Embedded newform data - 10.12.a.d.1.1

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• 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': 1440, 'analytic_conductor': 7.683431805595888, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [5, -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': [10, 1, [7], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 1969, 'field_disc_factorization': [[11, 1], [179, 1]], 'field_poly': [-492, -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': [[3, [-105696, -604, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13510799083438090, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 20, 'hecke_ring_index_factorization': [[2, 2], [5, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '10.12.a.d', 'level': 10, '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': True, 'level_primes': [2, 5], 'level_radical': 10, 'minimal_twist': '10.12.a.d', 'nf_label': '2.2.1969.1', 'prim_orbit_index': 1, 'qexp_display': 'q+2^{5}q^{2}+(302-\\beta )q^{3}+2^{10}q^{4}+5^{5}q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '11.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '10.12.a', 'trace_display': [64, 604, 6250, 14092], 'trace_hash': 2054339313261331340, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.031', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.919', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.351', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '65.284', 'prec': 20}], 'trace_zratio': 0, 'traces': [2, 64, 604, 2048, 6250, 19328, 14092, 65536, 221914, 200000, 421584, 618496, 1730524, 450944, 1887500, 2097152, -6323628, 7101248, -28897400, 6400000, -65446816, 13490688, -45236076, 19791872, 19531250, 55376768, 197876440, 14430208, 58226220, 60400000, 41413384, 67108864, -366506832, -202356096, 44037500, 227239936, 377255452, -924716800, 1094415848, 204800000, -785271036, -2094298112, -1452987236, 431702016, 693481250, -1447554432, -1288127748, 633339904, 8481998946, 625000000, -3889762056, 1772056576, -30490836, 6332046080, 1317450000, 461766656, -5811319600, 1863239040, 8677102440, 1932800000, 1115498764, 1325228288, -40536764356, 2147483648, 5407887500, -11728218624, -12673769708, -6475395072, 1728802848, 1409200000, 13799832984, 7271677952, -17842079516, 12072174464, 5898437500, -29590937600, 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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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[-1.5682713031896554, 0.0], [-0.06696052200663921, 0.0], [-0.11009229494644045, 0.0], [0.34623306197393716, 0.0], [-0.8314619196218339, 0.0], [0.11230842240790767, 0.0], [-0.16170319920618115, 0.0], [-0.08373059810632286, 0.0], [0.32823850511115066, 0.0], [-0.17889620843108284, 0.0], [-1.032722179352342, 0.0], [-0.07409565853651251, 0.0], [-0.2446683657534319, 0.0], [-0.16142299961553613, 0.0], [1.1423914144870286, 0.0], [1.5040688193852092, 0.0], [0.17215248653716442, 0.0], [-0.04060517328167854, 0.0], [0.7392252699908127, 0.0], [-0.33517163973920533, 0.0], [-0.1488160460068975, 0.0], [0.16059182556263968, 0.0], [0.7163455836483504, 0.0], [-1.6955439179182905, 0.0], [-0.33621126182056155, 0.0], [-0.013120325242839471, 0.0], [-0.10363167307334654, 0.0], [-0.25468523106818997, 0.0], [0.49698402537166875, 0.0], [-0.015267882015185924, 0.0], [2.0318825322822778, 0.0], [0.13509813377752494, 0.0], [0.9661904236518932, 