Embedded newform data - 624.4.n.d.623.19

Formats: - HTML - YAML - JSON - 2026-01-18T20:50:16.013187

• 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': 9984, 'analytic_conductor': 36.817191843582144, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 156, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 14, 'char_orbit_label': 'n', 'char_order': 2, 'char_parity': 1, 'char_values': [624, 2, [79, 469, 209, 145], [1, 2, 1, 1]], 'cm_discs': [], 'conrey_index': 623, 'dim': 56, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [-8876779891200, 0, 3840096259584, 0, -239045797728, 0, 5900226660, 0, -68688684, 0, 389325, 0, -1026, 0, 1]], [7, [-401059365175296, 0, 190421154118656, 0, -12184653799872, 0, 218646373284, 0, -1280089524, 0, 3067101, 0, -2986, 0, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13511692302418544, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 4, 2, -1, 2, 0], [1, 1, 12, 2, 1, 2, 0], [1, 1, 13, 2, 1, 2, 0], [1, 1, 39, 4, -1, 2, 0], [1, 1, 52, 2, -1, 2, 0], [1, 1, 156, 8, 1, 2, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '624.4.n.d', 'level': 624, '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, 3, 13], 'level_radical': 78, 'minimal_twist': '624.4.n.d', 'prim_orbit_index': 8, 'related_objects': [], 'relative_dim': 56, 'rm_discs': [], 'sato_tate_group': '3.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '624.4.n', 'trace_display': [0, 0, 0, 0], 'traces': [56, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4680, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1616, 0, 0, 0, 0, 0, 0, 0, 480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1568, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6936, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5512, 0, 0, 0, 5992, 0, 0, 0, 0, 0, 0, 0, 5112, 0, 0, 0, -5120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1832, 0, 0, 0, 11920, 0, 0, 0, 0, 0, 0, 0, -6288, 0, 0, 0, 1976, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6352, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4992, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4160, 0, 0, 0, 0, 0, 0, 0, -27640, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -19984, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12168, 0, 0, 0, -30448, 0, 0, 0, 0, 0, 0, 0, -336, 0, 0, 0, -9080, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8640, 0, 0, 0, -44608, 0, 0, 0, 0, 0, 0, 0, -8736, 0, 0, 0, -45832, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1888, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -73032, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53072, 0, 0, 0, 0, 0, 0, 0, 40368, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -23928, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 83016, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 30192, 0, 0, 0, 20096, 0, 0, 0, 0, 0, 0, 0, -39224, 0, 0, 0, 96576, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 50352, 0, 0, 0, 29408, 0, 0, 0, 0, 0, 0, 0, -11168, 0, 0, 0, 15696, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -9120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 157112, 0, 0, 0, 0, 0, 0, 0, -11304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -123104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 11640, 0, 0, 0, 70112, 0, 0, 0, 0, 0, 0, 0, 100848, 0, 0, 0, 96608, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 95712, 0, 0, 0, -10792, 0, 0, 0, 0, 0, 0, 0, -138696, 0, 0, 0, -77976, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 81024, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -99200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28704, 0, 0, 0, 0, 0, 0, 0, -152976, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 49080, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14840, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 141456, 0, 0, 0, -47520, 0, 0, 0, 0, 0, 0, 0, 58944, 0, 0, 0, 35632, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 306600, 0, 0, 0, -207456, 0, 0, 0, 0, 0, 0, 0, -212304, 0, 0, 