Embedded newform data - 40.8.d.a.21.10

Formats: - HTML - YAML - JSON - 2025-10-26T12:28:42.503199

• 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': 2560, 'analytic_conductor': 12.49540101936487, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 8, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': 1, 'char_values': [40, 2, [31, 21, 17], [2, 1, 2]], 'cm_discs': [], 'conrey_index': 21, 'dim': 28, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 206292647976, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 8, 2, 1, 2, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '40.8.d.a', 'level': 40, '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, 5], 'level_radical': 10, 'minimal_twist': '40.8.d.a', 'prim_orbit_index': 2, 'related_objects': [], 'relative_dim': 28, 'rm_discs': [], 'sato_tate_group': '7.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '40.8.d', 'trace_display': [-14, 0, 0, 1372], 'traces': [28, -14, 0, -208, 0, -228, 1372, -2024, -20412, -3250, 0, -2788, 0, -26620, -13500, -48824, 0, 126562, 0, 20500, 0, -113892, 2588, -312408, -437500, 325932, 0, 482476, 0, -239000, 268024, -1445944, -99016, 651372, 0, 1544216, 0, -443660, -283944, -533000, -601208, 2692532, 0, 239528, 0, -142196, -2076460, -1158872, 4316268, 218750, 0, 1591040, 0, 4926168, 1331000, 2368232, 3788536, -5872008, 0, 435500, 0, 4008592, -14839060, 10179584, 0, -9178320, 0, -11198568, 0, -2491000, -1001656, -8674904, 2534128, -21884804, 0, -13848304, 0, 25352888, -22040096, -7560000, 11166300, 20089464, 0, -38088296, 0, 17672012, 34127184, 11943152, 3807224, 13443750, 0, 31988508, 0, 17925028, -13718000, -30275488, 15198608, 11064654, 0, 3250000, 0, -76291360, 76278524, 19329024, 9659000, 48537668, 0, 17012848, 0, -21846500, -124793464, -79511816, 21299928, 62779576, 0, -1903104, 0, -22040892, 97516632, -16721000, -28692636, 53809300, 0, 37670120, 0, -75033860, -125462980, -15122128, -15795088, 6128500, 0, 40868088, 0, 33307788, 39366000, -1475392, 65215624, -30327532, 0, 2793500, 0, -36598832, -207436800, 116594744, 0, -176178860, 0, -23119896, 0, 3562500, 261096504, 166107104, -141130704, 15607216, 0, 51459672, 0, 179517736, -317446968, 75443000, -87564512, -266228170, 0, -127788072, 0, -10908724, 334666980, 154647248, -240735172, -124636500, 0, -261809604, 0, -31736336, -21437500, 287509056, 193161880, -97814564, 0, -177144500, 0, 548990088, 481723768, -399962968, -47627000, 135069800, 0, -42197196, 0, 121321500, 368466424, 127298656, -236770192, 69409940, 0, 492115000, 0, -283631860, -80213072, 31625000, -114762960, -194361616, 0, 957910056, 0, 141541708, 674942732, -357786896, 210510560, -130143500, 0, -384647264, 0, -738363908, 278274500, -800871264, 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-67165395420, 4436625000, -196476238368, -294619427344, -179031905268, 0, -89240653500, 0, -141466924988, 131215982116, -126491298208, 26994344000, 177052679952, 0, -200759518112, 0, 107386789500, -3320264296, -160221833056, 237026104968, 20396789224, 0, 341116989256, 0, 272605035628, -80403753248, 8328125000], 'weight': 8, '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], [-0.540325586134802, 0.8414560362657593], [0.0, 0.6187285605407494], [-0.41609652193616536, -0.9093204520039271], [0.0, -0.4472135954999579], [-0.5206328820770378, -0.33431487213252276], [0.7988900238293293, 0.0], [0.9899807803424241, 0.14120217616101072], [0.6171749683711721, 0.0], [0.37631057943355317, 0.241640948115967], [0.0, 0.14406215242260986], [0.5626225343386535, -0.257450802063576], [0.0, -0.5294506773999308], [-0.43166072038282827, 0.6722308328636853], [0.276703824197942, 0.0], [-0.6537273688652525, 0.7567301548085117], [0.1354219530249521, 0.0], [-0.3334754265328814, 0.5193256025680518], [0.0, 1.3509599415288156], [-0.40666046880232315, 0.18608402165009963], [0.0, 0.4942960744742859], [-0.12122196775344293, -0.07784046694758785], [0.8195876925585832, 0.0], [-0.0873658192013235, 0.612529383184276], [-0.2, 0.0], [0.44550946840316696, 0.28607574759558557], [0.0, 1.0005923403228274], [-0.33241536032488417, -0.7264470375699138], [0.0, 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1.0524939343406758], [0.37827774325305186, 0.0], [-0.01262950657867681, 0.0885465728505579]], 'angles': [None, 0.05005812015010579, None, -0.18460142200315593, 