0.0], [0.12544843373951994, 0.0], [1.6407675759942186, 0.0], [-0.2697847103506334, 0.0], [0.024618548077258346, 0.0], [0.17012311322466023, 0.0], [0.0719533510560821, 0.0], [0.023819022501915754, 0.0], [-0.1293445013225049, 0.0], [-0.08865994310182627, 0.0], [0.21358065417148175, 0.0], [0.17251800703609835, 0.0], [0.19409294591352122, 0.0], [0.39503855213498096, 0.0], [-0.23250934416740565, 0.0], [-0.13182348655028192, 0.0], [-0.6393607753295188, 0.0], [-0.8633586046679855, 0.0], [-1.3725220559776077, 0.0], [0.10046008577903512, 0.0], [0.7943660551364675, 0.0], [0.13832865728698232, 0.0], [-0.5435125066350776, 0.0], [0.5736883159238111, 0.0], [0.22010602264932835, 0.0], [0.3160050054544449, 0.0], [-1.1471508833894668, 0.0], [-0.07142030106220386, 0.0], [-0.20038928554249216, 0.0], [-0.2046860166205907, 0.0], [0.39560206026984795, 0.0], [0.46968455684975446, 0.0], [0.11233697840698836, 0.0], [-0.4654942879625781, 0.0], [0.02564756667855714, 0.0], [0.7031481765222974, 0.0], [0.5801544077860814, 0.0], [0.12300142879748414, 0.0], 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[0.03162277660168379, 0.0]], 'angles': [None, -0.27692597730153423, None, -0.04380483597941498, -0.12248577894026061, -0.23685048958598945, -0.26266478822719247, -0.40344544375225955, -0.3620455233345616, -0.19344733691423815, -0.2648142703648907, -0.23978815207551113, -0.23646698380470535, -0.27391994517723783, -0.3332028124059418, -0.3672201945659529, -0.19409805142576592, -0.38041885510517226, -0.382866305049252, -0.19473495006537456, -0.23076235358483624, -0.30852441766390537, -0.2802940173407216, -0.21573908993609847, -0.3614161286426184, -0.10911713322041737, -0.3030490967902986, -0.18220764194466513, -0.2866561594864051, -0.15565613418622898, -0.1615014891601259, -0.29816045615653985, -0.17379413208854766, -0.155792164616527, -0.15414986742354694, -0.20536259239028612, -0.2993695137774544, -0.2615032780426719, -0.2612266176760984, -0.2789326649495858, -0.24561880659031776, -0.2918535946863619, -0.22483122169390402, -0.09437208427991316, -0.21134047309816845, -0.4208756274561207, 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-0.3666330671060571, -0.22519344460101118, -0.2369417864563504, -0.2420265336237058, -0.2739355852829738, -0.4372881369017617, -0.20816344101404466, -0.4426776901840322, -0.12674186922666641, -0.25905793961780615, -0.3934466864621043, -0.31823710261160715, -0.189745195919668, -0.19169993543414027, -0.27688248517706926, -0.21003251334219256, -0.30178776997862805, -0.18499390658154702, -0.26597327494333123, -0.042945929521519134, -0.2542642047868235, -0.2862540509859151, -0.30867607368969163, -0.39109589165320663, -0.36682495842615065, -0.13461370353021013, -0.4152005212427518, -0.1919992188816123, -0.3071046898973113, -0.11846645183596807], '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': 22.68670773233379, 'hecke_orbit': 4, 'hecke_orbit_code': 13510799083438090, 'label': '10.12.a.d.1.1', 'level': 10, 'weight': 12}