0, -89296, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -268224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -191696, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 159448, 0, 0, 0, 0, 0, 0, 0, -145536, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -370032, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 318816, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 212064, 0, 0, 0, 261312, 0, 0, 0, 0, 0, 0, 0, -112736, 0, 0, 0, -10560, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 73488, 0, 0, 0, -143440, 0, 0, 0, 0, 0, 0, 0, -600672, 0, 0, 0, -225600, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -58920, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -545136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 368848, 0, 0, 0], 'weight': 4, '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], [0.0, 0.0], [-0.4617770791353892, 0.8869960141878815], [0.0, 0.0], [-0.14837946016270817, 0.0], [0.0, 0.0], [0.24839684722122676, 0.0], [0.0, 0.0], [-0.573523858370377, -0.8191888572728243], [0.0, 0.0], [0.0, 1.4975972415972187], [0.0, 0.0], [0.5379877357785243, -0.8429526654278381], [0.0, 0.0], [0.06851823371762122, -0.1316119897516717], [0.0, 0.0], [0.0, 0.6262075904963545], [0.0, 0.0], [-0.966351393148168, 0.0], [0.0, 0.0], [-0.1147039705762576, 0.2203270134220643], [0.0, 0.0], [0.20716052579526167, 0.0], [0.0, 0.0], [-0.9779835358018233, 0.0], [0.0, 0.0], [0.9914574234008519, -0.13043073864447743], [0.0, 0.0], [0.0, 1.4320930467709545], [0.0, 0.0], [-0.1436057272937982, 0.0], [0.0, 0.0], [-1.3283627841554988, -0.6915560799459795], [0.0, 0.0], [-0.03685699009680433, 0.0], [0.0, 0.0], [0.0, -1.4171052011148952], [0.0, 0.0], [0.49926524914507464, 0.8664491970081722], [0.0, 0.0], [-0.9654594176776761, 0.0], [0.0, 0.0], [0.0, 0.07797421816239343], [0.0, 0.0], [0.08509916049543004, 0.12155080041344747], [0.0, 0.0], [0.0, -0.24302152357953313], [0.0, 0.0], [-0.9382990062905545, 0.0], [0.0, 0.0], [-0.5554436368244636, -0.28916831207181654], [0.0, 0.0], [0.0, -0.7840685541756998], [0.0, 0.0], [0.0, -0.22221267024935615], [0.0, 0.0], [0.44623892374637514, -0.8571498340273315], [0.0, 0.0], [0.0, 1.060365268307633], [0.0, 0.0], [-0.6972823980676682, 0.0], [0.0, 0.0], [-0.14246151822535502, -0.20348392942532906], [0.0, 0.0], [-0.07982632980897512, 0.12507686143889857], [0.0, 0.0], [1.5402452070168469, 0.0], [0.0, 0.0], [-0.09566198251388738, 0.1837505606774629], [0.0, 0.0], [0.0, -1.089748656854045], [0.0, 0.0], [0.0, -0.730999544308489], [0.0, 0.0], [0.4516103806050663, -0.8674674981975886], [0.0, 0.0], [0.0, 0.37199843321995496], [0.0, 0.0], [0.0, -0.3505279294309601], [0.0, 0.0], [-0.3421407677599115, 0.9396487083142606], [0.0, 0.0], [0.0, -1.8748116242511852], [0.0, 0.0], [0.0, -0.09291634422763932], [0.0, 0.0], [-1.270260824432016, -0.6613077441879917], [0.0, 0.0], [-1.0613880614999431, 0.0], [0.0, 0.0], [0.13363445741107183, -0.20938678444900455], [0.0, 0.0], [0.06631383329684337, -0.12737770772415086], [0.0, 0.0], [0.14338669804280613, 0.0], [0.0, 0.0], [0.0, -1.67131311890197], [0.0, 0.0], [1.2268149729989593, -0.8589077482856705], [0.0, 0.0], [0.0, -1.1603595101443658], [0.0, 0.0], [0.0, -0.28794288664870793], [0.0, 0.0], [0.017019713232624266, -0.03269200331082766], [0.0, 0.0], [-0.9524753761954606, 0.0], [0.0, 0.0], [0.0, -0.8907042790306888], [0.0, 0.0], [1.2569666650738283, 0.6543867005984046], [0.0, 0.0], [0.0, 1.6218162140187182], [0.0, 0.0], [-0.03073836698452371, 0.0], [0.0, 0.0], [-0.9990862327065543, 0.042739906600563655], [0.0, 0.0], [0.0, 0.1555479911852955], [0.0, 0.0], [-1.2427974980395982, 0.0], [0.0, 0.0], [0.445827029918951, -0.8563586553402518], [0.0, 0.0], [0.2934921292529993, 0.0], [0.0, 0.0], [0.0, 0.9081828151138899], [0.0, 0.0], [-0.06916282071945928, -0.03600670671089565], [0.0, 0.0], [-1.3306608833735967, 0.0], [0.0, 0.0], [-0.2400386393658451, 0.0], [0.0, 0.0], [-0.14711191725852799, 0.019353242588690842], [0.0, 0.0], [-0.7878895287196697, 0.0], [0.0, 0.0], [0.0, -0.26913349414345145], [0.0, 0.0], [0.21555912277691214, 0.11222176932558892], [0.0, 0.0], [1.2624035865417533, 0.8056889491150514], [0.0, 0.0], [0.0, -0.2124931931826422], [0.0, 