -4113248}
  • id: 40667007
    {'hecke_orbit_code': 18014536116207714, 'n': 39, 'trace_an': -679032}
  • id: 40667008
    {'hecke_orbit_code': 18014536116207714, 'n': 40, 'trace_an': -2293760}
  • id: 40667009
    {'hecke_orbit_code': 18014536116207714, 'n': 41, 'trace_an': -43818252}
  • id: 40667010
    {'hecke_orbit_code': 18014536116207714, 'n': 42, 'trace_an': 0}
  • id: 40667011
    {'hecke_orbit_code': 18014536116207714, 'n': 43, 'trace_an': 55041184}
  • id: 40667012
    {'hecke_orbit_code': 18014536116207714, 'n': 44, 'trace_an': 13862912}
  • id: 40667013
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  • id: 40667193
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  • id: 40667194
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  • id: 40667195
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  • id: 40667196
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  • id: 40667197
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  • id: 40667198
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  • id: 40667199
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  • id: 40667200
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  • id: 40667201
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  • id: 40667202
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  • id: 40667203
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  • id: 40667204
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  • id: 40667205
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  • id: 40667206
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  • id: 40667207
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  • id: 40667208
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  • id: 40667209
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  • id: 40667210
    {'hecke_orbit_code': 18014536116207714, 'n': 883, 'trace_an': 66794385395176}
  • id: 40667211
    {'hecke_orbit_code': 18014536116207714, 'n': 887, 'trace_an': -9619644405516}
  • id: 40667212
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  • id: 40667213
    {'hecke_orbit_code': 18014536116207714, 'n': 911, 'trace_an': -26757878684448}
  • id: 40667214
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  • id: 40667215
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  • id: 40667216
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  • id: 40667217
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  • id: 40667218
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  • id: 40667219
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  • id: 40667220
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  • id: 40667221
    {'hecke_orbit_code': 18014536116207714, 'n': 967, 'trace_an': -6054356355872}
  • id: 40667222
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  • id: 40667223
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  • id: 40667224
    {'hecke_orbit_code': 18014536116207714, 'n': 983, 'trace_an': 24052310333748}
  • id: 40667225
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  • id: 40667226
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