• 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': [1, 1, 1, 2], 'Nk2': 1440, 'analytic_conductor': 7.683431805595888, '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': [10, 1, [7], [1]], 'conrey_index': 1, 'cusp_dim': 15, 'dim': 5, 'eis_dim': 4, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 201326602, 'hecke_orbit_dims': [1, 1, 1, 2], 'label': '10.12.a', 'level': 10, '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': True, 'level_primes': [2, 5], 'level_radical': 10, 'mf_dim': 19, 'mf_new_dim': 5, 'num_forms': 4, 'plus_dim': 3, 'prim_orbit_index': 1, 'relative_dim': 5, 'sturm_bound': 18, 'trace_bound': 3, 'trace_display': [32, 1012, 3125, -45224], 'traces': [5, 32, 1012, 5120, 3125, -14080, -45224, 32768, 336385, 100000, 672660, 1036288, -2191418, -2176640, 537500, 5242880, 12748506, 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'weight': 12, '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: 42988898
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510799083438090, 'source_is_minimal': True, 'source_label': '10.12.a.d.1.1', 'source_level': 10, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510799083438090, 'target_is_minimal': True, 'target_label': '10.12.a.d.1.1', 'target_level': 10, 'twist_class_label': '10.12.a.d.1.1', 'twist_class_level': 10, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 12}
  • id: 42988899
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510799083438090, 'source_is_minimal': True, 'source_label': '10.12.a.d.1.1', 'source_level': 10, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 49539596102402138, 'target_is_minimal': False, 'target_label': '90.12.a.l.1.2', 'target_level': 90, 'twist_class_label': '10.12.a.d.1.1', 'twist_class_level': 10, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 12}
  • id: 42988900
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510799083438090, 'source_is_minimal': True, 'source_label': '10.12.a.d.1.1', 'source_level': 10, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27021597965549648, 'target_is_minimal': False, 'target_label': '80.12.a.g.1.2', 'target_level': 80, 'twist_class_label': '10.12.a.d.1.1', 'twist_class_level': 10, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 12}
  • id: 42988901
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510799083438090, 'source_is_minimal': True, 'source_label': '10.12.a.d.1.1', 'source_level': 10, 'target_conrey_index': 49, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 22518067057655858, 'target_is_minimal': False, 'target_label': '50.12.b.f.49.4', 'target_level': 50, 'twist_class_label': '10.12.a.d.1.1', 'twist_class_level': 10, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 12}
  • id: 42988902
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510799083438090, 'source_is_minimal': True, 'source_label': '10.12.a.d.1.1', 'source_level': 10, 'target_conrey_index': 49, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22518067057655858, 'target_is_minimal': False, 'target_label': '50.12.b.f.49.1', 'target_level': 50, 'twist_class_label': '10.12.a.d.1.1', 'twist_class_level': 10, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 12}
  • id: 42988903
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510799083438090, 'source_is_minimal': True, 'source_label': '10.12.a.d.1.1', 'source_level': 10, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 22517998338179122, 'target_is_minimal': False, 'target_label': '50.12.a.f.1.2', 'target_level': 50, 'twist_class_label': '10.12.a.d.1.1', 'twist_class_level': 10, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 12}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 44175
    {'charpoly_factorization': [[[-32, 1], 2]], 'hecke_orbit_code': 13510799083438090, 'p': 2}
  • id: 44176