0.0], [0.43328497448049047, -0.8322674786961718], [0.0, 0.0], [1.0178271708851039, 0.0], [0.0, 0.0], [-1.4389569593890479, 0.0], [0.0, 0.0], [0.5129822804742774, -0.3591449934422863], [0.0, 0.0], [0.021308140292126864, 0.0], [0.0, 0.0], [0.15063844989499967, 0.0], [0.0, 0.0], [0.6954656824039007, 0.36206488678916227], [0.0, 0.0], [0.051458021476234614, 0.0], [0.0, 0.0], [0.019909956848399718, 0.0], [0.0, 0.0], [0.19710175281322495, 0.10261271781462308], [0.0, 0.0], [0.0, -0.06049123284647781], [0.0, 0.0], [-0.4211383923037933, -0.9069963916839892], [0.0, 0.0], [0.5542255795399263, 0.7916242934770494], [0.0, 0.0], [0.0, 0.9288343063441585], [0.0, 0.0], [-0.24292802692744064, 0.0], [0.0, 0.0], [-0.9405397665721341, -0.4896523764157121], [0.0, 0.0], [0.8963490635507307, 0.0], [0.0, 0.0], [-0.03709165747038104, 0.0], [0.0, 0.0], [0.32198902911220756, -0.6184867078493894], [0.0, 0.0], [0.0, 0.21026930473519417], [0.0, 0.0], [-0.9378067601945813, 0.0], [0.0, 0.0], [0.24627489812685252, -0.03239858426002402], [0.0, 0.0], [-0.7819718764482548, 0.0], [0.0, 0.0], [0.0, -0.3217964047389802], [0.0, 0.0], [-0.07408070814614617, -0.12856326411048458], [0.0, 0.0], [-1.3830405679633904, 0.0], [0.0, 0.0], [0.0, 1.8748310375816053], [0.0, 0.0], [-0.7112499328485224, 1.3661913594959316], [0.0, 0.0], [0.0, 0.3557273977453459], [0.0, 0.0], [0.14325434720401617, 0.0], [0.0, 0.0], [-0.11881150405613448, -0.16970359439825786], [0.0, 0.0], [0.0, -1.4472051807923256], [0.0, 0.0], [0.0, 0.6206847434446728], [0.0, 0.0], [0.9666027150961354, 0.5032209517537745], [0.0, 0.0], [0.0, -0.011569772397545171], [0.0, 0.0], 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[-0.17356889291577235, 0.0], [0.0, 0.0], [-0.18483407811834654, -1.40499947138532], [0.0, 0.0]], 'angles': [None, None, -0.2618185209766412, -0.23018203299030532, 0.13468449337438626, None, 0.05068438759062618, -0.3302583833408157, -0.2334850677888071, 0.12702508701082882, -0.2614376231382127, -0.374674242701248, -0.3301773219090654, 0.006206564128880609, -0.48061305290417755, -0.43588572939396636, 0.08893832086514149, -0.30667840911762434, -0.11009750050801011, -0.40828867751308157, -0.4404490478686413, -0.47196105671076666, -0.3066101033086871, -0.33903433247317927, -0.34254370648029886, -0.40149114820560255, -0.47700632696601164, -0.32899990668257456, -0.42653924791807024, 0.15051319734582935, 0.07501802505472994, -0.36585466936696676, -0.31444493876868834, -0.4785178674295296, -0.16502363534188222, -0.3778095542422522, -0.2380012099240158, -0.2484155898050842, -0.4951855264044471, 0.07686807701425047, -0.17603715557922595, -0.2529518295459627, -0.31393294798545823, 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-0.45235202019534565, -0.26864850703476145, -0.2925622718227612, -0.43939049436329614, -0.3727904599192941, -0.3564193284751822, -0.07960588229587014, -0.48518561878341915, 0.05890826333705742, -0.1314928465700546, -0.47998264643234767, 0.15196277669986857, -0.49829240082561915, 0.1207146970960983, 0.08737586454967622, 0.16132759429707674, -0.41905445095298605, -0.47148665949512264, -0.28606421580894414, 0.1612999734627164, -0.26115428554441267, -0.4250069989267778, -0.3472032626576336, -0.21909561187844878, -0.20329905508978588, 0.006987256223604672, 0.008877916911886833, -0.09456420493273994, -0.1382655862452095, -0.16633887297896818, -0.3528822979122042, 0.020412879981151922, -0.2638295704866629], 'char_orbit_index': 14, 'conrey_index': 623, 'dual_conrey_index': 623, 'dual_embedding_index': 17, 'dual_embedding_m': 17, 'embedding_index': 19, 'embedding_m': 19, 'hecke_orbit': 4, 'hecke_orbit_code': 13511692302418544, 'label': '624.4.n.d.623.19', 'level': 624, 'weight': 4}