0.011474038589351887, -0.45735935271582173, -0.23921521168225057, 0.11803176052314351, -0.18280031887131273, 0.07673590809316332, -0.16292587923788265, -0.46973333098466935, -0.11731651375710857, -0.4571309531547167, -0.14326324943367816, 0.0422483205616254, -0.4133510874554086, 0.12157418190188547, 0.027246393412754418, -0.11454764833107481, -0.31501338686566976, -0.32129528289835946, -0.4366096449577055, -0.4252956754938302, -0.37615244780440565, -0.3556540877900806, -0.1537933514871125, -0.3784130257641079, 0.04430160802776383, -0.3466011230207644, -0.3104610026880436, 0.029682924894922056, -0.14260809660962875, 0.09485680141716667, 0.051310692157864685, -0.26650586622111244, -0.41704560630728116, -0.47602595667247516, -0.19955758396654166, -0.36355526011444933, 0.05574312398326356, -0.4343833122581084, -0.3676376699114635, 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-0.48636784677126393, -0.4372862297247689, -0.3423308524198025, -0.2575741462998184, 0.010593536335701124, 0.019982501924135282, -0.16666863953432923, 0.01764984494155102, -0.36735255779904064, -0.20515457632889367, -0.44156850292164695, -0.2515449863571435, -0.4980862068393196, -0.3730089408160008, 0.12125127927630475, -0.2835332556240358, -0.30572887879343735, -0.2358934441511798, 0.051772328962968045, -0.31735706811998815, -0.1270859959106415, -0.1049058861553433, -0.26297152473678076, -0.44262003294865193, 0.020339574618616577, -0.21700603767205956, -0.20739860512110592, 0.04749289250941612, -0.22035649646086983, -0.21802158609472616, -0.2806037915146032, -0.4941596351030737], 'char_orbit_index': 4, 'conrey_index': 21, 'dual_conrey_index': 21, 'dual_embedding_index': 9, 'dual_embedding_m': 9, 'embedding_index': 10, 'embedding_m': 10, 'hecke_orbit': 1, 'hecke_orbit_code': 206292647976, 'label': '40.8.d.a.21.10', 'level': 40, 'weight': 8}
• 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': 2560, 'analytic_conductor': 12.49540101936487, 'char_conductor': 8, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': 1, 'char_values': [40, 2, [31, 21, 17], [2, 1, 2]], 'conrey_index': 21, 'cusp_dim': 40, 'dim': 28, 'eis_dim': 4, 'eis_new_dim': 0, 'hecke_cutter_primes': [], 'hecke_orbit_code': 206292647976, 'hecke_orbit_dims': [28], 'label': '40.8.d', 'level': 40, '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, 5], 'level_radical': 10, 'mf_dim': 44, 'mf_new_dim': 28, 'num_forms': 1, 'prim_orbit_index': 2, 'relative_dim': 28, 'sturm_bound': 48, 'trace_bound': 0, 'trace_display': [-14, 0, 0, 1372], 'traces': [28, -14, 0, -208, 0, -228, 1372, -2024, -20412, -3250, 0, -2788, 0, -26620, -13500, -48824, 0, 126562, 0, 20500, 0, -113892, 2588, -312408, -437500, 325932, 0, 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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: 2255671
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 21, 'source_dim': 28, 'source_embedding_index': 10, 'source_hecke_orbit_code': 206292647976, 'source_is_minimal': True, 'source_label': '40.8.d.a.21.10', 'source_level': 40, 'target_conrey_index': 21, 'target_dim': 28, 'target_embedding_index': 10, 'target_hecke_orbit_code': 206292647976, 'target_is_minimal': True, 'target_label': '40.8.d.a.21.10', 'target_level': 40, 'twist_class_label': '40.8.d.a.21.9', 'twist_class_level': 40, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 8}
  • id: 2255672
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 21, 'source_dim': 28, 'source_embedding_index': 10, 'source_hecke_orbit_code': 206292647976, 'source_is_minimal': True, 'source_label': '40.8.d.a.21.10', 'source_level': 40, 'target_conrey_index': 81, 'target_dim': 28, 'target_embedding_index': 10, 'target_hecke_orbit_code': 206292648096, 'target_is_minimal': False, 'target_label': '160.8.d.a.81.10', 'target_level': 160, 'twist_class_label': '40.8.d.a.21.9', 'twist_class_level': 40, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 2255673
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 21, 'source_dim': 28, 'source_embedding_index': 10, 'source_hecke_orbit_code': 206292647976, 'source_is_minimal': True, 'source_label': '40.8.d.a.21.10', 'source_level': 40, 'target_conrey_index': 81, 'target_dim': 28, 'target_embedding_index': 19, 'target_hecke_orbit_code': 206292648096, 'target_is_minimal': False, 'target_label': '160.8.d.a.81.19', 'target_level': 160, 'twist_class_label': '40.8.d.a.21.9', 'twist_class_level': 40, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 2255674