    {'charpoly_factorization': [[[-105696, -604, 1], 1]], 'hecke_orbit_code': 13510799083438090, 'p': 3}
  • id: 44177
    {'charpoly_factorization': [[[-3125, 1], 2]], 'hecke_orbit_code': 13510799083438090, 'p': 5}
  • id: 44178
    {'charpoly_factorization': [[[-6119033984, -14092, 1], 1]], 'hecke_orbit_code': 13510799083438090, 'p': 7}
  • id: 44179
    {'charpoly_factorization': [[[-265195133136, -421584, 1], 1]], 'hecke_orbit_code': 13510799083438090, 'p': 11}
  • id: 44180
    {'charpoly_factorization': [[[333553271044, -1730524, 1], 1]], 'hecke_orbit_code': 13510799083438090, 'p': 13}
  • id: 44181
    {'charpoly_factorization': [[[5019281400996, 6323628, 1], 1]], 'hecke_orbit_code': 13510799083438090, 'p': 17}
  • id: 44182
    {'charpoly_factorization': [[[197971028059600, 28897400, 1], 1]], 'hecke_orbit_code': 13510799083438090, 'p': 19}
  • id: 44183
    {'charpoly_factorization': [[[210845436908544, 45236076, 1], 1]], 'hecke_orbit_code': 13510799083438090, 'p': 23}
  • id: 44184
    {'charpoly_factorization': [[[-1431748799689500, -58226220, 1], 1]], 'hecke_orbit_code': 13510799083438090, 'p': 29}
  • id: 44185
    {'charpoly_factorization': [[[-2105156208388736, -41413384, 1], 1]], 'hecke_orbit_code': 13510799083438090, 'p': 31}
  • id: 44186
    {'charpoly_factorization': [[[17480309948609476, -377255452, 1], 1]], 'hecke_orbit_code': 13510799083438090, 'p': 37}
  • id: 44187
    {'charpoly_factorization': [[[-114826671650505276, 785271036, 1], 1]], 'hecke_orbit_code': 13510799083438090, 'p': 41}
  • id: 44188
    {'charpoly_factorization': [[[336108509700485824, 1452987236, 1], 1]], 'hecke_orbit_code': 13510799083438090, 'p': 43}
  • id: 44189
    {'charpoly_factorization': [[[-442680671101528224, 1288127748, 1], 1]], 'hecke_orbit_code': 13510799083438090, 'p': 47}
  • id: 44190
    {'charpoly_factorization': [[[-16603893556543158876, 30490836, 1], 1]], 'hecke_orbit_code': 13510799083438090, 'p': 53}
  • id: 44191
    {'charpoly_factorization': [[[18509725251559962000, -8677102440, 1], 1]], 'hecke_orbit_code': 13510799083438090, 'p': 59}
  • id: 44192
    {'charpoly_factorization': [[[-103704002815741824476, -1115498764, 1], 1]], 'hecke_orbit_code': 13510799083438090, 'p': 61}
  • id: 44193
    {'charpoly_factorization': [[[-60746012945005563584, 12673769708, 1], 1]], 'hecke_orbit_code': 13510799083438090, 'p': 67}
  • id: 44194
    {'charpoly_factorization': [[[35725810972161089664, -13799832984, 1], 1]], 'hecke_orbit_code': 13510799083438090, 'p': 71}
  • id: 44195
    {'charpoly_factorization': [[[-94457912778074183036, 17842079516, 1], 1]], 'hecke_orbit_code': 13510799083438090, 'p': 73}
  • id: 44196
    {'charpoly_factorization': [[[-138170886783705228800, 12636930320, 1], 1]], 'hecke_orbit_code': 13510799083438090, 'p': 79}
  • id: 44197
    {'charpoly_factorization': [[[-754529899228717633056, -41986488924, 1], 1]], 'hecke_orbit_code': 13510799083438090, 'p': 83}
  • id: 44198
    {'charpoly_factorization': [[[-209237659093918359900, -13208740020, 1], 1]], 'hecke_orbit_code': 13510799083438090, 'p': 89}
  • id: 44199
    {'charpoly_factorization': [[[-5142463397427716320604, 61787462828, 1], 1]], 'hecke_orbit_code': 13510799083438090, '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': 4, 'label': '10.12.a.d', 'level': 10, 'portrait': 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', 'weight': 12}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 35521933