• 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': 9984, 'analytic_conductor': 36.817191843582144, 'char_conductor': 156, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 14, 'char_orbit_label': 'n', 'char_order': 2, 'char_parity': 1, 'char_values': [624, 2, [79, 469, 209, 145], [1, 2, 1, 1]], 'conrey_index': 623, 'cusp_dim': 324, 'dim': 84, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7], 'hecke_orbit_code': 893420307056, 'hecke_orbit_dims': [2, 2, 24, 56], 'label': '624.4.n', 'level': 624, '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, 3, 13], 'level_radical': 78, 'mf_dim': 348, 'mf_new_dim': 84, 'num_forms': 4, 'prim_orbit_index': 8, 'relative_dim': 84, 'sturm_bound': 448, 'trace_bound': 7, 'trace_display': [0, 0, 0, 0], 'traces': [84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3756, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 792, 0, 0, 0, 0, 0, 0, 0, 3120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -912, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8004, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2172, 0, 0, 0, -4548, 0, 0, 0, 0, 0, 0, 0, 1044, 0, 0, 0, -960, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9180, 0, 0, 0, 17880, 0, 0, 0, 0, 0, 0, 0, 5352, 0, 0, 0, 6228, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3960, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12960, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3744, 0, 0, 0, 0, 0, 0, 0, -22932, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -13152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18360, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24204, 0, 0, 0, -48552, 0, 0, 0, 0, 0, 0, 0, 19272, 0, 0, 0, -51636, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -17088, 0, 0, 0, -14976, 0, 0, 0, 0, 0, 0, 0, 5040, 0, 0, 0, -67068, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -39660, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 39960, 0, 0, 0, 0, 0, 0, 0, 16296, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36684, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 97068, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 38664, 0, 0, 0, 11424, 0, 0, 0, 0, 0, 0, 0, -50484, 0, 0, 0, 47808, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -17688, 0, 0, 0, 84624, 0, 0, 0, 0, 0, 0, 0, 66480, 0, 0, 0, 17592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -29232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 104688, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 167700, 0, 0, 0, 0, 0, 0, 0, -32028, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -87696, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -26232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -73356, 0, 0, 0, -19440, 0, 0, 0, 0, 0, 0, 0, 132264, 0, 0, 0, -47184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -14448, 0, 0, 0, 30180, 0, 0, 0, 0, 0, 0, 0, -43692, 0, 0, 0, 8940, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 169056, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -67392, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -203184, 0, 0, 0, 0, 0, 0, 0, -50808, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 140916, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108492, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 49752, 0, 0, 0, -20304, 0, 0, 0, 0, 0, 0, 0, -32640, 0, 0, 0, 33768, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 215100, 0, 0, 0, 42192, 0, 0, 0, 0, 0, 0, 0, 7848, 0, 0, 0, 43656, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -142560, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -22104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -91452, 0, 0, 0, 0, 0, 0, 0, 31776, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -223944, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 116304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -29040, 0, 0, 0, -8352, 0, 0, 0, 0, 0, 0, 0, -216528, 0, 0, 0, -165312, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -252840, 0, 0, 0, -57816, 0, 0, 0, 0, 0, 0, 0, -282288, 0, 0, 0, -17184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -201276, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -30024, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -34824, 0, 0, 0], '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: 43530898