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 21, 'source_dim': 28, 'source_embedding_index': 10, 'source_hecke_orbit_code': 206292647976, 'source_is_minimal': True, 'source_label': '40.8.d.a.21.10', 'source_level': 40, 'target_conrey_index': 21, 'target_dim': 28, 'target_embedding_index': 9, 'target_hecke_orbit_code': 206292647976, 'target_is_minimal': True, 'target_label': '40.8.d.a.21.9', 'target_level': 40, 'twist_class_label': '40.8.d.a.21.9', 'twist_class_level': 40, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 8}
• hecke_orbit_code 206292647976 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': 4, 'hecke_orbit': 1, 'label': '40.8.d.a', 'level': 40, 'portrait': 'data:image/png;base64,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', 'weight': 8}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 7093260
    {'hecke_orbit_code': 206292647976, 'n': 1, 'trace_an': 28}
  • id: 7093261
    {'hecke_orbit_code': 206292647976, 'n': 2, 'trace_an': -14}
  • id: 7093262
    {'hecke_orbit_code': 206292647976, 'n': 3, 'trace_an': 0}
  • id: 7093263
    {'hecke_orbit_code': 206292647976, 'n': 4, 'trace_an': -208}
  • id: 7093264
    {'hecke_orbit_code': 206292647976, 'n': 5, 'trace_an': 0}
  • id: 7093265
    {'hecke_orbit_code': 206292647976, 'n': 6, 'trace_an': -228}
  • id: 7093266
    {'hecke_orbit_code': 206292647976, 'n': 7, 'trace_an': 1372}
  • id: 7093267
    {'hecke_orbit_code': 206292647976, 'n': 8, 'trace_an': -2024}
  • id: 7093268
    {'hecke_orbit_code': 206292647976, 'n': 9, 'trace_an': -20412}
  • id: 7093269
    {'hecke_orbit_code': 206292647976, 'n': 10, 'trace_an': -3250}
  • id: 7093270
    {'hecke_orbit_code': 206292647976, 'n': 11, 'trace_an': 0}
  • id: 7093271
    {'hecke_orbit_code': 206292647976, 'n': 12, 'trace_an': -2788}
  • id: 7093272
    {'hecke_orbit_code': 206292647976, 'n': 13, 'trace_an': 0}
  • id: 7093273
    {'hecke_orbit_code': 206292647976, 'n': 14, 'trace_an': -26620}
  • id: 7093274
    {'hecke_orbit_code': 206292647976, 'n': 15, 'trace_an': -13500}
  • id: 7093275
    {'hecke_orbit_code': 206292647976, 'n': 16, 'trace_an': -48824}
  • id: 7093276
    {'hecke_orbit_code': 206292647976, 'n': 17, 'trace_an': 0}
  • id: 7093277
    {'hecke_orbit_code': 206292647976, 'n': 18, 'trace_an': 126562}
  • id: 7093278
    {'hecke_orbit_code': 206292647976, 'n': 19, 'trace_an': 0}
  • id: 7093279
    {'hecke_orbit_code': 206292647976, 'n': 20, 'trace_an': 20500}
  • id: 7093280
    {'hecke_orbit_code': 206292647976, 'n': 21, 'trace_an': 0}
  • id: 7093281
    {'hecke_orbit_code': 206292647976, 'n': 22, 'trace_an': -113892}
  • id: 7093282
    {'hecke_orbit_code': 206292647976, 'n': 23, 'trace_an': 2588}
  • id: 7093283
    {'hecke_orbit_code': 206292647976, 'n': 24, 'trace_an': -312408}
  • id: 7093284
    {'hecke_orbit_code': 206292647976, 'n': 25, 'trace_an': -437500}
  • id: 7093285
    {'hecke_orbit_code': 206292647976, 'n': 26, 'trace_an': 325932}
  • id: 7093286
    {'hecke_orbit_code': 206292647976, 'n': 27, 'trace_an': 0}
  • id: 7093287
    {'hecke_orbit_code': 206292647976, 'n': 28, 'trace_an': 482476}
  • id: 7093288
    {'hecke_orbit_code': 206292647976, 'n': 29, 'trace_an': 0}
  • id: 7093289
    {'hecke_orbit_code': 206292647976, 'n': 30, 'trace_an': -239000}
  • id: 7093290
    {'hecke_orbit_code': 206292647976, 'n': 31, 'trace_an': 268024}
  • id: 7093291
    {'hecke_orbit_code': 206292647976, 'n': 32, 'trace_an': -1445944}
  • id: 7093292
    {'hecke_orbit_code': 206292647976, 'n': 33, 'trace_an': -99016}
  • id: 7093293
    {'hecke_orbit_code': 206292647976, 'n': 34, 'trace_an': 651372}
  • id: 7093294
    {'hecke_orbit_code': 206292647976, 'n': 35, 'trace_an': 0}
  • id: 7093295
    {'hecke_orbit_code': 206292647976, 'n': 36, 'trace_an': 1544216}
  • id: 7093296
    {'hecke_orbit_code': 206292647976, 'n': 37, 'trace_an': 0}
  • id: 7093297
    {'hecke_orbit_code': 206292647976, 'n': 38, 'trace_an': -443660}
  • id: 7093298
    {'hecke_orbit_code': 206292647976, 'n': 39, 'trace_an': -283944}
  • id: 7093299
    {'hecke_orbit_code': 206292647976, 'n': 40, 'trace_an': -533000}
  • id: 7093300
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