    {'hecke_orbit_code': 13510799083438090, 'n': 1, 'trace_an': 2}
  • id: 35521934
    {'hecke_orbit_code': 13510799083438090, 'n': 2, 'trace_an': 64}
  • id: 35521935
    {'hecke_orbit_code': 13510799083438090, 'n': 3, 'trace_an': 604}
  • id: 35521936
    {'hecke_orbit_code': 13510799083438090, 'n': 4, 'trace_an': 2048}
  • id: 35521937
    {'hecke_orbit_code': 13510799083438090, 'n': 5, 'trace_an': 6250}
  • id: 35521938
    {'hecke_orbit_code': 13510799083438090, 'n': 6, 'trace_an': 19328}
  • id: 35521939
    {'hecke_orbit_code': 13510799083438090, 'n': 7, 'trace_an': 14092}
  • id: 35521940
    {'hecke_orbit_code': 13510799083438090, 'n': 8, 'trace_an': 65536}
  • id: 35521941
    {'hecke_orbit_code': 13510799083438090, 'n': 9, 'trace_an': 221914}
  • id: 35521942
    {'hecke_orbit_code': 13510799083438090, 'n': 10, 'trace_an': 200000}
  • id: 35521943
    {'hecke_orbit_code': 13510799083438090, 'n': 11, 'trace_an': 421584}
  • id: 35521944
    {'hecke_orbit_code': 13510799083438090, 'n': 12, 'trace_an': 618496}
  • id: 35521945
    {'hecke_orbit_code': 13510799083438090, 'n': 13, 'trace_an': 1730524}
  • id: 35521946
    {'hecke_orbit_code': 13510799083438090, 'n': 14, 'trace_an': 450944}
  • id: 35521947
    {'hecke_orbit_code': 13510799083438090, 'n': 15, 'trace_an': 1887500}
  • id: 35521948
    {'hecke_orbit_code': 13510799083438090, 'n': 16, 'trace_an': 2097152}
  • id: 35521949
    {'hecke_orbit_code': 13510799083438090, 'n': 17, 'trace_an': -6323628}
  • id: 35521950
    {'hecke_orbit_code': 13510799083438090, 'n': 18, 'trace_an': 7101248}
  • id: 35521951
    {'hecke_orbit_code': 13510799083438090, 'n': 19, 'trace_an': -28897400}
  • id: 35521952
    {'hecke_orbit_code': 13510799083438090, 'n': 20, 'trace_an': 6400000}
  • id: 35521953
    {'hecke_orbit_code': 13510799083438090, 'n': 21, 'trace_an': -65446816}
  • id: 35521954
    {'hecke_orbit_code': 13510799083438090, 'n': 22, 'trace_an': 13490688}
  • id: 35521955
    {'hecke_orbit_code': 13510799083438090, 'n': 23, 'trace_an': -45236076}
  • id: 35521956
    {'hecke_orbit_code': 13510799083438090, 'n': 24, 'trace_an': 19791872}
  • id: 35521957
    {'hecke_orbit_code': 13510799083438090, 'n': 25, 'trace_an': 19531250}
  • id: 35521958
    {'hecke_orbit_code': 13510799083438090, 'n': 26, 'trace_an': 55376768}
  • id: 35521959
    {'hecke_orbit_code': 13510799083438090, 'n': 27, 'trace_an': 197876440}
  • id: 35521960
    {'hecke_orbit_code': 13510799083438090, 'n': 28, 'trace_an': 14430208}
  • id: 35521961
    {'hecke_orbit_code': 13510799083438090, 'n': 29, 'trace_an': 58226220}
  • id: 35521962
    {'hecke_orbit_code': 13510799083438090, 'n': 30, 'trace_an': 60400000}
  • id: 35521963
    {'hecke_orbit_code': 13510799083438090, 'n': 31, 'trace_an': 41413384}
  • id: 35521964
    {'hecke_orbit_code': 13510799083438090, 'n': 32, 'trace_an': 67108864}
  • id: 35521965
    {'hecke_orbit_code': 13510799083438090, 'n': 33, 'trace_an': -366506832}
  • id: 35521966
    {'hecke_orbit_code': 13510799083438090, 'n': 34, 'trace_an': -202356096}
  • id: 35521967
    {'hecke_orbit_code': 13510799083438090, 'n': 35, 'trace_an': 44037500}
  • id: 35521968
    {'hecke_orbit_code': 13510799083438090, 'n': 36, 'trace_an': 227239936}
  • id: 35521969
    {'hecke_orbit_code': 13510799083438090, 'n': 37, 'trace_an': 377255452}
  • id: 35521970