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 623, 'source_dim': 56, 'source_embedding_index': 19, 'source_hecke_orbit_code': 13511692302418544, 'source_is_minimal': True, 'source_label': '624.4.n.d.623.19', 'source_level': 624, 'target_conrey_index': 623, 'target_dim': 56, 'target_embedding_index': 19, 'target_hecke_orbit_code': 13511692302418544, 'target_is_minimal': True, 'target_label': '624.4.n.d.623.19', 'target_level': 624, 'twist_class_label': '624.4.n.d.623.17', 'twist_class_level': 624, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 43530899
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 623, 'source_dim': 56, 'source_embedding_index': 19, 'source_hecke_orbit_code': 13511692302418544, 'source_is_minimal': True, 'source_label': '624.4.n.d.623.19', 'source_level': 624, 'target_conrey_index': 623, 'target_dim': 56, 'target_embedding_index': 40, 'target_hecke_orbit_code': 13511692302418544, 'target_is_minimal': True, 'target_label': '624.4.n.d.623.40', 'target_level': 624, 'twist_class_label': '624.4.n.d.623.17', 'twist_class_level': 624, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 43530900
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 623, 'source_dim': 56, 'source_embedding_index': 19, 'source_hecke_orbit_code': 13511692302418544, 'source_is_minimal': True, 'source_label': '624.4.n.d.623.19', 'source_level': 624, 'target_conrey_index': 623, 'target_dim': 56, 'target_embedding_index': 37, 'target_hecke_orbit_code': 13511692302418544, 'target_is_minimal': True, 'target_label': '624.4.n.d.623.37', 'target_level': 624, 'twist_class_label': '624.4.n.d.623.17', 'twist_class_level': 624, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 43530901
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 623, 'source_dim': 56, 'source_embedding_index': 19, 'source_hecke_orbit_code': 13511692302418544, 'source_is_minimal': True, 'source_label': '624.4.n.d.623.19', 'source_level': 624, 'target_conrey_index': 623, 'target_dim': 56, 'target_embedding_index': 18, 'target_hecke_orbit_code': 13511692302418544, 'target_is_minimal': True, 'target_label': '624.4.n.d.623.18', 'target_level': 624, 'twist_class_label': '624.4.n.d.623.17', 'twist_class_level': 624, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 43530902
    {'conductor': 13, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 623, 'source_dim': 56, 'source_embedding_index': 19, 'source_hecke_orbit_code': 13511692302418544, 'source_is_minimal': True, 'source_label': '624.4.n.d.623.19', 'source_level': 624, 'target_conrey_index': 623, 'target_dim': 56, 'target_embedding_index': 20, 'target_hecke_orbit_code': 13511692302418544, 'target_is_minimal': True, 'target_label': '624.4.n.d.623.20', 'target_level': 624, 'twist_class_label': '624.4.n.d.623.17', 'twist_class_level': 624, 'twisting_char_label': '13.12', 'twisting_conrey_index': 12, 'weight': 4}
  • id: 43530903
    {'conductor': 39, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 623, 'source_dim': 56, 'source_embedding_index': 19, 'source_hecke_orbit_code': 13511692302418544, 'source_is_minimal': True, 'source_label': '624.4.n.d.623.19', 'source_level': 624, 'target_conrey_index': 623, 'target_dim': 56, 'target_embedding_index': 39, 'target_hecke_orbit_code': 13511692302418544, 'target_is_minimal': True, 'target_label': '624.4.n.d.623.39', 'target_level': 624, 'twist_class_label': '624.4.n.d.623.17', 'twist_class_level': 624, 'twisting_char_label': '39.38', 'twisting_conrey_index': 38, 'weight': 4}
  • id: 43530904
    {'conductor': 52, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 623, 'source_dim': 56, 'source_embedding_index': 19, 'source_hecke_orbit_code': 13511692302418544, 'source_is_minimal': True, 'source_label': '624.4.n.d.623.19', 'source_level': 624, 'target_conrey_index': 623, 'target_dim': 56, 'target_embedding_index': 38, 'target_hecke_orbit_code': 13511692302418544, 'target_is_minimal': True, 'target_label': '624.4.n.d.623.38', 'target_level': 624, 'twist_class_label': '624.4.n.d.623.17', 'twist_class_level': 624, 'twisting_char_label': '52.51', 'twisting_conrey_index': 51, 'weight': 4}
  • id: 43530905