    {'hecke_orbit_code': 13510799083438090, 'n': 38, 'trace_an': -924716800}
  • id: 35521971
    {'hecke_orbit_code': 13510799083438090, 'n': 39, 'trace_an': 1094415848}
  • id: 35521972
    {'hecke_orbit_code': 13510799083438090, 'n': 40, 'trace_an': 204800000}
  • id: 35521973
    {'hecke_orbit_code': 13510799083438090, 'n': 41, 'trace_an': -785271036}
  • id: 35521974
    {'hecke_orbit_code': 13510799083438090, 'n': 42, 'trace_an': -2094298112}
  • id: 35521975
    {'hecke_orbit_code': 13510799083438090, 'n': 43, 'trace_an': -1452987236}
  • id: 35521976
    {'hecke_orbit_code': 13510799083438090, 'n': 44, 'trace_an': 431702016}
  • id: 35521977
    {'hecke_orbit_code': 13510799083438090, 'n': 45, 'trace_an': 693481250}
  • id: 35521978
    {'hecke_orbit_code': 13510799083438090, 'n': 46, 'trace_an': -1447554432}
  • id: 35521979
    {'hecke_orbit_code': 13510799083438090, 'n': 47, 'trace_an': -1288127748}
  • id: 35521980
    {'hecke_orbit_code': 13510799083438090, 'n': 48, 'trace_an': 633339904}
  • id: 35521981
    {'hecke_orbit_code': 13510799083438090, 'n': 49, 'trace_an': 8481998946}
  • id: 35521982
    {'hecke_orbit_code': 13510799083438090, 'n': 50, 'trace_an': 625000000}
  • id: 35521983
    {'hecke_orbit_code': 13510799083438090, 'n': 51, 'trace_an': -3889762056}
  • id: 35521984
    {'hecke_orbit_code': 13510799083438090, 'n': 52, 'trace_an': 1772056576}
  • id: 35521985
    {'hecke_orbit_code': 13510799083438090, 'n': 53, 'trace_an': -30490836}
  • id: 35521986
    {'hecke_orbit_code': 13510799083438090, 'n': 54, 'trace_an': 6332046080}
  • id: 35521987
    {'hecke_orbit_code': 13510799083438090, 'n': 55, 'trace_an': 1317450000}
  • id: 35521988
    {'hecke_orbit_code': 13510799083438090, 'n': 56, 'trace_an': 461766656}
  • id: 35521989
    {'hecke_orbit_code': 13510799083438090, 'n': 57, 'trace_an': -5811319600}
  • id: 35521990
    {'hecke_orbit_code': 13510799083438090, 'n': 58, 'trace_an': 1863239040}
  • id: 35521991
    {'hecke_orbit_code': 13510799083438090, 'n': 59, 'trace_an': 8677102440}
  • id: 35521992
    {'hecke_orbit_code': 13510799083438090, 'n': 60, 'trace_an': 1932800000}
  • id: 35521993
    {'hecke_orbit_code': 13510799083438090, 'n': 61, 'trace_an': 1115498764}
  • id: 35521994
    {'hecke_orbit_code': 13510799083438090, 'n': 62, 'trace_an': 1325228288}
  • id: 35521995
    {'hecke_orbit_code': 13510799083438090, 'n': 63, 'trace_an': -40536764356}
  • id: 35521996
    {'hecke_orbit_code': 13510799083438090, 'n': 64, 'trace_an': 2147483648}
  • id: 35521997
    {'hecke_orbit_code': 13510799083438090, 'n': 65, 'trace_an': 5407887500}
  • id: 35521998
    {'hecke_orbit_code': 13510799083438090, 'n': 66, 'trace_an': -11728218624}
  • id: 35521999
    {'hecke_orbit_code': 13510799083438090, 'n': 67, 'trace_an': -12673769708}
  • id: 35522000
    {'hecke_orbit_code': 13510799083438090, 'n': 68, 'trace_an': -6475395072}
  • id: 35522001
    {'hecke_orbit_code': 13510799083438090, 'n': 69, 'trace_an': 1728802848}
  • id: 35522002
    {'hecke_orbit_code': 13510799083438090, 'n': 70, 'trace_an': 1409200000}
  • id: 35522003
    {'hecke_orbit_code': 13510799083438090, 'n': 71, 'trace_an': 13799832984}
  • id: 35522004
    {'hecke_orbit_code': 13510799083438090, 'n': 72, 'trace_an': 7271677952}
  • id: 35522005
    {'hecke_orbit_code': 13510799083438090, 'n': 73, 'trace_an': -17842079516}
  • id: 35522006
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