    {'conductor': 156, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 623, 'source_dim': 56, 'source_embedding_index': 19, 'source_hecke_orbit_code': 13511692302418544, 'source_is_minimal': True, 'source_label': '624.4.n.d.623.19', 'source_level': 624, 'target_conrey_index': 623, 'target_dim': 56, 'target_embedding_index': 17, 'target_hecke_orbit_code': 13511692302418544, 'target_is_minimal': True, 'target_label': '624.4.n.d.623.17', 'target_level': 624, 'twist_class_label': '624.4.n.d.623.17', 'twist_class_level': 624, 'twisting_char_label': '156.155', 'twisting_conrey_index': 155, 'weight': 4}
• hecke_orbit_code 13511692302418544 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': 14, 'hecke_orbit': 4, 'label': '624.4.n.d', 'level': 624, 'portrait': 'data:image/png;base64,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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 37308583
    {'hecke_orbit_code': 13511692302418544, 'n': 1, 'trace_an': 56}
  • id: 37308584
    {'hecke_orbit_code': 13511692302418544, 'n': 2, 'trace_an': 0}
  • id: 37308585
    {'hecke_orbit_code': 13511692302418544, 'n': 3, 'trace_an': 0}
  • id: 37308586
    {'hecke_orbit_code': 13511692302418544, 'n': 4, 'trace_an': 0}
  • id: 37308587
    {'hecke_orbit_code': 13511692302418544, 'n': 5, 'trace_an': 0}
  • id: 37308588
    {'hecke_orbit_code': 13511692302418544, 'n': 6, 'trace_an': 0}
  • id: 37308589
    {'hecke_orbit_code': 13511692302418544, 'n': 7, 'trace_an': 0}
  • id: 37308590
    {'hecke_orbit_code': 13511692302418544, 'n': 8, 'trace_an': 0}
  • id: 37308591
    {'hecke_orbit_code': 13511692302418544, 'n': 9, 'trace_an': -64}
  • id: 37308592
    {'hecke_orbit_code': 13511692302418544, 'n': 10, 'trace_an': 0}
  • id: 37308593
    {'hecke_orbit_code': 13511692302418544, 'n': 11, 'trace_an': 0}
  • id: 37308594
    {'hecke_orbit_code': 13511692302418544, 'n': 12, 'trace_an': 0}
  • id: 37308595
    {'hecke_orbit_code': 13511692302418544, 'n': 13, 'trace_an': 8}
  • id: 37308596
    {'hecke_orbit_code': 13511692302418544, 'n': 14, 'trace_an': 0}
  • id: 37308597
    {'hecke_orbit_code': 13511692302418544, 'n': 15, 'trace_an': 0}
  • id: 37308598
    {'hecke_orbit_code': 13511692302418544, 'n': 16, 'trace_an': 0}
  • id: 37308599
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  • id: 37308607
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  • id: 37308614
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  • id: 37308616
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  • id: 37308713
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  • id: 37308719
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  • id: 37308720
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  • id: 37308721
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  • id: 37308722
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  • id: 37308724
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  • id: 37308725
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  • id: 37308726
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  • id: 37308727
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  • id: 37308728
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  • id: 37308729
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  • id: 37308730
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  • id: 37308731
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  • id: 37308732
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  • id: 37308733
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  • id: 37308734
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  • id: 37308737
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  • id: 37308738
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  • id: 37308739
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  • id: 37308740
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  • id: 37308741
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  • id: 37308742
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  • id: 37308743
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  • id: 37308744
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  • id: 37308745
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  • id: 37308746
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  • id: 37308747
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  • id: 37308748
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  • id: 37308749
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    {'hecke_orbit_code': 13511692302418544, 'n': 719, 'trace_an': 0}
  • id: 37308798
    {'hecke_orbit_code': 13511692302418544, 'n': 727, 'trace_an': 0}
  • id: 37308799
    {'hecke_orbit_code': 13511692302418544, 'n': 729, 'trace_an': 14840}
  • id: 37308800
    {'hecke_orbit_code': 13511692302418544, 'n': 733, 'trace_an': 0}
  • id: 37308801
    {'hecke_orbit_code': 13511692302418544, 'n': 739, 'trace_an': 0}
  • id: 37308802
    {'hecke_orbit_code': 13511692302418544, 'n': 743, 'trace_an': 0}
  • id: 37308803
    {'hecke_orbit_code': 13511692302418544, 'n': 751, 'trace_an': 0}
  • id: 37308804
    {'hecke_orbit_code': 13511692302418544, 'n': 757, 'trace_an': 35632}
  • id: 37308805
    {'hecke_orbit_code': 13511692302418544, 'n': 761, 'trace_an': 0}
  • id: 37308806
    {'hecke_orbit_code': 13511692302418544, 'n': 769, 'trace_an': 0}
  • id: 37308807
    {'hecke_orbit_code': 13511692302418544, 'n': 773, 'trace_an': 0}
  • id: 37308808
    {'hecke_orbit_code': 13511692302418544, 'n': 787, 'trace_an': 0}
  • id: 37308809
    {'hecke_orbit_code': 13511692302418544, 'n': 797, 'trace_an': 0}
  • id: 37308810
    {'hecke_orbit_code': 13511692302418544, 'n': 809, 'trace_an': 0}
  • id: 37308811
    {'hecke_orbit_code': 13511692302418544, 'n': 811, 'trace_an': 0}
  • id: 37308812
    {'hecke_orbit_code': 13511692302418544, 'n': 821, 'trace_an': 0}
  • id: 37308813
    {'hecke_orbit_code': 13511692302418544, 'n': 823, 'trace_an': 0}
  • id: 37308814
    {'hecke_orbit_code': 13511692302418544, 'n': 827, 'trace_an': 0}
  • id: 37308815
    {'hecke_orbit_code': 13511692302418544, 'n': 829, 'trace_an': -191696}
  • id: 37308816
    {'hecke_orbit_code': 13511692302418544, 'n': 839, 'trace_an': 0}
  • id: 37308817
    {'hecke_orbit_code': 13511692302418544, 'n': 841, 'trace_an': 159448}
  • id: 37308818
    {'hecke_orbit_code': 13511692302418544, 'n': 853, 'trace_an': 0}
  • id: 37308819
    {'hecke_orbit_code': 13511692302418544, 'n': 857, 'trace_an': 0}
  • id: 37308820
    {'hecke_orbit_code': 13511692302418544, 'n': 859, 'trace_an': 0}
  • id: 37308821
    {'hecke_orbit_code': 13511692302418544, 'n': 863, 'trace_an': 0}
  • id: 37308822
    {'hecke_orbit_code': 13511692302418544, 'n': 877, 'trace_an': 0}
  • id: 37308823
    {'hecke_orbit_code': 13511692302418544, 'n': 881, 'trace_an': 0}
  • id: 37308824
    {'hecke_orbit_code': 13511692302418544, 'n': 883, 'trace_an': 0}
  • id: 37308825
    {'hecke_orbit_code': 13511692302418544, 'n': 887, 'trace_an': 0}
  • id: 37308826
    {'hecke_orbit_code': 13511692302418544, 'n': 907, 'trace_an': 0}
  • id: 37308827
    {'hecke_orbit_code': 13511692302418544, 'n': 911, 'trace_an': 0}
  • id: 37308828
    {'hecke_orbit_code': 13511692302418544, 'n': 919, 'trace_an': 0}
  • id: 37308829
    {'hecke_orbit_code': 13511692302418544, 'n': 929, 'trace_an': 0}
  • id: 37308830
    {'hecke_orbit_code': 13511692302418544, 'n': 937, 'trace_an': -143440}
  • id: 37308831
    {'hecke_orbit_code': 13511692302418544, 'n': 941, 'trace_an': 0}
  • id: 37308832
    {'hecke_orbit_code': 13511692302418544, 'n': 947, 'trace_an': 0}
  • id: 37308833
    {'hecke_orbit_code': 13511692302418544, 'n': 953, 'trace_an': 0}
  • id: 37308834
    {'hecke_orbit_code': 13511692302418544, 'n': 961, 'trace_an': -58920}
  • id: 37308835
    {'hecke_orbit_code': 13511692302418544, 'n': 967, 'trace_an': 0}
  • id: 37308836
    {'hecke_orbit_code': 13511692302418544, 'n': 971, 'trace_an': 0}
  • id: 37308837
    {'hecke_orbit_code': 13511692302418544, 'n': 977, 'trace_an': 0}
  • id: 37308838
    {'hecke_orbit_code': 13511692302418544, 'n': 983, 'trace_an': 0}
  • id: 37308839
    {'hecke_orbit_code': 13511692302418544, 'n': 991, 'trace_an': 0}
  • id: 37308840
    {'hecke_orbit_code': 13511692302418544, 'n': 997, 'trace_an': 368848}